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 | 62 | 2020 |
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 | 58 | 2024 |
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 | 44 | 2021 |
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 | 39 | 2022 |
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 | 29 | 2020 |
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 | 28 | 2021 |
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 | 25 | 2021 |
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 | 17 | 2021 |
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), e100656, 2022 | 14 | 2022 |
Standing on FURM ground: a framework for evaluating fair, useful, and reliable AI models in health care systems A Callahan, D McElfresh, JM Banda, G Bunney, D Char, J Chen, ... NEJM Catalyst Innovations in Care Delivery 5 (10), CAT. 24.0131, 2024 | 13 | 2024 |
Assessing the potential of USMLE-like exam questions generated by GPT-4 SL Fleming, K Morse, A Kumar, C Chiang, B Patel, E Brunskill, N Shah | 11 | 2023 |
A multi-center study on the adaptability of a shared foundation model for electronic health records LL Guo, J Fries, E Steinberg, SL Fleming, K Morse, C Aftandilian, ... NPJ Digital Medicine 7 (1), 171, 2024 | 10 | 2024 |
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 | 10 | 2021 |
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 | 10 | 2021 |
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 | 9 | 2017 |
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 | 8 | 2024 |
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 | 7 | 2023 |
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 | 6 | 2024 |
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks J Lemmon, LL Guo, E Steinberg, KE Morse, SL Fleming, C Aftandilian, ... Journal of the American Medical Informatics Association 30 (12), 2004-2011, 2023 | 5 | 2023 |
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 | 5 | 2023 |