Electronic Medical Records: A Path Forward

Despite the high expectations of electronic medical records as a great prospect for improving performance in healthcare, the level of adoption and utilization, particularly in a developing country, is low. Knowing the willingness to use the electronic medical record system in the private hospital has an impact on the future implementation status and utilization of the electronic medical record in Ethiopia. However, there was no evidence of the status of the willingness to use electronic medical record systems in private hospitals in the Amhara region. This study aimed to assess the willingness to use electronic medical record Systems and its associated factors among health professionals working in Amhara Region Private Hospitals. A cross-sectional institutional study was performed among 406 health professionals selected using proportional allocation with a simple random sampling technique in Amhara region private hospitals by using self-administered structured questionnaires. The data were analyzed using SPSS version 20 software. Descriptive statistics and binary logistic regression were performed to estimate the crude and adjusted odds ratios with a 95% Confidence interval. Out of the 406 participants included in the analysis, 307 (75.6%) showed a willingness to use the electronic medical record system. About three hundred twelve (76.8%) health professionals had good knowledge of electronic medical record systems, and 257 (63.3%) had good computer skills in electronic medical record systems. Health professionals who had electronic medical record knowledge (AOR = 1.85, 95% CI (1.004-3.409)), EMR training (3.29, 95% CI (1.353-8.003)), technical support personnel (1.92, 95% CI (1.122-3.305)), supportive supervision (AOR = 1.97, 95% CI (1.072-3.628)), and computer skill on electronic medical record (1.77, 95% CI (1.002-3.148)) were significantly associated with the outcome variable. This finding shows a good proportion of willingness to use the electronic medical record system. The most significant factors associated with willingness to use the electronic medical record system were a lack of computer skills, computer training, and knowledge of the electronic medical record system.

Background Globally, electronic information and communication technology has been applied and much expanded in the healthcare industry. However, in developing counties including Ethiopia, EMR system adoption and utilization for medical practice are still inconsistent, and healthcare institutions which started utilization currently have also failed to sustain. A desirable readiness of healthcare experts is mandatory to expand digital health service delivery. Thus, this study is aimed at estimating the proportion of the willingness of professionals in Bahir Dar city to use EMR and at identifying factors associated with this proportion. Methods An institution-based cross-sectional study was conducted from September 1 to October 30, 2019, among 634 health professionals. Respondents were selected using a simple random sampling method. Data were entered into EpiData version 3.1 and exported to SPSS version 23 for further analysis. Descriptive statistics were computed to describe study variables and presented using tables. Willingness to use the EMR system was computed. Bivariable and multivariable binary logistic regression models were fitted to identify the associated factors. The odds ratio with 95% confidence interval was used to measure the strength of association. Results A total of 616 health professionals participated in the study with a response rate of 97%. The proportion of willingness to use the EMR system was 85.9%. Among health professionals who were not willing to use EMR, lack of access to EMR training (73.4%) was a major barrier to the willingness to use EMR. A multivariable logistic regression analysis showed that those health professionals who had good computer skill (AOR = 2.5; 95% CI: 1.3-4.6), good knowledge on EMR (AOR = 2.1; 95% CI: 1-4.4), gotten EMR training (AOR = 3.8; 95% CI: 1.7-8.1), EMR guideline access (AOR = 2.8; 95% CI: 1.4-5.6), and management support (AOR = 2.6; 95% CI: 1.4-4.8) were more likely willing to use the EMR system. Conclusions Majority of the professionals were willing to use the EMR system. EMR program should involve computer illiterate, less knowledgeable, those unable to access EMR guidelines, and managerially unsupported professionals. Enhancing health professionals' attitude and contextualizing EMR training in the healthcare curricula are highly recommended to scale up EMR use.

