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A pilot study: a teaching electronic medical record for educating and assessing residents in the care of patients.

ABSTRACT: We tested a novel, web-based teaching electronic medical record to teach and assess residents' ability to enter appropriate admission orders for patients admitted to the intensive care unit. The primary objective was to determine if this tool could improve the learners' ability to enter an evidence-based, comprehensive initial care plan for critically ill patients.The authors created three modules using de-identifed real patient data from selected patients that were admitted to the intensive care unit. All senior residents (113 total) were invited to participate in a dedicated two-hour educational session to complete the modules. Learner performance was graded against gold standard admission order sets created by study investigators based on the latest evidence-based medicine and guidelines.The session was attended by 39 residents (34.5% of invitees). There was an average improvement of at least 20% in users' scores across the three modules (Module 3-Module 1 mean difference 22.5%; p = 0.001 and Module 3-Module 2 mean difference 20.3%; p = 0.001). Diagnostic acumen improved in successive modules. Almost 90% of the residents reported the technology was an effective form of teaching and would use it autonomously if more modules were provided.In this pilot project, using a novel educational tool, users' patient care performance scores improved with a high level of user satisfaction. These results identify a realistic and well-received way to supplement residents' training and assessment on core clinical care and patient management in the face of duty hour restrictions.

SUBMITTER: Smith J

PROVIDER: S-EPMC5844037 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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A pilot study: a teaching electronic medical record for educating and assessing residents in the care of patients.

Smith Joshua J Carlos W Graham WG Johnson Cynthia S CS Takesue Blaine B Litzelman Debra D

Medical education online 20181201 1

<h4>Objective</h4>We tested a novel, web-based teaching electronic medical record to teach and assess residents' ability to enter appropriate admission orders for patients admitted to the intensive care unit. The primary objective was to determine if this tool could improve the learners' ability to enter an evidence-based, comprehensive initial care plan for critically ill patients.<h4>Methods</h4>The authors created three modules using de-identifed real patient data from selected patients that ...[more]

PMID: 29506459

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Project description:BACKGROUND:The increased use of electronic medical records (EMRs) in Canadian primary health care practice has resulted in an expansion of the availability of EMR data. Potential users of these data need to understand their quality in relation to the uses to which they are applied. Herein, we propose a basic model for assessing primary health care EMR data quality, comprising a set of data quality measures within four domains. We describe the process of developing and testing this set of measures, share the results of applying these measures in three EMR-derived datasets, and discuss what this reveals about the measures and EMR data quality. The model is offered as a starting point from which data users can refine their own approach, based on their own needs. METHODS:Using an iterative process, measures of EMR data quality were created within four domains: comparability; completeness; correctness; and currency. We used a series of process steps to develop the measures. The measures were then operationalized, and tested within three datasets created from different EMR software products. RESULTS:A set of eleven final measures were created. We were not able to calculate results for several measures in one dataset because of the way the data were collected in that specific EMR. Overall, we found variability in the results of testing the measures (e.g. sensitivity values were highest for diabetes, and lowest for obesity), among datasets (e.g. recording of height), and by patient age and sex (e.g. recording of blood pressure, height and weight). CONCLUSIONS:This paper proposes a basic model for assessing primary health care EMR data quality. We developed and tested multiple measures of data quality, within four domains, in three different EMR-derived primary health care datasets. The results of testing these measures indicated that not all measures could be utilized in all datasets, and illustrated variability in data quality. This is one step forward in creating a standard set of measures of data quality. Nonetheless, each project has unique challenges, and therefore requires its own data quality assessment before proceeding.

