John F Hurdle
Biographic Data
| ID | 6763996 |
|---|---|
| NAME | John F Hurdle |
| GIVEN NAMES | John F |
| FAMILY NAME | Hurdle |
| SIGNATURE | HURDLE J F |
| AFFILIATIONS | University of Utah |
| ORCID | 0000-0002-1188-7685 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications
Using Natural Language Processing to Identify Key Values in Internal Medicine-Pediatrics Residency Applications
Purpose: Recruitment of excellent medical residents is a priority for all residency programs, but studies suggest traditional quantitative evaluation poorly predicts resident performance. Furthermore, current metrics have been found to be socioeconomically and racially biased. Several organizations including the Association of American Medical Colleges (AAMC) have urged adoption of holistic review to consider the whole applicant in relation to a …
An Analysis of Information Technology Adoption by IRBs of Large Academic Medical Centers in the United States
The clinical research landscape has changed dramatically in recent years in terms of both volume and complexity. This poses new challenges for Institutional Review Boards' (IRBs) review efficiency and quality, especially at large academic medical centers. This article discusses the technical facets of IRB modernization. We analyzed the information technology used by IRBs in large academic institutions across the United States. We found that large…
No prominent works on this page.
An Analysis of Information Technology Adoption by IRBs of Large Academic Medical Centers in the United States
The clinical research landscape has changed dramatically in recent years in terms of both volume and complexity. This poses new challenges for Institutional Review Boards' (IRBs) review efficiency and quality, especially at large academic medical centers. This article discusses the technical facets of IRB modernization. We analyzed the information technology used by IRBs in large academic institutions across the United States. We found that large…
Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications
Using Natural Language Processing to Identify Key Values in Internal Medicine-Pediatrics Residency Applications
Purpose: Recruitment of excellent medical residents is a priority for all residency programs, but studies suggest traditional quantitative evaluation poorly predicts resident performance. Furthermore, current metrics have been found to be socioeconomically and racially biased. Several organizations including the Association of American Medical Colleges (AAMC) have urged adoption of holistic review to consider the whole applicant in relation to a …
Artificial Intelligence (2 works) · Computer Science (2 works) · Diversity and Career in Medicine (2 works) · Medical education (2 works) · Medicine (2 works) · MEDLINE (2 works) · Political science (2 works) · Psychology (2 works) · Social Psychology (2 works) · Teamwork (2 works)