Cognitive Informatics for Biomedicine

Patel, Vimla L.; Kannampallil, Thomas; Kaufman, David R.

doi:10.1007/978-3-319-17272-9

Cited by 10 publications

(4 citation statements)

References 326 publications

(454 reference statements)

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“…[21][22][23] However, with the advancement of technological innovation in health care environments, computational ethnographical data, including screen activities, eye tracking, motion capture, and real time locating systems (RTLS), are being increasingly harnessed to validate audit-log data. 24 Studies utilizing these traditional and computational ethnographical methodologies have validated ambulatory audit-log data. [12][13][14][15][16] Validation of inpatient audit-log data, however, has not been performed.…”

Section: Background and Significancementioning

confidence: 99%

Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings

Sinha

Stevens

et al. 2021

Appl Clin Inform

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Background Time spent in the electronic health record (EHR) has been identified as an important unit of measure for health care provider clinical activity. The lack of validation of audit-log based inpatient EHR time may have resulted in underuse of this data in studies focusing on inpatient patient outcomes, provider efficiency, provider satisfaction, etc. This has also led to a dearth of clinically relevant EHR usage metrics consistent with inpatient provider clinical activity. Objective The aim of our study was to validate audit-log based EHR times using observed EHR-times extracted from screen recordings of EHR usage in the inpatient setting. Methods This study was conducted in a 36-bed pediatric intensive care unit (PICU) at Lucile Packard Children's Hospital Stanford between June 11 and July 14, 2020. Attending physicians, fellow physicians, hospitalists, and advanced practice providers with ≥0.5 full-time equivalent (FTE) for the prior four consecutive weeks and at least one EHR session recording were included in the study. Citrix session recording player was used to retrospectively review EHR session recordings that were captured as the provider interacted with the EHR. Results EHR use patterns varied by provider type. Audit-log based total EHR time correlated strongly with both observed total EHR time (r = 0.98, p < 0.001) and observed active EHR time (r = 0.95, p < 0.001). Each minute of audit-log based total EHR time corresponded to 0.95 (0.87–1.02) minutes of observed total EHR time and 0.75 (0.67–0.83) minutes of observed active EHR time. Results were similar when stratified by provider role. Conclusion Our study found inpatient audit-log based EHR time to correlate strongly with observed EHR time among pediatric critical care providers. These findings support the use of audit-log based EHR-time as a surrogate measure for inpatient provider EHR use, providing an opportunity for researchers and other stakeholders to leverage EHR audit-log data in measuring clinical activity and tracking outcomes of workflow improvement efforts longitudinally and across provider groups.

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Section: Background and Significancementioning

confidence: 99%

Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings

Sinha

Stevens

et al. 2021

Appl Clin Inform

View full text Add to dashboard Cite

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“…In order to improve the communication and workflow process inside the surgical carepathway, varying types of devices applications and technologies have be introduced to the hospital environment. Some of these new approaches are mobile solutions [45][46][47]; the digital capture and intra distribution of medical records [48][49][50]; data visualization and availability [51,52]; and patient identification and security [53,54].The following section will now highlight some of these approaches and their impact in the delivery of patient care and patient throughput.…”

Section: Current Solutionsmentioning

confidence: 99%

Wireless Mobile Communication and Healthcare

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…Therefore, new interaction paradigms are required to keep the pace of the cutting-edge technologies in healthcare, and they have to be tailored for the different clinical contexts. In this regard, the authoritative work in [20] points out the fundamental role of CI in developing theories, models and frameworks for HCI in medicine. Both design and applications of medical GUIs are presented.…”

Section: Graphical User Interfacesmentioning

confidence: 99%

“…For this reason, the interface design should be inspired by a "physician-centered" approach and then verified by usability testing. CDSSs are often seamlessly integrated with data management and content presentation leveraging AI and Cognitive Informatics (CI) [20]. Interestingly, CI is related to many kinds of applications, in particular the communication patterns in telemedicine, where several clinical teams are involved in data analysis and decision-making tasks.…”

Section: Introductionmentioning

confidence: 99%

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

Rundo

Pirrone

Vitabile

et al. 2020

Journal of Biomedical Informatics

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The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have been achieving outstanding performance and an important impact in clinical research, aiming at precision medicine as well as improving healthcare workflows. However, the inherent heterogeneity and uncertainty in the healthcare information sources pose new compelling challenges for clinicians in their decision-making tasks. Only the proper combination of AI and human intelligence capabilities, by explicitly taking into account effective and safe interaction paradigms, can permit the delivery of care that outperforms what either can do separately. Therefore, Human-Computer Interaction (HCI) plays a crucial role in the design of software oriented to decision-making in medicine. In this work, we systematically review and discuss several research fields strictly linked to HCI and clinical decision-making, by subdividing the articles into six themes,

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Cognitive Informatics for Biomedicine

Cited by 10 publications

References 326 publications

Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings

Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings

Wireless Mobile Communication and Healthcare

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

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