Association between Electronic Medical Records and Healthcare Quality

The electronic health record: does it enhance or distract from patient safety?

PURPOSE OF REVIEW

The electronic health record (EHR) is an invaluable tool that may be used to improve patient safety. With a variety of different features, such as clinical decision support and computerized physician order entry, it has enabled improvement of patient care throughout medicine. EHR allows for built-in reminders for such items as antibiotic dosing and venous thromboembolism prophylaxis.

RECENT FINDINGS

In anesthesiology, EHR often improves patient safety by eliminating the need for reliance on manual documentation, by facilitating information transfer and incorporating predictive models for such items as postoperative nausea and vomiting. The use of EHR has been shown to improve patient safety in specific metrics such as using checklists or information transfer amongst clinicians; however, limited data supports that it reduces morbidity and mortality.

SUMMARY

There are numerous potential pitfalls associated with EHR use to improve patient safety, as well as great potential for future improvement.

Electronic medical record clinical workload metrics from 10,210 gastroenterologists in North America

In the United States, clinical work had been primarily compensated via a relative value unit (RVU) system reliant on professional surveys estimating the value of clinical care events. However, with the advent of time-based billing in 2021, time accounting has become an important work compensation metric. The Signal functionality within Epic, the most widely used electronic medical record (EMR) system in North America, tracks clinician time within the system. We extracted Epic Signal data from 10,200 gastroenterologists at 356 North American institutions for analysis. Workload metrics were reported as group median (interquartile range) per month and comparisons were performed using nonparametric testing. Gastroenterologists exhibit different EMR time patterns based on clientele and practice arenas. Compared with counterparts, pediatric and academic gastroenterologists spend more time at each encounter which had not been compensated under prior RVU valuations. Clinical compensation benchmarks should be driven by time-based workload metrics to ensure appropriate compensation.

Effect of electronic records on mortality among patients in hospital and primary healthcare settings: a systematic review and meta-analyses

Background

Electronic medical records or electronic health records, collectively called electronic records, have significantly transformed the healthcare system and service provision in our world. Despite a number of primary studies on the subject, reports are inconsistent and contradictory about the effects of electronic records on mortality. Therefore, this review examined the effect of electronic records on mortality.

Methods

The review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses 2020 guideline. Six databases: PubMed, EMBASE, Scopus, CINAHL, Cochrane Library, and Google Scholar, were searched from February 20 to October 25, 2023. Studies that assessed the effect of electronic records on mortality and were published between 1998 and 2022 were included. Joanna Briggs Institute quality appraisal tool was used to assess the methodological quality of the studies. Narrative synthesis was performed to identify patterns across studies. Meta-analysis was conducted using fixed effect and random-effects models to estimate the pooled effect of electronic records on mortality. Funnel plot and Egger's regression test were used to assess for publication bias.

Results

Fifty-four papers were found eligible for the systematic review, of which 42 were included in the meta-analyses. Of the 32 studies that assessed the effect of electronic health record on mortality, eight (25.00%) reported a statistically significant reduction in mortality, 22 (68.75%) did not show a statistically significant difference, and two (6.25%) studies reported an increased risk of mortality. Similarly, among the 22 studies that determined the effect of electronic medical record on mortality, 12 (54.55%) reported a statistically significant reduction in mortality, and ten (45.45%) studies didn't show a statistically significant difference. The fixed effect and random effects on mortality were OR = 0.95 (95% CI: 0.93-0.97) and OR = 0.94 (95% CI: 0.89-0.99), respectively. The associated I-squared was 61.5%. Statistical tests indicated that there was no significant publication bias among the studies included in the meta-analysis.

Conclusion

Despite some heterogeneity among the studies, the review indicated that the implementation of electronic records in inpatient, specialized and intensive care units, and primary healthcare facilities seems to result in a statistically significant reduction in mortality. Maturity level and specific features may have played important roles.

Systematic Review Registration

PROSPERO (CRD42023437257).

Improving quality of care by standardising patient data collection in electronic medical records in an oncology department in Spain

BACKGROUND

Evaluation of quality of care in oncology is key in ensuring patients receive adequate treatment. American Society of Clinical Oncology's (ASCO) Quality Oncology Practice Initiative (QOPI) Certification Program (QCP) is an international initiative that evaluates quality of care in outpatient oncology practices.

