Preventing Medjacking

Cuningkin, Veneine; Riley, Elizabeth; Rainey, Larronda

doi:10.1097/01.naj.0000794252.99183.5e

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…For example, (a) refractory sexual arousal subsequent to a neurostimulator, 4 (b) new onset tinnitus following spinal stimulator implantation 5 and (c) abdominal spasms resulting from pacemaker phrenic nerve stimulation. 6 In this case, we focus on an unusual ICD complication, in which the impingement of an ICD loop causes a brachial plexus injury. 7 Through this case, we aim to widen the practitioner's diagnostic perspective to include device-related causes that may originated in a different bodily system.…”

Section: Scenario 1 – Taser-induced Malfunction In a Dbs In A Parkins...mentioning

confidence: 99%

“…cloud-based remote care platforms). 1 – 6 At the individual level, cybersecurity researchers have documented extensive vulnerabilities in implantable medical devices, which if exploited have the potential to incur severe morbidity including blindness, paralysis, pain and cardiac arrhythmia. 12 – 17 Attacks on the wider medical infrastructure may also cause morbidity and mortality, exemplified by the death of a woman requiring transfer in Dusseldorf due to a hospital cyberattack.…”

Section: Introductionmentioning

confidence: 99%

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Simulation-based research for digital health pathologies: A multi-site mixed-methods study

Straw,

Dobbin,

Luna-Reaver

et al. 2024

DIGITAL HEALTH

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Background The advance of digital health technologies has created new forms of potential pathology which are not captured in current clinical guidelines. Through simulation-based research, we have identified the challenges to clinical care that emerge when patients suffer from illnesses stemming from failures in digital health technologies. Methods Clinical simulation sessions were designed based on patient case reports relating to (a) medical device hardware errors, (b) medical device software errors, (c) complications of consumer technology and (d) technology-facilitated abuse. Clinicians were recruited to participate in simulations at three UK hospitals; audiovisual suites were used to facilitate group observation of simulation experience and focused debrief discussions. Invigilators scored clinicians on performance, clinicians provided individual qualitative and quantitative feedback, and extensive notes were taken throughout. Findings Paired t-tests of pre and post-simulation feedback demonstrated significant improvements in clinician's diagnostic awareness, technical knowledge and confidence in clinical management following simulation exposure (p < 0.01). Barriers to care included: (a) low suspicion of digital agents, (b) attribution to psychopathology, (c) lack of education in technical mechanisms and (d) little utility of available tests. Suggested interventions for improving future practice included: (a) education initiatives, (b) technical support platforms, (c) digitally oriented assessments in hospital workflows, (d) cross-disciplinary staff and (e) protocols for digital cases. Conclusion We provide an effective framework for simulation training focused on digital health pathologies and uncover barriers that impede effective care for patients dependent on technology. Our recommendations are relevant to educators, practising clinicians and professionals working in regulation, policy and industry.

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Section: Scenario 1 – Taser-induced Malfunction In a Dbs In A Parkins...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation-based research for digital health pathologies: A multi-site mixed-methods study

Straw,

Dobbin,

Luna-Reaver

et al. 2024

DIGITAL HEALTH

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An Infrastructure Framework for Remote Patient Monitoring Interventions and Research

Claggett,

Petter,

Joshi

et al. 2024

J Med Internet Res

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Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients’ plan of care by using remotely gathered data, such as vital signs, to proactively make medical decisions about a patient’s care. RPM interventions have been touted as a means to improve patient care and well-being while reducing costs and resource needs within the health care ecosystem. However, multiple interworking components must be successfully implemented for an RPM intervention to yield the desired outcomes, and the design and key driver of each component can vary depending on the medical context. This viewpoint and perspective paper presents a 4-component RPM infrastructure framework based on a synthesis of existing literature and practice related to RPM. Specifically, these components are identified and considered: (1) data collection, (2) data transmission and storage, (3) data analysis, and (4) information presentation. Interaction points to consider between components include transmission, interoperability, accessibility, workflow integration, and transparency. Within each of the 4 components, questions affecting research and practice emerge that can affect the outcomes of RPM interventions. This framework provides a holistic perspective of the technologies involved in RPM interventions and how these core elements interact to provide an appropriate infrastructure for deploying RPM in health systems. Further, it provides a common vocabulary to compare and contrast RPM solutions across health contexts and may stimulate new research and intervention opportunities.

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An Infrastructure Framework for Remote Patient Monitoring Interventions and Research (Preprint)

Claggett¹,

Petter²,

Joshi³

et al. 2023

Preprint

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UNSTRUCTURED Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients’ plan of care by utilizing remotely gathered data, such as vital signs, to proactively make medical decisions about a patient’s care. RPM interventions have been touted as a means to improve patient care and well-being while reducing the costs and resource needs within the healthcare ecosystem. However, multiple interworking components must be successfully implemented for an RPM intervention to yield the desired outcomes, and the design and key driver of each component can vary depending on the medical context. This viewpoints and perspectives paper presents a four-component RPM infrastructure framework based on a synthesis of existing literature and practice related to RPM. Within each of the four components, questions affecting research and practice emerge that can affect the outcomes of RPM interventions. This framework provides a holistic perspective of the technologies involved in RPM interventions and how those core elements interact to provide an appropriate infrastructure for deploying RPM in health systems.

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Preventing Medjacking

Cited by 4 publications

References 9 publications

Simulation-based research for digital health pathologies: A multi-site mixed-methods study

Simulation-based research for digital health pathologies: A multi-site mixed-methods study

An Infrastructure Framework for Remote Patient Monitoring Interventions and Research

An Infrastructure Framework for Remote Patient Monitoring Interventions and Research (Preprint)

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