Impact Of Electronic Health Record Research Articles

The Impact of Electronic Health Records and Meaningful Use on Inpatient Quality.

It is unclear if national investments of the HITECH Act have resulted in significant improvements in care processes and outcomes by making "Meaningful Use (MU)" of Electronic Health Record (EHR) systems. The objective of this study is to determine the impact of EHRs and MU on inpatient quality. We used inpatient hospitalization data, American Hospital Association annual survey, and the Centers for Medicare and Medicaid Services attestation records to study the impact of EHRs on inpatient quality composite scores. Agency for Healthcare Research and Quality Inpatient Quality Indicator (IQI) software version 5.0 was used to compute the hospital-level risk-adjusted standardized rates for IQI indicators and composite scores. After adjusting for confounding factors, EHRs that attested to MU had a positive impact on IQI 90 and IQI 91 composite scores with an 8% decrease in composites for mortality for selected procedures and 18% decrease in composites for mortality for selected conditions. Meaningful Use attestation may be an important driver related to inpatient quality. Health care leaders may need to focus on quality improvement initiatives and advanced analytics to better leverage their EHRs to improve IQI 90 composite score for mortality for selected procedures, because we observed a lesser impact on IQI 90 compared with IQI 91.

In pursuit of the holy grail: Improving C. difficile testing appropriateness with iterative electronic health record clinical decision support and targeted test restriction.

To determine the impact of electronic health record (EHR)-based interventions and test restriction on Clostridioides difficile tests (CDTs) and hospital-onset C. difficile infection (HO-CDI). Quasi-experimental study in 3 hospitals. 957-bed academic (hospital A), 354-bed (hospital B), and 175-bed (hospital C) academic-affiliated community hospitals. Three EHR-based interventions were sequentially implemented: (1) alert when ordering a CDT if laxatives administered within 24 hours (January 2018); (2) cancellation of CDT orders after 24 hours (October 2018); (3) contextual rule-driven order questions requiring justification when laxative administered or lack of EHR documentation of diarrhea (July 2019). In February 2019, hospital C implemented a gatekeeper intervention requiring approval for all CDTs after hospital day 3. The impact of the interventions on C. difficile testing and HO-CDI rates was estimated using an interrupted time-series analysis. C. difficile testing was already declining in the preintervention period (annual change in incidence rate [IR], 0.79; 95% CI, 0.72-0.87) and did not decrease further with the EHR interventions. The laxative alert was temporally associated with a trend reduction in HO-CDI (annual change in IR from baseline, 0.85; 95% CI, 0.75-0.96) at hospitals A and B. The gatekeeper intervention at hospital C was associated with level (IRR, 0.50; 95% CI, 0.42-0.60) and trend reductions in C. difficile testing (annual change in IR, 0.91; 95% CI, 0.85-0.98) and level (IRR 0.42; 95% CI, 0.22-0.81) and trend reductions in HO-CDI (annual change in IR, 0.68; 95% CI, 0.50-0.92) relative to the baseline period. Test restriction was more effective than EHR-based clinical decision support to reduce C. difficile testing in our 3-hospital system.

Electronic Health Record Transition and Impact on Screening Test Follow-Up

Nonurgent clinically significant test results (CSTRs) are a common cause of missed and delayed diagnoses. However, little is known about the impact of electronic health record (EHR) transitions on CSTR follow-up. This study examines follow-up rates for three CSTRs (incidental pulmonary nodules [IPNs]), prostate-specific antigen [PSA], and Pap smears) before and after EHR transition. This is a retrospective cohort study at an urban tertiary medical center using an interrupted time series (ITS) design to assess monthly changes in CSTR follow-up-defined as completion of computed tomography chest imaging 5 to 13 months after first mention of an IPN in a radiology report; completion of a follow-up PSA test, urology visit, or prostate biopsy within 6 months of the first reported PSA > 4; or completion of a colposcopy or gynecology visit within 6 months of a first reported abnormal Pap smear. Patients were included with first-onset abnormal CSTRs for IPN, PSAs > 4, or abnormal Pap smears occurring in the 24 months before and after the EHR transition. There were no significant differences in follow-up in the IPN or the Pap smear ITS models. In the PSA ITS model, follow-up was significantly decreasing (p = 0.0133) in the preintervention period, and there was a significant change in trend from intervention to postintervention (p = 0.0279). EHR transition reversed a decreasing trend over time for PSA test follow-up, while IPN and Pap smear follow-up trends did not change significantly. Effects of EHR transition may differ by test studied.

