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Perceived benefits and barriers of medical doctors regarding electronic medical record systems in an Indian private-sector healthcare facility
BMC Health Services Research volume 25, Article number: 719 (2025)
Abstract
Background
Electronic medical record systems (EMRS) have transformed healthcare by improving quality, efficiency, and safety through centralized patient data and streamlined workflows. Challenges such as budget constraints and staff resistance hinder its adoption, particularly in resource-limited settings like India; however, they have not been investigated thoroughly. The objective of our study is to explore the benefits and barriers perceived by medical doctors in implementing EMRS in an Indian private-sector hospital.
Methods
A cross-sectional study was conducted at a private hospital in a rural area of the Ujjain district, Madhya Pradesh, India. All 130 doctors pursuing postgraduate studies were invited to participate in person using a convenience sampling method. Responses from 105 doctors were received using a self-administered questionnaire. The survey captured participantsâ attitudes, perceived benefits, and barriers to EMRS implementation in the facility. Descriptive statistics were used to analyse the data.
Results
Of the respondents, 93% expressed a desire for EMRS implementation. Identified barriers included financial constraints, insufficient infrastructure, staffing shortages, and technological challenges, such as unreliable internet access. Participants highlighted the anticipated benefits, such as improved data accessibility, enhanced operational efficiency, and preferences for digitizing lab reports and e-prescriptions.
Conclusion
Exploring and addressing the financial, organizational, and technological barriers as perceived by the participants are crucial steps to facilitate EMRS implementation in healthcare facilities. Larger in-depth studies are necessary to develop tailored strategies for overcoming these challenges in similar settings.
Background
An electronic medical record system (EMRS) is a digital repository of the patientâs health information [1, 2]. It can include medical history, diagnoses, medications, treatment plans, allergies, and test results, resulting in a large database that enables real-time access for healthcare professionals [1, 2]. EMRS enhance healthcare quality, efficiency, and patient safety [3, 4] by supporting informed decision-making, streamlining administrative tasks, and improving communication among healthcare teams [1, 5]. It provides alerts for allergies, drug interactions and supports telemedicine and remote healthcare access, expanding healthcare services to underserved areas [2, 4, 6,7,8]. However, successful implementation requires acceptance and readiness within healthcare facilities [9].
The adoption of EMRS is complex and multifaceted, influenced by interconnected factors such as the organizationâs infrastructure, technological readiness, regulatory compliance and healthcare providersâ training [9]. Although there is substantial research on EMRS implementation dynamics in high-income countries (HICs) [9,10,11], a critical gap remains in understanding how these systems function within the unique context of lower-middle-income countries (LMICs).
Health Management Information Systems (HMIS) serve as a foundation for digital health tools, supporting the collection and use of health data [12, 13]. India is transitioning from HMIS to comprehensive EMRS adoption through initiatives like the Ayushman Bharat Digital Mission, which integrates data from public and private healthcare facilities and streamlines reimbursement processes [14]. Digital interventions, such as Co-WIN and U-WIN, demonstrate EMRS potential in resource-limited settings [15]. However, infrastructure gaps, resource disparities, and workforce limitations remain challenges, highlighting the need for focused research [16]. The challenges faced by LMICs are different from those faced by HICs, and India presents a unique scenario with factors significantly affecting EMRS adoption [17].
Indiaâs healthcare is divided into the public and private sectors, with a diverse landscape, ranging from small 10-bed clinics to 5,000-bed hospitals [18,19,20]. The large population stimulates challenges such as high patient loads, workforce shortages, and antimicrobial resistance, creating obstacles for EMRS adoption [18,19,20]. Moreover, private facilities, the most common healthcare providers, often operate with constrained resources and regulations [21]. Data management practices also vary significantly between public and private settings, leading to gaps in uniformity and comprehensiveness [16]. Understanding these variations is crucial for developing standardized EMRS frameworks in resource-limited environments.
Prelaunch assessments are vital to identifying challenges before full-scale EMRS implementation [22, 23]. Healthcare professionalsâ readiness and competency play a critical role in determining implementation success [24]. Studies from HICs provide valuable insights. A study in a tertiary care setting in the Western Sydney local health district found that, before EMRS launch, clinicians anticipated improved data completeness but expressed concerns regarding increased workload [23]. Post-launch, benefits in data efficiency were observed, though concerns remained about workload management, system functionality, and staff acceptance. These findings underscore the importance of ongoing support and refinement in EMRS implementation [23].
In India, a study at primary health centres (PHCs) identified budget constraints, lack of IT staff, and perceptions of EMRS as time-consuming as major barriers [25]. Another case study in an Indian hospital found that stakeholdersâ engagement, iterative system design, and staff incentives were key to successful adoption [26]. A global literature review identified eight categories of barriers to EMRS adoption: financial, technical, time, psychological, social, legal, organizational, and change process [27]. In Saudi Arabia, a study found strong leadership and change management were crucial for overcoming implementation barriers, reinforcing that EMRS adoption is a socio-technical transformation, not just a technical project, requiring strong leadership, effective communication, and continuous training [28].
Understanding the complexities of EMRS implementation is essential for developing context-specific strategies that address the distinct challenges of healthcare systems in LMICs. Recent studies have emphasized the need for tailored approaches in EMRS in LMICs [10, 29, 30]. For example, a comparative analysis found that EMRS adoption in HICs is often supported by robust infrastructure, advanced healthcare systems, and comprehensive policies [10]. In contrast, LMICs face challenges such as inadequate infrastructure, financial constraints, and insufficient regulatory frameworks [10]. Additionally, healthcare providersâ preparedness and acceptance remain underexplored, emphasizing the need for context-specific approaches in LMICs.
Despite these valuable insights, a deeper understanding of hospitalsâ staff preparedness, perceived benefits, and challenges is crucial for successful adoption [16, 26, 31]. Thus, this study aims to address this critical gap by investigating the benefits and barriers associated with EMRS implementation among medical doctors in a private-sector hospital in Central India. Exploring these factors will contribute to a body of knowledge that can guide the integration of tailored EMRS, with implications for both healthcare practice and policy development.
