<?xml version="1.0" encoding="UTF-8"?><doi_batch version="4.3.7" xmlns="http://www.crossref.org/schema/4.3.7" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.3.7 http://www.crossref.org/schema/deposit/crossref4.3.7.xsd">
		<head>
		<doi_batch_id>cirpublications.com-mjU3-1790880673-v488228035</doi_batch_id>
		<timestamp>1790880673</timestamp>
		<depositor>
			<depositor_name>Clinical Intelligence Research Press</depositor_name>
			<email_address>info@cirpublications.com</email_address>
		</depositor>
		<registrant>Clinical Intelligence Research Press</registrant>
	</head>
	<body>
		<journal>
			<journal_metadata>
				<full_title>Journal of Artificial Intelligence for Healthcare Systems</full_title>
				<abbrev_title>J. Artif. Intell. Healthc. Syst.</abbrev_title>
				<issn>3149-8981</issn>
			</journal_metadata>
			<journal_issue>
				<publication_date>
					<year>2026</year>
				</publication_date>
				<journal_volume>
					<volume>5</volume>
				</journal_volume>
				<issue>1</issue>
			</journal_issue>
			<journal_article publication_type="full_text">
				<titles>
					<title>An Autonomous Clinical Workflow Intelligence Architecture for Hospital Decision Ecosystems</title>
				</titles>
								<contributors>
          					<person_name sequence="first" contributor_role="author">
            <given_name>Anna</given_name>
            <surname>Kowalska</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Piotr</given_name>
            <surname>Nowak</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Tomasz</given_name>
            <surname>Zielinski</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Katarzyna</given_name>
            <surname>Mazur</surname>
					</person_name>
          				</contributors>
								<publication_date>
					<year>2026</year>
				</publication_date>
				<doi_data>
					<doi>10.68159/v488228035</doi>
					<resource>https://cirpublications.com/pub/journal/1/article/v488228035</resource>
				</doi_data>
				<citation_list>
          					<citation key="rk-10.68159/v488228035-26c01753-2f34-4a83-8e96-e3f3767b86da">
					  <unstructured_citation>Maimaitiaili M, Jiamaliding Y, Dai G, Xiao H. Artificial intelligence platform architecture for hospital systems: systematic review. J Med Internet Res. 2025;27(1):e79788.</unstructured_citation>
						 <doi>10.2196/79788</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-e92a37b9-ef41-4e2e-8158-5608cffd409e">
					  <unstructured_citation>Tasmurzayev N, Amangeldy B, Imanbek B. Digital cardiovascular twins, AI agents, and sensor data: a narrative review from system architecture to proactive heart health. Sensors (Basel). 2025;25(17):5272.</unstructured_citation>
						 <doi>10.3390/s25175272</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-a9091997-c9fd-48f9-9813-f6edf3cc04b0">
					  <unstructured_citation>Ileana M, Petrov P, Milev V. AI-enabled secure and scalable distributed web architecture for medical informatics. Appl Sci (Basel). 2025;15(19):10710.</unstructured_citation>
						 <doi>10.3390/app151910710</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-59eee524-e610-47e8-90ec-826b1893d28e">
					  <unstructured_citation>Gebler R, Reinecke I, Sedlmayr M. Enhancing clinical data infrastructure for AI research: comparative evaluation of data management architectures. J Med Internet Res. 2025;27(1):e74976.</unstructured_citation>
						 <doi>10.2196/74976</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-7f2c4837-a130-4849-a160-c1f801ec23b3">
					  <unstructured_citation>Kierner S, Kucharski J, Kierner Z. Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: a scoping review. J Biomed Inform. 2023;149:104291.</unstructured_citation>
						 <doi>10.1016/j.jbi.2023.104291</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-e972890e-4ca7-4e24-afd2-34a3478f7203">
					  <unstructured_citation>Huang KA, Choudhary HK, Kuo PC. Artificial intelligent agent architecture and clinical decision-making in the healthcare sector. Cureus. 2024;16(12):e266768.</unstructured_citation>