METHODS

We retrospectively reviewed free-text electronic medical records from patients with breast cancer (BR), colorectal cancer (CRC) or non-small cell lung cancer (NSCLC). In a baseline measurement, high scores were obtained for the nine disease-specific measures of QCP Track (2021 version had 26 measures); thus, they were not further analysed. We evaluated two sets of measures: the remaining 17 QCP Track measures, as well as these plus other 17 measures selected by us (combined measures). Review of data from 58 patients (26 BR; 18 CRC; 14 NSCLC) seen in June 2021 revealed low overall quality scores (OQS)-below ASCO's 75% threshold-for QCP Track measures (46%) and combined measures (58%). We developed a plan to improve OQS and monitored the impact of the intervention by abstracting data at subsequent time points.

RESULTS

We evaluated potential causes for the low OQS and developed a plan to improve it over time by educating oncologists at our hospital on the importance of improving collection of measures and highlighting the goal of applying for QOPI certification. We conducted seven plan-do-study-act cycles and evaluated the scores at seven subsequent data abstraction time points from November 2021 to December 2022, reviewing 404 patients (199 BR; 114 CRC; 91 NSCLC). All measures were improved. Four months after the intervention, OQS surpassed the quality threshold and was maintained for 10 months until the end of the study (range, 78-87% for QCP Track measures; 78-86% for combined measures).

CONCLUSIONS

We developed an easy-to-implement intervention that achieved a fast improvement in OQS, enabling our Medical Oncology Department to aim for QOPI certification.

Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review

The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent progress and breakthroughs in the application of big data within precision medicine. Key aspects are summarized, including content, data sources, technologies, tools, challenges, and existing gaps. Nine fields-Datawarehouse and data management, electronic medical record, biomedical imaging informatics, Artificial intelligence-aided surgical design and surgery optimization, omics data, health monitoring data, knowledge graph, public health informatics, and security and privacy-are discussed.

Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future

Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling data analysis, development of prognostic tools and disease risk prediction. EMRs also offer a range of advantages in clinical practice, such as comprehensive medical records, streamlined communication with healthcare providers, remote data access, and rapid retrieval of test results, ultimately leading to increased efficiency, enhanced patient safety, and improved quality of care in gerontology, which includes benefits like reduced medication use and better patient history taking and physical examination assessments. The use of artificial intelligence (AI) and machine learning (ML) approaches on EMRs can further improve disease diagnosis, symptom classification, and support clinical decision-making. However, there are also challenges related to data quality, data entry errors, as well as the ethics and safety of using AI in healthcare. This article discusses the future of EMRs in gerontology and the application of AI and ML in clinical research. Ethical and legal issues surrounding data sharing and the need for healthcare professionals to critically evaluate and integrate these technologies are also emphasized. The article concludes by discussing the challenges related to the use of EMRs in research as well as in their primary intended use, the daily clinical practice.

Adoption of Electronic Health Record Among Substance Use Disorder Treatment Programs: Nationwide Cross-Sectional Survey Study

BACKGROUND

Electronic health record (EHR) systems have been shown to be associated with improvements in care processes, quality of care, and patient outcomes. EHR also has a crucial role in the delivery of substance use disorder (SUD) treatment and is considered important for addressing SUD crises, including the opioid epidemic. However, little is known about the adoption of EHR in SUD treatment programs or the organizational-level factors associated with the adoption of EHR in SUD treatment.

OBJECTIVE

We examined the adoption of EHR in SUD programs, with a focus on changes in adoption from 2014 to 2017, and identified organizational-level factors associated with EHR adoption.

METHODS

We used data from the 2014 and 2017 National Drug Abuse Treatment System Surveys. Our analysis included 1027 SUD programs (531 in 2014 and 496 in 2017). We used chi-square and Mann-Whitney U tests for categorical and continuous variables, respectively, to assess changes in EHR adoption, technology use, program, and client characteristics. We also investigated differences in characteristics and barriers to adoption by EHR adoption status (adopted EHR vs had not adopted or were planning to adopt EHR). We then conducted multivariate logistic regressions to examine internal and external factors associated with EHR adoption.

