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

Summary

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.

Conditions

• Abdominal Pain
• Deglutition Disorders
• Fecal Incontinence
• Nausea
• Diarrhea
• Constipation
• Gastroesophageal Reflux

Interventions

OTHER

AEGIS (Automated Evaluation of Gastrointestinal Symptoms)

AEGIS (Automated Evaluation of Gastrointestinal Symptoms) guides patients through questionnaires to measure symptom attributes including the timing, severity, frequency, location, quality, and character of their gastrointestinal (GI) symptoms, along with relevant comorbidities, family history, and alarm features. This information is transformed into a history of present illness (HPI) written in language familiar to clinicians. AEGIS also supports both the clinician and patient with an individualized "education prescription" which guides the patient through a library of multi-media educational materials on GI symptoms, conditions, and treatments. The prescription is created by the portal based on each patient's unique AEGIS "fingerprint."

Sponsors & Collaborators

• Cedars-Sinai Medical Center

  lead OTHER

Study Design

Allocation

NON_RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2017-04-10

Primary Completion

2018-02-07

Completion

2018-02-07

Countries

• United States

Study Locations