<?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-tMEB-1790880676-c663699676</doi_batch_id>
		<timestamp>1790880676</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>2025</year>
				</publication_date>
				<journal_volume>
					<volume>4</volume>
				</journal_volume>
				<issue>1</issue>
			</journal_issue>
			<journal_article publication_type="full_text">
				<titles>
					<title>Designing a Scalable Governance Architecture for AI-Enabled Telehealth and Remote Monitoring</title>
				</titles>
								<contributors>
          					<person_name sequence="first" contributor_role="author">
            <given_name>James</given_name>
            <surname>Walker</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Olivia</given_name>
            <surname>Harris</surname>
					</person_name>
          				</contributors>
								<publication_date>
					<year>2025</year>
				</publication_date>
				<doi_data>
					<doi>10.68159/c663699676</doi>
					<resource>https://cirpublications.com/pub/journal/1/article/c663699676</resource>
				</doi_data>
				<citation_list>
          					<citation key="rk-10.68159/c663699676-2d7cafb2-d568-47f0-b9ad-dc31d37587f9">
					  <unstructured_citation>Soenksen LR, Ma Y, Zeng C, Boussioux L, Villalobos Carballo K, Na L, et al. Integrated multimodal artificial intelligence framework for healthcare applications. npj Digit Med. 2022;5(1):149.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-175ebb15-232a-4884-84a4-d021563cfedd">
					  <unstructured_citation>Kiyasseh D, Cohen A, Jiang C, Sarker S, Nguyen S, Chen J, et al. A framework for evaluating clinical artificial intelligence systems without ground-truth annotations. Nat Commun. 2024;15(1):1808.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-722b84d5-82b4-4ad0-8032-11004d183086">
					  <unstructured_citation>Moor M, Banerjee O, Abad ZSH, Krumholz HM, Leskovec J, Topol EJ, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616(7956):259-70.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-d16de6eb-d08a-4e43-86fa-d34e25354f71">
					  <unstructured_citation>Lauritsen SM, Kalør ME, Kongsgaard EL, Lauritsen KM, Jørgensen MJ, Lange J, et al. Explainable artificial intelligence model to predict acute critical illness from electronic health records. Nat Commun. 2020;11(1):3852.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-6c03d9b5-859b-4676-9ac5-df8b73ed1b4d">
					  <unstructured_citation>Poddar M, Gandomkar Z, Lewis SJ, Brennan PC. An operational guide to translational clinical machine learning in academic medical centers. npj Digit Med. 2024;7(1):129.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-85fa6250-2b54-48ad-93ce-e76f6fda6062">
					  <unstructured_citation>Classen DC, Longhurst CA, Thomas EJ. Bending the patient safety curve: how much can AI help? npj Digit Med. 2023;6(1):2.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-d5af2d72-d69d-445f-8aaa-d3781a65938f">
					  <unstructured_citation>Kaczmarczyk R, Gupta R, Khosla R. Evaluating multimodal AI in medical diagnostics: the role of the NEJM Healer Image Challenge in assessing visual reasoning. npj Digit Med. 2024;7(1):47.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-373b07e1-6f8d-42aa-80ff-64816a70c6d6">
					  <unstructured_citation>Ng MY, Yilmaz I, Vassar A, Huang S, Long R, Du-Fay-de-Lavallaz J, et al. Perceptions of data set experts on important characteristics of health data sets ready for machine learning: a qualitative study. JAMA Netw Open. 2023;6(12):e2345892.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-ddfe363a-dd8d-4c13-8f9b-f51b864a53b9">
					  <unstructured_citation>Shah P, Kendall F, Khozin S, Goosen R, Hu J, Laramie J, et al. Artificial intelligence and machine learning in clinical development: a translational perspective. npj Digit Med. 2019;2:69.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-e77140cb-d307-4f95-83da-ec6f2c523c06">
					  <unstructured_citation>de Hond AAH, Leeuwenberg AM, Hooft L, Kant IMJ, Nijman SWJ, Steyerberg EW, et al. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. npj Digit Med. 2022;5(1):2.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-cf862623-f6f4-4d77-a111-19f8af33f605">
					  <unstructured_citation>Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, et al. Deep learning-enabled medical computer vision. npj Digit Med. 2021;4(1):5.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-280ed3be-3f2e-436e-8248-3a98b366f321">
					  <unstructured_citation>Kashyap S, Morse E, Hong M, L’Yi S, Gwynne D. A survey of extant organizational and computational setups for deploying predictive models in health systems. J Am Med Inform Assoc. 2021;28(11):2445-50.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-8f2d7d1a-75cd-45db-b290-5f0c20257aac">