Methods
Study setting and study participants
This study was conducted at a private-sector hospital with 800 beds, situated in a rural setting in Central India. The hospital provides tertiary-level medical care and is affiliated with a medical college within the Ujjain district of Madhya Pradesh state [32]. It has served an average of 1760 outpatients and 157 inpatients per day in the year 2024. The medical records are maintained using paper files.
In India, postgraduate medical education offers two types of 3-year specialized programs for medical doctors (MBBS graduates, i.e. Bachelor of Medicine and Bachelor of Surgery). It includes: (1) the Doctor of Medicine (MD), which offers training in medical specialization without surgery and (2) the Master of Surgery (MS), which focuses on surgical specialities. There were no new admissions in these postgraduate programs during the COVID-19 pandemic period, resulting in no participants from the second year. Therefore, the study participants were medical doctors enrolled in the first or third year of one of these postgraduate programs. These doctors were responsible for providing clinical services and patient record documentation.
Method of data collection
The data were collected between May and July 2023 using the convenience sampling method. Following the all-inclusive method, all medical doctors enrolled on postgraduate programs during the study period were invited to participate in any of the multiple sessions conducted for physical data collection. Each session comprised an explanation of the study goals, its ethical foundations and a clarification that the data will be presented only at the group level, followed by responding to the printed questionnaire. Out of the 130 invited doctors, 105 participated and filled out the questionnaires in nine sessions. The surveys were filled out in 20â25 min. Additionally, participants were encouraged to ask questions if they needed further explanation or clarification on the topic.
Data collection tool
The development of the questionnaire was a systematic process guided by expert opinions and relevant existing literature [33,34,35,36,37] (see supplementary file). Additionally, the questionnaire was pretested with a sample of ten participants at different time points (not included in this manuscript). During this pretest, participants provided feedback on the clarity of two questions and instructions for filling out the questionnaire. Based on their feedback, minor adjustments were made to refine the questionâs wording, ensuring the surveyâs clarity and validity of the questions. Reliability was ensured through test-retest reliability by administering the questionnaire to four participants from the pretesting phase at two different time points, with a one-month interval, to check for consistency and stability in their responses. Cohenâs Kappa [38] was calculated to determine the percentage of agreement between the test and retest results, yielding a Kappa value between 0.85 and 0.90, indicating a strong agreement.
The structured questionnaire encompassed various sections, each designed to capture specific benefits and barriers to the implementation of EMRS in the inpatient departments of the hospital. These sections included the following information:
-
Demographic information: sex, department, and qualifications.
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Attitudes towards EMRS: Capturing respondentsâ attitudes and perceptions regarding EMRS adoption, including any concerns or expectations they might hold.
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Perceived benefits of EMRS: Exploring respondentsâ expectations regarding the benefits of EMRS, including improved patient care, enhanced clinical efficiency, and more effective data management.
-
Perceived barriers to EMRS: Investigating potential challenges and obstacles associated with EMR implementation, including financial constraints, infrastructure limitations, and resistance to change.
The perceived benefits and barriers were expressed through categorical responses, grouped into distinct categories for barriers: âMajor Barrier,â âBarrier but possible to Manage,â and âNot Applicableâ; and for benefits: âMajor Benefit,â âMinor Benefit,â and âThis is not a Benefit but a Barrierâ. Each section, except the demographic section, included an open space and open-ended questions to record additional reflections of the participants.
Data analysis
The data were entered into the Epi Info software version 3.1 and subsequently exported to an Excel spreadsheet to check its completeness. The data were then imported into STATA version 18.0 for analysis. Cohenâs Kappa was calculated to determine the reliability of the questionnaire [38]. Descriptive statistics, specifically frequencies, were utilized to identify underlying patterns and trends in the data. To examine associations and determine the significance of relationships, the chi-square test was employed, allowing us to identify significant connections and factors that influence the adoption and perceptions of EMRS. Additionally, responses to open-ended questions were grouped into key categories and quantified to summarize participantsâ perspectives on EMRS.
Results
Sociodemographic characteristics
The participantsâ sex was evenly distributed (male-51%) across the 105 respondents (Table 1). The Anesthesia department had the highest representation (17%), followed by Surgery (15%), Obstetrics and Gynecology (14%), and Medicine (13%). Most of the participants (53%) were in their first year of postgraduate education.
Attitudes towards the implementation of EMRS
93% of the respondents agreed with the need to implement EMRS in the inpatient departments of their facility (Fig. 1). 68% of participants thought that a prescription electronic support system (ESS) would be beneficial, while 14% and 7% stated it would be impractical and useless, respectively. On the other hand, attitudes toward the potential time-saving advantages of EMRS were mixed, with 46% thinking it would save time. A statistically significant association was found between the year of postgraduate specialization and the belief that the ESS for prescribing medication would be useful (Pearson ÏÂČ= 7.5255, pâ= 0.006), where 68% of third-year specialization doctors believed in the usefulness of the EES.
Awareness of the data recording and analysis to assess healthcare quality in the facility
The respondentsâ awareness of the types of data that are frequently recorded and analyzed in the study hospital is presented in Fig. 2. Forty-five percent of the participants were aware of medication error reports, 75% were aware that treatment regimen reports were present, 69% said they were aware of adverse drug reaction reports, and 53% of the respondents were familiar with reports on antibiotic resistance patterns. Additionally, 86% indicated the presence of electronic discharge report summaries, and 76% of the respondents mentioned the existence of electronic summary reports for lab results.
Perceived barriers to EMRS implementation
The following are the main perceived challenges and barriers associated with the implementation of EMRS (Table 2);
-
a)
Financial and Legal Concerns: A significant segment (44%) of respondents pointed out that insufficient funds could pose a major obstacle to EMRS implementation. Additionally, 31% expressed worries regarding potential breaches of confidentiality, whereas 29% raised concerns about regulatory obstacles related to the electronic signatures in the EMRS.
