Computer versus physician identification of gastrointestinal alarm features

Highlights • Inquiring about “alarm features” may identify patients at risk for organic disease. • We created a computer algorithm called AEGIS that systematically collects patient alarm features. • Physicians under report alarm features when compared to the AEGIS algorithm. • “E-checklists” could c...

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Veröffentlicht in:	International journal of medical informatics (Shannon, Ireland) Ireland), 2015-12, Vol.84 (12), p.1111-1117
Hauptverfasser:	Almario, Christopher V, Chey, William D, Iriana, Sentia, Dailey, Francis, Robbins, Karen, Patel, Anish V, Reid, Mark, Whitman, Cynthia, Fuller, Garth, Bolus, Roger, Dennis, Buddy, Encarnacion, Rey, Martinez, Bibiana, Soares, Jennifer, Modi, Rushaba, Agarwal, Nikhil, Lee, Aaron, Kubomoto, Scott, Sharma, Gobind, Bolus, Sally, Chang, Lin, Spiegel, Brennan M.R
Format:	Artikel
Sprache:	eng
Schlagworte:	Alarm features Algorithms Checklists Cross-Sectional Studies Decision Support Systems, Clinical - organization & administration Diagnosis, Computer-Assisted - methods Electronic Health Records - organization & administration Gastrointestinal Diseases - diagnosis Humans Internal Medicine Medical History Taking - methods Michigan Observer Variation Other Patient-provider portal Reproducibility of Results Sensitivity and Specificity Symptom Assessment - methods User-Computer Interface
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Zusammenfassung:	Highlights • Inquiring about “alarm features” may identify patients at risk for organic disease. • We created a computer algorithm called AEGIS that systematically collects patient alarm features. • Physicians under report alarm features when compared to the AEGIS algorithm. • “E-checklists” could complement standard medical histories to bolster care.
ISSN:	1386-5056 1872-8243
DOI:	10.1016/j.ijmedinf.2015.07.006