VA Puget Sound Health Care System

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

Scott Lundberg, Bala G. Nair, Monica S. Vavilala et al.

2018 · 1.962 Zit.

Copying and pasting of examinations within the electronic medical record

Stephen Thielke, Kenric W. Hammond, Susan Helbig

2006 · 102 Zit.

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain

Wang-Chiew Tan, Saeed Hassanpour, Patrick J. Heagerty et al.

2018 · 86 Zit.

Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study

Yao Tong, Amanda I. Messinger, Adam Wilcox et al.

2021 · 46 Zit.

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes

Hannu Huhdanpaa, Wang-Chiew Tan, Sean D. Rundell et al.

2017 · 44 Zit.

Using Predictive Analytics to Guide Patient Care and Research in a National Health System

Karin M. Nelson, Evelyn T. Chang, Donna M. Zulman et al.

2019 · 40 Zit.

Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery

Scott Lundberg, Bala G. Nair, Monica S. Vavilala et al.

2017 · 35 Zit.

Contemporary Clinical and Coronary Anatomic Risk Model for 30-Day Mortality After Percutaneous Coronary Intervention

Jacob A. Doll, Colin I. O’Donnell, Meg E. Plomondon et al.

2021 · 21 Zit.

Building Clinical Simulations With ChatGPT in Nursing Education

Jason A. Reid

2024 · 16 Zit.

Assessing Electronic Health Record (EHR) Use during a Major EHR Transition: An Innovative Mixed Methods Approach

Brianne Molloy-Paolillo, David C. Mohr, Deborah R Levy et al.

2023 · 12 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.

Evaluation of machine learning models as decision aids for anesthesiologists

Mihir Velagapudi, Akira A. Nair, Wyndam Strodtbeck et al.

2022 · 7 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.

“For the first time…I am seriously fighting burnout”: clinician experiences with a challenging electronic health record transition

Sherry L. Ball, Justin M. Rucci, Brianne Molloy-Paolillo et al.

2024 · 5 Zit.

User Experiences of Transitioning From a Homegrown Electronic Health Record to a Vendor-Based Product in the Department of Veterans Affairs: Qualitative Findings From a Mixed Methods Evaluation

Ekaterina Anderson, Megan Moldestad, Julian Brunner et al.

2024 · 5 Zit.