Appl Clin Inform 2024; 15(03): 528-532
DOI: 10.1055/s-0044-1787648
Invited Editorial

Social Media's Lessons for Clinical Decision Support: Strategies to Improve Engagement and Acceptance

Christopher Sova
1   Infection Prevention and Hospital Epidemiology, Duke University Hospital, Durham, North Carolina, United States
Eric Poon
2   Duke Health Technology Services, Durham, North Carolina, United States
Robert Clayton Musser
3   Department of Medicine, Duke University Health System, Durham, North Carolina, United States
Anand Chowdhury
4   Pulmonary, Allergy and Critical Care Medicine, Duke University School of Medicine, Durham, North Carolina, United States
› Author Affiliations


Clinical decision support systems (CDSSs) are an important feature within modern electronic health records (EHRs). There are currently two main ways that CDSSs work: (1) knowledge-based CDSS, which applies if-then rules to generate an output, and (2) non-knowledge-based CDSS, which utilizes machine-learning technology rather than expert medical knowledge to analyze data such as user-generated content from patient interactions to enhance decision making.[1] [2] Used appropriately, CDSS can improve processes of care and reduce costs in health care.[3] Despite their utility, these tools create challenges because of workflow disruption, alert fatigue, and cognitive overload.[4]

Social media platforms are ubiquitous and have combined behavioral economics, neuroscience, design, and marketing with data mining to engage users and influence behavior.[5] [6] [7] [8] [9] Platforms such as Facebook and TikTok use complex recommender systems that analyze user data to provide personalized recommendations to reduce information overload of the users.[10] Other authors have explored components of social media's arsenal, especially population-based strategies and behavioral economics.[11]

In this article, we explore two social media principles, microsegmentation and A/B testing, that could be applied to current-day systems to improve engagement and acceptance of CDSS among clinicians.

Publication History

Article published online:
03 July 2024

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