Project description:BACKGROUND:Development of electronic health record (EHR) prediction models to improve palliative care delivery is on the rise, yet the clinical impact of such models has not been evaluated. OBJECTIVE:To assess the clinical impact of triggering palliative care using an EHR prediction model. DESIGN:Pilot prospective before-after study on the general medical wards at an urban academic medical center. PARTICIPANTS:Adults with a predicted probability of 6-month mortality of ??0.3. INTERVENTION:Triggered (with opt-out) palliative care consult on hospital day 2. MAIN MEASURES:Frequencies of consults, advance care planning (ACP) documentation, home palliative care and hospice referrals, code status changes, and pre-consult length of stay (LOS). KEY RESULTS:The control and intervention periods included 8 weeks each and 138 admissions and 134 admissions, respectively. Characteristics between the groups were similar, with a mean (standard deviation) risk of 6-month mortality of 0.5 (0.2). Seventy-seven (57%) triggered consults were accepted by the primary team and 8 consults were requested per usual care during the intervention period. Compared to historical controls, consultation increased by 74% (22 [16%] vs 85 [63%], P?<?.001), median (interquartile range) pre-consult LOS decreased by 1.4 days (2.6 [1.1, 6.2] vs 1.2 [0.8, 2.7], P?=?.02), ACP documentation increased by 38% (23 [17%] vs 37 [28%], P?=?.03), and home palliative care referrals increased by 61% (9 [7%] vs 23 [17%], P?=?.01). There were no differences between the control and intervention groups in hospice referrals (14 [10] vs 22 [16], P?=?.13), code status changes (42 [30] vs 39 [29]; P?=?.81), or consult requests for lower risk (<?0.3) patients (48/1004 [5] vs 33/798 [4]; P?=?.48). CONCLUSIONS:Targeting hospital-based palliative care using an EHR mortality prediction model is a clinically promising approach to improve the quality of care among seriously ill medical patients. More evidence is needed to determine the generalizability of this approach and its impact on patient- and caregiver-reported outcomes.

Project description:ObjectiveEfficient, effective health care requires rapid availability of patient information. We designed, implemented, and assessed the impact of a primary care electronic medical record (EMR) in three rural Kenyan health centers.MethodLocal clinicians identified data required for primary care and public health reporting. We designed paper encounter forms to capture these data in adult medicine, pediatric, and antenatal clinics. Encounter form data were hand-entered into a new primary care module in an existing EMR serving onsite clinics serving patients infected with the human immunodeficiency virus (HIV). Before subsequent visits, Summary Reports were printed containing selected patient data with reminders for needed HIV care. We assessed effects on patient flow and provider work with time-motion studies before implementation and two years later, and we surveyed providers' satisfaction with the EMR.ResultsBetween September 2008 and December 2011, 72 635 primary care patients were registered and 114 480 encounter forms were completed. During 2011, 32 193 unique patients visited primary care clinics, and encounter forms were completed for all visits. Of 1031 (3.2%) who were HIV-infected, 85% received HIV care. Patient clinic time increased from 37 to 81 min/visit after EMR implementation in one health center and 56 to 106 min/visit in the other. However, outpatient visits to both health centers increased by 85%. Three-quarters of increased time was spent waiting. Despite nearly doubling visits, there was no change in clinical officers' work patterns, but the nurses' and the clerks' patient care time decreased after EMR implementation. Providers were generally satisfied with the EMR but desired additional training.ConclusionsWe successfully implemented a primary care EMR in three rural Kenyan health centers. Patient waiting time was dramatically lengthened while the nurses' and the clerks' patient care time decreased. Long-term use of EMRs in such settings will require changes in culture and workflow.

Project description:BackgroundPatients in intensive care units (ICUs) often require quality palliative care for relief from various types of suffering. To achieve quality palliative care, specific goals need to be identified, measured, and reported. The present study aimed to develop quality indicators (QIs) for palliative care in ICUs, based on a systematic review and modified Delphi method, and test their feasibility by reviewing electronic medical record (EMR) data.MethodsThe current study was performed in two phases: the development of QIs using the modified Delphi method, and pilot-testing the quality of palliative care in ICUs based on EMR review. The pilot test included 262 patients admitted to the general or emergency ICU at a university hospital from January 1, 2019, to June 30, 2019.ResultsA 28-item QI set for palliative care in ICUs was developed based on the consensus of 16 experts. The Delphi process resulted in low measurability ratings for two items: "Assessment of the patient's psychological distress" and "Assessment of the patient's spiritual and cultural practices." However, these items were determined to be important for quality care from the perspective of holistic assessment of distress and were adopted in the final version of the QI set. While the pilot test results indicated the feasibility of the developed QIs, they suggested that the frequency of care performance varied, and certain aspects of palliative care in ICUs needed to be improved, namely (1) regular pain assessment, (2) identification of the patient's advance directive and advance care planning for treatment, (3) conducting an interdisciplinary family conference on palliative care, and (4) assessment of psychological distress of family members.ConclusionsThe QI set, developed using the modified Delphi method and tested using EMR data, provided a tool for assessing the quality of palliative care in ICUs. In the two ICUs considered in this study, aspects of the palliative care process with a low performance frequency were identified, and further national surveys were recommended. It is necessary to conduct ongoing surveys at more facilities to improve the quality of palliative care in ICUs.

Dataset Information

A pilot study: a teaching electronic medical record for educating and assessing residents in the care of patients.

Publications

A pilot study: a teaching electronic medical record for educating and assessing residents in the care of patients.

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