Predictive Analytics in Remote Patient Monitoring: Opportunities, Equity, and Clinical Safety

要旨

Background: The adoption of remote patient monitoring in home-based care, chronic disease management, and hospital-at-home services creates opportunities to improve clinical services, but technical performance alone does not establish patient benefit. Objective: To critically examine applications, evidence, safety, equity, and implementation of remote patient monitoring. Approach: This narrative review develops an analytical synthesis of established clinical AI principles and reporting guidance; it does not report a systematic search, a new dataset, or an empirical trial. Findings: Key opportunities include early deterioration alerts, follow-up prioritization, and longitudinal risk estimation. Important limitations include missingness, device adherence, and changes in individual baselines, as well as alarm fatigue, measurement error, and delayed escalation. Responsible adoption requires shared escalation rules, patient consent, and clinician accountability, transparent reporting, and evaluation of timely intervention, avoidable admissions, patient burden, and false alarms. Conclusion: The clinical value of remote patient monitoring depends on fit with the care pathway, prospective evaluation, accountable human oversight, and sustained monitoring after deployment.