Investigating the impact of electronic health record on healthcare professionals

Although there is a significant influence of implementing the electronic health records (EHR) system in Qatar, there are very limited studies reviewed and analyzed the influence of implementing the EHR system on healthcare professionals in Qatar. This research aims to assess, summarize, and analyze the influence of the EHR system in healthcare settings in Qatar. The outcome of assessing the implementation of the EHR system may have advantages and disadvantages, which can impact healthcare professionals in healthcare settings in Qatar. The main objective is to evaluate EHR on healthcare professionals in healthcare. A total number of 210 participants were selected randomly from three private hospitals in Qatar. A validated survey distributed to physicians, pharmacists, nurses, and dietitians who work in these healthcare hospitals in Qatar. The purpose is to identify whether the outcome of using the EHR system improved healthcare professionals’ work after it has shifted from using files and hand-writing paperwork to the EHR system. By applying online survey, results indicate that most healthcare professionals positively perceive the use of the EHR system as a valuable system.

Impact of electronic health records on predefined safety outcomes in patients admitted to hospital: a scoping review

ObjectivesReview available evidence for impact of electronic health records (EHRs) on predefined patient safety outcomes in interventional studies to identify gaps in current knowledge and design interventions for future research.DesignScoping...

Antimicrobial allergy and adverse reaction history in hospital patients: Prevalence 2007, 2011, and 2015 and impact of electronic health record (EHR)

Antimicrobial allergy and adverse reaction history in hospital patients: Prevalence 2007, 2011, and 2015 and impact of electronic health record (EHR)

Economic impact of clinical decision support interventions based on electronic health records

BackgroundUnnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promised to improve quality of care and thereby yield substantial effects on reducing healthcare expenditure. In this article, we evaluate the economic impact of clinical decision support (CDS) interventions based on electronic health records (EHR).MethodsWe searched for studies published after 2014 using MEDLINE, CENTRAL, WEB OF SCIENCE, EBSCO, and TUFTS CEA registry databases that encompass an economic evaluation or consider cost outcome measures of EHR based CDS interventions. Thereupon, we identified best practice application areas and categorized the investigated interventions according to an existing taxonomy of front-end CDS tools.Results and discussionTwenty-seven studies are investigated in this review. Of those, twenty-two studies indicate a reduction of healthcare expenditure after implementing an EHR based CDS system, especially towards prevalent application areas, such as unnecessary laboratory testing, duplicate order entry, efficient transfusion practice, or reduction of antibiotic prescriptions. On the contrary, order facilitators and undiscovered malfunctions revealed to be threats and could lead to new cost drivers in healthcare. While high upfront and maintenance costs of CDS systems are a worldwide implementation barrier, most studies do not consider implementation cost. Finally, four included economic evaluation studies report mixed monetary outcome results and thus highlight the importance of further high-quality economic evaluations for these CDS systems.ConclusionCurrent research studies lack consideration of comparative cost-outcome metrics as well as detailed cost components in their analyses. Nonetheless, the positive economic impact of EHR based CDS interventions is highly promising, especially with regard to reducing waste in healthcare.

Electronic Health Record Workstation Single Sign-on: A Quantification of Time Liberated for Nurses to Care for Patients.

The aim of this study was to quantify the impact of electronic health record (EHR) workstation single sign-on (SSO) for nurses. SSO was implemented in 19 hospitals for expedited EHR access. Login durations before and after SSO implementation were compared, and the financial value of nursing time liberated from keyboard was estimated. Stratified analyses show time liberated and financial value by staffing level and system size. First-of-shift login was reduced by 5.3 seconds (15.3%) and reconnect duration was reduced by 20.4 seconds (69.9%). SSO liberated 27,962.4 hours of nursing time from keyboard login per year across 19 facilities, and 1,471.7 hours/year/facility, valued at $52,112/facility and $990,128 for 19 hospitals. Time value ranges from $201,835 per year for a 5-hospital system with 300 nurses per facility to $672,790 per year for a 10-facility system with 500 nurses per hospital. Nurses gained substantial time liberated from EHR keyboard by SSO for patient care, having significant financial value for the organization.