-
b)
Organizational Challenges: The organizational aspect revealed multifaceted challenges. The shortage of staffing was pointed out by more than half of the respondents (56%), along with resistance from existing staff members. Moreover, the absence of dedicated information technology (IT) personnel was cited as a major barrier by 58% of the respondents. Staff competency was considered crucial for seamless EMRS utilization; therefore, it was also considered a major barrier by half of the respondents (51%). A total of 47% highlighted the lack of necessary infrastructure as a significant barrier. The lack of coordination within the healthcare system was emphasized by 48%, perceiving it as a major barrier. Furthermore, the absence of management support was acknowledged as a significant barrier by 46% of the respondents.
-
c)
Technological challenges: The necessity of reliable internet access to support the efficient utilization of EMRS was underlined by 42% of the respondents. Additionally, 39% of the participants identified difficulties in selecting an appropriate system for the hospital and the availability of a systematic training program for the staff as significant obstacles to EMRS implementation.
The Pearson chi-square statistic of pâ> 0.05 indicates a statistically significant association between time management as a barrier and the successful implementation of EMR systems (Table 2). Additionally, a statistically significant association was observed between the affiliated departments of respondents and staff resistance (Pearson ÏÂČ= 6.1662, pâ= 0.046), indicating that different departments may have varying levels of readiness and willingness to support EMRS technology. Staff resistance was identified as a major barrier by 72% of respondents from the medicine department and 57% from both the obstetrics and gynecology department and the surgery department.
In response to the open-ended question regarding additional barriers to digitalizing medical records in their healthcare facility. Participants expressed concerns about the lack of technological knowledge among the staff and the lack of knowledge and awareness about EMRS, this was reflected by Participant-79 (P-79), âLack of technological knowledge exists among staffâ and P-52, âLack of time and awareness is thereâ. They also expressed concerns about the time required to initiate and maintain EMRS, which will be a significant challenge, as noted by P-102, âA lot of time will be required initially to start EMR and to maintain itâ. Additionally, the lack of training among nursing staff was reported as a factor increasing the rigidity in completing their daily tasks, and placing an additional workload on the duty doctors, âNursing staff is never trained for any digital work, their rigidity to do any work always create a burden on the duty doctorâ (P-95). Finally, staff dissatisfaction was stated as a barrier to the successful implementation of EMRS; P-80 wrote, âUnsatisfied and unqualified staff is a barrierâ.
Perceived benefits of the EMRS implementation
Seventy-nine percent of respondents anticipated that EMRS could revolutionize the accessibility of clinical data and enable convenient retrieval of patient information from any location at any time. Operational efficiency was another perceived advantage, with 79% of the participants anticipating that EMRS would improve healthcare processes through digital record-keeping. Furthermore, 54% of the participants anticipated EMRS to empower staff and increase their satisfaction, potentially making the facility more attractive for future employees (Table 3).
In response to the open-ended question about any further anticipated benefits of using EMRS, a variety of advantages were expressed by participants (nâ= 60, 57%). The responses, mostly provided in a single sentence, were grouped into categories, as shown in Table 4.
Accessibility and retrieval of records
Participants noted that EMRS offers significant benefits in terms of accessing and retrieving medical records. They emphasized the ease of checking old records and patient history, which facilitates long-term record-keeping for future consultations. The systemâs ability to provide quick and easy access to patient history records was seen as enhancing efficiency and data retrieval, particularly for handling large amounts of information and conducting long-term information gathering. This was reflected by P-61, âIt [EMRS] will be much easier to gather information from about the past 10â15 years.â, and P-30, âIt will give easy access to medical records of patientsâ.
Medication management and planning
The respondents anticipated that EMRS implementation could assist and promote a better understanding of prescriptions, promoting rational medicine use and ensuring proper medication prescribing, a facet that is currently lacking. P-23 wrote, âEMR can help in proper medication of patients,which is lacking at the momentâ.
Additionally, EMRS was seen as a tool to prevent the dispensing of expired medications from the pharmacy and increase patient compliance: âIt [EMRS] will prevent dispensing of expired medicinesâ (P-28). There was also an expectation that EMRS could help control antibiotic resistance by supporting the analysis of treatment efficacy and monitoring follow-ups, thus avoiding overprescribing or the use of too broad-spectrum antibiotics. P-102 wrote, âResistance against antimicrobial drugs will be reducedâ.
Paperless and cost-effective
The transition to a paperless system was seen as an advantage, offering space-saving, and reducing the risk of data loss. P-47 described this benefit as, âIt is paperless, so will be cost-effective and will also protect against loss of dataâ.
Improvement in the healthcare system
The implementation of EMRS was anticipated to enhance overall healthcare system quality. P-22 highlighted, âManagement control of quality monitoring may be easyâ. Participants mentioned improvements in quality monitoring and health facility operations. They also believed that EMRS could expedite service delivery and improve patient care by streamlining record handling: âEasy handling of records will lead to getting better service to the patient (P-24)â
Legal benefits
Increased transparency and accountability in medical record-keeping were considered benefits for law-related issues, âIt will provide more transparency and less burden of storage of patient dataâ (P-72).
Overall, these responses highlighted the multifaceted advantages associated with the implementation of EMRS in healthcare facilities.
Digitalization preference
In response to the open-ended question regarding which parts of their routine work would they prefer for digitalization, (nâ= 73, 70%) the respondents expressed a variety of preferences (Fig. 3).
The majority (nâ= 51, 70%) indicated a desire for the digitalization of lab reports. Additionally, e-prescriptions emerged as another crucial aspect, with (nâ= 15, 21%) participants advocating for their digitalization.
Discussion
This study provides valuable insights into EMRS implementation in an Indian private-sector hospital. It highlights the specific challenges and opportunities faced by an academic hospital in India, contributing to the broader understanding of EMRS in this context.
