Page 29 - AIH-1-3
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Artificial Intelligence in Health                                           Optimizing EHRs to support AI



               Stud Health Technol Inform. 2011;169:849-853.      https://loinc.org [Last accessed on 2019 Feb 25].
            29.  Weeks J, Pardee R. Learning to share health care data: A brief   41.  NSW-Government DN. AI Guidelines: Using Artifical
               timeline of influential common data models and distributed   Intelligence in the NSW Public Sector; 2023. Available from:
               health data networks in U.S. health care research. EGEMS   https://www.education.gov.au/schooling/announcements/
               (Wash DC). 2019;7(1):4.                            australian-framework-generative-artificial-intelligence-ai-
                                                                  schools [Last accessed on 2024 Feb 16].
               doi: 10.5334/egems.279
                                                               42.  NSW-Government.  AI Assurance Framework;  2022.
            30.  OpenEHR/CKM.  Clinical Knowledge Manager. Available
               from: https://ckm.openehr.org/ckm/# [Last accessed on   Available  from:  https://www.digital.nsw.gov.au/policy/
               2019 Feb 21].                                      artificial-intelligence/nsw-artificial-intelligence-assurance-
                                                                  framework [Last accessed on 2024 Feb 16].
            31.  OpenEHR-Foundation.  OpenEHR Reference Model (RM)-
               Latest. London: OpenEHR Foundation; 2017. Avaialble   43.  AMA. Position Statement: Artifical Intelligence in Healthcare;
                                                                  2023. Available from: https://www.ama.com.au/sites/
               from: https://openehr.org  [Last accessed on 2024 Jul 23].
                                                                  default/files/2023-08/artificial%20intelligence%20in%20
            32.  Cresswell KM, Mozaffar H, Lee L, Williams R, Sheikh A.   healthcare%20-%20ama.pdf [Last accessed on 2024 Feb 16].
               Safety risks associated with the lack of integration and   44.  World Health Organisation.  Regulatory Considerations
               interfacing of hospital health information technologies:   on Artificial Intelligence for health. Geneva: World Health
               A qualitative study of hospital electronic prescribing systems   Organization; 2023. Available from:  https://iris.who.int/
               in England. BMJ Qual Saf. 2017;26(7):530-541.
                                                                  handle/10665/373421 [Last accessed on 2024 Feb 16].
               doi: 10.1136/bmjqs-2015-004925
                                                               45.  Australian-Government DoI, Science and Resources.
            33.  Guo M,  Wang Y, Yang  Q,  et al. Normal workflow and   Australia’s AI Ethics Principles. Available from: https://
               key strategies for data cleaning toward real-world data:   www.industry.gov.au/publications/australias-artificial-
               Viewpoint. Interact J Med Res. 2023;12:e44310.     intelligence-ethics-framework/australias-ai-ethics-
                                                                  principles [Last accessed on 2024 Feb 16].
               doi: 10.2196/44310
                                                               46.  Australian-Government SDA.  Guidelines for Secure AI
            34.  Stöger K, Schneeberger D, Kieseberg P, Holzinger A. Legal
               aspects of data cleansing in medical AI. Comput Law Secur   System  Development; 2023. Available from: https://www.
               Rev. 2021;42:105587.                               cyber.gov.au/about-us/view-all-content/advice-and-
                                                                  guidance/guidelines-secure-ai-system-development [Last
               doi: 10.1016/j.clsr.2021.105587                    accessed on 2024 Feb 17].
            35.  Scott P, Dunscombe R, Evans D, Mukherjee M, Wyatt J.   47.  Australian-Government-DoH.  National Health Reform
               Learning health systems need to bridge the “two cultures” of   Agreement (NHRA) 2020-25. Available from: https://www.
               clinical informatics and data science. J Innov Health Inform.   health.gov.au/initiatives-and-programs/2020-25-national-
               2018;25:126-131.                                   health-reform-agreement-nhra [Last accessed on 2024 Feb
                                                                  17].
               doi: 10.14236/jhi.v25i2.1062
                                                               48.  Data-Governance-Institute.  The DGI-Data Governance
            36.  Cresswell K, Domínguez Hernández A, Williams R,
               Sheikh  A. Key challenges and opportunities for cloud   Framework. Available from: https://datagovernance.com
               technology in health care: Semistructured interview study.   [Last accessed on 2024 Feb 16].
               JMIR Hum Factors. 2022;9(1):e31246.             49.  The-White-House. Delivering on the Promise of AI to Improve
                                                                  Health Outcomes; 2023. Available from: https://www.
               doi: 10.2196/31246
                                                                  whitehouse.gov/briefing-room/blog/2023/12/14/delivering-
            37.  HL7.  Argonaut Project 2019. Available from: http://docs.  on-the-promise-of-ai-to-improve-health-outcomes  [Last
               smarthealthit.org/argonaut [Last accessed on 2019 Feb 06].  accessed on 2024 Feb 28].
            38.  CSIRO-eHealth-Research-Centre.   SPARKED-AU   50.  Government-of-the-Netherlands.   Dutch  Government
               FHIR Accelerator Brisbane; 2024. Available from:   Presents  Vision on  Generative AI; 2024. Available from:
               https://confluence.csiro.au/display/fhir/sparked+-  https://www.government.nl/latest/news/2024/01/18/
               +au+fhir+accelerator [Last accessed on 2024 Feb 17].  dutch-government-dutch-government-presents-vision-on-
            39.  ISO-13606-2. Health Informatics--Electronic Health Record   generative-ai#:~:text=the%20dutch%20government%20
               Communication--Part 2: Archetype Interchange Specification:   has%20announced,via%20the%20dutch%20ai%20coalition
               International Organsiation for Standardisation; 2008.   [Last accessed on 2024 Feb 28].
               Available from: https://www.iso.org/standard/50119.html   51.  Elkin P, editor.  Terminology,  Ontology and their
               [Last accessed on 2019 May 25].                    Implementations. 2  ed. Berlin: Springer; 2023.
                                                                                nd
            40.  LOINC.  Logical Observation Identifiers Names and Codes   52.  ISO17115.  Health Informatics-Representation of Categorial
               from Regenstrief. Indiana: Regenstrief. Available from:   Structures  of  Terminology (CatStructure); 2020. Available


            Volume 1 Issue 3 (2024)                         23                               doi: 10.36922/aih.3056
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