Health Services Research & Development
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles
Tsung-Ting Kuo, Rodney A. Gabriel, Lucila Ohno‐Machado
2018 · 69 Zit.
Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study
Adam Wright, Dean F. Sittig, Joan S. Ash et al.
2015 · 53 Zit.
Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed
Ashley N. D. Meyer, Chris Longhurst, Hardeep Singh
2016 · 53 Zit.
Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record
Rahul C. Deo, Brahmajee K. Nallamothu
2016 · 49 Zit.
Clinical applications of artificial intelligence and machine learning‐based methods in inflammatory bowel disease
Shirley Cohen‐Mekelburg, Sameer Berry, Ryan W. Stidham et al.
2021 · 20 Zit.
“Everything’s so Role-Specific”: VA Employee Perspectives’ on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities
Ellen A. Ahlness, Jay D. Orlander, Julian Brunner et al.
2023 · 15 Zit.
Methodologic Guidance and Expectations for the Development and Reporting of Prediction Models and Causal Inference Studies
Michael O. Harhay, David H. Au, Sharon Dell et al.
2020 · 10 Zit.
A Participant-Centered Approach to Understanding Risks and Benefits of Participation in Research Informed by the Kidney Precision Medicine Project
Catherine R. Butler, Paul S. Appelbaum, Heather Ascani et al.
2021 · 6 Zit.
Enhanced Identification of Hispanic Ethnicity Using Clinical Data
Pedro Ochoa‐Allemant, Janet P. Tate, Emily C. Williams et al.
2023 · 3 Zit.
Artificial Intelligence in Clinical Decisions Support for Stroke: Balancing Opportunity With Caution
Dawn M. Bravata, Annemarei Ranta
2023 · 3 Zit.
PCV76 IDENTIFYING KNOWLEDGE GAPS IN HEART FAILURE (HF) RESEARCH AMONG WOMEN USING UNSUPERVISED MACHINE LEARNING METHODS
Khalid Alhussain, Kazuhiko Kido, Nilanjana Dwibedi et al.
2020 · 0 Zit.
The Use of Automated Tools in the Electronic Health Record Can Enhance Clinical Care and Humanism in Medicine
Diane Kuhn, Michael Weiner
2023 · 0 Zit.