Clinical training and perceptions of EMRS
A statistically significant association was found between the year of the postgraduate specialization program and the perceived usefulness of the ESS for prescribing medication, particularly among third-year students. It suggests that advancement in time of clinical training increases the recognition of the practical value of the ESS in clinical decision-making. It indicates that more experienced doctors who have encounters with more complex cases and clinical responsibilities might better appreciate the structured guidance provided by the ESS. Furthermore, 68% of respondents believed that an ESS would be beneficial for prescribing medication.
The participants, who are doctors and future specialists, will prescribe antibiotics and play a crucial role in antimicrobial resistance (AMR). Early exposure and training to use ESS and EMRS can promote responsible antibiotic-prescribing practices in the future. EMRS functionalities, such as prescription alerts and medication usage monitoring, can support doctors in making informed decisions, thereby promoting responsible antibiotic use [39,40,41]. This underscores the potential need for early integration of ESS and EMRS in medical education. However, the participantsâ opinions on the potential time-saving advantages of ESS were divided. The mixed responses may reflect the diverse experiences and expectations of healthcare professionals regarding the implementation and effectiveness of these support systems within their practice and need further studies.
Perceived barriers and challenges of EMRS implementation
Participants highlighted concerns about staff competency, inadequate training, and a lack of IT personnel. Additionally, 86% considered unreliable internet as a barrier to EMRS implementation, with 42% considering it a major challenge. A systematic review in the United States of America (USA) found cost, user perceptions, and implementation process to be key challenges, while facility characteristics and IT infrastructure were less common [42]. Another systematic review identified technological limitations as major barriers to Indiaâs digital healthcare transformation [43].
Although specific research on internet access and EMR adoption in India is limited, strengthening internet infrastructure is crucial. Unlike LMICs, USA-based studies did not mention internet access, possibly assuming it as a basic part of the facilityâs infrastructure [42]. This variation in perceived barriers between HICs and LMICs underscores the need for tailored strategies to overcome challenges in diverse healthcare settings.
Moreover, our study identified financial constraints as a key barrier, with 44% citing a lack of funds as a major barrier. This finding resonates with similar global studies, where financial limitations have been identified as a primary obstacle to EMRS adoption [44,45,46,47]. This emphasizes the need for strategic resource allocation and budget planning to support implementation efforts.
Organizational challenges, such as staff shortages and resistance, were universal barriers to EMRS adoption [44, 45, 47]. Regulatory obstacles and inadequate infrastructure were also frequently reported [44, 45, 47]. These factors further complicate the implementation process and emphasize the need for management strategies and staff engagement initiatives [28]. Organizational culture, including supportive leadership, open communication, comprehensive infrastructure planning, technological support and staff collaboration, significantly influences the success of EMRS adoption [48]. Exploring the role of organizational culture in shaping attitudes toward EMRS adoption warrants in-depth investigation, especially in resource-limited settings.
A multi-faceted approach is suggested to address the above-mentioned barriers and facilitate successful EMRS implementation in such settings. Financial limitations can be managed through strategic resource allocation, including prioritizing budget planning, seeking government grants, and exploring private partnerships [23, 28]. Conducting cost-benefit analyses to demonstrate potential savings and patient outcome improvements can further justify investments [45, 46]. Organizational challenges, such as staff resistance, can be addressed with effective change management plans, including leadership engagement to champion the EMRS initiative and involving staff in planning can increase acceptability and reduce resistance and fostering a user-centred design [45, 46]. Addressing these issues further requires targeted training programs to enhance staff competency, securing adequate funding and resources, and establishing robust technology and support systems. Regulatory obstacles require proactive compliance and advocacy. Staying updated with current regulations and investing in a robust IT infrastructure will support ongoing technical needs and compliance [45, 46].
Perceived benefits of EMRS implementation
A majority of respondents expressed a notable positive attitude towards EMRS implementation (93%), featuring the recognition of the potential benefits of digitalization in healthcare delivery. Our findings indicate that less than half of the respondents (41%) believe that EMRS saves time. This aligns with insights from a multicentric qualitative study conducted among physicians and nurses in trauma hospitals, academic medical centres, medical clinics, home health centres, and small hospitals in the USA [49]. In another study conducted in Saudi Arabia, a HIC demonstrated that 34% of physicians agreed with the time-saving capacity of EMRS and 27% strongly agreed that EMRS could save time [50]. This discrepancy regarding the potential time-saving advantages of EMRS highlights the need for further exploration of the gains associated with EMRS adoption and clarification of expectations among stakeholders.
Moreover, our study participants expressed optimism about the potential transformative impact of EMRS on healthcare delivery. The majority anticipated improvements in the accessibility and retrieval of clinical data, enhanced management control, and streamlined healthcare processes. These anticipated benefits align with findings from studies conducted in the USA, which have highlighted the potential of EMRS to improve efficiency, patient safety, and overall quality of care [49]. Moreover, the emphasis on potential cost savings and time efficiency resonates with similar studies, indicating a consistent recognition of these benefits among healthcare professionals worldwide [51]. These anticipated benefits align with the overarching goals of EMRS adoption, underscoring the transformative potential of these systems in optimizing healthcare processes and outcomes [52].
Digitalization preference
The unique aspect of this study lies in the specific question asked to participants, which focused on identifying particular areas of routine work they believed would benefit most from digitalization, offering a targeted understanding of their preferences and perceived priorities. Notably, the participants expressed a strong desire to prioritize the digitalization of lab reports, e-prescriptions, order entry processes, and medication administration. This finding underscores the importance of aligning digitalization efforts with staff needs and workflow requirements to maximize the potential benefits of EMRS implementation.
Sustainability, frameworks, and future directions for EMRS implementation
Our study highlights the perceived barriers and benefits involved in adopting digital healthcare solutions and provides guidance for optimizing the EMRS implementation process. The sustained integration of EMRS can significantly enhance clinical decision-making and patient safety, particularly through features like electronic prescribing [16, 31]. Long-term benefits include improved data-driven decision making in patient care, enabling healthcare providers to make timely, informed decisions that improve patient outcomes [53]. Additionally, EMRS plays a vital role in monitoring antimicrobial use [53]. By tracking antibiotic prescriptions, it supports targeted antibiotic stewardship programs, helping to prevent over-prescription and combat AMR, a significant health threat [53].
