Journal article
Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis
Health informatics journal, v 26(1), pp 642-651
01 Mar 2020
PMID: 31081460
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In caring for patients with sepsis, the current structure of electronic health record systems allows clinical providers access to raw patient data without imputation of its significance. There are a wide range of sepsis alerts in clinical care that act as clinical decision support tools to assist in early recognition of sepsis; however, there are serious shortcomings in existing health information technology for alerting providers in a meaningful way. Little work has been done to evaluate and assess existing alerts using implementation and process outcomes associated with health information technology displays, specifically evaluating clinician preference and performance. We developed graphical model displays of two popular sepsis scoring systems, quick Sepsis Related Organ Failure Assessment and Predisposition, Infection, Response, Organ Failure, using human factors principles grounded in user-centered and interaction design. Models will be evaluated in a larger research effort to optimize alert design to improve the collective awareness of high-risk populations and develop a relevant point-of-care clinical decision support system for sepsis.
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Details
- Title
- Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis
- Creators
- Laura Schubel - MedStar HealthDanielle L. Mosby - Children's Hospital of PhiladelphiaJoseph Blumenthal - MedStar HealthMuge Capan - Drexel UniversityRyan Arnold - Drexel UniversityRebecca Kowalski - MedStar HealthF. Jacob Seagull - MedStar HealthKen Catchpole - Medical University of South CarolinaJ. Sanford Schwartz - MedStar HealthElla Franklin - MedStar HealthRobin Littlejohn - MedStar HealthKristen E. Miller - MedStar Health
- Publication Details
- Health informatics journal, v 26(1), pp 642-651
- Publisher
- Sage
- Number of pages
- 10
- Grant note
- R01LM012300 / NATIONAL LIBRARY OF MEDICINE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000532778400046
- Scopus ID
- 2-s2.0-85084679933
- Other Identifier
- 991019167779704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Health Care Sciences & Services
- Medical Informatics