Background: The availability of electronic medical records (EMRs) in the health-care system has greatly helped to improve the quality of care provided to the patients. Installing an EMR system requires consideration of various factors such as the institutional structure, human resources, clinical workflow in the hospital, monetary issues, and coordination between the departments. Objectives: In this article, we have outlined the steps undertaken to integrate the EMR system into regular clinical practice in the department of radiation oncology. Materials and Methods: The EMR system was implemented in the department of radiation oncology of the Kidwai Memorial Institute of Oncology, a government health-care facility. The process of integration began in June 2019 and was completed in September 2019. We chose the MOSAIQ EMR software by Elekta systems for our center. The process involved creating a core team, establishing the workflow, customizing the software according to our hospital's clinical practices, installing computers, data storage and backup, entering the old patients' data and reports into the system, and training the staff. Results: The EMR system was made available for daily clinical practice from September 25, 2019. Since then, we observed a drastic reduction in the waiting time for the patient files to be made available at the outpatient department, as information could be accessed through EMR instantaneously. Furthermore, the patients' clinical data were available without any delay in the treatment planning system rooms, when planning radiation therapy (RT). Finally, in the radiation treatment rooms, EMRs allowed the RT technologists to obtain information regarding the number of fractions planned for a patient without any confusion as opposed to the earlier handwritten RT charts. Conclusion: The immediate advantage of the EMR system is the instantaneous availability of patient data in the hospital. However, the successful implementation and optimal use of this system require commitment from the health-care staff.

An electronic medical record(EMR)system is built at urban community health centers to optimize services,achieving information integration of outpatient medical services based on the doctors' workstation.This system has optimized service at the outpatient clinics in the following:1.Digitizing service processes for higher efficiency and service quality; 2.Using EMR templates to save doctors' time in writing medical records for more of their time in patient inquiries and checks; 3.Using LIS,PACs and ECG/EKC systems to check lab results and imaging diagnostics of patients; 4.Using the diagnostic and therapy record sub-system to check electronic records of the patients for consulting their health history;5.Using the Shanghai Medical Alliance's(SMA)shared sub-system to acquire patients' medical records at SMA medical institutions,learning their conditions for their therapies.EMR,when it is built and put into use,can help improve GP's diagnostics and therapeutics,and provide better care to the outpatients as well. Key words: Community health center; Electronic medical record; Services; Optimization

The combination of the implementation of the Healthcare Information Portability and Accountability Act (HIPAA) and the widespread publicity surrounding the report by the Institute of Medicine on preventable medical errors has increased interest of AOFAS members in the use of office-based electronic medical record (EMR) systems. Despite the large number of vendors for office-based EMR systems, little has been written to guide orthopaedists in the selection and installation of EMR systems. A web-based AOFAS member survey was undertaken in the Spring of 2003, for the purpose of discovering EMR-related issues that are of most concern. Several questions were open-ended, so as to obtain the broadest set of answers. All responses were manually reviewed, collated, analyzed. The 130 respondents were evenly distributed in age. Sixty-six percent were in private practice. Eighty-nine percent used a computerized billing system. Thirty-two percent used an EMR system. Use of an EMR system was more likely for those in academic practices (p = .01029, chi square) but was not statistically influenced by age, size of the practice group, or the number of offices or hospitals used in the practice. The opinions expressed were exceptionally varied. The most common potential benefit of an EMR system cited was the ease of chart handling and accessibility. The most common perceived barriers to successful EMR implementation were cost (50%) and training of staff and physicians (30%). The survey highlighted the widely divergent opinions regarding the potential benefits (cost savings and improved quality of medical record) and barriers to implantations (e.g. issues dealing with mixed electronic and paper charts and managing the transition to an EMR system). The wide variety of opinions is partly a consequence of the lack of easily accessible information about office-based EMR systems and how to choose among the many vendors. A brief overview of the essential elements to be considered before acquiring an EMR system is included.

BackgroundThe advancement of information and communication technology (ICT) has significantly accelerated the adoption and utilisation of Electronic Medical Record (EMR) systems in both developed and developing countries. This study aimed to examine a comprehensive understanding of the current EMR systems landscape in Uganda, examining the integration of ICT into healthcare delivery and the associated factors.MethodsA cross-sectional study design was utilised to conduct this study across 265 government-owned health facilities. Quantitative data were collected through semi-structured questionnaires, while qualitative insights were obtained via face-to-face interviews. Associations between categorical variables were assessed using linear-by-linear association and Cochrane-Armitage chi-square tests. Analysis of Variance was used for comparison of group mean differences while Tukey’s HSD and Scheffe’s test were used for post-hoc comparisons. Poisson regression analysis was applied to determine the factors influencing the availability and utilisation of EMR systems in health facilities.ResultsOn average, each health facility utilised 4.81 EMR systems (SD = 1.41). Statistically significant differences in the average number of EMR systems were observed across different levels of care (P-value = 0.0108). However, interoperability between EMR systems was reported in only 10% (26/265) of facilities. Regional referral hospitals were 36% more likely to have a higher number of EMR systems compared to health centre IVs (P-value = 0.0001), while general hospitals were 12% more likely (P-value = 0.041). Facilities employing a hybrid medical records system were 1.2 times more likely to utilise EMR systems compared to those using exclusively electronic systems (P-value = 0.027). Additionally, facilities with a higher number of medical departments demonstrated a significantly positive association with EMR system usage (P-value = 0.020).ConclusionsThe study identified a diverse array of EMR systems across public health facilities, many of which exhibit technical disparities and are designed to serve narrowly defined institutional interests. Critically, the absence of a unified national framework or standard guidelines governing EMR adoption and interoperability continues to hinder the seamless exchange of clinical and patient data. To advance digital health integration, it is imperative to expedite the implementation of national interoperability frameworks alongside the operationalisation of a centralised health data warehouse.Supplementary informationThe online version contains supplementary material available at 10.1186/s12911-025-03190-6.

