Electronic Health Record Messaging Patterns of Health Care Professionals in Inpatient Medicine.
Ontology highlight
ABSTRACT:
SUBMITTER: Small W
PROVIDER: S-EPMC10751588 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
Publications
Electronic Health Record Messaging Patterns of Health Care Professionals in Inpatient Medicine.
Small William W Iturrate Eduardo E Austrian Jonathan J Genes Nicholas N
JAMA network open 20231201 12
Similar Datasets
Project description:BackgroundCommunication among health care professionals is essential for the delivery of safe clinical care. Secure messaging has rapidly emerged as a new mode of asynchronous communication. Despite its popularity, relatively little is known about how secure messaging is used and how such use contributes to communication burden.ObjectiveThis study aims to characterize the use of an electronic health record-integrated secure messaging platform across 14 hospitals and 263 outpatient clinics within a large health care system.MethodsWe collected metadata on the use of the Epic Systems Secure Chat platform for 6 months (July 2022 to January 2023). Information was retrieved on message volume, response times, message characteristics, messages sent and received by users, user roles, and work settings (inpatient vs outpatient).ResultsA total of 32,881 users sent 9,639,149 messages during the study. Median daily message volume was 53,951 during the first 2 weeks of the study and 69,526 during the last 2 weeks, resulting in an overall increase of 29% (P=.03). Nurses were the most frequent users of secure messaging (3,884,270/9,639,149, 40% messages), followed by physicians (2,387,634/9,639,149, 25% messages), and medical assistants (1,135,577/9,639,149, 12% messages). Daily message frequency varied across users; inpatient advanced practice providers and social workers interacted with the highest number of messages per day (median 19). Conversations were predominantly between 2 users (1,258,036/1,547,879, 81% conversations), with a median of 2 conversational turns and a median response time of 2.4 minutes. The largest proportion of inpatient messages was from nurses to physicians (972,243/4,749,186, 20% messages) and physicians to nurses (606,576/4,749,186, 13% messages), while the largest proportion of outpatient messages was from physicians to nurses (344,048/2,192,488, 16% messages) and medical assistants to other medical assistants (236,694/2,192,488, 11% messages).ConclusionsSecure messaging was widely used by a diverse range of health care professionals, with ongoing growth throughout the study and many users interacting with more than 20 messages per day. The short message response times and high messaging volume observed highlight the interruptive nature of secure messaging, raising questions about its potentially harmful effects on clinician workflow, cognition, and errors.
| S-EPMC10589827 | biostudies-literature
Project description:BackgroundClinical workflows require the ability to synthesize and act on existing and emerging patient information. While offering multiple benefits, in many circumstances electronic health records (EHRs) do not adequately support these needs.ObjectivesWe sought to design, build, and implement an EHR-connected rounding and handoff tool with real-time data that supports care plan organization and team-based care. This article first describes our process, from ideation and development through implementation; and second, the research findings of objective use, efficacy, and efficiency, along with qualitative assessments of user experience.MethodsGuided by user-centered design and Agile development methodologies, our interdisciplinary team designed and built Carelign as a responsive web application, accessible from any mobile or desktop device, that gathers and integrates data from a health care institution's information systems. Implementation and iterative improvements spanned January to July 2016. We assessed acceptance via usage metrics, user observations, time-motion studies, and user surveys.ResultsBy July 2016, Carelign was implemented on 152 of 169 total inpatient services across three hospitals staffing 1,616 hospital beds. Acceptance was near-immediate: in July 2016, 3,275 average unique weekly users generated 26,981 average weekly access sessions; these metrics remained steady over the following 4 years. In 2016 and 2018 surveys, users positively rated Carelign's workflow integration, support of clinical activities, and overall impact on work life.ConclusionUser-focused design, multidisciplinary development teams, and rapid iteration enabled creation, adoption, and sustained use of a patient-centered digital workflow tool that supports diverse users' and teams' evolving care plan organization needs.
| S-EPMC8695057 | biostudies-literature
Project description:In a general inpatient population, we predicted patient-specific medication orders based on structured information in the electronic health record (EHR). Data on over three million medication orders from an academic medical center were used to train two machine-learning models: A deep learning sequence model and a logistic regression model. Both were compared with a baseline that ranked the most frequently ordered medications based on a patient's discharge hospital service and amount of time since admission. Models were trained to predict from 990 possible medications at the time of order entry. Fifty-five percent of medications ordered by physicians were ranked in the sequence model's top-10 predictions (logistic model: 49%) and 75% ranked in the top-25 (logistic model: 69%). Ninety-three percent of the sequence model's top-10 prediction sets contained at least one medication that physicians ordered within the next day. These findings demonstrate that medication orders can be predicted from information present in the EHR.
| S-EPMC7325318 | biostudies-literature
Project description: Not available
| S-EPMC10366699 | biostudies-literature
Project description:There is controversy over the impact of electronic health record (EHR) systems on cost of care and safety. The authors studied the effects of an inpatient EHR system with computerized provider order entry on selected measures of cost of care and safety. Laboratory tests per week per hospitalization decreased from 13.9 to 11.4 (18%; p < 0.001). Radiology examinations per hospitalization decreased from 2.06 to 1.93 (6.3%; p < 0.009). Monthly transcription costs declined from $74,596 to $18,938 (74.6%; p < 0.001). Reams of copy paper ordered per month decreased from 1668 to 1224 (26.6%; p < 0.001). Medication errors per 1000 hospital days decreased from 17.9 to 15.4 (14.0%; p < 0.030), while near misses per 1000 hospital days increased from 9.0 to 12.5 (38.9%; p < 0.037), and the percentage of medication events that were medication errors decreased from 66.5% to 55.2% (p < 0.007). In this manuscript, we demonstrate that the implementation of an inpatient EHR with computerized provider order entry can result in rapid improvement in measures of cost of care and safety.
