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| http://dx.doi.org/10.1503/cmaj.109-4693 | DOI Listing |
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A Real-Time Dashboard Approach to Decision Support: An Exercise in Co-Design.
Stud Health Technol Inform
August 2024
Centre for Health Systems and Safety Research, Macquarie University, Australia.
Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error.
View Article and Find Full Text PDFEffect of School-Based Educational Intervention on Promoting Healthy Dietary Habits in Danish Schoolchildren: The FOODcamp Case Study.
Nutrients
June 2023
National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
The present study aimed to evaluate the effect of the school-based educational intervention "FOODcamp" on dietary habits among 6th-7th graders (aged 11-13 years), focusing on the food groups: fruits and vegetables, fish, meat, discretionary food, and sugar-sweetened beverages. In this cluster-based quasi-experimental controlled intervention study, 16 intervention classes (322 children) and 16 control classes (267 children) from nine schools were recruited during the school year 2019-2020. The children were asked to record their food intake for four consecutive days (Wednesday to Saturday) before (baseline) and after (follow-up) attending FOODcamp, using a validated self-administered web-based dietary record.
View Article and Find Full Text PDFOn the impact of predictive analytics-driven disease management interventions.
Am J Manag Care
December 2022
Texas A&M University, 212 Adriance Lab Rd, College Station, TX 77843. Email:
Objectives: To evaluate the effect of a predictive algorithm-driven disease management (DM) outreach program compared with non-predictive algorithm-driven DM program participation on health care spending and utilization.
Study Design: We used propensity score matching forMedicare Advantage members with chronic heart failure (CHF) to evaluate the impact of predictive algorithm-driven DM outreach using claims data from 2013 to 2018 from a large commercial health insurer.
Methods: The insurer ran a predictive algorithm to identify members with CHF with a high likelihood of hospitalization (LOH), and a DM outreach was initiated to those identified as being at high risk of hospitalization (high-LOH intervention group).
Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics-driven geriatric research.
J Am Geriatr Soc
February 2023
Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for heterogeneity. We present the results of a systematic review of data-driven, personalized interventions in older adults, which serves as a use case to distinguish the conceptual and methodologic differences between individualized intervention delivery and precision health-derived interventions.
View Article and Find Full Text PDFBackground: In-hospital deterioration among ward patients is associated with substantially increased adverse outcome rates. In 2013 Kaiser Permanente Northern California (KPNC) developed and implemented a predictive analytics-driven program, Advance Alert Monitor (AAM), to improve early detection and intervention for in-hospital deterioration. The AAM predictive model is designed to give clinicians 12 hours of lead time before clinical deterioration, permitting early detection and a patient goals-concordant response to prevent worsening.
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