The Commonwealth Fund's "administrative efficiency" criterion ranks Canada poorly-sixth of the 11 countries compared. On two of the four patient-sourced measure used in this criterion, Canada was below the international average performance. For two of the three physician-sourced measures, Canada performs well but is significantly behind the best performing country. This suggests that Canada has room to improve, despite being better than average. Two opportunities for health leaders to make improvements are in relation to reducing the time physicians spend negotiating patient access to needed medications and reducing other administrative burdens related to claiming.
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http://dx.doi.org/10.1177/0840470418766629 | DOI Listing |
J Med Syst
January 2025
Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, 255, Civic Square Building 33 Livingston Ave #400, New Brunswick, NJ, 08901, USA.
Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train healthcare professionals, and advance medical research. This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Philips, San Diego, California.
Cardiac implantable electronic devices (CIEDs) generate substantial data, often stored in image or PDF formats. Remote monitoring, now an integral component of patient care, places considerable administrative burdens on clinicians and staff, in large part due to the challenge of integrating these data seamlessly into electronic health records. Since 2006, the Heart Rhythm Society, in collaboration with the CIED industry, has led an initiative to establish a unified standard nomenclature.
View Article and Find Full Text PDFCurr Pharm Teach Learn
December 2024
Department of Basic Sciences, College of Medicine, Sulaiman Al-Rajhi University, Al-Bukayriyah, Saudi Arabia; Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia. Electronic address:
The integration of artificial intelligence (AI) into pharmacy education offers transformative opportunities but also introduces significant challenges. This commentary explores whether AI will reshape or deform pharmacy education by analyzing its effects on personalized learning, complex concept comprehension, simulation-based clinical training, interprofessional education, and administrative efficiency. While AI-driven tools provide adaptive learning experiences, immersive visualizations, and streamlined administrative processes, concerns persist about overreliance on technology, skill atrophy, ethical and legal challenges, erosion of humanistic skills, inequities stemming from the digital divide, and faculty preparedness.
View Article and Find Full Text PDFPLOS Glob Public Health
November 2024
Health Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
In 2013, Kenya implemented free maternity services, later expanded in 2016 into the 'Linda Mama' policy to provide essential health services for pregnant women. This study explored the policy formulation background, processes, content, and actors' roles in formulation and implementation. Using a convergent parallel mixed-methods case study design, we reviewed documents and conducted in-depth interviews with national stakeholders, county officials, and healthcare workers.
View Article and Find Full Text PDFCureus
October 2024
Mechanical and Manufacturing Engineering, Miami University, Oxford, USA.
This article examines the transformative potential of artificial intelligence (AI) in shaping the future of healthcare. It highlights AI's capacity to revolutionize various medical fields, including diagnostics, personalized treatment, drug discovery, telemedicine, and patient care management. Key areas explored include AI's roles in cancer screening, reproductive health, cardiology, outpatient care, laboratory diagnosis, language translation, neuroscience, robotic surgery, radiology, personal healthcare, patient engagement, AI-assisted rehabilitation with exoskeleton robots, and administrative efficiency.
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