Clinicians' Lived Experiences on Impact of Electronic Health Records (EHR) on Quality and Safety

Electronic Health Record (EHR) implementation in healthcare facilities is intended to assist with clinicians’ activities, such as evidence based decision making, streamlining providers’ workflow via efficient coordination of patient care. However, there have been mixed findings about clinicians’ perceptions of EHR. While several clinicians agree that EHR improves the quality and efficiency of care, others perceive that EHR interrupts the routine workflows, increases documentation load, and takes away clinicians’ time from patients. This study aims to explore the lived experiences of clinicians who regularly use EHR, to assess the role of EHR in improving quality and safety of healthcare. A qualitative study design based on the grounded theory approach was used. Different groups of clinicians (physicians, hospitalists, nurse practitioners, nurses, and patient safety officers) were interviewed using a semi structured interview. Organizations represented were trauma hospitals, academic medical centers, medical clinics, home health centers, and small hospitals. After examining 652 quotes and phrases, 10 major domains emerged. Our study found mixed results, which are consistent with extant literature. Overall, the participants confirmed that EHR improves patient safety by offering reminders, notifications, and alerts. Some respondents found training to be superficial, and of insufficient duration. Participants also thought that EHR can be an interference in clinical activities especially when different EHRs in a multi-system hospital are not integrated well. Some respondents indicated concern about the associated long term costs, including the dependence on technologies and the need to keep up with evolving technologies. Future qualitative and mixed method studies can delve into further exploration of clinicians’ lived experiences as it pertains to specific advantages and disadvantages of EHR.

P105: Observational study of distribution of time and activities over the course of an emergency physician's shift

Introduction: The growing scrutiny to improve Emergency Department (ED) wait times and patient flow have resulted in many efforts to increase efficiency and maximize patient throughput via systems improvements. This study investigates areas of efficiency improvement from the Emergency Physician (EP) perspective by examining EP workflow in a two phased observational time-motion study. In the initial phase, the distribution of time and activities of EPs were dissected to identify potential sources for streamlining to maximize physician productivity. The first phase was of the study was completed during the period immediately preceding the implementation of an Electronic Health Records (EHR). The second phase of the study will repeat the analysis one year post EHR implementation. This data will be dissected to again identify sources for streamlining in an EHR environment and to identify shifts in work flow from a paper-based system. Methods: An observational time motion study was conducted at St. Mary's Hospital ED, in Kitchener Ontario. An observer was paired with an EP for the duration of an 8 hour shift, to a total of 14 shifts in the first phase of the study. Nine task categories were measured concurrently with a stopwatch application on a tablet, along with the number of interruptions experienced by the EP. Means of each category were calculated and converted to percentages, representing the amount of time per 8 hour shift dedicated to each activity. The second phase will be repeated in Fall 2020, 1 year after EHR implementation. Results: A total of 14 shifts were observed, accounting for 112 hours of observation. EP's time was allocated amongst the following categories: direct patient interaction (40.8%), documentation (27.1%), reviewing patient results (18.4%), communicating with ED staff (7.63%), personal activities (5.7%), writing orders (5.1%), communicating with consultants (3.3%), teaching (1.7%) and medical information searches (1.3%). On average, EPs experienced 15.8 interruptions over the course of an 8 hour shift. Conclusion: In a paper charting system, the direct patient interaction accounts for the largest timeshare over the course of a given shift. However, the next two largest categories, documentation and reviewing patient data, both represent areas of potential streamlining via clerical improvements. Additionally, detailed measurements of EPs’ activities have proven feasible and provides the potential for future insight into the impact of EHR's on EP workflow.

MP02: The impact of adoption of an electronic health record on emergency physician work: a time motion study