RESULTS

The adoption of EHR increased significantly from 57.6% (306/531) in 2014 to 69.2% (343/496) in 2017 (P<.001), showing that nearly one-third (153/496, 30.8%) of SUD programs had not yet adopted an EHR system by 2017. We identified a significant increase in technology use and ownership by a parent company (P=.01 and P<.001) and a decrease in the percentage of uninsured patients in 2017 (P<.001), compared to 2014. Our analysis further showed significant differences by adoption status for three major barriers to adoption: (1) start-up costs, (2) ongoing financial costs, and (3) privacy or security concerns (P<.001). Programs that used computerized scheduling (adjusted odds ratio [AOR] 3.02, 95% CI 2.23-4.09) and billing systems (AOR 2.29, 95% CI 1.62-3.25) were more likely to adopt EHR. Similarly, ownership type, such as private nonprofit (AOR 1.86, 95% CI 1.31-2.65) and public (AOR 2.14, 95% CI 1.27-3.67), or interest in participating in a patient-centered medical home (AOR 1.93, 95% CI 1.29-2.92), were associated with an increased likelihood to adopt EHR. Overall, SUD programs were more likely to adopt an EHR system in 2017 compared to 2014 (AOR 1.44, 95% CI 1.07-1.94).

CONCLUSIONS

Our findings highlighted that SUD programs may be on track to achieve widespread EHR adoption. However, there is a need for focused strategies, resources, and policies explicitly designed to systematically address barriers and tackle obstacles to expanding the adoption of EHR systems. These efforts must be holistic and address factors at multiple organizational levels.

Effectiveness of Medication Reconciliation in a Chinese Hospital: A Pilot Randomized Controlled Trial

Background

Implementing medication reconciliation (MR) was complex and challenging because of the variability in the guidance provided for conducting. The processes of MR adopted in China were different from that recommended by the World Health Organization. A pilot study to inform the design of a future randomized controlled trial to determine the effectiveness of these two workflows was undertaken.

Methods

Patients taking at least one home/regular medication for hypertension, diabetes, or coronary heart disease were recruited at admission, and then were randomized using a computer-generated random number in a closed envelope. In the study group, the pharmacist reviewed electronic medical record systems before communication with patients. In the control group, pharmacists communicated with patients at patient's admission. The time investment of pharmacists for MR process, the number of unintended medication discrepancies, and physician acceptance were tested as outcome measures.

Results

One hundred and forty adult patients were randomized, of which 66 patients in the intervention received MR within 24 hours, while 58 patients in control received MR at some point during admission. The most common condition in the study group was hypertension (coronary heart disease in the control group). The workflow of the study group can save an average 7 minutes per patient compared with the WHO recommended process [17.5 minutes (IQR 14.00, 28.25) vs 24.5 minutes (IQR17.75, 35.25), p = 0.004]. The number of unintended discrepancies was 42 in the study group and 34 in the control group (p = 0.33). Physicians' acceptance in the study and control groups were 87.5% and 92.3%, respectively (p = 0.87).

Conclusion

The results suggest that changes in outcome measures were in the appropriate direction and that the time limit for implementing MR can be set within 48 hours. A future multi-centre RCT study to determine the effectiveness of MR is feasible and warranted.

Development and evaluation of an anesthesia module for electronic medical records in the operating room: an applied developmental study

Developing an anesthesia module in the operating room is one of the significant steps toward the implementation of electronic medical records (EMR) in health care centers. This study aimed to develop and evaluate the web based-anesthesia module of an electronic medical record Sciences, in the operating room of the Namazi Medical Training Center of Shiraz University of Medical Iran. This developmental and applied study was conducted in steps including determining the functional and non-functional requirements, designing and implementing the anesthesia module, and usability evaluation. 3 anesthesiologists, 3 anesthesiologist assistants, and 12 anesthetist nurses were included in the study as a research community. React.js, Node.js programming language to program this module, Mongo dB database, and Windows server for data management and USE standard questionnaire were used. In the anesthesia module, software quality features were determined as functional requirements and non-functional requirements included 286 data elements in 25 categories (demographic information, surgery information, laboratory results, patient graphs, consults, consent letter, physical examinations, medication history, family disease records, social record, past medical history, type of anesthesia, anesthesia induction method, airway management, monitoring, anesthesia chart, blood and fluids, blood gases, tourniquets and warmers, accessories, positions, neuromuscular reversal, transfer the patient from the operating room, complications of anesthesia and, seal/ signature). Also, after implementing the anesthesia module, results of the usability evaluation showed that 69.1% of the users agreed with the use of this module in the operating room and considered it user-friendly.