The Precede-Proceed model is a systematic approach, where the problems are first identified, followed by exploring participantsâ preparation and understanding, and then interventions are developed, introduced and evaluated [54, 55]. Following structured implementation frameworks is essential to ensure a systematic and effective EMRS adoption process, addressing key challenges and optimizing long-term sustainability.
Our study serves as a foundation of the primary phase focused on identifying key challenges and perceptions related to EMRS adoption. Preparing participants for EMRS implementation is critical and involves motivating healthcare professionals in a supportive manner rather than applying pressure [54, 55]. Our study adheres to this model and lays a strong foundation for successful intervention and sustainable long-term impact in subsequent stages. Based on the insights gained in this initial phase, future phases will include the development of tailored interventions to enhance acceptability and expand EMRS implementations.
Although this study focused on a tertiary care setting, the findings have potential implications for strengthening PHC [25]. Integrating PHC with tertiary care hospitals through EMRS can facilitate seamless data sharing and patient tracking across care levels. This is especially important in contexts like India, where patients often transit between PHC and higher-level facilities without comprehensive medical records, leading to repeated or inappropriate antibiotic prescriptions. Enhanced record continuity could significantly support antimicrobial stewardship efforts [56]. Recent PHC reforms in India, including the establishment of Health and Wellness Centres under the Ayushman Bharat program, provide a valuable opportunity to integrate EMRS into the PHC infrastructure and extend digital benefits to the primary level [57].
Strengths and limitations
The study has several strengths that employ the use of a comprehensive questionnaire with closed- and open-ended questions, capturing various aspects of EMRS implementation. This approach highlights the perceived benefits and barriers among healthcare professionals in a private, rural, tertiary care facility in a LMIC. The validated questionnaire, developed through literature review and pilot testing, can be implemented in other similar settings after careful testing. Including participants from diverse departments and experience levels enhances the generalizability. However, limitations include its single centre design and small sample size, which may not fully represent all Indian healthcare facilities. Yet, many private-sector hospitals in India share similar operational structures and resources [58, 59], making these findings carefully transferable to a significant extent to a broader Indian private-sector context and other similar LMIC settings. To enhance generalizability in future research, stratified random sampling could help ensure broader representation across diverse healthcare settings.
Additionally, a self-reported questionnaire introduces the risk of response bias but remains a cost-effective method to record reflections from larger groups while maintaining the anonymity of the participants. However, self-administered questionnaires are also frequently used in exploratory studies, particularly for assessing perceptions and attitudes [60]. Lastly, while this study identifies key barriers and benefits, deeper contextual exploration is needed. Future research should integrate qualitative methods like focus groups, in-depth interviews, and detailed surveys for a more comprehensive understanding.
Implications for healthcare practice and policy
The findings from this study offer valuable insights for healthcare facilities, practice and policy, especially regarding strategies to facilitate EMRS adoption in private hospitals in a LMIC. By displaying the perceived barriers such as financial limitations, staff resistance, and regulatory challenges, this study highlights key areas where targeted interventions are needed to improve the success of EMRS implementation. Healthcare facilities may benefit from investing in modifying management strategies and preparing the staff through training and building confidence for EMRS implementation. Moreover, our findings highlight the need for policymakersâ support to address financial and infrastructural barriers in private-sector facilities. They might consider subsidies, grants, encouragements, or incentives to promote EMRS adoption in low-resource settings, including private sector facilities.
Conclusion
Our study provides important perspectives on the dynamics of EMRS implementation in an Indian private healthcare facility, specifically highlighting the perceived barriers, preparedness, and anticipated benefits among healthcare professionals and offers thoughtful considerations for both healthcare professionals and researchers. The participants recognized various barriers, such as financial constraints, insufficient infrastructure, technological and resource limitations and resistance to change. At the same time, the critical role of EMRS was also acknowledged in enhancing resource efficiency, patient care, and overall facility upscaling. Therefore, our study fills the key gap in understanding healthcare professionalsâ perspectives on EMRS readiness and implementation in LMICs settings.
Furthermore, the findings lay the groundwork for evidence-based strategies to support successful EMRS implementation, emphasizing the need for structured frameworks that prepare and motivate healthcare professionals. To facilitate smoother adoption and maximize EMRS benefits, tailored intervention models should be explored. Policymakers and administrators must focus on targeted capacity-building initiatives, sustainable funding models, and a stepwise approach to EMRS implementation to address the key barriers. Additionally, this study provides a convincing rationale for expanding research on a larger scale to better understand the complexities of EMRS implementation in private healthcare facilities in LMICs. Further in-depth qualitative study will provide essential and actionable recommendations to optimize EMRS effectiveness, ultimately contributing to improved healthcare delivery and public health outcomes in LMICs.
Data availability
To protect participantsâ privacy and maintain participantsâ anonymity, the datasets generated and analysed during the current study cannot be shared publicly but can be made available upon suitable request.
Abbreviations
- AMR:
-
Antimicrobial resistance
- EMRS:
-
Electronic medical record systems
- ESS:
-
Electronic support system
- HICs:
-
High-income countries
- HMIS:
-
Health management information systems
- LMICs:
-
Lower-middle-income countries
- PHCs:
-
Primary health centres
- MBBS:
-
Bachelor of Medicine and Bachelor of Surgery
- MD:
-
Doctor of Medicine
- MS:
-
Master of Surgery
- IT:
-
Information technology
- USA:
-
United States of America
References
Manca D, Greiver M. Do electronic medical records improve quality of care? Can Fam Physician. 2015;61. Available from: https://www.cfp.ca.
Aldosari B. Patientsâ safety in the era of EMR/EHR automation. Inf Med Unlocked. 2017;9:230â3. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.imu.2017.10.001.
