Evaluating the Impact of Automated Evaluation of Gastrointestinal Symptoms (AEGIS) on Clinical Outcomes

Healthcare delivery now mandates shorter visits with higher documentation requirements,
undermining the patient-provider interaction. Electronic health records (EHRs) have the
potential to improve outcomes and quality of care in this pressured environment, and are
endorsed by the Patient Protection and Affordable Care Act (ACA) and Health Information
Technology for Economic and Clinical Health (HITECH) Act as an important mechanism to support
value-based healthcare. However, EHR systems were principally designed to support the
transactional needs of administrators and billers, less so to nurture the relationship
between patients and their providers. The purpose of this research is to identify ways to use
EHRs to support clinical gastroenterologists and their patients while meeting the meaningful
use requirements of the HITECH Act.

To improve clinic visit efficiency and meet criteria for meaningful use, investigators
developed a patient-provider portal (P3) that systematically collects patient symptoms using
a computer algorithm called Automated Evaluation of Gastrointestinal Symptoms (AEGIS). AEGIS
utilizes computerized adaptive testing (CAT) to guide patients through questions drawn from a
library of over 300 symptom attributes measuring the timing, severity, frequency, location,
quality, and character of their GI symptoms, along with relevant comorbidities, family
history, and alarm features. The system then automatically "translates" the patient report
into a full narrative HPI available for use by GI providers in an EHR.

In a cross-sectional study in the American Journal of Gastroenterology comparing AEGIS versus
physician-documented HPIs, investigators found that blinded physician reviewers perceived
that AEGIS HPIs were of higher overall quality, better organized, and more succinct,
comprehensible, complete and useful compared to HPIs written by physicians during usual care
in academic GI clinics. In the current study, investigators aim to evaluate
computer-generated HPIs prospectively on a wider scale in diverse academic and
community-based settings. Moreover, investigators aim to test an enhanced AEGIS intervention
that ties patient HPIs to an individualized "education prescription" which guides the patient
through a library of multi-media educational materials on GI symptoms, conditions, and
treatments.