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MHealth 6/6 https://en.wikipedia.org/wiki/MHealth reference science, encyclopedia 2026-05-05T07:30:51.903089+00:00 kb-cron

==== Open mHealth ==== Open mHealth architecture was introduced, fostering innovation in healthcare through facilitating access and harmonization of digital health data from disparate sources using a global community of developers and health tech decision-makers to make sense of that digital health data through an open interoperability standard. 2012 mHealth app revolution The proliferation of smartphone apps dedicated to health and fitness catalyzed the mHealth revolution, allowing users to track fitness, monitor vitals, access medical information, and engage in telemedicine. Smart Health and Wellbeing (SHB)

As a follow-up to the mHealth Evidence Workshop, NSF launched the Smart Health and Wellbeing program to address fundamental technical and scientific issues that would support the much-needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered, and focused on wellbeing rather than disease. ASSIST Engineering Research Center (ERC)

NSF and NIH initiated a joint research program specifically focusing on mHealth, following up on the insights gained from the mHealth Evidence Workshop. The Engineering Research Center ASSIST ERC at NC State University was established to further mHealth research by developing leading-edge systems for high-value applications such as healthcare and IoT by integrating fundamental advances in energy harvesting, low-power electronics, and sensors with a focus on usability and actionable data. 2013 Wearable technology Around this time, Fitbit (originally Healthy Metrics Research, Inc.) also emerged, pioneering wearable health technology. 2014 The Big Data To Knowledge (BD2K) Initiative The NIH BD2K Centers of Excellence program provided a significant boost to mHealth research, leading to 12 research centers, like the Mobile Data To Knowledge (MD2K) headquartered at the University of Memphis and Stanford's Center for Mobility Data Integration to Insight (Mobilize), to facilitate studies and innovation in the field. 2015 Advancements in wearable technology Wearable devices, such as smartwatches and fitness trackers, have become more sophisticated, enabling continuous health monitoring, activity tracking, and integration with mobile health apps. All of Us

mHealth gained prominence in the All of Us program, a precision medicine initiative aiming to collect health data from diverse populations. The launch of smartwatches, particularly the Apple Watch, further emphasized the integration of wearables and health tracking. 'mHealthHUB

The mHealthHUB is launched as a virtual forum where technologists, researchers, and clinicians connect, learn, share, and innovate on mHealth tools to transform healthcare. Focused on creating an innovation ecosystem that fosters the collaborative team science essential for mHealth and data science innovations, the site becomes a collaboratory "watering hole" for the mHealth research community. 2017 NSF Center for Underserved Populations The NSF established the Engineering Research Center for Precise Advanced Technologies and Health Systems for Underserved Populations, emphasizing the integration of engineering research and education with technological innovation to transform national prosperity, health, and security.

==== Research and development expansion ==== Pharmaceutical companies, tech giants, and healthcare institutions increased their investment in mHealth R&D, exploring AI-driven health apps, remote diagnostics, and personalized medicine. 2020 Biomedical Technology Resource Centers (BTRCs) Novel mHealth research centers funded by NIH spring from the remnants of the BD2K initiative. mHealth-focused P41 awards for new centers, like the mHealth Center for Discovery, Optimization, and Translation of Temporally-Precise Interventions (mDOT Center) headquartered at the University of Memphis and Stanford's Mobilize Center, were established to focus on innovative biomedical technologies for healthcare.

==== During the COVID-19 pandemic ==== The COVID-19 pandemic accelerated the adoption of mHealth solutions for remote consultations, contact tracing apps, telehealth services, and remote patient monitoring to maintain healthcare access during lockdowns. Present Ongoing research and integration Current research focuses on AI-driven diagnostics, blockchain for secure health data management, machine learning for predictive analytics, and the integration of mHealth into mainstream healthcare systems.

== Research == Emerging trends and areas of interest:

Emergency response systems (e.g., road traffic accidents, emergency obstetric care). Human resources coordination, management, and supervision. Mobile synchronous (voice) and asynchronous (SMS) telemedicine diagnostic and decision support to remote clinicians. Clinician-focused, evidence-based formulary, database and decision support information available at the point of care. Pharmaceutical supply chain integrity and patient safety systems (e.g. Sproxil and mPedigree). Clinical care and remote patient monitoring Health extension services. Inpatient monitoring. Health services monitoring and reporting. Health-related mLearning for the general public. Public health services, for example, tobacco cessation Mental health promotion and illness prevention Training and continuing professional development for health care workers. Health promotion and community mobilization. Support of long-term conditions, for example medication reminders and diabetes self-management. Peer-to-peer personal health management for telemedicine. Patient participation and social mobilisation for infectious disease prevention (e.g. Participatient). Surgical follow-up, such as for major joint arthroplasty patients. Mobile social media for global health personnel; for example, the capacity to facilitate professional connectedness, and to empower health workforce. According to the Vodafone Group Foundation on February 13, 2008, a partnership for emergency communications was created between the group and United Nations Foundation. Such partnership will increase the effectiveness of the information and communications technology response to major emergencies and disasters around the world.

== See also ==

Health 2.0 Health informatics Healthcare workforce information systems Hospital-at-home Open source software packages for mHealth Telehealth Telemedicine service providers

== References ==

== Further reading ==