						 <doi>10.7759/cureus.266768</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-43d8aa47-2145-4520-96fd-c824ef7547a5">
					  <unstructured_citation>Ozaydin B, Zengul F, Oner N, Feldman SS. Healthcare research and analytics data infrastructure solution: a data warehouse for health services research. JMIR Med Inform. 2020;6(6):e18579.</unstructured_citation>
						 <doi>10.2196/18579</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-58620e90-a3fc-40d9-bd3a-fc7565f2984a">
					  <unstructured_citation>Palanisamy V, Thirunavukarasu R. Implications of big data analytics in developing healthcare frameworks: a review. J King Saud Univ Comput Inf Sci. 2019;31(3):275-83.</unstructured_citation>
						 <doi>10.1016/j.jksuci.2017.12.003</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-a86b0d8e-0c93-40a1-ab18-904015c4b57b">
					  <unstructured_citation>Arias MI, Cadavid L, Velásquez JD. Advancing healthcare analytics: a thematic review of machine learning, health informatics, and real-world data applications. J Biomed Inform. 2025;151:104567.</unstructured_citation>
						 <doi>10.1016/j.jbi.2024.104567</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-42d9e813-a4ac-40f2-8491-760fada6e37c">
					  <unstructured_citation>Nassra I, Capella JV. Big data infrastructure and analytics framework for next-generation smart healthcare systems. In: Proc IEEE Int Conf Big Data Knowl Control Syst. 2025;1-6.</unstructured_citation>
						 <doi>10.1109/BDKCS62053.2025.11300519</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-a61fc75b-d791-4680-93d6-f7703b6bfcd9">
					  <unstructured_citation>Anoop VS, Asharaf S. Integrating artificial intelligence and blockchain for enabling a trusted ecosystem for healthcare sector. In: Intelligent healthcare: infrastructure, algorithms. 2022.</unstructured_citation>
						 <doi>10.1007/978-981-16-8150-9_13</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-4e0a054f-761c-4015-9828-b3fc2d848d85">
					  <unstructured_citation>Denecke K, Baudoin CR. A review of artificial intelligence and robotics in transformed health ecosystems. Front Med (Lausanne). 2022;9:795957.</unstructured_citation>
						 <doi>10.3389/fmed.2022.795957</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-b6acaf53-3232-47f9-acc8-0948666ab91b">
					  <unstructured_citation>Rubinstein B, Matos S. Value creation for healthcare ecosystems through artificial intelligence applied to physician-to-physician communication: a systematic review. Neural Process Lett. 2025;57(6).</unstructured_citation>
						 <doi>10.1007/s11063-025-11725-1</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-1514beef-96ed-452d-bcc9-d40d19754149">
					  <unstructured_citation>Leone D, Schiavone F, Appio FP, Chiao B. How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem. J Bus Res. 2021;129:849-59.</unstructured_citation>
						 <doi>10.1016/j.jbusres.2020.09.043</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-337985d5-e0de-43ec-b6ba-d7069e8a2b9e">
					  <unstructured_citation>Reddy S, Allan S, Coghlan S, Cooper P. A governance model for the application of AI in health care. J Am Med Inform Assoc. 2020;27(3):491-7.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/v488228035-85edb259-2725-4056-8f62-ca5dec3ddbf7">
					  <unstructured_citation>Liao F, Adelaine S, Afshar M, Patterson BW. Governance of Clinical AI applications to facilitate safe and equitable deployment in a large health system: Key elements and early successes. Front Digit Health. 2022;4:931439.</unstructured_citation>
						 <doi>10.3389/fdgth.2022.931439</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-4c3a9fb3-2dc2-4f53-8339-62fc98fefebb">
					  <unstructured_citation>Owens K, Griffen Z, Damaraju L. Managing a &quot;responsibility vacuum&quot; in AI monitoring and governance in healthcare: a qualitative study. BMC Health Serv Res. 2025;25(1):1217.</unstructured_citation>
						 <doi>10.1186/s12913-025-13388-z</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-48944686-e532-4f8e-8fcf-9a8f599ce3cf">
