{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T16:44:59Z","timestamp":1792601099695,"version":"4.5.0"},"reference-count":83,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T00:00:00Z","timestamp":1791417600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinica Chimica Acta"],"published-print":{"date-parts":[[2027,3]]},"DOI":"10.1016\/j.cca.2026.122884","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T15:56:41Z","timestamp":1791475001000},"page":"122884","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Integrating artificial intelligence into medical laboratories: A structured implementation framework"],"prefix":"10.1016","volume":"594","author":[{"given":"Avi","family":"Peretz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanoch","family":"Goldshmidt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sari","family":"Peretz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marielle","family":"Kaplan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orna","family":"Schwartz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronit","family":"Marco","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maya","family":"Azrad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cca.2026.122884_bb0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.clinbiochem.2022.02.011","article-title":"Applications of machine learning in routine laboratory medicine: current state and future directions","volume":"103","author":"Rabbani","year":"2022","journal-title":"Clin. Biochem."},{"key":"10.1016\/j.cca.2026.122884_bb0010","doi-asserted-by":"crossref","first-page":"1640","DOI":"10.1093\/jalm\/jfab075","article-title":"Rise of the machines: artificial intelligence and the clinical laboratory","volume":"6","author":"Haymond","year":"2021","journal-title":"J. Appl. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0015","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1515\/cclm-2024-1016","article-title":"A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects","volume":"63","author":"Cadamuro","year":"2025","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0020","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1515\/cclm-2022-1075","article-title":"Central role of laboratory medicine in public health and patient care","volume":"61","author":"Olver","year":"2023","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0025","doi-asserted-by":"crossref","first-page":"268","DOI":"10.3122\/jabfm.2014.02.130104","article-title":"Primary care physicians' challenges in ordering clinical laboratory tests and interpreting results","volume":"27","author":"Hickner","year":"2024","journal-title":"J. Am. Board Fam. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0030","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1093\/geroni\/igad104.1691","article-title":"Medical laboratory scientists' role in the care of an aging population","volume":"7","author":"Kaur","year":"2023","journal-title":"Innov. Aging"},{"key":"10.1016\/j.cca.2026.122884_bb0035","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1515\/cclm-2013-0063","article-title":"Laboratory demand management of repetitive testing: time for harmonisation and an evidence-based approach","volume":"51","author":"Lang","year":"2013","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0040","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.cmi.2017.10.035","article-title":"Emerging infections\u2014an increasingly important topic: review by the emerging infections task force","volume":"24","author":"Petersen","year":"2018","journal-title":"Clin. Microbiol. Infect."},{"key":"10.1016\/j.cca.2026.122884_bb0045","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s00428-015-1869-6","article-title":"Individualized medicine and demographic change as determining workload factors in pathology: quo vadis?","volume":"468","author":"Warth","year":"2016","journal-title":"Virchows Arch."},{"key":"10.1016\/j.cca.2026.122884_bb0050","series-title":"AACC White Paper on Overcoming Laboratory Staffing Shortages","author":"Deaton-Mohney","year":"2023"},{"key":"10.1016\/j.cca.2026.122884_bb0055","doi-asserted-by":"crossref","first-page":"808","DOI":"10.5858\/arpa.2022-0073-OA","article-title":"Burnout and disengagement in pathology: a prepandemic survey of pathologists and laboratory professionals","volume":"147","author":"Smith","year":"2023","journal-title":"Arch. Pathol. Lab Med."