					  <unstructured_citation>Phuong J, Riches N, Calzoni L, Datta G, Duran D, Lin AY, et al. Toward outcomes-based contractual agreements for remote patient monitoring. PLOS Digit Health. 2023;2(12):e0000401.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-d4af7b3c-7118-4f71-8d82-b0ada6302933">
					  <unstructured_citation>Srivastava D, Barton L, Nuesch-Inderbinen MT, Brabyn S, Hempel E, Beckwith A. A framework for digital health policy: insights from virtual primary care in Irish general practice. PLOS Digit Health. 2023;2(11):e0000382.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-dfd48716-5e7a-47be-b387-4b09d3c62884">
					  <unstructured_citation>Muurling M, de Boer C, Kozak R, Religa D, Koychev I, Verheij H, et al. A case study of the role of local research ethics committees in European multicenter and multidisciplinary Alzheimer’s disease studies. PLOS One. 2023;18(5):e0285807.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-bc55df5b-ee61-4f33-b517-40e7202e3cd5">
					  <unstructured_citation>Ganapathi S, Case R. Exploring the experiences and views of doctors working with artificial intelligence in English healthcare: a qualitative study. PLOS One. 2023;18(3):e0282415.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-0c20c802-73a3-49fc-b1d9-fd4721b03918">
					  <unstructured_citation>Kim D, You S, Kim SH, Kong JS, Lee JE, Nam EM, et al. A data-driven artificial intelligence model for remote triage in the prehospital environment. PLOS One. 2018;13(10):e0206006.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-0d403e3c-5c7b-46d6-986b-d168ce0a10cf">
					  <unstructured_citation>Shahid N, Rappon T, Berta W. Applications of artificial neural networks in health care organizational decision-making: a scoping review. PLOS One. 2019;14(2):e0212356.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-39217bad-691e-4c38-973f-ceeba921d8db">
					  <unstructured_citation>Jahan S, Al-Sa’d MF, Rahman MS, Akbar MM. Explainable AI-based Alzheimer’s prediction and management using multimodal data. PLOS One. 2023;18(11):e0294253.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-8fdcd4d8-d91f-45fb-ac2e-872e69d9fa11">
					  <unstructured_citation>Ahmad I, Asif R, Abd-Alrazaq A, AlSaad R, Alkattan A, Househ M. Emerging technologies for next generation remote health care and related technologies. IEEE J Biomed Health Inform. 2022;26(12):5796-805.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-cb82636a-6292-4b91-853c-6236b1ce6c23">
					  <unstructured_citation>Talal AH, McLellan S, Dong H, Charles W, Koirala A, Perumalswami PV. A framework for patient-centered telemedicine: application and lessons learned from vulnerable populations. J Biomed Inform. 2020;112:103622.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-74b985ac-2d9c-4644-b1da-b94c07a0f01b">
					  <unstructured_citation>Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Mangels D, et al. Alert-based ICD follow-up: a model of digitally driven remote patient management for implantable cardioverter defibrillators. JACC Clin Electrophysiol. 2021;7(8):1002-11.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-78b4fea4-ba4d-4f9b-bf0f-80080ff9749c">
					  <unstructured_citation>Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: capabilities, features, barriers, and applications. Sens Int. 2021;2:100117.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-7a205ca7-d958-4680-a499-c72ec1399f4d">
					  <unstructured_citation>Isakadze N, Martin SS. How useful is the smartwatch ECG? Trends Cardiovasc Med. 2020;30(7):442-8.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-0c97ede6-681d-463f-b76f-9d2751fe4955">
					  <unstructured_citation>Bharti U, Bajaj D, Gupta H, Hasteer N, Mishra A, Arora C. Medbot: conversational artificial intelligence powered chatbot for delivering tele-health after COVID-19. 5th Int Conf Commun Syst Netw Technol (CSNT). 2020:870-5.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-112ba3f7-8503-4a80-8469-56fdbee3f9c8">
					  <unstructured_citation>Hasan HR, Salah K, Jayaraman R, Omar M, Yaqoob I, Alowaisheq M. Blockchain-enabled telehealth services using smart contracts. IEEE Access. 2021;9:3415-33.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-857589ac-999d-48b4-9ff9-33c22eb4338f">
					  <unstructured_citation>Stogiannos N, McKernan A, Fotouhi S, Cropper J, Starr A, Thurley P, et al. Black box no more: a scoping review of AI governance in healthcare. Br J Radiol. 2023;96(1152):20221157.</unstructured_citation>
											</citation>
          					<citation key="rk-10.68159/c663699676-73ac8f04-80c1-4180-a1ae-61aec71d1452">
					  <unstructured_citation>Choi J, Woo S, Ferrell A. Artificial intelligence assisted telehealth for nursing: a scoping review. J Telemed Telecare. 2025;31(1):140-9.</unstructured_citation>
						 <doi>10.1177/1357633X231167613</doi> 					</citation>
          				</citation_list>
			</journal_article>
		</journal>
	</body>
</doi_batch>
