Work

A Clinical Connectivity Dependency Profile for Connected Medical Devices to Guide Care During Network and Service Disruptions

Year: 2026

Type: article

Abstract: Connected medical devices increasingly depend on networks, gateways, cloud services, and external software for clinically relevant monitoring, therapy, alarms, documentation, analytics, and decision-making support. Although existing regulatory and cybersecurity guidance addresses communication disruption, resilience, interoperability, and continuity of clinical operations, clinicians may still lack a concise device-specific account of what changes when a connectivity dependency becomes unavailable. This commentary proposes a clinical connectivity dependency profile that translates technical dependency information into guidance that clinicians can act on during disruption and recovery. The proposed profile comprises six domains, covering which clinical functions are retained, degraded, or unavailable, together with data and alarm continuity, degraded-state communication, fallback arrangements, recovery and data reconciliation, and external dependencies and lifecycle changes. Manufacturers would describe product-level behavior and relevant dependency changes, whereas healthcare organizations would define local staffing, escalation, fallback, and reconciliation arrangements. The profile can support procurement, local risk assessment, downtime planning, incident response, recovery verification, and multidisciplinary communication without replacing existing cybersecurity disclosures, labeling, or institutional downtime plans. Its terminology, implementation burden, and usefulness require empirical evaluation across device classes and care settings, including whether it improves the recognition of clinically important dependency failures and the selection of appropriate fallback actions. This paper aims to define the proposed profile, clarify responsibilities for its maintenance and use, and identify priorities for evaluation.

Source: Medical Devices Evidence and Research

DOI: 10.2147/mder.s649097

Authors: Osman Diriye Hussein, Mohamed Mustaf Ahmed

Institution: SIMAD University

Language: English

Topic: Quality and Safety in Healthcare

Subfield: Medical Laboratory Technology

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,320