The CARE Model: A Framework for Artificial Intelligence Integration in Chronic Disease Management.
SUMMARY: Chronic diseases are long-lasting health conditions that require continual management and coordination across multiple levels of care. The persistent nature of these diseases strains healthcare systems due to fragmented delivery, inefficiency, and provider burnout. This research introduces...
| Publicado en: | Journal of Healthcare Management Vol. 71; no. 4; pp. 235 - 244 |
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| Formato: | case study tables/charts Journal Article |
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Lippincott Williams & Wilkins
Jul/Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195155830&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195155830 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10969012 37I jtl: Journal of Healthcare Management issn: 10969012 maglogo: N pubinfo: dt: Jul/Aug2026 vid: 71 iid: 4 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 195155830 195155830 195155830 10.1097/JHM-D-26-00132 195155830 ppf: 235 ppct: 9 formats: tig: atl: The CARE Model: A Framework for Artificial Intelligence Integration in Chronic Disease Management. aug: au: Tran, Michael affil: Robbins Healthcare MBA, Robbins Institute for Health Policy and Leadership, Hankamer School of Business, Baylor University, Waco, Texas sug: subj: Artificial Intelligence Digital Health Pulmonary Disease, Chronic Obstructive Prevention and Control Pulmonary Disease, Chronic Obstructive Diagnosis Chronic Disease Economics Chronic Disease Diagnosis Population Health Natural Language Processing Monitoring, Physiologic Workflow Internet of Things Data Analytics Electronic Health Records Empowerment Data Communications Risk Assessment Early Diagnosis Decision Support Systems, Clinical Professional Role Automation Housing Instability Evaluation Task Performance and Analysis Reminder Systems Education Mobile Applications Pulmonary Disease, Chronic Obstructive Pathology Sensitivity and Specificity Oxygenation Ambulatory Care Facilities Medical Organizations ab: SUMMARY: Chronic diseases are long-lasting health conditions that require continual management and coordination across multiple levels of care. The persistent nature of these diseases strains healthcare systems due to fragmented delivery, inefficiency, and provider burnout. This research introduces the CARE Model (Chronic care AI for Redesign and Empowerment) as a comprehensive framework to integrate artificial intelligence (AI) across clinical, operational, and patient domains for chronic care management. The model consists of four pillars: coordination , analysis , redesign , and empowerment. Together, these components demonstrate how AI can enhance decision-making, foster communication among healthcare professionals, and improve outcomes for patients with long-term and complex conditions. The treatment of chronic obstructive pulmonary disease (COPD) serves as a case example, demonstrating how AI coordination can drive predictive analytics to prevent exacerbations, reduce readmissions, and empower self-management for patients. The CARE Model ultimately provides healthcare leaders with a blueprint for AI technology-enabled transformation in care delivery. pubtype: Academic Journal doctype: case study tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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