Hospital doctors' and general practitioners' perspectives of outpatient discharge processes in Australia: an interpretive approach

BACKGROUND

Unnecessary delays in patient discharge from hospital outpatient clinics have direct consequences for timely access of new patients and the length of outpatient waiting times. The aim of this study was to gain better understanding of hospital doctors' and general practitioners' perspectives of the barriers and facilitators when discharging from hospital outpatients to general practice.

METHODS

An interpretative approach incorporating semi-structured interviews with 15 participants enabled both hospital doctors and general practitioners to give their perspectives on hospital outpatient discharge processes.

RESULTS

Participants mentioned various system problems hampering discharge from hospital outpatient clinics to general practice, such as limitations of electronic communication tools, workforce and workload challenges, the absence of agreed discharge principles, and lack of benchmark data. Hospital clinicians may keep patients under their care out of a concern about lack of follow-up and an inability to escalate timely hospital care following discharge. Some hospital clinicians may have a personal preference to provide ongoing care in the outpatient setting. Other factors mentioned were insufficient supervision of junior doctors, a patient preference to remain under hospital care, and the ease of scheduling follow-up appointments. An effective handover process requires protected time, a systematic approach, and a supportive clinical environment including user-friendly electronic communication and clinical handover tools. Several system improvements and models of care were suggested, such as agreed discharge processes, co-designed between hospitals and general practice. Recording and sharing outpatient discharge data may assist to inform and motivate hospital clinicians and support the training of junior doctors. General practitioners participating in the study were prepared to provide continuation of care but require timely clinical management plans that can be applied in the community setting. A hospital re-entry pathway providing rapid access to outpatient hospital resources after discharge could act as a safety net and may be an alternative to the standard 12-month review in hospital outpatient clinics.

CONCLUSION

Our study supports the barriers to discharge as mentioned in the literature and adds the perspectives of both hospital clinicians and general practitioners. Potential solutions were suggested including co-designed discharge policies, improved electronic communication tools and a rapid hospital review pathway following discharge.

Differences in Health Professionals' Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity

Importance

US health professionals devote a large amount of effort to engaging with patients' electronic health records (EHRs) to deliver care. It is unknown whether patients with different racial and ethnic backgrounds receive equal EHR engagement.

Objective

To investigate whether there are differences in the level of health professionals' EHR engagement for hospitalized patients according to race or ethnicity during inpatient care.

Design, Setting, and Participants

This cross-sectional study analyzed EHR access log data from 2 major medical institutions, Vanderbilt University Medical Center (VUMC) and Northwestern Medicine (NW Medicine), over a 3-year period from January 1, 2018, to December 31, 2020. The study included all adult patients (aged ≥18 years) who were discharged alive after hospitalization for at least 24 hours. The data were analyzed between August 15, 2022, and March 15, 2023.

Exposures

The actions of health professionals in each patient's EHR were based on EHR access log data. Covariates included patients' demographic information, socioeconomic characteristics, and comorbidities.

Main Outcomes and Measures

The primary outcome was the quantity of EHR engagement, as defined by the average number of EHR actions performed by health professionals within a patient's EHR per hour during the patient's hospital stay. Proportional odds logistic regression was applied based on outcome quartiles.

Results

A total of 243 416 adult patients were included from VUMC (mean [SD] age, 51.7 [19.2] years; 54.9% female and 45.1% male; 14.8% Black, 4.9% Hispanic, 77.7% White, and 2.6% other races and ethnicities) and NW Medicine (mean [SD] age, 52.8 [20.6] years; 65.2% female and 34.8% male; 11.7% Black, 12.1% Hispanic, 69.2% White, and 7.0% other races and ethnicities). When combining Black, Hispanic, or other race and ethnicity patients into 1 group, these patients were significantly less likely to receive a higher amount of EHR engagement compared with White patients (adjusted odds ratios, 0.86 [95% CI, 0.83-0.88; P < .001] for VUMC and 0.90 [95% CI, 0.88-0.92; P < .001] for NW Medicine). However, a reduction in this difference was observed from 2018 to 2020.

Conclusions and Relevance

In this cross-sectional study of inpatient EHR engagement, the findings highlight differences in how health professionals distribute their efforts to patients' EHRs, as well as a method to measure these differences. Further investigations are needed to determine whether and how EHR engagement differences are correlated with health care outcomes.

