Dataset Information

The Internet of Things: Impact and Implications for Health Care Delivery.

ABSTRACT: The Internet of Things (IoT) is a system of wireless, interrelated, and connected digital devices that can collect, send, and store data over a network without requiring human-to-human or human-to-computer interaction. The IoT promises many benefits to streamlining and enhancing health care delivery to proactively predict health issues and diagnose, treat, and monitor patients both in and out of the hospital. Worldwide, government leaders and decision makers are implementing policies to deliver health care services using technology and more so in response to the novel COVID-19 pandemic. It is now becoming increasingly important to understand how established and emerging IoT technologies can support health systems to deliver safe and effective care. The aim of this viewpoint paper is to provide an overview of the current IoT technology in health care, outline how IoT devices are improving health service delivery, and outline how IoT technology can affect and disrupt global health care in the next decade. The potential of IoT-based health care is expanded upon to theorize how IoT can improve the accessibility of preventative public health services and transition our current secondary and tertiary health care to be a more proactive, continuous, and coordinated system. Finally, this paper will deal with the potential issues that IoT-based health care generates, barriers to market adoption from health care professionals and patients alike, confidence and acceptability, privacy and security, interoperability, standardization and remuneration, data storage, and control and ownership. Corresponding enablers of IoT in current health care will rely on policy support, cybersecurity-focused guidelines, careful strategic planning, and transparent policies within health care organizations. IoT-based health care has great potential to improve the efficiency of the health system and improve population health.

SUBMITTER: Kelly JT

PROVIDER: S-EPMC7685921 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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The Internet of Things: Impact and Implications for Health Care Delivery.

Kelly Jaimon T JT Campbell Katrina L KL Gong Enying E Scuffham Paul P

Journal of medical Internet research 20201110 11

The Internet of Things (IoT) is a system of wireless, interrelated, and connected digital devices that can collect, send, and store data over a network without requiring human-to-human or human-to-computer interaction. The IoT promises many benefits to streamlining and enhancing health care delivery to proactively predict health issues and diagnose, treat, and monitor patients both in and out of the hospital. Worldwide, government leaders and decision makers are implementing policies to deliver ...[more]

PMID: 33170132

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Project description:BackgroundMedication therapy management (MTM) program evaluations have revealed mixed outcomes, with some studies finding favorable outcomes and others finding no differences between patients who received MTM versus those who did not. One possible reason for outcomes variability is differences in delivery of MTM programs. The Chronic Care Model (CCM) provides a framework for how health care organizations can improve care for the chronically ill through 6 elements: organization of health care, delivery system design, clinical information systems, decision support, self-management, and linkages to community resources.ObjectiveTo apply the CCM to understand variation in MTM delivery and formulate policy recommendations.MethodsThis study used a mixed-methods descriptive analysis of MTM delivery. Investigators conducted visits to a purposeful sample of MTM practices to observe MTM and interview participants. The pharmacists and staff of these practices completed a modified Assessment of Chronic Illness Care (ACIC). Pairs of investigators analyzed interview transcripts to identify themes. Demographics and ACIC scores were summarized using descriptive statistics. After analysis, investigators discussed overarching themes and policy implications organized by CCM elements.ResultsSeven practices participated, and 87 participants were interviewed. Based on ACIC scores, MTM patient volume, and payer mix, practices were categorized as Early Maturity Level or Later Maturity Level. From the model, organization of health care themes included whether MTM was the practice's core competence, belief/confidence in the MTM process, lack of formal rewards, and the influence of organizational goals and external environment. Delivery system design themes pertained to the extent that MTM processes were formalized. Clinical information systems themes were the extent to which systems were influenced by payers, efficiency strategies, and the accuracy and availability of information. In considering clinical decision support themes, alert design limitations and variation in user approaches to alerts based on experience were noted. We observed strong support for patient self-management; when present, barriers were attributed to the patient, MTM provider, or payer. Referral to community resources was minimal. Numerous policy implications were identified.ConclusionsOur research identified numerous ways by which MTM delivery varies, particularly by MTM practice maturity level. These findings provide evidence for several policy changes that could be considered to optimize MTM delivery, encourage alignment with the CCM, and promote practice maturation.DisclosuresThis research and a portion of Snyder's salary were supported by grant number K08HS022119 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. Snyder reports consulting fees from Westat for an evaluation of the CMS Enhanced MTM program. The other authors have nothing to disclose. Portions of this research have been presented as abstracts at the following conferences: (a) 2017 Academy Health Annual Research Meeting; June 25-27, 2017; New Orleans, LA; (b) 2015 American Society of Health-System Pharmacists Clinical Midyear Meeting; December 4-8, 2015; New Orleans, LA; and

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Dataset Information

The Internet of Things: Impact and Implications for Health Care Delivery.

Publications

The Internet of Things: Impact and Implications for Health Care Delivery.

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