The focus on healthcare information technology (IT) has led to remarkable growth in healthcare IT staffing.The federal government is moving ahead with its plan to advance the use of electronic health records (EHRs) in the U.S. healthcare system. The Centers for Medicare & Medicaid Services (CMS) recently collected public comments related to its proposed rule for Stage 2 of the “meaningful use” program. Under the three-stage program, hospitals and other healthcare facilities that demonstrate a meaningful use of EHRs are eligible for Medicare and Medicaid incentive payments.1 Stage 2 builds on Stage 1, laying out the requirements for healthcare providers.The push for EHRs got a huge boost with the American Recovery and Reinvestment Act of 2009, which committed billions of dollars to support the adoption and use of EHRs, building on an earlier goal that every American should have an electronic medical record by 2014. Fundamentally, EHRs are digital documentation that includes data from a visit to the doctor's office or office, including the patient's histories, exam notes, tests ordered and their results, drugs prescribed, and any other results or updated information. Some systems also check for drug interactions, can access X-rays, and even deliver a reminder for the patient to get a flu shot.2In certain quarters, hopes are high about the benefits of EHRs. Some talk of millions of dollars and thousands of hospitalizations saved—seemingly based on extrapolated data. Generally, there is the anticipation, especially by the government, that the use of EHRs will improve the quality, safety, and efficiency of healthcare delivery, as well as reduce medical errors, healthcare costs, and paperwork.On the other side of the coin, there are several who warn that it's premature to start talking about the benefits of EHRs, saying the transition will not be easy or fast. Take, for example, the benefits expected from data sharing. Peter Gabriel, director of informatics with the Department of Radiation Oncology at the University of Pennsylvania's School of Medicine, said that it could be 10 or 15 years before data sharing in health IT is widespread, because it's “a lot harder to achieve than most people appreciate. Simply implementing computer systems won't dramatically improve quality overnight.”3Obviously, health IT growth must also be tempered with risk assessment every step of the way. The development of 80001-1, the standard that deals with the application of risk management for IT networks that incorporate medical devices, indicates that risk analysis is getting woven into many health IT growth game plans. This kind of due diligence will likely stretch original timelines as they relate to the use of EHRs.CMS seems to be sensing that it will take a lot longer than initially anticipated as well. Its recent announcement, a notice of proposed rulemaking (NPRM), attempts to strike a balance between sustaining forward momentum toward meaningful use goals and ensuring that providers with greater obstacles to EHR adoption have the time, support, and incentive to catch up.4A survey published late last year by the Centers for Disease Control indicated that there is a wide variation among states in EHR adoption rates, ranging from a low of 40 percent to as much as 84 percent. As those numbers grow, so will healthcare IT staffing needs. According to the Bureau of Labor Statistics, the projected job growth rate for information security analysts, web developers, and computer network architects is 22% between 2010 and 2020. That's well above the average growth rate of 14% for all occupations during that same period. In its projection, found in the latest edition of the Occupational Outlook Handbook, the bureau makes note of the changes in healthcare and of their impact on this significant job growth.5“As the healthcare industry expands its use of electronic medical records, ensuring patients' privacy and protecting personal data are becoming more important,” the handbook reads. “More information security analysts are likely to be needed to create the safeguards that will satisfy patients' concerns. Demand for computer network architects will increase as firms continue to expand their use of wireless and mobile networks. This occupation will be needed to design and build these new networks, as well as upgrade existing ones. In addition, the expansion of healthcare information technology will cause an increase in the use of networking technology in that industry, and more computer network architects will be employed there.”The bureau makes a similar point in its projection of a 28% growth rate for jobs for network and computer systems administrators, again emphasizing the role of healthcare in fueling the demand.“Growth is expected in healthcare industries as their use of information technology increases,” says the handbook. “More administrators will be required to manage the growing systems and networks found at hospitals and other healthcare institutions.”To help meet the expected demand for health IT workers, the Obama administration launched training programs for such workers. Funded under the auspices of the Office of the National Coordinator for Health Information Technology (ONC), this training is offered through 82 community colleges and nine universities across the country. As of January 2012, the administration says that community colleges have trained more than 9,000 students for health IT jobs, with nearly as many currently enrolled. For the participating universities, more than 1,200 have enrolled and almost 600 have already graduated as post-graduate and masters-level IT professionals. And there is an expected increase to about three times as many by the summer of 2013.There are other support mechanisms in place as well, such as the Health IT Workforce Curriculum from the ONC, which provides teaching materials at no cost to instructors. Yet another is the HIT Pro Exam, also from the ONC, with more than 2,000 examinees since its launch in May 2011. The exam shows perspective employers that the job candidate has the knowledge and skills required to work in health IT. If you've ever seriously considered moving to healthcare IT, there may not be a better opportunity.For some, the only incentive in participating in the meaningful use program may well be the immediate financial reward rather than the long-term gains. There are experts who say that the EHR program, as it currently stands, means more work and less efficiency. For example, the EHR collects data on a patient's smoking status which requires the provider to fill out another form to track smoking status for the meaningful use program. As Farzad Mostashari, MD, the national health IT coordinator said, “No wonder providers are saying that meaningful use is adding work and not making sense to them. We have a lot of learning to make meaningful use of meaningful use.”5To date, more the $3 billion has been paid out to some 2,000 hospitals and 41,000 physicians. In January 2012 alone, $519 million was paid to eligible providers with up to $44,000 each under the Medicare EHR Incentive Program and $64,000 each under the Medicaid program.3The transition to EHRs is expected to extend well into the next decade. The incentives for building a meaningful EHR system eventually turn into penalties for not complying under the federal program. Since Medicare and Medicaid reimbursements can mean more than 50% of a hospital's revenue, eligible providers have a significant financial interest in demonstrating meaningful use of EHRs.For healthcare technology management professionals, the time is ripe to learn new skills and take advantage of new job opportunities. We're already seeing health IT adopt more mainstream computing and networking initiatives and technologies such as virtualization and software defined networks. These kinds of technologies also generate risk analysis— another form of health IT growth requiring staffing. Once in place, newer technologies will relieve IT techs and engineers from some of the mundane network administrative duties. Automated network and software management protocols will also help keep track with and compliance to an ongoing and dynamic risk analysis.All of this adds up to a safer system, while improving the quality and efficiency of healthcare delivery. Healthcare IT organizations are going to need the staffing to keep pace with providing the newer technology to healthcare's advantage.

