Artificial Intelligence and Decision Support System Research for Patient-Centric Care
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 4256
Special Issue Editor
Interests: health informatics; decision analysis and modeling; health service outcomes and evaluation; artificial intelligence in healthcare; population health management; patient-centric care management for chronic conditions; shared decision making in healthcare; aging and health; evidence-based healthcare management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human factor principles play an important role in healing design and processes, particularly when it comes to chronic conditions. Systematic reviews and meta-analyses of clinical trial studies on reducing hospitalization and readmission can yield valuable information or positive proof of the beneficial effect of specific care management strategies that may alter patients’ knowledge, motivation, attitudes, preventive practice, and outcomes. The primary aim of this Special Issue on “Artificial Intelligence (AI) and Decision Support System (DSS) Research and Applications in Patient-Centric Care” is twofold: 1) the identification of the transdisciplinary convergemce in theoretical formulations to account for the variability in healthcare outcomes; and 2) a demonstration of empirical or methodological approaches to AI and DSS applications. Interventions with human factor principles can be designed to reduce the risk of readmissions and to improve outcomes for patients. Ultimately, this Special Issue may help to direct future research in the field of AI applications in healthcare and to reconfigure the design, implementation, and evaluation of clinical practice for the prevention, diagnosis, treatment, and rehabilitation of chronic illnesses at the patient and population levels.
Topics of interest include but are not limited to:
- Chronic care management;
- Patient-centered care;
- AI applications;
- Systematic reviews and meta-analyses;
- Convergence and simulation research;
- AI methods or techniques;
- Outcomes research;
- Population health management;
- Transdisciplinary approaches;
- Software design;
- Innovative care modalities;
- Health informatics and evaluation;
- Clinical decision support systems for chronic care.
Dr. Thomas Wan
Guest Editor
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