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Use of a Novel, Electronic Health Record-Centered, Interprofessional ICU Rounding Simulation to Understand Latent Safety Issues.

ABSTRACT: OBJECTIVES:The electronic health record is a primary source of information for all professional groups participating in ICU rounds. We previously demonstrated that, individually, all professional groups involved in rounds have significant blind spots in recognition of patient safety issues in the electronic health record. However, it is unclear how team dynamics impacts identification and verbalization of viewed data. Therefore, we created an ICU rounding simulation to assess how the interprofessional team recognized and reported data and its impact on decision-making. DESIGN:Each member of the ICU team reviewed a simulated ICU chart in the electronic health record which contained embedded patient safety issues. The team conducted simulated rounds according to the ICU's existing rounding script and was assessed for recognition of safety issues. SETTING:Academic medical center. SUBJECTS:ICU residents, nurses, and pharmacists. INTERVENTION:None. MEASUREMENTS AND MAIN RESULTS:Twenty-eight teams recognized 68.6% of safety issues with only 50% teams having the primary diagnosis in their differential. Individually, interns, nurses, and pharmacists recognized 30.4%, 15.6%, and 19.6% of safety items, respectively. However, there was a negative correlation between the intern's performance and the nurse's or the pharmacist's performance within a given team. The wide variance in recognition of data resulted in wide variance in orders. Overall, there were 21.8 orders requested and 21.6 orders placed per case resulting in 3.6 order entry inconsistencies/case. Between the two cases, there were 145 distinct orders place with 43% being unique to a specific team and only 2% placed by all teams. CONCLUSIONS:Although significant blind spots exist in the interprofessional team's ability to recognize safety issues in the electronic health record, the inclusion of other professional groups does serve as a partial safety net to improve recognition. Electronic health record-based, ICU rounding simulations can serve as a test-bed for innovations in ICU rounding structure and data collection.

SUBMITTER: Bordley J

PROVIDER: S-EPMC6138563 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Use of a Novel, Electronic Health Record-Centered, Interprofessional ICU Rounding Simulation to Understand Latent Safety Issues.

Bordley James J Sakata Knewton K KK Bierman Jesse J McGrath Karess K Mulanax Ashley A Nguyen Linh L Mohan Vishnu V Gold Jeffrey A JA

Critical care medicine 20181001 10

<h4>Objectives</h4>The electronic health record is a primary source of information for all professional groups participating in ICU rounds. We previously demonstrated that, individually, all professional groups involved in rounds have significant blind spots in recognition of patient safety issues in the electronic health record. However, it is unclear how team dynamics impacts identification and verbalization of viewed data. Therefore, we created an ICU rounding simulation to assess how the int ...[more]

PMID: 29957710

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Project description:Rationale & objectiveElectronic health record portals are increasingly emphasized in chronic kidney disease (CKD). However, associations of portal use with clinical and patient-centered outcomes remain unknown.Study designCross-sectional survey (April 2015 to March 2018).Setting & participantsNondialysis patients with CKD from nephrology clinics within 1 academic medical center.ExposuresPatient demographics (age, sex, race, ethnicity, education, and income), kidney function.OutcomesAssociation between portal use as an outcome and exposures. Additionally, associations of portal use and patient demographics with 4 patient-centered outcomes (CKD-specific knowledge, stress, and 2 self-ratings of health).Analytic approachLogistic regression to examine associations between patient portal use, demographics, and kidney function. Linear regression to examine associations between portal use and patient-centered outcomes.ResultsOf 245 participants, mean age was 60 ± 17 (SD) years, 182 (77%) were White, 121 (49%) were women, 230 (96%) had a high school education or higher, and 96 (45%) had <$50,000 annual income. Examining portal use, 159 (65%) used the portal as follows: checking laboratory test results, 157 (99%); managing appointments, 133 (84%); messaging providers, 131 (82%); viewing medical history, 127 (80%); reviewing educational resources, 113 (71%); and renewing prescriptions, 98 (62%). African Americans (OR, 0.34; 95% CI, 0.16-0.72 vs White patients), patients with less formal education (OR, 0.06; 95% CI, 0.01-0.36), and those with lower income (OR, 0.28; 95% CI, 0.13-0.60; and OR, 0.26; 95% CI, 0.12-0.54 comparing income < $25,000 and $25,000-$50,000, respectively, with ≥$50,000) had lower odds of using the portal. In adjusted analysis, only lower income predicted lower portal use. Examining patient-centered outcomes in univariable analysis, portal users had higher knowledge (β = 4.89; P = 0.02), higher ratings of current health (β = 0.28; P = 0.03), and lower CKD-related stress (β = -0.18; P = 0.05). In adjusted analysis, only patient demographics and/or kidney function remained independent predictors of patient-centered outcomes.LimitationsCross-sectional study design, cannot determine causality.ConclusionsInterventions are needed to ensure that all patients have access to portals to mitigate disparities in care.

