Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis

被引:5
作者
Schubel, Laura [1 ]
Mosby, Danielle L. [2 ]
Blumenthal, Joseph [1 ]
Capan, Muge [3 ]
Arnold, Ryan [4 ]
Kowalski, Rebecca [1 ]
Seagull, F. Jacob [5 ]
Catchpole, Ken [6 ]
Schwartz, J. Sanford [7 ]
Franklin, Ella [1 ]
Littlejohn, Robin [1 ]
Miller, Kristen E. [1 ]
机构
[1] MedStar Hlth, Washington, DC USA
[2] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
[3] Drexel Univ, LeBow Coll Business, Philadelphia, PA 19104 USA
[4] Drexel Univ, Coll Med, Philadelphia, PA 19104 USA
[5] Univ Michigan, Ann Arbor, MI 48109 USA
[6] Med Univ South Carolina, Charleston, SC 29425 USA
[7] Univ Penn, Wharton, Philadelphia, PA 19104 USA
关键词
clinical decision support; human factors; sepsis; usability; user-centered design; INTERNATIONAL CONSENSUS DEFINITIONS; SEPTIC SHOCK; SYSTEMS; GUIDELINES; INTERFACE; USABILITY; IMPLEMENTATION; INFECTION; CRITERIA; ALERTS;
D O I
10.1177/1460458219839623
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:642 / 651
页数:10
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