Leveraging American College of Obstetricians and Gynecologists Guidelines for Point-of-Care Decision Support in Obstetrics

Abstract

Background The American College of Obstetricians and Gynecologists (ACOG) provides numerous narrative documents containing formal recommendations and additional narrative guidance within the text. These guidelines are not intended to provide a complete “care pathway” for patient management, but these elements of guidance can be useful for clinical decision support (CDS) in obstetrical and gynecologic care and could be exposed within electronic health records (EHRs). Unfortunately, narrative guidelines do not easily translate into computable CDS guidance.

Objective This study aimed to describe a method of translating ACOG clinical guidance into clear, implementable items associated with specific obstetrical problems for integration into the EHR.

Methods To translate ACOG clinical guidance in Obstetrics into implementable CDS, we followed a set of steps including selection of documents, establishing a problem list, extraction and classification of recommendations, and assigning tasks to those recommendations.

Results Our search through ACOG clinical guidelines produced over 500 unique documents. After exclusions, and counting only sources relevant to obstetrics, we used 245 documents: 38 practice bulletins, 113 committee opinions, 16 endorsed publications, 1 practice advisory, 2 task force and work group reports, 2 patient education, 2 obstetric care consensus, 60 frequently asked questions (FAQ), 1 women's health care guidelines, 1 Prolog series, and 9 others (non-ACOG). Recommendations were classified as actionable (n = 576), informational (n = 493), for in-house summary (n = 124), education/counseling (n = 170), policy/advocacy (n = 33), perioperative care (n = 4), delivery recommendations (n = 50), peripartum care (n = 13), and non-ACOG (n = 25).

Conclusion We described a methodology of translating ACOG narrative into a semi-structured format that can be more easily applied as CDS in the EHR. We believe this work can contribute to developing a library of information within ACOG that can be continually updated and disseminated to EHR systems for the most optimal decision support. We will continue documenting our process in developing executable code for decision support.

Keywords

clinical decision support - obstetrics - medical informatics - electronic health records

Protection of Human and Animal Subjects

No human and/or animal subjects were included in this research.

Note

This publication was written under the direction of The American College of Obstetricians and Gynecologists Health Information Technology (Health IT) staff. All referenced content and materials were provided to the authors for purposes of further analysis in this publication. The methodology described in this publication is considered proprietary and is not intended for commercial consumption, promotion, or product development.

Publikationsverlauf

Eingereicht: 26. April 2021

Angenommen: 06. Juli 2021

Artikel online veröffentlicht:
01. September 2021

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