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Brian Wells
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2020 – today
- 2024
- [i1]Brian S. Freeman, Kendall Arriola, Dan Cottell, Emmett Lawlor, Matt Erdman, Trevor Sutherland, Brian Wells:
Evaluation of Task Specific Productivity Improvements Using a Generative Artificial Intelligence Personal Assistant Tool. CoRR abs/2409.14511 (2024) - 2021
- [c7]Franck Diaz-Garelli, Andrew M. Long, Michael P. Bancks, Alain G. Bertoni, Adhithya Narayanan, Brian Wells:
Developing a Data Quality Standard Primer for Cardiovascular Risk Assessment from Electronic Health Record Data Using the DataGauge Process. AMIA 2021 - [c6]Kala S. Wilson, Brian Wells, Jyoti Gangur, Kristin M. Lenoir, Maria E. Mayorga, Franck Diaz-Garelli:
Exploring EHR Diagnosis Recording Pattern Changes During a Pandemic. AMIA 2021 - 2020
- [c5]Franck Diaz-Garelli, Kristin M. Lenoir, Brian Wells:
Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR. AMIA 2020 - [c4]Franck Diaz-Garelli, Kristin M. Lenoir, Brian Wells:
Catching Hidden Acute Events in Structured Diabetes Diagnosis Descriptions. AMIA 2020
2010 – 2019
- 2019
- [c3]Martin S. Kohn, Umit Topaloglu, Metin N. Gurcan, Brian Wells, Ajay Dharod:
Developing Biomedical Informatics Capability to Support Learning Health System: Challenges and Potential Solutions. AMIA 2019 - 2017
- [c2]Kristin M. Lenoir, Michael Horvath, Brian Ostasiewski, Wendell Futrell, Brian Wells:
Supplementing Electronic Health Records with Census Data to support Clinical Research Informatics. CRI 2017 - [c1]Brian Wells, Kristin M. Lenoir, Kelly L. Kuykendall, Ajay Dharod:
A Method for Using Electronic Health Record Data to Predict Admission Risk. CRI 2017
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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