title: Expected value prioritization of prompts and reminders.
abstract: Computer-based prompting and reminder systems have been shown to be highly effective in increasing rates of preventive services delivery. However, there are many more recommended preventive services than can be practically included in a typical clinic visit. Therefore prioritization of preventive services prompts is necessary. We describe two approaches to prioritizing preventive services prompts based on expected value decision making. One method involves a static, global prioritization across all preventive services and has been used in a production system for almost 7 years. The second method uses influence diagrams to prioritize prompts dynamically, based on individual patient data. The latter approach is still under development. Both methods are labor intensive and require a combination of epidemiologic data and expert judgment. Compromises in strictly normative process were necessary to achieve user satisfaction.
authors.affiliation: Children's Health Services, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA.
authors.forename: Stephen M
authors.initials: SM
authors.lastname: Downs
authors.forename: Hasmet
authors.initials: H
authors.lastname: Uner
mesh_terms: D001185:Artificial Intelligence; D002648:Child; D003658:Decision Making, Computer-Assisted; D006801:Humans; D010372:Pediatrics; D019095:Point-of-Care Systems; D017410:Practice Guidelines as Topic; D011314:Preventive Health Services; D017010:Reminder Systems