{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T03:57:10Z","timestamp":1774411030133,"version":"3.50.1"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T00:00:00Z","timestamp":1714953600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T00:00:00Z","timestamp":1714953600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Artif Intell"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The management of medications is a crucial component of healthcare, and pharmaceutical errors can have detrimental effects on patients, healthcare professionals, and healthcare systems. By utilizing patient-specific data and cutting-edge technology like the Internet of Medical Things (IoMT) and machine learning, customized drug management systems have the potential to increase patient safety and healthcare effectiveness. In this study, we reviewed a large body of literature on the subject of medication management in healthcare and the potential advantages of personalized medication management. We then assessed how IoMT and machine learning might be used to enhance medication management in smart hospitals. Then, we created a framework for assessing how personalized medication management utilizing IoMT and machine learning affects patient safety and healthcare effectiveness. Our study's findings demonstrate that in smart hospitals, tailored medication management with IoMT and machine learning can drastically lower medication errors while also enhancing patient safety and healthcare effectiveness. Our findings have important ramifications for the future of medication administration in smart hospitals, and we advise healthcare professionals and policymakers to give priority to integrating cutting-edge technology like IoMT and machine learning for customized medication management.<\/jats:p>","DOI":"10.1007\/s44163-024-00128-1","type":"journal-article","created":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T16:01:56Z","timestamp":1715011316000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Transforming healthcare delivery: next-generation medication management in smart hospitals through IoMT and ML"],"prefix":"10.1007","volume":"4","author":[{"given":"Soha","family":"Rawas","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,6]]},"reference":[{"issue":"1","key":"128_CR1","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1097\/JCE.0000000000000560","volume":"48","author":"C Brown Jr","year":"2023","unstructured":"Brown C Jr, Waheed S. Benefits of healthcare technology management input in medical product safety network reports case review. J Clin Eng. 2023;48(1):36\u20138.","journal-title":"J Clin Eng."},{"key":"128_CR2","doi-asserted-by":"publisher","first-page":"46","DOI":"10.12688\/f1000research.126963.1","volume":"12","author":"P Kordel","year":"2023","unstructured":"Kordel P, et al. Analysis of 10 years of medical errors investigated by the Poznan University forensic medicine department. F1000Research. 2023;12:46.","journal-title":"F1000Research"},{"key":"128_CR3","unstructured":"Sand\u00e9n M. Implementation of a conceptual computational model to estimate the delay time in drug delivery to reduce medication errors in pediatric emergency care. 2023."},{"key":"128_CR4","volume-title":"Distributed computing and artificial intelligence, special sessions, 19th international conference","author":"I Dhaini","year":"2023","unstructured":"Dhaini I, Rawas S, El-Zaart A. An intelligent and green e-healthcare model for an early diagnosis of medical images as an IoMT application. In: Machado JM, Chamoso P, Hern\u00e1ndez G, Bocewicz G, Loukanova R, Jove E, del Martin Rey A, Ricca M, editors. Distributed computing and artificial intelligence, special sessions, 19th international conference. Cham: Springer International Publishing; 2023."},{"issue":"2","key":"128_CR5","first-page":"103","volume":"3","author":"M Fathallah Mostafa","year":"2023","unstructured":"Fathallah Mostafa M, IbrahemAboseada A, Sayed S E. Medication administration errors and barriers to reporting: critical care nurses\u2019 point of view. Int Egypt J Nurs Sci Res. 2023;3(2):103\u201321.","journal-title":"Int Egypt J Nurs Sci Res"},{"key":"128_CR6","doi-asserted-by":"publisher","DOI":"10.1002\/9781119771982.ch10","author":"A Sharma","year":"2022","unstructured":"Sharma A, Malviya R, Gupta R. Big data analytics in healthcare. Cogn Intell Big Data Healthc. 2022. https:\/\/doi.org\/10.1002\/9781119771982.ch10.","journal-title":"Cogn Intell Big Data Healthc"},{"issue":"1","key":"128_CR7","doi-asserted-by":"publisher","first-page":"3","DOI":"10.4258\/hir.2022.28.1.3","volume":"28","author":"H Kwon","year":"2022","unstructured":"Kwon H, et al. Review of smart hospital services in real healthcare environments. Healthc Inform Res. 2022;28(1):3\u201315.","journal-title":"Healthc Inform Res."