},{"key":"10.1016\/j.cca.2026.122884_bb0060","article-title":"Ransomware gangs attack clinical and pathology laboratories","author":"Alder","year":"2025","journal-title":"HIPAA Journal"},{"key":"10.1016\/j.cca.2026.122884_bb0065","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1093\/jalm\/jfac119","article-title":"Cybersecurity and information assurance for the clinical laboratory","volume":"8","author":"Patel","year":"2023","journal-title":"J. Appl. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0070","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1056\/NEJMra1615014","article-title":"Classification, ontology, and precision medicine","volume":"379","author":"Haendel","year":"2018","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0075","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1515\/cclm-2024-0823","article-title":"Advancing value-based laboratory medicine","volume":"63","author":"Plebani","year":"2025","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0080","series-title":"Laboratory Design (QMS04)","author":"Clinical and Laboratory Standards Institute","year":"2016"},{"key":"10.1016\/j.cca.2026.122884_bb0085","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10408363.2026.2712373","article-title":"Laboratory information system implementation and electronic health record integration: challenges, opportunities, and practical strategies","author":"Zha","year":"2026","journal-title":"Crit. Rev. Clin. Lab. Sci."},{"key":"10.1016\/j.cca.2026.122884_bb0090","series-title":"HL7 FHIR Laboratory Report Implementation Guide","author":"HL7 International","year":"2026"},{"key":"10.1016\/j.cca.2026.122884_bb0095","series-title":"US Core DiagnosticReport Profile for Laboratory Results Reporting","author":"HL7 International","year":"2024"},{"key":"10.1016\/j.cca.2026.122884_bb0100","doi-asserted-by":"crossref","first-page":"139","DOI":"10.3343\/alm.2021.41.2.139","article-title":"Sustainability in healthcare: perspectives and reflections regarding laboratory medicine","volume":"41","author":"Molero","year":"2021","journal-title":"Ann. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0105","doi-asserted-by":"crossref","DOI":"10.1007\/s44290-025-00232-w","article-title":"Sustainable building practices for modern clinical laboratories","volume":"2","author":"Olaiya","year":"2025","journal-title":"Discov. Civ. Eng."},{"key":"10.1016\/j.cca.2026.122884_bb0110","series-title":"Laboratory Biosafety Manual","year":"2020"},{"key":"10.1016\/j.cca.2026.122884_bb0115","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1093\/ajcp\/aqaa170","article-title":"The value of artificial intelligence in laboratory medicine","volume":"155","author":"Paranjape","year":"2021","journal-title":"Am. J. Clin. Pathol."},{"key":"10.1016\/j.cca.2026.122884_bb0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.cca.2025.120181","article-title":"Harnessing AI for enhanced evidence-based laboratory medicine (EBLM)","volume":"569","author":"Pillay","year":"2025","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122884_bb0125","author":"Harvard Medical School"},{"key":"10.1016\/j.cca.2026.122884_bb0130","series-title":"Clinical laboratory management","year":"2023"},{"key":"10.1016\/j.cca.2026.122884_bb0135","first-page":"1","article-title":"Lights and shadows of artificial intelligence in laboratory medicine","volume":"6","author":"Lippi","year":"2025","journal-title":"Adv. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0140","doi-asserted-by":"crossref","first-page":"1875","DOI":"10.1515\/cclm-2022-0653","article-title":"Flowing through laboratory clinical data: the role of artificial intelligence and big data","volume":"60","author":"Padoan","year":"2022","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0145","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5937\/jomb0-45936","article-title":"Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives","volume":"43","author":"Lippi","year":"2024","journal-title":"J. Med. Biochem."},{"key":"10.1016\/j.cca.2026.122884_bb0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.cca.2024.119724","article-title":"Artificial intelligence in the clinical laboratory","volume":"559","author":"Hou","year":"2024","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122884_bb0155","doi-asserted-by":"crossref","DOI":"10.3389\/fcimb.2023.1188684","article-title":"Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology","volume":"13","author":"Mencacci","year":"2023","journal-title":"Front. Cell. Infect. Microbiol."