Introduction: Adoption of a new Electronic Health Record (EHR) can introduce radical changes in task allocation, work processes, and efficiency for providers. In June 2019, The Ottawa Hospital transitioned from a primarily paper based EHR to a comprehensive EHR (Epic) using a “big bang” approach. The objective of this study was to assess the impact of the transition to Epic on Emergency Physician (EP) work activities in a tertiary care academic Emergency Department (ED). Methods: We conducted a time motion study of EPs on shift in low acuity areas of our ED (CTAS 3-5). Fifteen EPs representing a spectrum of pre-Epic baseline workflow efficiencies were directly observed in real-time during two 4-hour sessions prior to EHR implementation (May 2019) and again in go live (August 2019). Trained observers performed continuous observation and measured times for the following EP tasks: chart review, direct patient care, documentation, physical movement, communication, teaching, handover, and other (including breaks). We compared time spent on tasks pre Epic and during go live and report mean times for the EP tasks per patient and per shift using two tailed t-test for comparison. Results: All physicians had a 17% decrease in patients seen after Epic implementation (2.72/hr vs 2.24/hr, p < 0.01). EPs spent the same amount of time per patient on direct patient care and chart review (direct patient care: 9min06sec/pt pre vs 8min56sec/pt go live, p = 0.77; chart review: 2min47sec/pt pre vs 2min50sec/pt go live, p = 0.88), however, documentation time increased (5min28sec/pt pre vs 7min12sec/pt go live, p < 0.01). Time spent on shift teaching learners increased but did not reach statistical significance (31min26sec/shift pre vs 36min21sec/shift go live, p = 0.39), and time spent on non-patient-specific activities – physical movement, handover, team communication, and other – did not change (50min49sec/shift pre vs 50min53sec/shift go live, p = 0.99). Conclusion: Implementation of Epic did not affect EP time with individual patients - there was no change in direct patient care or chart review. Documentation time increased and EP efficiency (patients seen per hr on shift) decreased after go live. Patient volumes cannot be adjusted in the ED therefore anticipating the EHR impact on EP workflow is critical for successful implementation. EDs may consider up staffing 20% during go live. Findings from this study can inform how to best support EDs nationally through transition to EHR.

The Impact of Electronic Health Records on the Duration of Patients' Visits: Time and Motion Study.

BackgroundDespite the many benefits of electronic health records (EHRs), studies have reported that EHR implementation could create unintended changes in the workflow if not studied and designed properly. These changes may impact the time patients spend on the various steps of their visits, such as the time spent in the waiting area and with a physician. The amount of time patients spend in the waiting area before consultation is often a strong predictor of patient satisfaction, willingness to come back for a return visit, and overall experience. The majority of prior studies that examined the impact of EHR systems on time focused on single aspects of patient visits or user (physicians or nurses) activities. The impact of EHR use on patients’ time spent during the different aspects of the visit is rarely investigated.ObjectiveThis study aimed to evaluate the impact of EHR systems on the amount of time spent by patients on different tasks during their visit to primary health care (PHC) centers.MethodsA time and motion observational study was conducted at 4 PHC centers. The PHC centers were selected using stratified randomized sampling. Of the 4 PHC centers, 2 used an EHR system and 2 used a paper-based system. Each group had 1 center in a metropolitan area and another in a rural area. In addition, a longitudinal observation was conducted at one of the PHC centers after 1 year and again after 2 years of implementation. The analysis included descriptive statistics and group comparisons.ResultsThe results showed no significant difference in the amount of time spent by patients in the reception area (P=.26), in the waiting area (P=.57), consultation time (P=.08), and at the pharmacy (P=.28) between the EHR and paper based groups. However, there was a significant difference (P<.001) in the amount of time spent on all tasks between the PHC centers located in metropolitan and rural areas. The longitudinal observation also showed reduction in the registration time (from 5.5 [SD 3.5] min to 0.9 [SD 0.5] min), which could be attributed to the introduction of a Web-based booking system.ConclusionsThe variation in the time patients spend at PHC centers is more likely to be attributed to the facility location than EHR use. The changes in the introduction of new tools and functions, however, such as the Web-based booking system, can impact the duration of patients’ visits.

Have you got the time? Challenges using vendor electronic health record metrics of provider efficiency.

The rise of clinician burnout has been correlated with the increased adoption of electronic health records (EHRs). Some vendors have used data entry logs to measure the amount of time spent using the EHR and have developed metrics of provider efficiency. Initial attempts to utilize these data have proven difficult as it is not always apparent whether variations reflect provider behavior or simply the metric definitions. Metric definitions are also updated intermittently without warning, making longitudinal assessment problematic. Because the metrics are based on proprietary algorithms, they are impossible to validate without costly time-motion studies and are also difficult to compare across institutions and vendors. Clinical informaticians must partner with vendors in order to develop industry standards of EHR use, which could then be used to examine the impact of EHRs on clinician burnout.

Impact of Electronic Health Records on Resident Physicians’ Off-Duty Time: A Multi-Specialty Resident Survey at a Large ACGME Accredited Institution

Impact of Electronic Health Records on Resident Physicians’ Off-Duty Time: A Multi-Specialty Resident Survey at a Large ACGME Accredited Institution

Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship.