Usage of electronic health record (eHR) viewer among healthcare professionals (HCProfs): A territory-wide study of 3972 participants

BACKGROUND

The Electronic Health Record Sharing System (eHRSS) is an electronic platform for two-way communication between the public and private sectors in Hong Kong. The authorised healthcare professionals (HCProfs) could access and upload patients' health records on the eHR Viewer in the eHRSS. This study aims to evaluate the usage of eHR viewer among the HCProfs from the private sector by 1) examining the correlation of various factors and the data access of eHR viewer; 2) investigating the trend on data access and upload to eHR viewer by time period and domain.

METHODS

A total of 3972 HCProfs from private hospitals, group practice, and solo practice were included in the study. Regression analysis was performed to identify the correlation between various factors and the data access to eHR viewer. Trends on accessing and data uploading to eHR viewer by time period and domains were evaluated. Trends on data uploading to eHR viewer by time period and domains were presented in the line chart as well.

FINDINGS

All types of HCProfs had a higher likelihood of accessing the eHR viewer as compared to those from private hospitals. HCProfs with specialities (apart from anaesthesia) had a higher possibility of accessing the eHR viewer than general practitioners without specialities. HCProfs participating in the Public-Private Partnership (PPP) Programme and the eHealth System (Subsidies) (eHS(S)) were more likely to access the eHR viewer. The overall trend of accessing eHR viewer was rising notably from 2016 to 2022, every domain showed rising trends, especially the laboratory domain with a 5-times increase between 2016 and 2022.

CONCLUSION

HCProfs with speciality were more likely to access the eHR viewer (except anaesthesiology), compared with the general practitioners. Participation in the PPP programmes and eHS(S) also increased the access rate of the eHR viewer. Besides, the use of eHR viewer (accessing and data uploading) would be influenced by social policy and the epidemic. Future research should focus on the impact of government programmes on eHRSS adoption.

Successes and challenges towards improving quality of primary health care services: a scoping review

BACKGROUND

Quality health services build communities' and patients' trust in health care. It enhances the acceptability of services and increases health service coverage. Quality primary health care is imperative for universal health coverage through expanding health institutions and increasing skilled health professionals to deliver services near to people. Evidence on the quality of health system inputs, interactions between health personnel and clients, and outcomes of health care interventions is necessary. This review summarised indicators, successes, and challenges of the quality of primary health care services.

METHODS

We used the preferred reporting items for systematic reviews and meta-analysis extensions for scoping reviews to guide the article selection process. A systematic search of literature from PubMed, Web of Science, Excerpta Medica dataBASE (EMBASE), Scopus, and Google Scholar was conducted on August 23, 2022, but the preliminary search was begun on July 5, 2022. The Donabedian's quality of care framework, consisting of structure, process and outcomes, was used to operationalise and synthesise the findings on the quality of primary health care.

RESULTS

Human resources for health, law and policy, infrastructure and facilities, and resources were the common structure indicators. Diagnosis (health assessment and/or laboratory tests) and management (health information, education, and treatment) procedures were the process indicators. Clinical outcomes (cure, mortality, treatment completion), behaviour change, and satisfaction were the common indicators of outcome. Lower cause-specific mortality and a lower rate of hospitalisation in high-income countries were successes, while high mortality due to tuberculosis and the geographical disparity in quality care were challenges in developing countries. There also exist challenges in developed countries (e.g., poor quality mental health care due to a high admission rate). Shortage of health workers was a challenge both in developed and developing countries.

CONCLUSIONS

Quality of care indicators varied according to the health care problems, which resulted in a disparity in the successes and challenges across countries around the world. Initiatives to improve the quality of primary health care services should ensure the availability of adequate health care providers, equipped health care facilities, appropriate financing mechanisms, enhance compliance with health policy and laws, as well as community and client participation. Additionally, each country should be proactive in monitoring and evaluation of performance indicators in each dimension (structure, process, and outcome) of quality of primary health care services.