},{"key":"10.1016\/j.cca.2026.122884_bb0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.gim.2023.100830","article-title":"Evaluation of an automated genome interpretation model for rare disease routinely used in a clinical genetic laboratory","volume":"25","author":"Meng","year":"2023","journal-title":"Genet. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0165","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s12553-021-00555-5","article-title":"Artificial intelligence in disease diagnostics: a critical review and classification on the current state of research guiding future direction","volume":"11","author":"Mirbabaie","year":"2021","journal-title":"Heal. Technol."},{"issue":"3","key":"10.1016\/j.cca.2026.122884_bb0170","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.cll.2024.04.002","article-title":"Digital Imaging and AI Pre-classification in Hematology","volume":"44","author":"Bowers","year":"2024","journal-title":"Clin. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0175","doi-asserted-by":"crossref","DOI":"10.1128\/jcm.01627-25","article-title":"Digital holographic microscopy: use of artificial intelligence to enable rapid blood culture Gram stain digitization and interpretation","volume":"64","author":"Smith","year":"2026","journal-title":"J. Clin. Microbiol."},{"key":"10.1016\/j.cca.2026.122884_bb0180","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1038\/s41586-025-09529-3","article-title":"Learning the natural history of human disease with generative transformers","volume":"647","author":"Shmatko","year":"2025","journal-title":"Nature"},{"key":"10.1016\/j.cca.2026.122884_bb0185","article-title":"Artificial intelligence-powered quality assurance: transforming diagnostics, surgery, and patient care, innovations, limitations, and future directions","volume":"15","author":"Shin","year":"2025","journal-title":"Life (Basel, Switzerland)"},{"key":"10.1016\/j.cca.2026.122884_bb0190","article-title":"BioInnovate AI: a machine learning platform for rapid PCR assay design in emerging infectious disease diagnostics","volume":"15","author":"Lin","year":"2025","journal-title":"Diagnostics (Basel, Switzerland)"},{"key":"10.1016\/j.cca.2026.122884_bb0195","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2424203122","article-title":"Minimizing and quantifying uncertainty in AI-informed decisions: applications in medicine","volume":"122","author":"Curtis","year":"2025","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.cca.2026.122884_bb0200","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.3201\/eid2910.230030","article-title":"Cycle threshold values as indication of increasing SARS-CoV-2 new variants, England, 2020\u20132022","volume":"29","author":"Harrison","year":"2023","journal-title":"Emerg. Infect. Dis."},{"key":"10.1016\/j.cca.2026.122884_bb0205","doi-asserted-by":"crossref","first-page":"2451","DOI":"10.1515\/cclm-2024-0124","article-title":"Enhanced patient-based real-time quality control using graph-based anomaly detection","volume":"62","author":"Shang","year":"2024","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0210","doi-asserted-by":"crossref","first-page":"1984","DOI":"10.1515\/cclm-2021-1171","article-title":"A highly accurate delta check method using deep learning for detection of sample mix-up in the clinical laboratory","volume":"60","author":"Zhou","year":"2022","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0215","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1093\/labmed\/lmae092","article-title":"Evidence-based approach for the generation of a multivariate logistic regression model that predicts instrument failure","volume":"56","author":"Cleveland","year":"2025","journal-title":"Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0220","doi-asserted-by":"crossref","DOI":"10.1093\/clinchem\/hvae106.180","article-title":"A-182 applications of artificial intelligence optical character recognition in laboratory clerical functions offsetting staffing shortages and error reduction","volume":"70","author":"Springer","year":"2024","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122884_bb0225","article-title":"An artificial intelligence-enabled consumables tracking system for medical laboratories","volume":"33","author":"Sritart","year":"2024","journal-title":"J. Intell. Syst."},{"key":"10.1016\/j.cca.2026.122884_bb0230","doi-asserted-by":"crossref","first-page":"12","DOI":"10.3343\/alm.2024.0323","article-title":"Laboratory data as a potential source of bias in healthcare artificial intelligence and machine learning models","volume":"45","author":"Luu","year":"2025","journal-title":"Ann. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclinepi.2024.111606","article-title":"Sociodemographic bias in clinical machine learning models: a scoping review of algorithmic bias instances and mechanisms","volume":"178","author":"Colacci","year":"2025","journal-title":"J. Clin. Epidemiol."},{"issue":"1","key":"10.1016\/j.cca.2026.122884_bb0240","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1515\/cclm-2025-0841","article-title":"EFLM checklist for the assessment of AI\/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications","volume":"64","author":"Carobene","year":"2025","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0245","doi-asserted-by":"crossref","DOI":"10.3389\/fmed.2023.1305756","article-title":"Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review","volume":"10","author":"Cestonaro","year":"2023","journal-title":"Front. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0250","author":"Mello"},{"key":"10.1016\/j.cca.2026.122884_bb0255","series-title":"Research Handbook on Health AI Law","article-title":"Liability for use of artificial intelligence in medicine","author":"Nicholson Price","year":"2024"},{"key":"10.1016\/j.cca.2026.122884_bb0260","doi-asserted-by":"crossref","DOI":"10.1177\/2374289521990784","article-title":"The ethics of artificial intelligence in pathology and laboratory medicine: principles and practice","volume":"8","author":"Jackson","year":"2021","journal-title":"Acad. Pathol."},{"key":"10.1016\/j.cca.2026.122884_bb0265","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1515\/cclm-2022-1030","article-title":"Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories","volume":"61","author":"Carobene","year":"2023","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0270","doi-asserted-by":"crossref","DOI":"10.2196\/66986","article-title":"Health care professionals' concerns about medical AI and psychological barriers and strategies for successful implementation: scoping review","volume":"27","author":"Arvai","year":"2025","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.cca.2026.122884_bb0275","first-page":"460","article-title":"Exploring the risks of automation bias in healthcare artificial intelligence applications: a bowtie analysis","volume":"5","author":"Abdelwanis","year":"2024","journal-title":"J. Saf. Sci. Resil."},{"key":"10.1016\/j.cca.2026.122884_bb0280","series-title":"Ethics and governance of artificial intelligence for health: WHO guidance, executive summary","author":"World Health Organization","year":"2021"},{"key":"10.1016\/j.cca.2026.122884_bb0285","series-title":"Medical laboratories, Part 1: general principles for the application of artificial intelligence in medical laboratories","author":"International Organization for Standardization","year":"2025"},{"key":"10.1016\/j.cca.2026.122884_bb0290","series-title":"Medical laboratories, Part 2: digital pathology and artificial intelligence (AI)-based image analysis","author":"International Organization for Standardization","year":"2025"},{"key":"10.1016\/j.cca.2026.122884_bb0295","series-title":"Medical laboratories, requirements for quality and competence, ISO 15189:2022","author":"International Organization for Standardization","year":"2022"},{"key":"10.1016\/j.cca.2026.122884_bb0300","series-title":"Health Informatics, Applications of machine learning technologies in imaging and other medical applications","author":"International Organization for Standardization","year":"2021"},{"key":"10.1016\/j.cca.2026.122884_bb0305","author":"The Joint Commission, Coalition for Health AI (CHAI)"},{"key":"10.1016\/j.cca.2026.122884_bb0310","author":"European Parliament"},{"key":"10.1016\/j.cca.2026.122884_bb0315","series-title":"Ethics Guidelines for Trustworthy AI [Internet]","author":"High-Level Expert Group on Artificial Intelligence","year":"2019"},{"key":"10.1016\/j.cca.2026.122884_bb0320","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.cll.2023.04.009","article-title":"Artificial intelligence for clinical flow cytometry","volume":"43","author":"Seifert","year":"2023","journal-title":"Clin. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0325","doi-asserted-by":"crossref","first-page":"1846","DOI":"10.1515\/cclm-2018-0344","article-title":"The European Federation of Clinical Chemistry and Laboratory Medicine syllabus for postgraduate education and training for specialists in Laboratory Medicine: version 5\u20132018","volume":"56","author":"Jassam","year":"2018","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0330","series-title":"HHS\u2019 new AI strategic plan promises increased guidance, funding","author":"Beavins","year":"2025"},{"key":"10.1016\/j.cca.2026.122884_bb0335","article-title":"Is it time to create a \u201cstandard operating procedure\u201d for ai use in the clinical laboratory?","author":"Ade","year":"2025","journal-title":"Crit. Values"},{"key":"10.1016\/j.cca.2026.122884_bb0340","author":"FUTURE-AI"},{"key":"10.1016\/j.cca.2026.122884_bb0345","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2024-081554","article-title":"FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare","volume":"388","author":"Lekadir","year":"2025","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122884_bb0350","author":"European Federation of Clinical Chemistry and Laboratory Medicine"},{"key":"10.1016\/j.cca.2026.122884_bb0355","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1515\/cclm-2023-0355","volume":"61","author":"Cadamuro","year":"2023","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0360","author":"World Health Organization, Global Initiative on AI for Health"},{"key":"10.1016\/j.cca.2026.122884_bb0365","doi-asserted-by":"crossref","DOI":"10.1001\/jamahealthforum.2024.3397","article-title":"Antidiscrimination law meets artificial intelligence: new requirements for health care organizations and insurers","volume":"5","author":"Mello","year":"2024","journal-title":"JAMA Health Forum"},{"key":"10.1016\/j.cca.2026.122884_bb0370","author":"U.S. Food and Drug Administration"},{"key":"10.1016\/j.cca.2026.122884_bb0375","author":"European parliament and council of the European Union"},{"key":"10.1016\/j.cca.2026.122884_bb0380","author":"The White House"},{"key":"10.1016\/j.cca.2026.122884_bb0385","author":"Centers for Medicare & Medicaid Services"},{"key":"10.1016\/j.cca.2026.122884_bb0390","author":"National Science Foundation"},{"issue":"4","key":"10.1016\/j.cca.2026.122884_bb0395","article-title":"Governance of clinical AI applications 3o facilitate safe and equitable deployment in a large health system: key elements and early successes","volume":"24","author":"Liao","year":"2022","journal-title":"Front. Digital Health"},{"issue":"1","key":"10.1016\/j.cca.2026.122884_bb0400","doi-asserted-by":"crossref","DOI":"10.1038\/s41746-026-02418-7","article-title":"Advancing healthcare AI governance through a comprehensive maturity model based on systematic review","volume":"9","author":"Hussein","year":"2026","journal-title":"NPJ Digit. Med."},{"key":"10.1016\/j.cca.2026.122884_bb0405","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1093\/ajcp\/aqaf069","article-title":"Establishing a comprehensive artificial intelligence lifecycle framework for laboratory medicine and pathology: a series introduction","volume":"164","author":"Garcia","year":"2025","journal-title":"Am. J. Clin. Pathol."},{"key":"10.1016\/j.cca.2026.122884_bb0410","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s11528-022-00775-0","article-title":"Change management: from theory to practice","volume":"67","author":"Phillips","year":"2023","journal-title":"TechTrends"},{"key":"10.1016\/j.cca.2026.122884_bb0415","series-title":"Change management: successfully shaping change processes \u2013 mobilizing employees. vision, communication, participation, qualification","author":"Stolzenberg","year":"2022"}],"container-title":["Clinica Chimica Acta"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009898126020668?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009898126020668?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T16:20:52Z","timestamp":1792599652000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009898126020668"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,3]]},"references-count":83,"alternative-id":["S0009898126020668"],"URL":"https:\/\/doi.org\/10.1016\/j.cca.2026.122884","relation":{},"ISSN":["0009-8981"],"issn-type":[{"value":"0009-8981","type":"print"}],"subject":[],"published":{"date-parts":[[2027,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Integrating artificial intelligence into medical laboratories: A structured implementation framework","name":"articletitle","label":"Article Title"},{"value":"Clinica Chimica Acta","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cca.2026.122884","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"122884"}}