Project description:BackgroundIncorporating a patient's personal narrative into the electronic health record is an opportunity to more fully integrate the patient's values and beliefs into care, thus creating opportunities to deliver high-quality/high-value, person-centered care.ObjectivesThe aim of the study was to present a study protocol of a narrative intervention to (a) compare the effects of the narrative intervention to usual care on primary outcome of person's (patient) perceptions of quality of communication, (b) compare the effects of the narrative intervention on secondary outcomes of biopsychosocial well-being, and (c) examine the feasibility and acceptability of the narrative intervention from the perspective of both persons: the patient and the acute care bedside nurse.MethodsA randomized control trial is being conducted with a targeted enrollment of 80 patient participants and 80 nurse participants. The patient participants include individuals who are admitted to the acute care hospital for either heart failure or end-stage renal disease. An acute care beside nurse who has cared for the patient participant is also enrolled. Through a 1:1 random allocation scheme, stratified by illness, we will enroll 40 in the narrative intervention group and 40 in the usual care group. Patient participants will be assessed for patient-reported outcomes of patient's perception of quality of communication and biopsychosocial well-being.ResultsThe study began in October 2019; 53 potential patient participants have been approached, 21 have enrolled, and 20 have completed the data collection process.DiscussionThe testing and integration of a person-centered narrative into the electronic health record is a novel approach to provide opportunities for improvement in communication between patients and nurses. The results from this study will provide important preliminary knowledge to inform future randomized clinical trials of narrative interventions leading to advances in how to best provide high-value, high-quality, person-centered care for persons living with serious illness.

Project description:BackgroundThe increasing use of electronic health records and the Internet of Things has led to interoperability issues at different levels (structural and semantic). Standards are important not only for successfully exchanging data but also for appropriately interpreting them (semantic interoperability). Thus, to facilitate the semantic interoperability of data exchanged in health care, considerable resources have been deployed to improve the quality of shared clinical data by structuring and mapping them to the Fast Healthcare Interoperability Resources (FHIR) standard.ObjectiveThe aims of this study are 2-fold: to inventory the studies on FHIR semantic interoperability resources and terminologies and to identify and classify the approaches and contributions proposed in these studies.MethodsA systematic mapping review (SMR) was conducted using 10 electronic databases as sources of information for inventory and review studies published during 2012 to 2022 on the development and improvement of semantic interoperability using the FHIR standard.ResultsA total of 70 FHIR studies were selected and analyzed to identify FHIR resource types and terminologies from a semantic perspective. The proposed semantic approaches were classified into 6 categories, namely mapping (31/126, 24.6%), terminology services (18/126, 14.3%), resource description framework or web ontology language-based proposals (24/126, 19%), annotation proposals (18/126, 14.3%), machine learning (ML) and natural language processing (NLP) proposals (20/126, 15.9%), and ontology-based proposals (15/126, 11.9%). From 2012 to 2022, there has been continued research in 6 categories of approaches as well as in new and emerging annotations and ML and NLP proposals. This SMR also classifies the contributions of the selected studies into 5 categories: framework or architecture proposals, model proposals, technique proposals, comparison services, and tool proposals. The most frequent type of contribution is the proposal of a framework or architecture to enable semantic interoperability.ConclusionsThis SMR provides a classification of the different solutions proposed to address semantic interoperability using FHIR at different levels: collecting, extracting and annotating data, modeling electronic health record data from legacy systems, and applying transformation and mapping to FHIR models and terminologies. The use of ML and NLP for unstructured data is promising and has been applied to specific use case scenarios. In addition, terminology services are needed to accelerate their use and adoption; furthermore, techniques and tools to automate annotation and ontology comparison should help reduce human interaction.

Project description:BACKGROUND: Medical care delivered in hospital-based medicine units requires interprofessional collaborative care (IPCC) to improve quality. However, models such as bedside interprofessional rounds, or encounters that include the team of physician and nurse providers discussing medical care at the patient's bedside, are not well studied. OBJECTIVE: To examine the incidence of and time spent in bedside interprofessional rounds on internal medicine teaching services in one academic medical center. DESIGN AND PARTICIPANTS: Observational descriptive study of internal medicine faculty serving as inpatient medicine attending physicians. Participants completed a daily electronic survey following team rounding sessions to assess rounding characteristics (November 2012-June 2013); variables such as resident level-of-training, attending physician years' of experience, house staff call day and clinic schedule were obtained from administrative data. Descriptive, Kruskal-Wallis, and multivariable logistic regression statistics were used to evaluate the study objectives. MAIN MEASURES: Primary outcomes were: (1) incidence of bedside interprofessional rounds, (2) time spent with patients during bedside interprofessional rounding encounters, and, (3) factors associated with increased occurrence of and time spent with patients during bedside interprofessional rounds. Covariates included resident level-of-training, attending physician years' of experience, census size, and call day. KEY RESULTS: Of 549 rounding sessions, 412 surveys were collected (75 % response) from 25 attending physicians. Bedside interprofessional rounds occurred with 64 % of patients (median 8.0 min/encounter), differing by unit (intermediate care 81 %, general medicine 63 %, non-medicine 57 %, p < 0.001). Factors independently associated with increased occurrence of bedside interprofessional rounds were senior resident (OR 2.67, CI 1.75-4.06, PGY-3/PGY-4 vs. PGY-2), weekdays (OR 1.74, CI 1.13-2.69), team census size ≤ 11 (OR 2.36, CI 1.37-4.06), and attending physicians with ≤ 4 years' experience (OR 2.15, CI 1.31-3.55). Factors independently associated with increased time spent during encounters were attending physicians with ≤ 4 years (OR 2.38, CI 1.44-3.95), 5-15 years of experience (OR 1.82, CI 1.10-3.02), and weekdays (OR 1.71, CI 1.10-2.65). CONCLUSIONS: These findings highlight factors associated with increasing or decreasing occurrence and time spent in bedside interprofessional collaborative care delivery. Systematic changes to census size caps, resident scheduling, and attending physician education and staffing may be required to increase the occurrence of interprofessional collaborative care.

Dataset Information

Use of a Novel, Electronic Health Record-Centered, Interprofessional ICU Rounding Simulation to Understand Latent Safety Issues.

Publications

Use of a Novel, Electronic Health Record-Centered, Interprofessional ICU Rounding Simulation to Understand Latent Safety Issues.

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