Keasberry J, Scott IA, Sullivan C, Staib A, Ashby R. Going digital: a narrative overview of the clinical and organisational impacts of eHealth technologies in hospital practice. Aust Health Rev. 2017;41(6):646â64. https://doiorg.publicaciones.saludcastillayleon.es/10.1071/AH16233.
Anshari M. Redefining electronic health records (EHR) and electronic medical records (EMR) to promote patient empowerment. IJID. 2019;8(1):35â9.
Zheng K, Ratwani RM, Adler-Milstein J. Studying workflow and workarounds in electronic health record-supported work to improve health system performance. Ann Intern Med. 2020;172(11 Suppl):S116â22. https://doiorg.publicaciones.saludcastillayleon.es/10.7326/M19-0871.
Tapuria A, Porat T, Kalra D, Dsouza G, Xiaohui S, Curcin V. Impact of patient access to their electronic health record: systematic review. Inf Health Soc Care. 2021;46(2):194â206. Epub 2021 Apr 10. PMID: 33840342.
Martin SK, Tulla K, Meltzer DO, Arora VM, Farnan JM. Attending physician remote access of the electronic health record and implications for resident supervision: A mixed methods study. J Grad Med Educ. 2017;9(6):706â13. https://doiorg.publicaciones.saludcastillayleon.es/10.4300/JGME-D-16-00847.1. PMID: 29270258; PMCID: PMC5734323.
Zhang X, Saltman R. Impact of electronic health record interoperability on telehealth service outcomes. JMIR Med Inf. 2022;10(1):e31837. https://doiorg.publicaciones.saludcastillayleon.es/10.2196/31837. PMID: 34890347; PMCID: PMC8790688.
Fennelly O, Cunningham C, Grogan L, Cronin H, OâShea C, Roche M, et al. Successfully implementing a National electronic health record: a rapid umbrella review. Int J Med Inf. 2020;144:104281. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijmedinf.2020.104281. Epub 2020 Sep 23. PMID: 33017724; PMCID: PMC7510429.
Odoemene MI. Developing strategies for adopting and implementing electronic medical records/electronic health records: A comparative analysis between low-middle-income and high-income countries. IOSR J Nurs Health Sci. 2024;13(2 Ser 1):14â41. https://doiorg.publicaciones.saludcastillayleon.es/10.9790/1959-1302011441.
Li E, Clarke J, Neves AL, Ashrafian H, Darzi A. Electronic health records, interoperability and patient safety in health systems of high-income countries: A systematic review protocol. BMJ Open. 2021;11:e044941. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmjopen-2020-044941. PMID: 34261679; PMCID: PMC8280868.
World Health Organisation. Framework and standards for country health information systems. 2nd ed. Geneva: World Health Organization; 2012.
World Health Organization. What are the main challenges to improved production and use of health information? UHC technical briefs. Geneva: World Health Organization; 2017.
National Health Authority of India. Ayushman Bharat Digital Mission. Accessed 19 Jan 2025. https://abdm.gov.in/.
Karol S, Thakare MM. Strengthening immunisation services in India through digital transformation from Co-WIN to U-WIN: A review. Prev Med Res Reviews. 2024;1:25â8. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/PMRR.PMRR_18_23.
Mukherjee A. Implementing electronic health records in India: status, issues, and way forward. Biomed J Sci Tech Res. 2021;33(2). https://doiorg.publicaciones.saludcastillayleon.es/10.26717/BJSTR.2021.33.005378.
Jain NB, Nundy S. Electronic health records in India: challenges and promises. J Med Evid. 2021;2:278â9.
Thakral Y, Sahay S, Mukherjee A. Strengthening digital monitoring of antibiotic resistance in low-resource settings. J Glob Health. 2022;12:03061. https://doiorg.publicaciones.saludcastillayleon.es/10.7189/jogh.12.03061. PMID: 36183253; PMCID: PMC9527008.
Machowska A, Landstedt K, Lundborg CS, Sharma M. Antibiotic prescribing to patients with infectious and non-infectious indications admitted to obstetrics and gynaecology departments in two tertiary care hospitals in central India. Antibiot (Basel). 2020;9(8):464. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/antibiotics9080464. PMID: 32751558; PMCID: PMC7459830.
Sharma M, Eriksson B, Marrone G, Dhaneria S, Lundborg CS. Antibiotic prescribing in two private sector hospitals; one teaching and one non-teaching: a cross-sectional study in Ujjain, India. BMC Infect Dis. 2012;12:155. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1471-2334-12-155. PMID: 22788873; PMCID: PMC3447672.
Khan IA, Priyanka N, Mitra SK, Lahariya AU, Vaz RP, Lahariya C. The role of private practitioners in bridging the healthcare gap and achieving universal health coverage in India. Prev Med Res Rev. 2024;1:260â3.
Yan C, Zhang X, Yang Y, Kang K, Were MC, EmbĂ P, et al. Differences in health professionalsâ engagement with electronic health records based on inpatient race and ethnicity. JAMA Netw Open. 2023;6(10):e2336383. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jamanetworkopen.2023.36383.
Janssen A, Donnelly C, Elder E, Pathmanathan N, Shaw T. Electronic medical record implementation in tertiary care: factors influencing adoption of an electronic medical record in a cancer centre. BMC Health Serv Res. 2021;21(1):23. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-020-06015-6. PMID: 33407449; PMCID: PMC7789279.
Veenstra GL, Rietzschel EF, Molleman E, Heineman E, Pols J, Welker GA. Electronic health record implementation and healthcare workersâ work characteristics and autonomous motivationâa before-and-after study. BMC Med Inf Decis Mak. 2022;22(1):120. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12911-022-01858-x. PMID: 35505319; PMCID: PMC9063104.
Barigela R, Kodali P, Hense S. What is stopping primary health centers to go digital?? Findings of a Mixed-method study at a district level health system in Southern India. Indian J Community Med. 2021;46(1):97â101. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/IJCM.IJCM_304_20. Epub 2021 Mar 1. PMID: 34035586; PMCID: PMC8117913.