Limited studies have been performed in South America to assess patient and physician perceptions of electronic health record (EHR) usage. We aim to study the perceptions of patients and physicians regarding the impact of EHRs on the patient-physician relationship. We use a survey instrument to assess the physician computer experience and opinions regarding EHR impact on various aspects of patient care. An additional survey is used to assess patient opinions related to their medical visit. Surveys are administered in two outpatient clinics in a private, academic health care network. While a majority of physicians believed that EHRs have an overall positive impact on the quality of health care, many physicians had negative perceptions of the impact of EHRs on the patient-physician relationship. A majority of patients felt comfortable with their physician's use of the EHR and felt that their physician was able to maintain good personal contact while using the computer. Although physicians believe EHRs have a generally positive impact on the overall quality of care, the EHR's impact on the patient-physician relationship is still of concern. Patients do not perceive a negative interference from the EHR on the patient-physician relationship.

Impact of Electronic Health Record Implementation on Ophthalmology Trainee Time Expenditures

Abstract Objective Electronic health records (EHRs) are widely adopted, but the time demands of EHR use on ophthalmology trainees are not well understood. This study evaluated ophthalmology trainee time spent on clinical activities in an outpatient clinic undergoing EHR implementation. Design Prospective, manual time-motion observations of ophthalmology trainees in 2018. Participants Eleven ophthalmology residents and fellows observed during 156 patient encounters. Methods Prospective time-motion study of ophthalmology trainees 2 weeks before and 6 weeks after EHR implementation in an academic ophthalmology department. Manual time-motion observations were conducted for 11 ophthalmology trainees in 6 subspecialty clinics during 156 patient encounters. Time spent documenting, examining, and talking with patients were recorded. Factors influencing time requirements were evaluated using linear mixed effects models. Main Outcome Measures Total time spent by ophthalmology residents and fellows per patient, time spent on documentation, examination, and talking with patients. Results Seven ophthalmology residents and four ophthalmology fellows with mean (standard deviation) postgraduate year of 3.7 (1.2) were observed during 156 patient encounters. Using paper charts, mean total time spent on each patient was 11.6 (6.5) minutes, with 5.4 (3.5) minutes spent documenting (48%). After EHR implementation, mean total time spent on each patient was 11.8 (6.9) minutes, with 6.8 (4.7) minutes spent documenting (57%). Total time expenditure per patient did not significantly change after EHR implementation (+0.17 minutes, 95% confidence interval [CI] for difference in means: –2.78, 2.45; p = 0.90). Documentation time did not change significantly after EHR implementation in absolute terms (+1.42 minutes, 95% CI: –3.13, 0.29; p = 0.10), but was significantly greater as a proportion of total time (48% on paper to 57% on EHR; +9%, 95% CI: 2.17, 15.83; p = 0.011). Conclusion Total time spent per patient and absolute time spent on documentation was not significantly different whether ophthalmology trainees used paper charts or the recently implemented EHR. Percentage of total time spent on documentation increased significantly with early EHR use. Evaluating EHR impact on ophthalmology trainees may improve understanding of how trainees learn to use the EHR and may shed light on strategies to address trainee burnout.

Effect of the Adoption of a Comprehensive Electronic Health Record on Graduate Medical Education: Perceptions of Faculty and Trainees.

Health systems are adopting electronic health records (EHRs). There are few studies on the effects of EHR implementation on graduate medical education. The authors sought to longitudinally assess perceptions of the impact of EHRs on graduate medical education during implementation and 2 years after implementation. A survey was distributed to faculty and trainees during the first year (2013) of adoption of the EHR system. A follow-up survey was distributed 2 years later (2015). The χ2 test was used to compare the quantitative responses, and factor analysis was conducted to identify correlations between items. Free text responses were analyzed qualitatively. The initial survey (in 2013) included 290 faculty and 106 trainees; the follow-up survey (in 2015) included 353 faculty and 226 trainees. In 2013, respondents had a positive impression of EHRs. During the implementation phase, participants believed that face-to-face teaching was negatively affected (P = 0.001). Faculty believed EHRs had a negative effect on trainees' ability to take a history/conduct physical examinations (P = 0.002) and to formulate a differential diagnosis/plan independently (P = 0.003). In 2015, faculty opinions of the impact of the EHR remained unchanged; trainee responses were more positive than in 2013 in some areas. Qualitative analysis showed that the most frequent strategies to enhance the educational process were the development of EHR skills and improved chart access and note assistance. Respondents remain positive about the EHR 2 years after implementation. Faculty remain concerned about its effect on the educational process, whereas residents appear more positive regarding the potential for EHRs to enhance their education.

