Research AppraisalSystematic Review

Advances in Remote Monitoring Technology Applications in Anesthesia: A Narrative Review

Medical science monitor : international medical journal of experimental and clinical researchChen, Lixin, Cheng, Songhe, Zhang, Libing et al.1 July 2026DOI

Clinical Snapshot

15CEBM
Evidence: WeakSystematic Review

PICO Framework

P — PopulationPerioperative patients undergoing anaesthesia across the full perioperative pathway (preoperative, intraoperative, and postoperative phases)
I — InterventionRemote monitoring technologies including 5G networks, Internet of Things (IoT) devices, cloud computing platforms, wearable sensors, multimodal data fusion, and federated learning-driven predictive analytics applied in anaesthesiology
C — ComparatorConventional/standard perioperative monitoring approaches; intermittent monitoring (as referenced in the TRaCINg trial comparator arm)
O — OutcomesClinical outcomes including unplanned ICU admissions, hospital length of stay, early detection of postoperative complications; technical outcomes including platform infrastructure demands, data interoperability, and security

Bottom Line

This narrative review from a single Chinese institution provides a broad, clinically oriented overview of remote monitoring technologies in anaesthesiology, covering 5G, IoT, and cloud computing platforms across the perioperative pathway. While the topic is timely and clinically important, the methodological quality is limited by the absence of a systematic search strategy, pre-specified inclusion criteria, formal risk of bias assessment, and GRADE certainty ratings. The primary clinical evidence anchor — the TRaCINg feasibility RCT — is explicitly exploratory and insufficient to support definitive practice recommendations. No pooled effect sizes or confidence intervals are reported. The review is best understood as a technology landscape overview and hypothesis-generating document rather than an evidence synthesis capable of informing clinical guideline change. For Australian anaesthetists and perioperative clinicians, the concepts are relevant — particularly for rural and remote care contexts — but implementation decisions should await results from adequately powered definitive RCTs. The proposed innovations (federated learning, multimodal data fusion) remain aspirational. Senior clinicians should treat this review as background reading that identifies research priorities rather than as actionable clinical evidence.

Evidence: Weak

Key Findings

  • P Value: Not reported

  • Effect Size: Not formally reported in this review. The TRaCINg trial findings are described as 'exploratory' and suggesting potential reductions in unplanned ICU admissions and shorter hospital stays with continuous remote monitoring — no specific effect estimates are synthesised

  • Primary Outcome: Narrative synthesis of remote monitoring technology applications across the perioperative pathway; primary clinical evidence anchor is the TRaCINg feasibility RCT examining continuous versus intermittent National Early Warning Score (NEWS) monitoring after major surgery

  • Nnt Or Sensitivity: Not calculable from this narrative review. The TRaCINg trial is a feasibility RCT; definitive NNT estimates for clinical outcomes cannot be derived from feasibility-phase data. No sensitivity or specificity data for monitoring platforms are pooled or reported.

  • Confidence Interval: Not reported

Clinical Application

Implementation feasibility varies substantially by healthcare setting. 5G-dependent platforms require robust telecommunications infrastructure not universally available. IoT device integration demands interoperability standards and cybersecurity frameworks. Staff training, workflow redesign, and alert fatigue management are identified as significant implementation barriers. Cost-effectiveness data are absent from this review, limiting health economic assessment. Remote monitoring technologies in anaesthesia have emerging relevance to Australian practice, particularly for rural and remote healthcare delivery where specialist anaesthesia oversight is limited. The Australian Digital Health Agency's national digital health strategy and the My Health Record system provide a policy framework for remote monitoring integration. The TGA would need to evaluate wearable monitoring devices as medical devices under the Therapeutic Goods Act 1989 before clinical deployment. RACGP and ANZCA guidelines do not yet formally address remote perioperative monitoring protocols. PBS listing of remote monitoring services would require evidence from definitive RCTs — not yet available. The Royal Flying Doctor Service and telehealth expansion post-COVID-19 represent existing infrastructure that could support remote anaesthesia monitoring in regional contexts. However, the evidence base reviewed here is insufficient to support formal guideline changes in Australian anaesthesia practice at this time. Perioperative patients undergoing surgery requiring anaesthesia, particularly those at elevated risk of postoperative complications who may benefit from continuous physiological monitoring beyond the immediate recovery period. Potentially most applicable to high-acuity surgical populations (major abdominal, cardiac, orthopaedic surgery) in hospital settings with adequate digital infrastructure.

Abstract

The swift progress of digital and sensor technologies is hastening the incorporation of remote monitoring into anesthesiology. While several reviews have explored telemedicine and artificial intelligence in anesthesia, most existing summaries either focus on conceptual outlook or lack systematic comparison of technical platforms and original clinical validation data. The present review provides a comprehensive, clinically oriented synthesis of remote monitoring in anesthesia, with clear focuses on technical principles, perioperative applications, platform comparisons, and evidence-based clinical outcomes. We critically assess clinical advantages and implementation hurdles, covering the full perioperative pathway - preoperative evaluation, intraoperative observation, and postoperative recovery. A head-to-head comparison of fifth generation of cellular network technology (5G), the Internet of Things (IoT), and cloud computing platforms is presented to clarify their infrastructure demands and suitability for real-world clinical scenarios. Notably, this review summarizes available clinical evidence, including evidence from the Trial of Remote Continuous versus Intermittent National Early Warning Score Monitoring after major surgery (TRaCINg) - a feasibility randomized controlled trial whose exploratory findings suggest that continuous remote monitoring may reduce unplanned intensive care unit admissions, shorten hospital stays, and facilitate earlier detection of postoperative complications. We further propose innovative solutions including multimodal data fusion and federated learning-driven predictive analytics to overcome current limitations in data interoperability, security, and clinical effectiveness. Accordingly, this paper synthesizes the latest advances in remote monitoring technology in anesthesia, clarifies its unique value relative to existing reviews, and provides practical guidance for clinical translation and future research.

References

  1. 1.Chen, L., Cheng, S., Zhang, L., Li, H., Tu, Z., & Cai, X. (2026). Advances in remote monitoring technology applications in anesthesia: A narrative review. Medical Science Monitor: International Medical Journal of Experimental and Clinical Research. https://doi.org/10.12659/MSM.952513
Share:XLinkedIn

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service