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. 2015 Jan;110(1):170-9.
doi: 10.1038/ajg.2014.356. Epub 2014 Dec 2.

Computer-generated vs. physician-documented history of present illness (HPI): results of a blinded comparison

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Computer-generated vs. physician-documented history of present illness (HPI): results of a blinded comparison

Christopher V Almario et al. Am J Gastroenterol. 2015 Jan.

Abstract

Objectives: Healthcare delivery now mandates shorter visits with higher documentation requirements, undermining the patient-provider interaction. To improve clinic visit efficiency, we developed a patient-provider portal that systematically collects patient symptoms using a computer algorithm called Automated Evaluation of Gastrointestinal Symptoms (AEGIS). AEGIS also automatically "translates" the patient report into a full narrative history of present illness (HPI). We aimed to compare the quality of computer-generated vs. physician-documented HPIs.

Methods: We performed a cross-sectional study with a paired sample design among individuals visiting outpatient adult gastrointestinal (GI) clinics for evaluation of active GI symptoms. Participants first underwent usual care and then subsequently completed AEGIS. Each individual thereby had both a physician-documented and a computer-generated HPI. Forty-eight blinded physicians assessed HPI quality across six domains using 5-point scales: (i) overall impression, (ii) thoroughness, (iii) usefulness, (iv) organization, (v) succinctness, and (vi) comprehensibility. We compared HPI scores within patient using a repeated measures model.

Results: Seventy-five patients had both computer-generated and physician-documented HPIs. The mean overall impression score for computer-generated HPIs was higher than physician HPIs (3.68 vs. 2.80; P<0.001), even after adjusting for physician and visit type, location, mode of transcription, and demographics. Computer-generated HPIs were also judged more complete (3.70 vs. 2.73; P<0.001), more useful (3.82 vs. 3.04; P<0.001), better organized (3.66 vs. 2.80; P<0.001), more succinct (3.55 vs. 3.17; P<0.001), and more comprehensible (3.66 vs. 2.97; P<0.001).

Conclusions: Computer-generated HPIs were of higher overall quality, better organized, and more succinct, comprehensible, complete, and useful compared with HPIs written by physicians during usual care in GI clinics.

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Conflict of interest statement

CONFLICT OF INTEREST

Potential Competing Interests:

None

Figures

Figure 1
Figure 1
Sample “heat map” patient report of GI PROMIS scores. Patients complete PROMIS items on My GI Health, and the results are converted into a symptom score visualization. Patients’ scores are compared to the general United States population with benchmarks to add interpretability to the scores, similar to a lab test.
Figure 2
Figure 2
Sample of a computer-generated history of present illness (HPI).
Figure 3
Figure 3
Scatterplot of number of active GI symptoms addressed in the physician HPI versus number of active GI symptoms reported through AEGIS. The diagonal line indicates concordance between HPIs. The yellow line is the ordinary least square result through the scatterplot, indicating a lower than expected correlation, with AEGIS capturing more active symptoms, on average, than physician HPIs.

References

    1. Blumenthal D. Launching HITECH. N Engl J Med. 2010;362:382–385. - PubMed
    1. Handler T, Holtmeier R, Metzger J, et al. HIMSS electronic health record definitional model version 1.0. The Healthcare Information and Management Systems Society (HIMSS) Electronic Health Record Committee; 2003.
    1. DesRoches CM, Charles D, Furukawa MF, et al. Adoption of electronic health records grows rapidly, but fewer than half of US hospitals had at least a basic system in 2012. Health Aff (Millwood) 2013;32:1478–1485. - PubMed
    1. Goldzweig CL, Towfigh A, Maglione M, et al. Costs and benefits of health information technology: new trends from the literature. Health Aff (Millwood) 2009;28:w282–w293. - PubMed
    1. van der Lei J, Moorman PW, Musen MA. Electronic patient records in medical practice: a multidisciplinary endeavor. Methods Inf Med. 1999;38:287–288. - PubMed

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