cirpublications.com-99Zt-1790883434-y283179347 1790883434 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Health Informatics and Digital Systems J. Health Inform. Digit. Syst. 3149-8973 2026 6 1 Ethan Wright Chloe Bennett Jack Turner 2026 10.68159/y283179347 https://cirpublications.com/pub/journal/2/article/y283179347 Safavi KC, Khaniyev T, Copenhaver M, Seelen M, Zenteno-Langle AC, Zanger J, et al. Development and validation of a machine learning model to aid discharge processes for inpatient surgical care. JAMA Netw Open. 2019;2(12):e1917221. 10.1001/jamanetworkopen.2019.17221 McCoy TH Jr, Pellegrini AM, Perlis RH. Assessment of time-series machine learning methods for forecasting hospital discharge volume. JAMA Netw Open. 2018;1(7):e184087. 10.1001/jamanetworkopen.2018.4087 Levin S, Barnes S, Toerper M, Debraine A, DeAngelo A, Hamrock E, et al. Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length of stay. BMJ Innov. 2021;7(2):e000399. 10.1136/bmjinnov-2020-000399 Ahn I, Gwon H, Kang H, Kim Y, Seo H, Choi H, et al. Machine learning–based hospital discharge prediction for patients with cardiovascular diseases: development and usability study. JMIR Med Inform. 2021;9(11):e32662. 10.2196/32662 Bishop JA, Javed HA, El-Bouri R, Zhu T, Taylor T, Peto T, et al. Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge. PLoS One. 2021;16(11):e0260476. 10.1371/journal.pone.0260476 Sadel J, Grant NV, Burkhardt H, Kunze C. Optimizing hospital discharge planning: empirical insights and requirements of AI-based technologies from an explorative mixed methods field study. JMIR Form Res. 2026;10(1):e81824. 10.2196/81824 Karunanayake N. Next-generation agentic AI for transforming healthcare. Inform Health. 2025;2(2):73-83. Xu G, Li X, Chen Y, Duan Y, Wu S, Yu H, et al. A comprehensive survey of AI agents in healthcare. J Biomed Inform. 2026;157:105045. Mehandru N, Miao BY, Almaraz ER, Sushil M, Butte AJ, Alaa A. Evaluating large language models as agents in the clinic. NPJ Digit Med. 2024;7(1):84. 10.1038/s41746-024-01052-7 Tripathi S, Sukumaran R, Cook TS. Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care. J Am Med Inform Assoc. 2024;31(6):1436-40. Wei J, Zhou J, Zhang Z, Yuan K, Gu Q, Luk A, et al. Predicting individual patient and hospital-level discharge using machine learning. Commun Med (Lond). 2024;4(1):236. 10.1038/s43856-024-00620-5 Abdo A, Gallay L, Vallecillo T, Clarenne J, Quillet P, Vuiblet V, et al. A machine learning-based clinical predictive tool to identify patients at high risk of medication errors. Sci Rep. 2024;14(1):32022. 10.1038/s41598-024-32022-x Van De Sijpe G, Gijsen M, Van der Linden L, Strouven S, Simons E, Martens E, et al. A prediction model to identify clinically relevant medication discrepancies at the emergency department (MED-REC Predictor): development and validation study. J Med Internet Res. 2024;26:e55185. 10.2196/55185 Salgado-Baez E, Heidepriem R, Delucchi Danhier R, Rinaldi E, Ravi V, Poncette AS, et al. Toward interoperable digital medication records on Fast Healthcare Interoperability Resources: development and technical validation of a minimal core dataset. JMIR Med Inform. 2025;13:e64099. 10.2196/64099 Saripalle R, Runyan C, Russell M. Using HL7 FHIR to achieve interoperability in patient health record. J Biomed Inform. 2019;94:103188. 10.1016/j.jbi.2019.103188 Van Der Vegt AH, Scott IA, Dermawan K, Schnetler RJ, Kalke VR, Lane PJ. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. J Am Med Inform Assoc. 2023;30(9):1503-15. Soares A, Afshar M, Moesel C, Grasso MA, Pan E, Solomonides A, et al. Playing in the clinical decision support sandbox: tools and training for all. JAMIA Open. 2023;6(2):ooad038. Isabelle M, Ip IK, Bakhtin M, Schneider L, Raja AS, Dutta S, et al. Assessment of 3 standards-based clinical decision support tools in an academic electronic health record using Clinical Quality Language, CDS Hooks, and Fast Healthcare Interoperability Resources: a retrospective evaluation. JAMIA Open. 2025;8(4):ooaf085. Jiang Y, Black KC, Geng G, Park D, Zou J, Ng AY, et al. MedAgentBench: a virtual EHR environment to benchmark medical LLM agents. NEJM AI. 2025;2(9):AIdbp2500144. 10.1056/AIdbp2500144 Ando K, Okumura T, Komachi M, Horiguchi H, Matsumoto Y. Is artificial intelligence capable of generating hospital discharge summaries from inpatient records? PLOS Digit Health. 2022;1(12):e0000158. 10.1371/journal.pdig.0000158 Patel SB, Lam K. ChatGPT: the future of discharge summaries? Lancet Digit Health. 2023;5(3):e107-e108. 10.1016/S2589-7500(23)00023-7 Pavão J, Bastardo R, Rocha NP. A systematic review of the use of FHIR to support clinical research, public health and medical education. Data Technol Appl. 2025;59(1):134-54. 10.1108/DTA-2024-XXXX Williams CY, Subramanian CR, Ali SS, Apolinario M, Askin E, Barish P, et al. Physician- and large language model–generated hospital discharge summaries. JAMA Intern Med. 2025;185(7):818-25. 10.1001/jamainternmed.2025.1158 Ganzinger M, Kunz N, Fuchs P, Lyu CK, Loos M, Dugas M, et al. Automated generation of discharge summaries: leveraging large language models with clinical data. Sci Rep. 2025;15(1):16466. 10.1038/s41598-025-16466-x Farhat H, Makhlouf A, Gangaram P, El Aifa K, Howland I, Babay EP Rekik F, et al. Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques. PLoS One. 2024;19(5):e0301472. 10.1371/journal.pone.0301472 Hassan A, Benlamri R, Diner T, Cristofaro K, Dillistone L, Khallouki H, et al. An app for navigating patient transportation and acute stroke care in Northwestern Ontario using machine learning: retrospective study. JMIR Form Res. 2024;8(1):e54009. 10.2196/54009 Lee SY, Eagleson RM, Hearld LR, Gibson MJ, Hearld KR, Hall AG, et al. Leveraging machine learning to enhance appointment adherence at a novel post-discharge care transition clinic. JAMIA Open. 2024;7(4):ooae086. Rust P, Frings J, Meister S, Fehring L. Evaluation of a large language model to simplify discharge summaries and provide cardiological lifestyle recommendations. Commun Med (Lond). 2025;5(1):208. 10.1038/s43856-025-00824-1 Li W, Feng H, Hu C, Xu M, Cheng L. Accurate discharge summary generation using fine-tuned large language models with self-evaluation. Sci Rep. 2026;16(1).