Clinical Decision Support Tools

The benefits of a fully integrated electronic medical record (EMR) system across primary and specialist care institutions have yet to be formally established. Integrating the EMR systems between primary and specialist care is the first step in building a medical neighborhood. A medical neighborhood is a set of policies and procedures implemented through integrated systems and processes that support the joint management of patient care across primary care physicians, specialist physicians, and other health care providers. This study aims to quantify the impacts of integrating the EMR systems of primary and specialist care institutions in the process of developing a medical neighborhood. The impacts are operationalized in both quantitative and qualitative measures, measuring the benefits of such an integration in 3 specific areas, namely, patient diagnosis tracking, patient care management, and patient coordination. A comprehensive, mixed methods examination was conducted using 3 different data sources (EMR consultation data, clinician survey data, and in-depth interviews). The EMR data consist of patient encounters referred to a specialist clinic from 6 primary care providers before and after integrating the EMR system into the primary and specialist care institutions. We analyzed 25,404 specialist consultation referrals to the specialist clinics by the primary care partners for a 12-month period, during which the integration of the EMR system was conducted. A cohort empirical investigation was used to identify the quantitative impacts of the EMR integration, and a follow-up survey was conducted with the clinicians 18 months post integration. The clinicians' perceptions of the integration were measured to triangulate the empirical observation from the patient encounters, and the postimplementation perception survey was analyzed to triangulate the empirical investigation of consultation instances of the earlier cohort. Concurrently, a total of 30 interviews were conducted between March 16, 2021, and July 28, 2021, with clinicians and operations staff to gather on-the-ground sentiments engendered by this integration, which further informed our quantitative findings. The integration of EMR systems between primary and specialist care institutions was associated with benefits in patient diagnosis tracking, patient care management, and patient coordination. Specifically, it was found that the integration resulted in a decrease in wait time for specialist appointments of an average of 16.5 days (P<.001). Patients were also subjected to fewer repeated procedures and tests; the number of procedures (P=.006), radiographies (P=.02), and overall bill sizes (P=.004) all decreased by between 4.08% and 39.7%, resulting in reduced health care resource wastage while maintaining similar medical outcomes (P=.37). Our study's results are among the first instances of empirical evidence to show that the integration and sharing of data between primary and specialist care institutions promote continuity in health care delivery and joint patient management in a medical neighborhood. The findings go beyond the traditional benefits of improved referral communication, as shown in prior literature.