Scholl J, Syed-Abdul S, Ahmed LA. A case study of an EMR system at a large hospital in India: challenges and strategies for successful adoption. J Biomed Inf. 2011;44(6):958â67. Epub 2011 Aug 9. PMID: 21846508.
Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res. 2010;10:231. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1472-6963-10-231. PMID: 20691097; PMCID: PMC2924334.
Arabi YM, Al Ghamdi AA, Al-Moamary M, Al Mutrafy A, AlHazme RH, Al Knawy BA. Electronic medical record implementation in a large healthcare system from a leadership perspective. BMC Med Inf Decis Mak. 2022;22(1):66. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12911-022-01801-0. PMID: 35292008; PMCID: PMC8922058.
Lovero KL, Kemp CG, Wagenaar BH, Giusto A, Greene MC, Powell BJ, et al. Application of the expert recommendations for implementing change (ERIC) compilation of strategies to health intervention implementation in low- and middle-income countries: a systematic review. Implement Sci. 2023;18:56. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13012-023-01310-2. PMID: 37904218; PMCID: PMC10617067.
Neumann C, Dunbar EL, Espino JU, Mtonga TM, Douglas GP. A LMIC-first manifesto to developing electronic medical record systems: letter to the editor. J Health Inf Afr. 2021;7(2):1â3. https://doiorg.publicaciones.saludcastillayleon.es/10.12856/JHIA-2020-v7-i2-300.
Pai MMM, Ganiga R, Pai RM, Sinha RK. Standard electronic health record (EHR) framework for Indian healthcare system. Health Serv Outcomes Res Methodol. 2021;21(3):339â62. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s10742-020-00238-0.
Ruxmaniben Deepchand Gardi Medical College. RDGMC. Accessed 4 Sep 2023. https://rdgmc.edu.in/about-us.
Singh A, Jadhav S, Roopashree MR. Factors to overcoming barriers affecting electronic medical record usage by physicians. Indian J Community Med. 2020;45(2):168â71. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/ijcm.IJCM_478_19. Epub 2020 Jun 2. PMID: 32905074; PMCID: PMC7467200.
Akwaowo CD, Sabi HM, Ekpenyong N, Isiguzo CM, Andem NF, Maduka O, et al. Adoption of electronic medical records in developing countriesâA multi-state study of the Nigerian healthcare system. Front Digit Health. 2022;4:1017231. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fdgth.2022.1017231. PMID: 36479191; PMCID: PMC9720323.
Kalayou MH, Endehabtu BF, Guadie HA, Abebaw Z, Dessie K, Awol SM, et al. Physiciansâ attitude towards electronic medical record systems: an input for future implementers. Biomed Res Int. 2021. https://doiorg.publicaciones.saludcastillayleon.es/10.1155/2021/5523787. PMID: 34493979; PMCID: PMC8418928.
Dubale AT, Mengestie ND, Tilahun B, Walle AD. User satisfaction of using electronic medical record system and its associated factors among healthcare professionals in Ethiopia: a cross-sectional study. Biomed Res Int. 2023;2023:4148211. https://doiorg.publicaciones.saludcastillayleon.es/10.1155/2023/4148211. PMID: 37101688; PMCID: PMC10125755.
Jawhari B, Ludwick D, Keenan L, Zakus D, Hayward R. Benefits and challenges of EMR implementations in low-resource settings: A state-of-the-art review. BMC Med Inf Decis Mak. 2016;16:116. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12911-016-0354-8. PMID: 27600269; PMCID: PMC5011989.
McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22(3):276â82. PMID: 23092060; PMCID: PMC3900052.
Mui E, Meng L, Nguyen V, Espinosa G, Holubar M, Deresinski S. Use of the epic antimicrobial stewardship module optimizes efficiency and increases case finding for stewardship interventions. Open Forum Infect Dis. 2016;3(Suppl_1):994. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/ofid/ofw172.697.
Nanji KC, Seger DL, Slight SP, Amato MG, Beeler PE, Her QL, et al. Medication-related clinical decision support alert overrides in inpatients. J Am Med Inf Assoc. 2018;25(5):476â81. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/jamia/ocx115. PMID: 29092059; PMCID: PMC7646870.
Yoo J, Lee J, Rhee PL, Chang DK, Kang M, Choi JS, et al. Alert override patterns with a medication clinical decision support system in an academic emergency department: retrospective descriptive study. JMIR Med Inf. 2020;8(11):e23351. https://doiorg.publicaciones.saludcastillayleon.es/10.2196/23351. PMID: 33146626; PMCID: PMC7673981.
Kruse CS, Mileski M, Alaytsev V, et al. Adoption factors associated with electronic health record among long-term care facilities: a systematic review. BMJ Open. 2015;5:e006615. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmjopen-2014-006615. PMID: 25631311; PMCID: PMC4316426.
Inampudi S, Rajkumar E, Gopi A, et al. Barriers to implementation of digital transformation in the Indian health sector: a systematic review. Humanit Soc Sci Commun. 2024;11:632. https://doiorg.publicaciones.saludcastillayleon.es/10.1057/s41599-024-03081-7.
Ajami S, Bagheri-Tadi T. Barriers for adopting electronic health records (EHRs) by physicians. Acta Inf Med. 2013;21(2):129â34. https://doiorg.publicaciones.saludcastillayleon.es/10.5455/aim.2013.21.129-134. PMID: 24058254; PMCID: PMC3766548.
Meade B, Buckley D, Boland M. What factors affect the use of electronic patient records by Irish GPs? Int J Med Inform. 2009;78(8):551â8. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijmedinf.2009.03.004. Epub 2009 Apr 16. PMID: 19375381.
