This manuscript summarizes the most common barriers to effective administrative preparedness and how to surmount them through the use of promising practices, strategies, and NACCHO developed resources focused on addressing unique jurisdictional requirements and needs.
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| http://dx.doi.org/10.1177/1073110519857322 | DOI Listing |
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Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses' perspectives.
BMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
View Article and Find Full Text PDFAn Iterative Design Method for Advancing Air Traffic Control and Management Training Through Immersive VFR 3D Map Visualization.
IISE Trans Occup Ergon Hum Factors
January 2025
The Bradley Department of Electrical and Computer Engineering, College of Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
OCCUPATIONAL APPLICATIONSInnovative tools that align with modern learners' preferences are essential for training in safety-critical professions like Air Traffic Control/Management. This study evaluated a Virtual Reality Visual Flight Rules 3D Map Visualization Tool designed to meet the Federal Aviation Administration's (FAA) modernization goals. The tool immerses trainee in contextually accurate environments, enhancing engagement and self-paced learning.
View Article and Find Full Text PDFHealth and tuberculosis systems resilience, the role of the private sector and pandemic preparedness: insights from a cross-country qualitative study with policy-makers in India, Indonesia and Nigeria.
BMJ Glob Health
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School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Introduction: The COVID-19 pandemic was an unprecedented challenge to health systems worldwide and had a severe impact on tuberculosis (TB) case notifications and service delivery. India, Indonesia and Nigeria are high TB-burden countries where the majority of initial care-seeking happens in the private health sector. The objectives of this study were to (1) explore policy-makers' perspectives on the impact of the COVID-19 pandemic on private sector TB service delivery in India, Indonesia and Nigeria and (2) identify cross-cutting insights for pandemic preparedness with respect to TB service delivery.
View Article and Find Full Text PDFFrontline Clinic Administrator Perspectives on Extreme Weather Events, Clinic Operations, and Climate Resilience.
J Ambul Care Manage
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Author Affiliations: Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Drs Wiskel and Dresser); Harvard T.H. Chan School of Public Health Center for Climate, Health, and the Global Environment, Boston, Massachusetts (Drs Wiskel and Dresser); Americares, Stamford, Connecticut (Mr Matthews-Trigg, Ms Stevens, and Dr Miles); and Harvard Medical School, Boston, Massachusetts (Drs Wiskel, Dresser, and Bernstein).
Climate-sensitive extreme weather events are increasingly impacting frontline clinic operations. We conducted a national, cross-sectional survey of 284 self-identified administrators and other staff at frontline clinics determining their attitudes toward climate change and the impacts, resilience, and preparedness of clinics for extreme weather events. Most respondents (80.
View Article and Find Full Text PDFGenerative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency.
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.
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