Fewer than one in four Canadian doctors use electronic medical record (EMR) systems, although almost all have some form of computer for scheduling and billing purposes. As a result, patient clinical records are mostly on paper, and are scattered and often inaccessible in doctors' offices, clinics, test centres, labs, and hospitals. To properly care for their patients, primary care practitioners must have access to all their relevant medical records. If these are in digital form, they can be stored and readily accessed on EMR systems. If they are not, there are often significant delays, duplication of effort, and even inaccuracy in diagnosing problems. Insufficient adoption of EMR systems is a highly complex problem that has not been addressed adequately in a comprehensive manner. There are many interdependent factors that influence adoption and these must be considered simultaneously. The objective of this proposed research is to develop and validate statistically a comprehensive theoretical model of EMR adoption through a national survey of users, to attempt to explain why medical practices in Canada have tended to be slow in adopting electronic medical records and related systems. This paper describes that model and its basis, including the methodology that will be used to analyze the data.

Introduction The challenge with burn documentation needs in electronic medical record systems is recognized and often limited in the foundation of commercial electronic systems. In October 2016, our institution transitioned to a new all-inclusive electronic medical record. The transition to this new Electronic Medical Record (EMR) afforded us the opportunity to develop and build burn specific documentation needs in the new EMR system. In this paper, we share our experiences and the keys to our successful builds to streamline burn patients’ documentation and information. Methods In January 2013, the EMR build team was composed of corporate contractors, dedicated clinical staff from all areas of the hospital that transitioned to the build team, and private contractors experienced in the EMR build process. To our great fortune, our burn team was provided access to four dedicated build team members that worked specifically on meeting our burn team documentation needs. With high level collaboration our team was able to assess foundation abilities of the new system, identify gaps to burn care and collaboratively create and build automated documents to meet our burn needs. In October 2016, the EMR system was implemented with our burn specific documents, flowsheets, and reports. Results Through working with our dedicated build team, we were able to create an electronic Lund-Browder Chart with an avatar that is completed with each admission by our medical team. We developed a fluid resuscitation flowsheet that is documented in real-time; displays fluid resuscitation goals; displays urine output goals. The creation of a standardized wound care note template was necessary as the wound template within the existing EMR system was too cumbersome. Burn wound photo-documentation to include inpatient, outpatient, intra-operative and emergency department needs automatically uploads into the patient’s medical record from an encrypted portable handheld device connected to the EMR. Burn specific reports were developed to meet the specific needs of inquiry whether it is for performance improvement or research. Additionally, the same EMR is used in all phases of care to include the burn clinic which allows for ease and continuity of care. Conclusions An EMR that is all-inclusive has benefitted our team and patient safety by streamlining the review and documentation of information. Having specific and dedicated EMR build specialist allocated to focusing on the needs of the burn unit was invaluable in the build, implementation, and maintenance phases. We continue to work with our EMR specialist to improve processes and documentation practices that impact patient outcomes. Our burn EMR specialist meets with the burn team on a monthly basis to evaluate and assess ongoing needs to further outcomes. Applicability of Research to Practice Within this presentation, we will share our journey, challenges, and successes.