Comprehensive methodology to monitor longitudinal change patterns during EHR implementations: a case study at a large health care delivery network

ObjectiveTo test a systematic methodology to monitor longitudinal change patterns on quality, productivity, and safety outcomes during a large-scale commercial Electronic Health Record (EHR) implementation. Materials and MethodsOur method combines an interrupted time-series design with control sites and 41 consensus outcomes including quality (11 measures), productivity (20 measures), and safety (10 measures). The intervention consisted of a phased commercial EHR implementation at a large health care delivery network. Four medium-size hospitals and 39 clinics from 5 geographic regions implementing the new EHR were compared against a parallel control consisting of one medium-size and one large hospital and 10 clinics that had not implemented the new EHR at the time of this study. We collected monthly data from February 2013 to July 2017. ResultsThe proposed methodology was successfully implemented and significant changes were observed in most measured variables. A significant change attributable to the intervention was observed in 12 (29%) measures in three or more regions; in 32 (78%) measures in two or more regions; and in 40 (98%) measures in at least one region. A similar pattern (i.e., same impact in three or more regions) was detected for nine (22%) measures, a mixed pattern (i.e., same impact in two regions, and different impact in other regions) was detected for nine (22%) measures, and an inconsistent pattern (i.e., did not detect the same impact across regions) was detected for 23 (56%) measures. DiscussionUsing a formal methodology to assess changes in a set of consensus measures, we detected various patterns of impact and mixed time-sensitive effects. With an increasing adoption of EHR systems, it is critical for health care organizations to systematically monitor their EHR implementations. The proposed method provides a robust and consistent approach to monitor EHR implementations longitudinally allowing for continuous monitoring after the system becomes stable in order to avoid unexpected effects. ConclusionOur results and methodology can guide the broader medical and informatics communities by informing what and how to continuously monitor EHR impact on quality, productivity, and safety.

Changes in hospital bond ratings after the transition to a new electronic health record

To assess the impact of electronic health record (EHR) implementation on hospital finances. We analyzed the impact of EHR implementation on bond ratings and net income from service to patients (NISP) at 32 hospitals that recently implemented a new EHR and a set of controls. After implementing an EHR, 7 hospitals had a bond downgrade, 7 had a bond upgrade, and 18 had no changes. There was no difference in the likelihood of bond rating changes or in changes to NISP following EHR go-live when compared to control hospitals. Most hospitals in our analysis saw no change in bond ratings following EHR go-live, with no significant differences observed between EHR implementation and control hospitals. There was also no apparent difference in NISP. Implementation of an EHR did not appear to have an impact on bond ratings at the hospitals in our analysis.

Impact of Electronic Health Records on Long-Term Care Facilities: Systematic Review.

BackgroundLong-term care (LTC) facilities are an important part of the health care industry, providing care to the fastest-growing group of the population. However, the adoption of electronic health records (EHRs) in LTC facilities lags behind other areas of the health care industry. One of the reasons for the lack of widespread adoption in the United States is that LTC facilities are not eligible for incentives under the Meaningful Use program. Implementation of an EHR system in an LTC facility can potentially enhance the quality of care, provided it is appropriately implemented, used, and maintained. Unfortunately, the lag in adoption of the EHR in LTC creates a paucity of literature on the benefits of EHR implementation in LTC facilities.ObjectiveThe objective of this systematic review was to identify the potential benefits of implementing an EHR system in LTC facilities. The study also aims to identify the common conditions and EHR features that received favorable remarks from providers and the discrepancies that needed improvement to build up momentum across LTC settings in adopting this technology.MethodsThe authors conducted a systematic search of PubMed, Cumulative Index of Nursing and Allied Health (CINAHL), and MEDLINE databases. Papers were analyzed by multiple referees to filter out studies not germane to our research objective. A final sample of 28 papers was selected to be included in the systematic review.ResultsResults of this systematic review conclude that EHRs show significant improvement in the management of documentation in LTC facilities and enhanced quality outcomes. Approximately 43% (12/28) of the papers reported a mixed impact of EHRs on the management of documentation, and 33% (9/28) of papers reported positive quality outcomes using EHRs. Surprisingly, very few papers demonstrated an impact on patient satisfaction, physician satisfaction, the length of stay, and productivity using EHRs.ConclusionsOverall, implementation of EHRs has been found to be effective in the few LTC facilities that have implemented them. Implementation of EHRs in LTC facilities caused improved management of clinical documentation that enabled better decision making.