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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

Integrated Healthcare System

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

Methods Of Healthcare Delivery System

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...

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Artificial Intelligence Integration in U.S. Healthcare Professional Degree Programs: A Rapid Scoping Review.

Reza Taheri¹, Max Foroughi¹, Keykavous Parang¹

¹Chapman University School of Pharmacy.

Research Square

|June 29, 2026

Summary

Health professions education is rapidly integrating artificial intelligence (AI), but curricula need structured development. Research highlights the need for competency-based AI education, faculty training, and ethical governance in U.S. programs.

Keywords:

Artificial intelligence Competency-based education Curriculum development Health professions education Scoping review

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Area of Science:

Health Professions Education
Artificial Intelligence in Healthcare
Curriculum Development

Background:

Healthcare artificial intelligence (AI) capabilities are advancing, necessitating urgent updates to health professions curricula.
Current integration of AI in U.S. health professional education is evolving from informal exposure to more structured programs.

Purpose of the Study:

To analyze peer-reviewed evidence (2019-2026) on AI integration in U.S. health professional degree education.
To characterize study designs, findings, research gaps, and future directions for AI curricula.
To provide insights for scalable and ethically governed AI curricula.

Main Methods:

Rapid scoping review of PubMed and Google Scholar, supplemented by citation chaining and U.S. curricular resources.
Inclusion of English-language, peer-reviewed studies (2019-2026) on AI/machine learning/generative AI education in health professions.
Data extraction into evidence-mapping tables and descriptive synthesis by profession, content, and outcomes.

Main Results:

Thirty-six peer-reviewed papers were synthesized, with a prevalence of review articles and surveys over intervention evaluations.
Medical education, particularly radiology, dominated AI implementation studies; dentistry, pharmacy, and physical therapy showed emerging work.
Consistent calls for competency-based design, faculty development, assessment adaptation for generative AI, and ethical governance were identified.

Conclusions:

U.S. health professions programs are developing structured AI offerings, influenced by national organizations and institutional examples.
The current literature base is nascent, lacking multi-institutional evaluations, longitudinal follow-up, and links to clinical outcomes.
Future research should focus on competency-linked curricula, transparent evaluation, and equity/safety-centered governance for AI education.