Copy-Pasting in Patients' Electronic Medical Records (EMRs): Use Judiciously and With Caution

An electronic medical record (EMR) is an electronic, comprehensive, and up-to-date compilation of a patient's medical history and information stored in a secure digital format. It provides real-time access to patient data, enabling healthcare providers to make informed decisions quickly and accurately. EMR systems streamline a patient's healthcare journey and enable shared care across the medical practice. By providing a comprehensive view of a patient's medical history, EMRs can be invaluable tools for physicians and healthcare providers, allowing them to collaborate more effectively and provide better care. Additionally, EMRs can help reduce paperwork, improve accuracy, and increase efficiency, ultimately leading to improved patient outcomes. The true potential of EMR systems can be realized when they are used in conjunction with evidence-based medicine methodologies, quality improvement initiatives, and team-based care. This combination of technologies and practices can revolutionize healthcare delivery, improving patient outcomes, greater efficiency, and cost savings. "Copy-pasting" is an essential feature of EMR systems, with physicians relying on it for up to 35.7% of their workflow. By leveraging the copy-pasting feature of their EMR system, physicians can ensure that their data capture is accurate and timely, leading to better patient care. Copy-pasting can be a valuable tool for physicians, saving time and allowing them to focus on practical clinical issues. However, it is essential to note that while most clinicians copy-paste, 25% of them believe it can lead to a high frequency of medical errors, with the potential for a significant number of errors being attributed to this practice. Therefore, physicians must exercise caution when copy-pasting and take the necessary steps to ensure accuracy and reduce the risk of errors. Copy-pasting can cause severe adverse patient events by introducing new inaccuracies, rapidly spreading inaccurate or outdated information, leading to discordant notes, and creating long notes that mask essential clinical information. Despite these risks, copy-pasting has become widely used in EMRs. Additionally, copy-pasting can reduce the time spent on documentation, allowing healthcare providers to focus more on patient care. Inappropriate copy-pasting can have serious consequences, such as compromising data integrity, endangering patient safety, increasing costs, and even leading to fraudulent malpractice claims. In conclusion, copy-pasting can be helpful for healthcare professionals, but it must be used cautiously. Proper education and safeguards should be implemented to ensure accuracy and up-to-date patient data. Additionally, healthcare professionals should be aware of the legal implications of copy-pasting, as it may be considered a form of medical malpractice. With the proper precautions, copy-pasting can be a safe and efficient way to save time and reduce errors in patient records.

Information Technology in Health-Care Systems and Primary Health Care

BACKGROUND: Health information technology (HIT) is being increasingly necessary to manage the ever-increasing amount of data generate by the health system in general, including primary health care (PHC). AIM: This study aimed to provide an overview of HIT being currently use in the health systems and PHC as well as to highlight the advantages and disadvantages of HIT options. METHODS: This is a narrative literature review of papers, documents, and websites that address and discuss HIT for the health systems. The analysis of the retrieved materials provided an overview of the importance of HIT for the health system, the various options of health technology currently available, as well as the future trends. Strengths and weaknesses have been highlighted as well. RESULTS: HIT is being increasingly used in the health sector, as an indispensable tool to handle the extraordinary amount of data being generated by the health system but also as an instrument to improve the quality of health care through the reduction of medical errors and health care-associated costs, improvement of patient follow-up and monitoring, and also as a tool that informs and guides clinical decision-making. A large variety of HIT options is available, including telehealth, telemedicine, mobile health, electronic medical records, electronic health records, personal health records, electronic prescriptions (e-prescriptions), wearables, metadata, and even artificial intelligence. Each HIT option has its own advantages and disadvantages. PHC could benefit from the implementation of various HIT options. CONCLUSIONS: The decision which HIT option(s) to employ will depend on many factors, but the process needs to employ small steps, strong political will, cooperation, and coordination between all stakeholders.

Restricted use of copy and paste in electronic health records potentially improves healthcare quality

ABSTRACT

The copy-and-paste feature is commonly used for clinical documentation, and a policy is needed to reduce overdocumentation. We aimed to determine if the restricted use of copy and paste by doctors could improve inpatient healthcare quality.Clinical documentation in an inpatient dataset compiled from 2016 to 2018 was used. Copied-and-pasted text was detected in word templates using natural language programming with a threshold of 70%. The prevalence of copying and pasting after the policy introduction was accessed by segmented regression for trend analysis. The rate of readmission for the same disease within 14 days was assessed to evaluate inpatient healthcare quality, and the completion of discharge summary notes within 3 days was assessed to determine the timeliness of note completion. The relationships between these factors were used cross-correlation to detect lag effect. Poisson regression was performed to identify the relative effect of the copy and paste restriction policy on the 14-day readmission rate or the discharge note completion rate within 3 days.The prevalence of copying and pasting initially decreased, then increased, and then flatly decreased. The cross-correlation results showed a significant correlation between the prevalence of copied-and-pasted text and the 14-day readmission rate (P < .001) and a relative risk of 1.105 (P < .005), with a one-month lag. The discharge note completion rate initially decreased and not affected long term after restriction policy.Appropriate policies to restrict the use of copying and pasting can lead to improvements in inpatient healthcare quality. Prospective research with cost analysis is needed.

