cirpublications.com-yzc9-1790880684-g844604585 1790880684 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 Rashid Al-Mahdi Khalifa Al-Suwaidi Mariam Al-Kuwari 2026 10.68159/g844604585 https://cirpublications.com/pub/journal/2/article/g844604585 Franklin A, Gantela S, Shifarraw S, Johnson TR, Robinson DJ, King BR, et al. Dashboard visualizations: supporting real-time throughput decision-making. J Biomed Inform. 2017;71:211-21. Brown A. Understanding corporate governance of healthcare quality: a comparative case study of eight Australian public hospitals. BMC Health Serv Res. 2019;19(1):725. Rabiei R, Almasi S. Requirements and challenges of hospital dashboards: a systematic literature review. BMC Med Inform Decis Mak. 2022;22(1):287. Xie CX, Chen Q, Hincapié CA, Hofstetter L, Maher CG, Machado GC. Effectiveness of clinical dashboards as audit and feedback or clinical decision support tools on medication use and test ordering: a systematic review of randomized controlled trials. J Am Med Inform Assoc. 2022;29(10):1773-85. Helminski D, Kurlander JE, Renji AD, Sussman JB, Pfeiffer PN, Conte ML, et al. Dashboards in health care settings: protocol for a scoping review. JMIR Res Protoc. 2022;11(3):e34894. Helminski D, Sussman JB, Pfeiffer PN, Kokaly AN, Ranusch A, Renji AD, et al. Development, implementation, and evaluation methods for dashboards in health care: scoping review. JMIR Med Inform. 2024;12(1):e59828. Fong A, Harriott N, Walters DM, Foley H, Morrissey R, Ratwani RR. Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events. Int J Med Inform. 2017;104:120-5. Wang Y, Coiera E, Runciman W, Magrabi F. Using multiclass classification to automate the identification of patient safety incident reports by type and severity. BMC Med Inform Decis Mak. 2017;17(1):84. Young IJ, Luz S, Lone N. A systematic review of natural language processing for classification tasks in incident reporting and adverse event analysis. Int J Med Inform. 2019;132:103971. Tabaie A, Sengupta S, Pruitt ZM, Fong A. A natural language processing approach to categorise contributing factors from patient safety event reports. BMJ Health Care Inform. 2023;30(1):e100731. Scott J, Dawson P, Heavey E, De Brún A, Buttery A, Waring J, et al. Content analysis of patient safety incident reports for older adult patient transfers, handovers, and discharges: do they serve organizations, staff, or patients? J Patient Saf. 2021;17(8):e1744-58. Siette J, Dodds L, Sharifi F, Nguyen A, Baysari M, Seaman K, et al. Usability and acceptability of clinical dashboards in aged care: systematic review. JMIR Aging. 2023;6:e42274. Singhal K, Azizi S, Tu T, Mahdavi SS, Wei J, Chung HW, et al. Large language models encode clinical knowledge. Nature. 2023;620(7972):172-80. Yang R, Zeng Q, You K, Qiao Y, Huang L, Hsieh CC, et al. Ascle—a Python natural language processing toolkit for medical text generation: development and evaluation study. J Med Internet Res. 2024;26:e60601. Lu Z, Peng Y, Cohen T, Ghassemi M, Weng C, Tian S. Large language models in biomedicine and health: current research landscape and future directions. J Am Med Inform Assoc. 2024;31(9):1801-11. Tian S, Jin Q, Yeganova L, Lai PT, Zhu Q, Chen X, et al. Opportunities and challenges for ChatGPT and large language models in biomedicine and health. Brief Bioinform. 2024;25(1):bbad493. Aali A, Van Veen D, Arefeen YI, Hom J, Bluethgen C, Reis EP, et al. A dataset and benchmark for hospital course summarization with adapted large language models. J Am Med Inform Assoc. 2025;32(3):470-9. Bednarczyk L, Reichenpfader D, Gaudet-Blavignac C, Ette AK, Zaghir J, Zheng Y, et al. Scientific evidence for clinical text summarization using large language models: scoping review. J Med Internet Res. 2025;27:e68998. 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. Thanasas GL, Tatsi K, Koutoupis AG, Davidopoulos LG, Ploumpis IC. Health and Clinical Governance: A systematic literature review. Rev Eur Stud. 2023;15:44. Yang R, Ning Y, Keppo E, Liu M, Hong C, Bitterman DS, et al. Retrieval-augmented generation for generative artificial intelligence in health care. NPJ Health Syst. 2025;2(1):2. Oniani D, Hilsman J, Peng Y, Poropatich RK, Pamplin JC, Legault GL, et al. Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. NPJ Digit Med. 2023;6(1):225. Chen Y, Esmaeilzadeh P. Generative AI in medical practice: in-depth exploration of privacy and security challenges. J Med Internet Res. 2024;26:e53008. Ning Y, Teixayavong S, Shang Y, Savulescu J, Nagaraj V, Miao D, et al. Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist. Lancet Digit Health. 2024;6(11):e848-56. Moulaei K, Yadegari A, Baharestani M, Farzanbakhsh S, Sabet B, Afrash MR. Generative artificial intelligence in healthcare: a scoping review on benefits, challenges and applications. Int J Med Inform. 2024;188:105474. Lee K, Jung SY, Hwang H, Yoo S, Baek HY, Baek RM, et al. A novel concept for integrating and delivering health information using a comprehensive digital dashboard: analysis of healthcare professionals' intention to adopt a new system and trend of its real usage. Int J Med Inform. 2017;97:98-108. Denecke K, Paula H. Analysis of critical incident reports using natural language processing. In: IndHealth 2024. 2024:1-6. Coiera E, Chan A, Brooke-Cowden K, Rahimi-Ardabili H, Halim N, Tufanaru C. Clinical and economic impact of digital dashboards on hospital inpatient care: a systematic review. JAMIA Open. 2025;8(4):ooaf078. De Micco F, Di Palma G, Ferorelli D, De Benedictis A, Tomassini L, Tambone V, et al. Artificial intelligence in healthcare: transforming patient safety with intelligent systems—a systematic review. Front Med (Lausanne). 2025;11:1522554.