					  <unstructured_citation>Morley J, Murphy L, Mishra A, Joshi I. Governing data and artificial intelligence for health care: developing an international understanding. JMIR Form Res. 2022;6(1):e31623.</unstructured_citation>
						 <doi>10.2196/31623</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-129b7ea8-fa96-4ed7-85cf-df25ef1070e9">
					  <unstructured_citation>Adnan HS, Shidani A, Clifton L, Bankhead CR, Perera-Salazar R. Implementation framework for AI deployment at scale in healthcare systems. iScience. 2025;28(5):112406.</unstructured_citation>
						 <doi>10.1016/j.isci.2025.109876</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-480e0141-90bd-46d9-9c0d-12b828dbcc87">
					  <unstructured_citation>Freeman S, Wang A, Saraf S, Potts E. Developing an AI governance framework for safe and responsible AI in health care organizations: protocol for a multimethod study. JMIR Res Protoc. 2025;14(1):e75702.</unstructured_citation>
						 <doi>10.2196/75702</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-5e47c1cb-89a3-42e4-aa08-dcb1634d3a9f">
					  <unstructured_citation>Macrae C. Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare. Risk Anal. 2025;45(4):910-27.</unstructured_citation>
						 <doi>10.1111/risa.14273</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-1791129a-cba1-40e8-b046-da509d586c66">
					  <unstructured_citation>Dossabhoy SS, Ho VT, Ross EG, Rodriguez F, Arya S. Artificial intelligence in clinical workflow processes in vascular surgery and beyond. Semin Vasc Surg. 2023;36(3):401-12.</unstructured_citation>
						 <doi>10.1053/j.semvascsurg.2023.09.001</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-f5d8f9b7-25a6-4bf7-9236-400535defec3">
					  <unstructured_citation>Schwamm LH, Pletcher S, Erskine A. AI and Technology Enabled Clinical Workflow Redesign. Telemed Rep. 2024;5(1):415-20.</unstructured_citation>
						 <doi>10.1089/tmr.2024.0079</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-3bf07153-ab4f-4c3a-aa69-59f819dceb89">
					  <unstructured_citation>Wang F, Beecy A. Implementing AI models in clinical workflows: a roadmap. BMJ Evid Based Med. 2025;30(5):285-7.</unstructured_citation>
						 <doi>10.1136/bmjebm-2024-112883</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-add065ae-4cc6-4ddd-87b6-2e344b67e0ff">
					  <unstructured_citation>Juluru K, Shih HH, Keshava Murthy KN. Integrating AI algorithms into the clinical workflow. Radiol Artif Intell. 2021;3(5):e210013.</unstructured_citation>
						 <doi>10.1148/ryai.2021210013</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-6e334ed1-40b0-4f50-91a1-74b3d804cd23">
					  <unstructured_citation>Kanakaraj P, Ramadass K, Bao S, Basford M. Workflow integration of research AI tools into a hospital radiology rapid prototyping environment. J Digit Imaging. 2022;35(4):1023-31.</unstructured_citation>
						 <doi>10.1007/s10278-022-00601-2</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-184a899b-c185-418e-876f-623e373c08ae">
					  <unstructured_citation>Zhai K, Yousef MS, Mohammed S, Al-Dewik NI. Optimizing clinical workflow using precision medicine and advanced data analytics. Processes. 2023;11(3):939.</unstructured_citation>
						 <doi>10.3390/pr11030939</doi> 					</citation>
          					<citation key="rk-10.68159/v488228035-738bc89c-b0d9-4cdb-9e77-1b29fa4cb5e3">
					  <unstructured_citation>Kadar MA, Modak R. VITA: conversational AI health assistants’ impact on patient engagement and clinical workflow integration. World J Adv Res Rev. 2021;10(3):499-507.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/v488228035-46822c69-5d32-4ceb-b6a7-671827359df5">
					  <unstructured_citation>Kale UK, Vemulapalli G. Integrating AI into the clinical workflows across the cancer care continuum: opportunities and challenges. Cancer J. 2025;31(6):366-72.</unstructured_citation>
						 <doi>10.1097/PPO.0000000000000691</doi> 					</citation>
          				</citation_list>
			</journal_article>
		</journal>
	</body>
</doi_batch>
