Publications by authors named "S P Narus"
Unlabelled: Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals.
Objective: The aim of this study was to design and implement a scalable standards-based clinical decision support (CDS) approach to identify patient cohorts for PHM and maximize opportunities for multi-site dissemination.
Article Synopsis
- The initiative aims to make health care better by using advanced technology in electronic health records (EHRs).
- A strong team was formed and a clear plan was made to develop tools that help health care providers and improve patient care.
- Since its launch in 2016, the project has led to over 10 useful digital innovations, resulting in happier users, better care, and earning more than $35 million in funding.
Clinicians from different care settings can distort the problem list from conveying a patient's actual health status, affecting quality and patient safety. To measure this effect, a reference standard was built to derive a problem-list based model. Real-world problem lists were used to derive an ideal categorization cutoff score.
View Article and Find Full Text PDFBackground: Children with cancer have difficulty identifying and describing the multiple symptoms they experience during hospitalization and between clinical encounters. Mobile health resources, including apps, are potential solutions to support child-centric symptom reporting. This study evaluated the feasibility and acceptability of a newly developed game-based symptom-reporting app for school-age children with cancer.
View Article and Find Full Text PDFObjective: To identify factors contributing to changes on quality, productivity, and safety outcomes during a large commercial electronic health record (EHR) implementation and to guide future research.
Methods: We conducted a mixed-methods study assessing the impact of a commercial EHR implementation. The method consisted of a quantitative longitudinal evaluation followed by qualitative semi-structured, in-depth interviews with clinical employees from the same implementation.