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			<depositor_name>Clinical Intelligence Research Press</depositor_name>
			<email_address>info@cirpublications.com</email_address>
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		<registrant>Clinical Intelligence Research Press</registrant>
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		<journal>
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				<full_title>Journal of Health Informatics and Digital Systems</full_title>
				<abbrev_title>J. Health Inform. Digit. Syst.</abbrev_title>
				<issn>3149-8973</issn>
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				<publication_date>
					<year>2022</year>
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				<journal_volume>
					<volume>2</volume>
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				<issue>2</issue>
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					<title>Smart Hospital Artificial Intelligence System for Predicting Nurse Call Button Demand Using Patient Acuity Levels, Room Location, Prior Call Frequency, Time-of-Day Patterns, and Unit Staffing Ratios</title>
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								<contributors>
          					<person_name sequence="first" contributor_role="author">
            <given_name>Daniel</given_name>
            <surname>Fischer</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Laura</given_name>
            <surname>Meier</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Thomas</given_name>
            <surname>Braun</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Stefan</given_name>
            <surname>Koch</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Felix</given_name>
            <surname>Roth</surname>
					</person_name>
          				</contributors>
								<publication_date>
					<year>2022</year>
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