User stories as lightweight requirements for agile clinical decision support development

Author:

Kannan Vaishnavi12,Basit Mujeeb A13,Bajaj Puneet3,Carrington Angela R2,Donahue Irma B2,Flahaven Emily L1,Medford Richard13,Melaku Tsedey4,Moran Brett A34,Saldana Luis E5,Willett Duwayne L13ORCID,Youngblood Josh E2,Toomay Seth M16

Affiliation:

1. Clinical Informatics, University of Texas Southwestern Health System, Dallas, Texas, USA

2. Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, USA

3. Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA

4. Clinical Informatics, Parkland Health and Hospital System, Dallas, Texas, USA

5. Clinical Informatics, Texas Health Resources, Arlington, Texas, USA

6. Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA

Abstract

AbstractObjectiveWe sought to demonstrate applicability of user stories, progressively elaborated by testable acceptance criteria, as lightweight requirements for agile development of clinical decision support (CDS).Materials and MethodsUser stories employed the template: As a [type of user], I want [some goal] so that [some reason]. From the “so that” section, CDS benefit measures were derived. Detailed acceptance criteria were elaborated through ensuing conversations. We estimated user story size with “story points,” and depicted multiple user stories with a use case diagram or feature breakdown structure. Large user stories were split to fit into 2-week iterations.ResultsOne example user story was: As a rheumatologist, I want to be advised if my patient with rheumatoid arthritis is not on a disease-modifying anti-rheumatic drug (DMARD), so that they receive optimal therapy and can experience symptom improvement. This yielded a process measure (DMARD use), and an outcome measure (Clinical Disease Activity Index). Following implementation, the DMARD nonuse rate decreased from 3.7% to 1.4%. Patients with a high Clinical Disease Activity Index improved from 13.7% to 7%. For a thromboembolism prevention CDS project, diagrams organized multiple user stories.DiscussionUser stories written in the clinician’s voice aid CDS governance and lead naturally to measures of CDS effectiveness. Estimation of relative story size helps plan CDS delivery dates. User stories prove to be practical even on larger projects.ConclusionsUser stories concisely communicate the who, what, and why of a CDS request, and serve as lightweight requirements for agile development to meet the demand for increasingly diverse CDS.

Funder

National Center for Advancing Translational Sciences

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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3. Improving Outcomes with Clinical Decision Support

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