e.g. mhealth
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Skip search results from other journals and go to results- 7 JMIR Research Protocols
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Perspectives and Experiences With Large Language Models in Health Care: Survey Study
The health care sector faces substantial workforce challenges driven by aging populations, increased chronic disease prevalence, and growing health care demands [1,2]. Consequently, technology is increasingly adopted to improve the quality and efficiency of care while alleviating workforce burdens [3,4].
J Med Internet Res 2025;27:e67383
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These disparities carry over into the workforce, with Hispanic individuals comprising only 15.0% of the STEM (science, technology, engineering, and math) workforce in 2021, 9.0% of Black individuals, and
The underrepresentation of trainees from diverse backgrounds is particularly pronounced in the fields of biomedical artificial intelligence (AI) and machine learning [8,9].
JMIR Form Res 2025;9:e54167
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Consequently, Jharkhand faces a severe shortage of health workforce [10,11]. Approximately 80% of health care workers are stationed in metropolitan cities catering to the 24.05% of the population residing in urban areas, while 20% health care workers serve the 75.95% population living in rural areas [11-13]. Additionally, the population’s strong beliefs in spirit worship and reliance on local quacks and tantric practices for their ill health further contribute to the short supply of CHWs.
JMIRx Med 2025;6:e48346
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Challenges and Needs in Digital Health Practice and Nursing Education Curricula: Gap Analysis Study
Fear and demotivation in interacting and using a new technology due to lack of preparedness (1.2)
Lack of digital health literacy in the senior nursing workforce (1.1, 1.2)
Lack of consistent and continuous formal training (1.1, 1.2, 1.3)
Lack of time for appropriate training (1.1, 1.2)
New technologies led to the emergence of new roles for nurses that required new skill set (1.1, 1.2, 1.3)
Lack of nurses’ involvement in critical decision making in digital health implementation (2.2)
Lack of effective communication
JMIR Med Educ 2024;10:e54105
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The public health workforce continues to encounter human resource capacity challenges regarding competencies to appropriately respond to the need for widespread integration of digital technologies within public health workstreams [8].
JMIR Public Health Surveill 2024;10:e52798
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Digitally enabled health care has been proposed as an enabler for hospitals and health systems to advance and strengthen performance outcomes linked to the quadruple aim (ie, reduced costs, improved patient experience, improved workforce satisfaction, and better quality outcomes) [6-8].
J Med Internet Res 2024;26:e56316
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The importance of a specialist digital health workforce to support the development, use, management, and governance of health data, health information, health knowledge, and health technology has been well-documented [1], particularly through the transformation of digital health during the COVID-19 pandemic. This largely hidden workforce [2] supports the digital health needs for care delivery and management.
JMIR Med Educ 2024;10:e54137
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In response to the fast adoption of digital health technologies, a competent health care workforce with capabilities and confidence in implementing and integrating digital health technologies into health service delivery is essential [6,16]. This includes the management and leadership of health care organizations in the digital health context. Some efforts in addressing the required workforce competencies have occurred.
JMIR Res Protoc 2023;12:e51884
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