With the extensive deployment of electronic medical record (EMR) systems, EMR usability remains a significant source of frustration to clinicians. There is a significant research need for software that emulates EMR systems and enables investigators to conduct laboratory-based human–computer interaction studies. We developed an open-source software package that implements the display functions of an EMR system. The user interface emphasizes the temporal display of vital signs, medication administrations, and laboratory test results. It is well suited to support research about clinician information-seeking behaviors and adaptive user interfaces in terms of measures that include task accuracy, time to completion, and cognitive load. The Simple EMR System is freely available to the research community and is on GitHub.

IntroductionThe ability to utilize the electronic health record (EHR) without compromising the doctor-patient relationship (DPR) is an essential skill of all physicians and trainees, yet little time is spent on educating or assessing learners on needed techniques. To address this gap, we developed a conventional OSCE station coupled with a simulated patient chart within the Epic program in order to assess our students' skills utilizing the EHR during a patient encounter.MethodsOf third-year medical students, 119 were given full access to the patient's simulated chart 24 hours in advance of their OSCE to review clinical data. During an in-person OSCE with a standardized patient (SP), students performed a focused history and physical, using the EHR to verify allergies and medications. Students completed an electronic patient note graded by faculty. SPs evaluated the students on communication and interpersonal skills with specific rubric elements. Faculty graded the students' notes to evaluate their expression of clinical reasoning in the assessment and plan.ResultsTraining SPs and faculty to assess students on EHR skills was feasible. After implementation of a comprehensive curriculum focused on EHR and DPR, there was a significant difference on EHR-related communication skills (M = 76.4, SD = 17.6) versus (M = 37, SD = 28.9) before curriculum enhancement t (117.9) = −12.4, p <.001.DiscussionThe EHR OSCE station provided a standardized method of assessing students' EHR skills during a patient encounter. Challenges still exist in the technological requirements to develop and deliver cases in today's EHR platform.

To provide high quality healthcare service, all relevant information of a patient is paramount. Most of the patient healthcare information is stored in disparate electronic medical record (EMR) systems of healthcare providers such as general practitioners (GP), specialists, hospitals etc. Integrating the existing heterogeneous EMRs for data sharing is crucial. All existing integration solutions need the numerous EMR software vendors to update their software to follow ever-changing messaging standards, provided interfaces or other criterions. The cost and efforts of the enormous amount of time required to negotiate with the large number of project participants for upgrading existing systems is extremely high. Almost exclusively, software today provides a graphical user interface (GUI) as the only method for users to access the functionality of the software. In this chapter, we propose a model for automating the procedure of operating the GUI based EMR and exchange information with them without the need of updating the existing EMR systems. The model is called parameterized GUI state model (PGUISM) which depicts the intrinsic logic of GUIs and enables the automated process of writing and reading information to and from EMR systems.

The completeness and accuracy of the front pages of electronic medical records (EMRs) are crucial for evaluating hospital performance and for health insurance payments to inpatients. However, the quality of the first page of EMRs in China's medical system is not satisfactory, which can be partly attributed to deficiencies in the EMR system. Failure mode and effects analysis (FMEA) is a proactive risk management tool that can be used to investigate the potential failure modes in an EMR system and analyze the possible consequences. The purpose of this study was to preemptively identify the potential failures of the EMR system in China and their causes and effects in order to prevent such failures from recurring. Further, we aimed to implement corresponding improvements to minimize system failure modes. From January 1, 2020, to May 31, 2022, 10 experts, including clinicians, engineers, administrators, and medical record coders, in Zhejiang People's Hospital conducted FMEA to improve the quality of the front page of the EMR. The completeness and accuracy of the front page and the risk priority numbers were compared before and after the implementation of specific improvement measures. We identified 2 main processes and 6 subprocesses for improving the EMR system. We found that there were 13 potential failure modes, including data messaging errors, data completion errors, incomplete quality control, and coding errors. A questionnaire survey administered to random physicians and coders showed 7 major causes for these failure modes. Therefore, we established quality control rules for medical records and embedded them in the system. We also integrated the medical insurance system and the front page of the EMR on the same interface and established a set of intelligent front pages in the EMR management system. Further, we revamped the quality management systems such as communicating with physicians regularly and conducting special training seminars. The overall accuracy and integrity rate of the front page (P<.001) of the EMR increased significantly after implementation of the improvement measures, while the risk priority number decreased. In this study, we were able to identify the potential failure modes in the front page of the EMR system by using the FMEA method and implement corresponding improvement measures in order to minimize recurring errors in the health care services in China.