Simon SR, Kaushal R, Cleary PD, Jenter CA, Volk LA, Poon EG, et al. Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inf Assoc. 2007;14(1):110â7. https://doiorg.publicaciones.saludcastillayleon.es/10.1197/jamia.M2187. Epub 2006 Oct 26. PMID: 17068351; PMCID: PMC2215070.
Cresswell KM, Bates DW, Sheikh A. Ten key considerations for the successful implementation and adoption of large-scale health information technology. J Am Med Inf Assoc. 2013;20(e1):e9â13. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/amiajnl-2013-001684. Epub 2013 Apr 18. PMID: 23599226; PMCID: PMC3715363.
Upadhyay S, Hu HF. A qualitative analysis of the impact of electronic health records (EHR) on healthcare quality and safety: cliniciansâ lived experiences. Health Serv Insights. 2022;15:11786329211070722. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/11786329211070722. PMID: 35273449; PMCID: PMC8902175.
AlOtaibi YH, AlSaedi MM. Physiciansâ perceptions and attitudes toward use of electronic medical record systems in Riyadh. World Family Med. 2022;20(1):109â20. https://doiorg.publicaciones.saludcastillayleon.es/10.5742/MEWFM.2022.95218.
Reardon JL, Davidson E. An organizational learning perspective on the assimilation of electronic medical records among small physician practices. Eur J Inf Syst. 2007;16(6):681â94. https://doiorg.publicaciones.saludcastillayleon.es/10.1057/palgrave.ejis.3000714.
Gopidasan B, Amanullah S, Adebowale A. Electronic medical recordsâ A review of cost-effectiveness, efficiency, quality of care, and usability. J Psychiatry Spectr. 2022;1(2):76â9. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/JOPSYS.JOPSYS_17_22.
Enahoro QE, Ogugua JO, Anyanwu EC, Akomolafe O, Odilibe IP, Daraojimba AI. The impact of electronic health records on healthcare delivery and patient outcomes: A review. World J Adv Res Rev. 2024;21(2):451â60. https://doiorg.publicaciones.saludcastillayleon.es/10.30574/wjarr.2024.21.2.0478.
Moradigaravand D, Senok A, Al-Dabal L, Khansaheb HH, Habous M, Alsuwaidi H, et al. Unveiling the dynamics of antimicrobial utilization and resistance in a large hospital network over five years: insights from health record data analysis. PLOS Digit Health. 2023;2(12):e0000424. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pdig.0000424. PMID: 38157341; PMCID: PMC10756551.
Sharma M, Joshi R, Shah H, MacAden R, Lundborg CS. A step-wise approach towards introduction of an alcohol-based hand Rub, and implementation of front-line ownership: using a rural tertiary care hospital in central India as a model. BMC Health Serv Res. 2015;15(1):1. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-015-0840-1. PMID: 25924956; PMCID: PMC4424507.
Kim J, Jang J, Kim B, Lee KH. Effect of the PRECEDE-PROCEED model on health programs: a systematic review and meta-analysis. Syst Rev. 2022;11(1):213. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13643-022-02092-2. PMID: 36210473; PMCID: PMC9549687.
Barbazza E, Allin S, Byrnes M, Foebel AD, Khan T, Sidhom P, Klazinga NS, Kringos DS. The current and potential uses of electronic medical record (EMR) data for primary health care performance measurement in the Canadian context: a qualitative analysis. BMC Health Serv Res. 2021;21(1):820. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-021-06851-0. PMID: 34392832; PMCID: PMC8364440.
Lahariya C. Health & wellness centers to strengthen primary health care in India: concept, progress and ways forward. Indian J Pediatr. 2020;87(11):916â29. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s12098-020-03359-z. Epub 2020 Jul 8. PMID: 32638338; PMCID: PMC7340764.
National Health Systems Resources Center of India. Human Resources and Infrastructure for Health Sector in India: Report of Sub-Group-IV of Expert Committee on Enhancing Resource Investment in Health (ECERIH). New Delhi: NHSRC. Accessed 12 Nov 2024. https://nhsrcindia.org/.
Chauhan AS, Guinness L, Bahuguna P, Singh MP, Aggarwal V, Rajsekhar K, et al. Cost of hospital services in India: a multi-site study to inform provider payment rates and health technology assessment. BMC Health Serv Res. 2022;22(1):1343. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-022-08707-7.
Gnambs T, Kaspar K. Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis. Behav Res Methods. 2015;47(4):1237â59. https://doiorg.publicaciones.saludcastillayleon.es/10.3758/s13428-014-0533-4. PMID: 25410404.
Acknowledgements
We sincerely thank the doctors who participated in the survey and contributed to this research. We also extend our appreciation to the management and staff of the hospital for their support and assistance.
Funding
Open access funding provided by Karolinska Institute.
The project was funded by the Research Council of Norway with Project number 325985 dated 01.11.2021 and the Swedish Research Council (VetenskapsrĂ„det, Sweden; 2022â2025).
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MS conceptualized the research, developed and tested the instrument, planned the study, and collected the data. HS analysed the data with assistance from MS. MS and CSL acquired the funding. All authors contributed to interpret the results. HS prepared figures and tables and drafted the manuscript. All authors read, revised, and approved the final manuscript.
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The study was approved by the Ethics Committee of R.D. Gardi Medical College, Ujjain, with IEC Ref. No. 17/2022 and followed the norms of the National Ethical Guidelines for Biomedical and Health Research Involving Human Participants by the Indian Council of Medical Research (ICMR, 2017) through the institutional ethics committee. Informed consent was obtained from all participants, outlining the purpose, data handling procedures, right to withdraw from the study at any point, and confidentiality safeguards during and after the surveys. The data were obtained using a pre-tested, self-administered questionnaire and anonymised before analyses. The data is deposited in a password-secured computer with access limited to the researchers.
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The authors declare no competing interests.
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Saleh, H., Lundborg, C.S. & Sharma, M. Perceived benefits and barriers of medical doctors regarding electronic medical record systems in an Indian private-sector healthcare facility. BMC Health Serv Res 25, 719 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-025-12877-5
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DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-025-12877-5