},{"key":"128_CR8","first-page":"1","volume-title":"Global patient safety challenge: medication without harm","author":"World Health Organization","year":"2017","unstructured":"World Health Organization. Global patient safety challenge: medication without harm. Geneva: World Health Organization; 2017. p. 1\u201316."},{"key":"128_CR9","volume-title":"Medical error. StatPearls","author":"N Carver","year":"2022","unstructured":"Carver N, Vikas G, Hipskind JE. Medical error. StatPearls. Treasure Island: StatPearls Publishing; 2022."},{"key":"128_CR10","doi-asserted-by":"publisher","first-page":"116434","DOI":"10.1016\/j.eswa.2021.116434","volume":"193","author":"M Ciampi","year":"2022","unstructured":"Ciampi M, et al. An intelligent environment for preventing medication errors in home treatment. Exp Syst Appl. 2022;193:116434.","journal-title":"Exp Syst Appl"},{"key":"128_CR11","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2022.2089085","author":"O Oyebode","year":"2022","unstructured":"Oyebode O, et al. Machine learning techniques in adaptive and personalized systems for health and wellness. Int J Hum Comput Interact. 2022. https:\/\/doi.org\/10.1080\/10447318.2022.2089085.","journal-title":"Int J Hum Comput Interact"},{"key":"128_CR12","doi-asserted-by":"publisher","DOI":"10.1002\/cai2.37","author":"H Ge","year":"2022","unstructured":"Ge H, et al. Applications of digital medicine in oncology: prospects and challenges. Cancer Innov. 2022. https:\/\/doi.org\/10.1002\/cai2.37.","journal-title":"Cancer Innov"},{"issue":"3","key":"128_CR13","doi-asserted-by":"publisher","DOI":"10.33448\/rsd-v12i3.40425","volume":"12","author":"LF Cocian","year":"2023","unstructured":"Cocian LF, Morales AS, Schneider IJ. Internet of Things as support to reduce hospital errors related to medication administration. Res Soc Dev. 2023;12(3): e6312340425.","journal-title":"Res Soc Dev"},{"issue":"5","key":"128_CR14","doi-asserted-by":"publisher","DOI":"10.2196\/34906","volume":"6","author":"T Patel","year":"2022","unstructured":"Patel T, et al. An in-home medication dispensing system to support medication adherence for patients with chronic conditions in the community setting: prospective observational pilot study. JMIR Form Res. 2022;6(5): e34906.","journal-title":"JMIR Form Res"},{"key":"128_CR15","doi-asserted-by":"publisher","first-page":"1066547","DOI":"10.1155\/2023\/1066547","volume":"2023","author":"MW Bhatt","year":"2023","unstructured":"Bhatt MW, Sharma S. An IoMT-based approach for real-time monitoring using wearable neuro-sensors. J Healthc Eng. 2023;2023:1066547.","journal-title":"J Healthc Eng"},{"issue":"2","key":"128_CR16","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.jobcr.2021.11.010","volume":"12","author":"R Dwivedi","year":"2022","unstructured":"Dwivedi R, Mehrotra D, Chandra S. Potential of internet of medical things (IoMT) applications in building a smart healthcare system: a systematic review. J Oral Biol craniofac Res. 2022;12(2):302\u201318.","journal-title":"J Oral Biol craniofac Res"},{"issue":"1","key":"128_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jmoldx.2021.09.009","volume":"24","author":"AB Carter","year":"2022","unstructured":"Carter AB, et al. Electronic health records and genomics: perspectives from the association for molecular pathology electronic health record (EHR) interoperability for clinical genomics data working group. J Mol Diagn. 2022;24(1):1\u20137.","journal-title":"J Mol Diagn."},{"issue":"2","key":"128_CR18","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1177\/0145482X1711100214","volume":"111","author":"RW Emerson","year":"2017","unstructured":"Emerson RW. ANOVA and t-tests. J Vis Impair Blind. 2017;111(2):193\u20136.","journal-title":"J Vis Impair Blind"}],"container-title":["Discover Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-024-00128-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44163-024-00128-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-024-00128-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T16:24:28Z","timestamp":1715012668000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44163-024-00128-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,6]]},"references-count":18,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["128"],"URL":"https:\/\/doi.org\/10.1007\/s44163-024-00128-1","relation":{},"ISSN":["2731-0809"],"issn-type":[{"value":"2731-0809","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,6]]},"assertion":[{"value":"2 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was exempt from ethics approval because it did not involve human or animal subjects. The data used in this study were publicly available and did not require informed consent from participants.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"31"}}