| S-EPMC3116263 | biostudies-literature
Project description:To facilitate high-quality inpatient care for stroke patients, we built a system within our electronic health record (EHR) to identify stroke patients while they are in the hospital; capture necessary data in the EHR to minimize the burden of manual abstraction for stroke performance measures, decreasing daily time requirement from 2 hours to 15 minutes; generate reports using an automated process; and electronically transmit data to third parties. Provider champions and support from the EHR development team ensured that we balanced the needs of the hospital with those of frontline providers. This work summarizes the development and implementation of our stroke quality system.
| S-EPMC7646918 | biostudies-literature
Project description:BackgroundPatients in a range of health care sectors can access their medical health records using a patient portal. In mental health care, the use of patient portals among mental health care professionals remains low. Mental health care professionals are concerned that patient access to electronic health records (EHRs) will negatively affect the patient's well-being and privacy as well as the professional's own workload.ObjectiveThis study aims to provide insights into the appraisal work of mental health care professionals to assess and understand patient access to their EHRs through a patient portal.MethodsWe conducted a qualitative study that included 10 semistructured interviews (n=11) and a focus group (n=10). Participants in both the interviews and the focus group were mental health care professionals from different professional backgrounds and staff employees (eg, team leaders and communication advisors). We collected data on their opinions and experiences with the recently implemented patient portal and their attempts to modify work practices.ResultsOur study provides insights into mental health care professionals' appraisal work to assess and understand patient access to the EHR through a patient portal. A total of four topics emerged from our data analysis: appraising the effect on the patient-professional relationship, appraising the challenge of sharing and registering delicate information, appraising patient vulnerability, and redefining consultation routines and registration practices.ConclusionsMental health care professionals struggle with the effects of web-based patient access and are searching for the best ways to modify their registration and consultation practices. Our participants seem to appraise the effects of web-based patient access individually. Our study signals the lack of systematization and communal appraisal. It also suggests various solutions to the challenges faced by mental health care professionals. To optimize the effects of web-based patient access to EHRs, mental health care professionals need to be involved in the process of developing, implementing, and embedding patient portals.
| S-EPMC8433850 | biostudies-literature
Project description:Physicians currently spend as much as half of their day in front of the computer. The Electronic Health Record (EHR) has been associated with declining bedside skills and physician burnout. Medical student EHR use has not been well studied or characterized. However, student responsibilities for EHR documentation will likely increase as the Centers for Medicare and Medicaid Services (CMS) most recent provisions now allow student notes for billing which will likely increase the role of medical student use of the EHR over time. To gain a better understanding of how medical students use the EHR at our institution, we retrospectively analyzed 6,692,994 EHR interactions from 49 third-year clerkship medical students and their supervising physicians assigned to the inpatient medicine ward rotation between June 25 2015 and June 24 2016 at a tertiary academic medical center. Medical students spent 4.42 hours (37%) of each day at the on the EHR and 35 minutes logging in from home. Improved understanding of student EHR-use and the effects on well-being warrants further attention, especially as EHR use increases with early trainees.
| S-EPMC6697335 | biostudies-literature
Project description:We aimed to investigate whether using a shared electronic patient record (EPR-Youth) strengthened interprofessional teamwork among professionals in youth care and child healthcare. Using a mixed-methods design, we compared two partly overlapping samples of professionals, who completed questionnaires before the introduction of EPR-Youth (n = 117) and 24 months thereafter (n = 127). Five components of interprofessional teamwork (interdependence, newly created professional activities, flexibility, collective ownership of goals, and reflection on processes) were assessed for this study. Midway through the study period, focus groups were held with 12 professionals to examine how EPR-Youth contributed to interprofessional teamwork. Professionals reported significantly more flexibility after the introduction of EPR-Youth than before. Professionals scored slightly -but not significantly- more positively on the other components of teamwork. Focus group participants reported that using EPR-Youth strengthened their sense of interdependence and collective ownership of goals, and contributed to newly created professional activities. At baseline, levels of interprofessional teamwork differed between organizations. Focus group participants confirmed these differences and attributed them to differences in facilitation of interprofessional teamwork. Our findings suggest that using EPR-Youth can foster interprofessional teamwork. Organizational differences underline that implementing an EPR alone is inadequate: shared definitions of teamwork and organizational facilities are needed to strengthen interprofessional teamwork.
| S-EPMC11018063 | biostudies-literature
Project description:INTRODUCTION:With increasing electronic health record (EHR) use, providers are talking less with one another. Now, many rely on EHRs, informal emails, or texts, introducing fragmentation and new data security challenges with new communication strategies. We aimed to examine the impact of a physician champion educational outreach intervention to promote electronic provider-to-provider communication in a large academic multispecialty group. METHODS:Physician champions provided educational outreach to 16 academic departments, using 10-minute case-based presentations. Online surveys assessed communication preferences and practices. Electronic health record queries counted EHR messaging use before and after intervention. Descriptive statistics compared responses by specialty (z-test). Paired responses with pre-post data were compared using chi-square tests. Time series analysis assessed EHR messaging rates before intervention versus after intervention. RESULTS:Five hundred seventeen providers responded to the postoutreach survey. Eighty-six percent were familiar with EHR messaging tool and 78% knew how to use it after intervention. Among practitioner groups, Family Medicine preferred EHR messaging the most (62%). Groups who declined outreach least preferred it (26%). Among 88 respondents with paired pre-post intervention surveys, familiarity rose (79-96%), and self-reported use increased (66-88%). CONCLUSIONS:Physician champion educational outreach increased the use of the secure provider-to-provider EHR messaging tool.
| S-EPMC6014862 | biostudies-literature