Participatory Design of a Medication Module in an Electronic Medical Record for Paediatric Palliative Care: A Think-Aloud Approach with Nurses and Physicians

BACKGROUND

Electronic medical records (EMRs) play a key role in improving documentation and quality of care in paediatric palliative care (PPC). Inadequate EMR design can cause incorrect prescription and administration of medications. Due to the fact of complex diseases and the resulting high level of medical complexity, patients in PPC are vulnerable to medication errors. Consequently, involving users in the development process is important. Therefore, the aim of this study was to evaluate the acceptance of a medication module from the perspective of potential users in PPC and to involve them in the development process.

METHODS

A qualitative observational study was conducted with 10 nurses and four physicians using a concurrent think-aloud protocol and semi-structured qualitative interviews. A qualitative content analysis was applied based on a unified theory of acceptance and use of technology.

RESULTS

Requirements from the user's perspective could be identified as possible influences on acceptance and actual use. Requirements were grouped into the categories "performance expectancies" and "effort expectancies".

CONCLUSIONS

The results serve as a basis for further development. Attention should be given to the reduction of display fragmentation, as it decreases cognitive load. Further approaches to evaluation should be taken.

The effectiveness of EMR implementation regarding reducing documentation errors and waiting time for patients in outpatient clinics: a systematic review

Background: Electronic medical records (EMRs) refer to the digital copies of paper notes prepared in the physician’s office, outpatient clinics and other departments in health care institutes. EMRs are considered to be significant and preferable to paper records because they allow providers to keep accurate track of patient data and monitoring over time, thus reducing errors, and enhance overall health care quality. The aim of this systematic review was to highlight the significance of EMRs and the effectiveness of implementation regarding reducing documentation errors and waiting time for patients in outpatient clinics.

Methods: PubMed, Central, Ovid, Scopus, Science Direct, Elsevier, Cochrane , WHO website and the McMaster University Health Evidence website from 2005-2020 were searched to identify studies that investigated the association between the EMR implementation and documentation error and waiting time for patients. A reviewer screened identified citations and extracted data according to the PRISMA guidelines and data was synthesized in a narrative manner.

Results: After full text examination of the articles selected for this literature review, the major themes of relevance that were identified in the context of reducing documentation errors and waiting time for patients in outpatient clinic include: reduction of medical errors because of fewer documentation errors resulting from EMR implementation and reduction of waiting time for patients due to overall improvement of system workflow after use of EMRs.

Conclusion: In summary of the reviewed evidence from published material, the implementation of an EMR system in any outpatient setting appears to reduce documentation errors (medication dose errors, issues of prescription errors). It was also seen that in many settings, waiting time for patients in outpatient clinics was reduced with EMR use, while in other settings it was not possible to determine if any significant improvement was seen in this aspect after EMR implementation.

Use of Online Medical Records to Support Medical Decision Making: A Cross-Sectional Study of US Adults

The use of online medical records has increased over time and may enhance patient involvement in medical decisions. We explored sociodemographic, medical condition, and digital health correlates of using online medical records to support medical decision making. Cross-sectional data from the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3, N = 5438) were analyzed. Final analyses included participants who accessed their online medical records within 12 months and had complete data for all variables (n = 1807). The outcome was, "In the past 12 months have you used your online medical record to help you make a decision about how to treat an illness or condition (yes/no)?" Univariate and multivariate odds ratios and 95% confidence intervals were calculated. Multivariately, the odds of using online medical records to support medical decision making were significantly higher for individuals who (a) used online medical records to securely send messages to health care providers, (b) used a smartphone health app to access their online medical records, (c) had online medical records that contained clinical notes, (d) reported that online medical records were useful for monitoring health, and (e) self-identified as African American, Asian, or "Other." Online medical records may support medical decision making depending on the context.