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Keith Morse
Keith Morse
Clinical Assistant Professor, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Use characteristics and triage acuity of a digital symptom checker in a large integrated health system: population-based descriptive study
KE Morse, NP Ostberg, VG Jones, AS Chan
Journal of medical Internet research 22 (11), e20549, 2020
492020
Assessment of prevalence of adolescent patient portal account access by guardians
W Ip, S Yang, J Parker, A Powell, J Xie, K Morse, RC Aikens, J Lee, M Gill, ...
JAMA Network Open 4 (9), e2124733-e2124733, 2021
352021
Estimate the hidden deployment cost of predictive models to improve patient care
KE Morse, SC Bagley, NH Shah
Nature medicine 26 (1), 18-19, 2020
252020
Assessment of adherence to reporting guidelines by commonly used clinical prediction models from a single vendor: a systematic review
JH Lu, A Callahan, BS Patel, KE Morse, D Dash, MA Pfeffer, NH Shah
JAMA network open 5 (8), e2227779-e2227779, 2022
212022
Ensuring adolescent patient portal confidentiality in the age of the cures act final rule
J Xie, T McPherson, A Powell, P Fong, A Hogan, W Ip, K Morse, ...
Journal of Adolescent Health 69 (6), 933-939, 2021
212021
A survey of extant organizational and computational setups for deploying predictive models in health systems
S Kashyap, KE Morse, B Patel, NH Shah
Journal of the American Medical Informatics Association 28 (11), 2445-2450, 2021
192021
Medalign: A clinician-generated dataset for instruction following with electronic medical records
SL Fleming, A Lozano, WJ Haberkorn, JA Jindal, EP Reis, R Thapa, ...
arXiv preprint arXiv:2308.14089, 2023
182023
User-centred design for machine learning in health care: a case study from care management
MG Seneviratne, RC Li, M Schreier, D Lopez-Martinez, BS Patel, ...
BMJ Health & Care Informatics 29 (1), 2022
92022
Low adherence to existing model reporting guidelines by commonly used clinical prediction models
JH Lu, A Callahan, BS Patel, KE Morse, D Dash, NH Shah
MedRXiv, 2021.07. 21.21260282, 2021
92021
Using aggregate patient data at the bedside via an on-demand consultation service
A Callahan, S Gombar, EM Cahan, K Jung, E Steinberg, V Polony, ...
NEJM Catalyst Innovations in Care Delivery 2 (10), 2021
82021
Quantifying discharge medication reconciliation errors at 2 pediatric hospitals
KE Morse, WA Chadwick, W Paul, W Haaland, NM Pageler, R Tarrago
Pediatric Quality & Safety 6 (4), e436, 2021
82021
Hospital-level variation in practice patterns and patient outcomes for pediatric patients hospitalized with functional constipation
J Librizzi, S Flores, K Morse, K Kelleher, J Carter, R Bode
Hospital pediatrics 7 (6), 320-327, 2017
82017
Assessing the potential of USMLE-like exam questions generated by GPT-4
SL Fleming, K Morse, A Kumar, CC Chiang, B Patel, E Brunskill, N Shah
medRxiv, 2023.04. 25.23288588, 2023
72023
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
LL Guo, KE Morse, C Aftandilian, E Steinberg, J Fries, J Posada, ...
BMC Medical Informatics and Decision Making 24 (1), 51, 2024
32024
A natural language processing model to identify confidential content in adolescent clinical notes
N Rabbani, M Bedgood, C Brown, E Steinberg, RL Goldstein, JL Carlson, ...
Applied Clinical Informatics 14 (03), 400-407, 2023
32023
The prevalence of confidential content in adolescent progress notes prior to the 21st Century Cures Act information blocking mandate
M Bedgood, N Rabbani, C Brown, R Goldstein, JL Carlson, E Steinberg, ...
Applied Clinical Informatics 14 (02), 337-344, 2023
32023
MedAlign: a clinician-generated dataset for instruction following with electronic medical records
SL Fleming, A Lozano, WJ Haberkorn, JA Jindal, E Reis, R Thapa, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22021 …, 2024
22024
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
V Lorman, H Razzaghi, X Song, K Morse, L Utidjian, AJ Allen, S Rao, ...
PloS one 18 (8), e0289774, 2023
22023
Monitoring approaches for a pediatric chronic kidney disease machine learning model
KE Morse, C Brown, S Fleming, I Todd, A Powell, A Russell, D Scheinker, ...
Applied Clinical Informatics 13 (02), 431-438, 2022
22022
Learning competing risks across multiple hospitals: one-shot distributed algorithms
D Zhang, J Tong, N Jing, Y Yang, C Luo, Y Lu, DA Christakis, D Güthe, ...
Journal of the American Medical Informatics Association 31 (5), 1102-1112, 2024
12024
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