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Peer-reviewedCC BY-NC-ND 4.0Anesthesiology

Potential of Remote Patient Monitoring in Perioperative Care: A Narrative Review

4 affiliations
  1. 1Department of Anesthesiology, Mass General Brigham, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts.
  2. 2Population Health Research Institute, Hamilton, Canada; Departments of Health Research Methods, Evidence, and Impact and Medicine, McMaster University, Hamilton, Canada; World Health Research, Hamilton, Canada; Outcomes Research Consortium, Center for Outcomes Research, UTHealth Houston, Houston, Texas.
  3. 3Population Health Research Institute, Hamilton, Canada; Departments of Health Research Methods, Evidence, and Impact and Medicine, McMaster University, Hamilton, Canada; World Health Research, Hamilton, Canada.
  4. 4Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Abstract

Remote patient monitoring is moving closer to routine implementation and has the potential to become an important component of perioperative care: with wearables being able to monitor increasingly more biosignals with acceptable accuracy, the technological foundation is being laid for perioperative management that extends beyond hospital walls. Preoperatively, remote patient monitoring data are being explored for risk prediction and prehabilitation with the goal of improving risk stratification and better preparing patients for surgery. Postoperatively, continuous monitoring on wards and after discharge can enable earlier detection and intervention in case of deterioration, with the potential to improve patient safety and facilitate early discharge. Large clinical trials are ongoing and will provide further evidence on outcomes. With increasing emphasis on perioperative care, a new subspecialty of physicians may emerge who will act as perioperative care navigators, coordinating artificial intelligence–supported clinical decision-making. This narrative review synthesizes infrastructure, devices, and implementation across the surgical continuum.

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BibTeX
@article{simeth2026potential,
  title = {{Potential of Remote Patient Monitoring in Perioperative Care: A Narrative Review}},
  author = {Leonard Simeth and P. J. Devereaux and Michael McGillion and Jochen D. Muehlschlegel and Jakob Wollborn},
  journal = {Anesthesiology},
  year = {2026},
  month = aug,
  doi = {10.1097/aln.0000000000006217},
  url = {https://doi.org/10.1097/aln.0000000000006217},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Potential of Remote Patient Monitoring in Perioperative Care: A Narrative Review
AU  - Leonard Simeth
AU  - P. J. Devereaux
AU  - Michael McGillion
AU  - Jochen D. Muehlschlegel
AU  - Jakob Wollborn
PY  - 2026
DA  - 2026/08/25
JO  - Anesthesiology
DO  - 10.1097/aln.0000000000006217
UR  - https://doi.org/10.1097/aln.0000000000006217
AB  - Remote patient monitoring is moving closer to routine implementation and has the potential to become an important component of perioperative care: with wearables being able to monitor increasingly more biosignals with acceptable accuracy, the technological foundation is being laid for perioperative management that extends beyond hospital walls. Preoperatively, remote patient monitoring data are being explored for risk prediction and prehabilitation with the goal of improving risk stratification and better preparing patients for surgery. Postoperatively, continuous monitoring on wards and after discharge can enable earlier detection and intervention in case of deterioration, with the potential to improve patient safety and facilitate early discharge. Large clinical trials are ongoing and will provide further evidence on outcomes. With increasing emphasis on perioperative care, a new subspecialty of physicians may emerge who will act as perioperative care navigators, coordinating artificial intelligence–supported clinical decision-making. This narrative review synthesizes infrastructure, devices, and implementation across the surgical continuum.
SN  - 0003-3022
SN  - 1528-1175
ER  -