Evaluation of Smartphone-Based Postoperative Recovery Tracking Systems

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Authors

DOI:

https://doi.org/10.17140/aoj.2023.v3.i01.pp01-06.2710

Keywords:

postoperative recovery, mobile health, wearable devices, remote patient monitoring, surgical site infection

Abstract

Smartphone-based systems for tracking postoperative recovery, ranging from symptom-diary applications to platforms that integrate wearable accelerometers and wound photography, have expanded rapidly as surgical care has shifted toward shorter admissions and earlier discharge. This review synthesizes the current evidence across three domains: randomized trials of patient-reported recovery apps in oncologic and ambulatory surgery, wearable-sensor systems that quantify physical activity as an objective recovery metric, and photograph-based wound surveillance for earlier detection of surgical site infection. Trial-level evidence indicates that apps built around a clear escalation pathway, where patient-entered data trigger clinician outreach, are more consistently associated with improved recovery quality and reduced unnecessary utilization than passive symptom logging alone. Wearable-sensor step counts show reasonable measurement validity, including among orthopedic patients using walking aids, but outcome-linked predictive evidence remains limited, while photograph-based wound assessment, increasingly paired with automated triage, is diagnostically credible but constrained by patient engagement over the full healing period. We conclude that the principal barriers to routine adoption are not diagnostic or technical but organizational: sustained patient engagement, clinical staffing to act on alerts, device interoperability, and health-economic evidence remain the gaps that will determine whether these tools become standard postoperative infrastructure.

References

Identification of Important Features in Mobile Health Applications for Surgical Site Infection Surveillance (2019) PMID:31464572.

Effect of Smartphone App Postoperative Home Monitoring After Oncologic Surgery on Quality of Recovery: A Randomized Clinical Trial (2023) JAMA Surgery, PMCID:PMC10099099.

The Effect of Mobile App Home Monitoring on Number of In-Person Visits Following Ambulatory Surgery: Protocol for a Randomized Controlled Trial (2015) PMID:26040252.

Quality of recovery after day care surgery with app-controlled remote monitoring: study protocol for a randomized controlled trial (2023) Trials, PMID:36759858, DOI:10.1186/s13063-023-07121-6.

A Smartphone App for the Management of Postoperative Home Recovery After Thoracic Surgery Procedures: A Pilot Study Using the Care4Today App (2024) PMID:39768766.

A Mobile Health Application to Track Patients After Gastrointestinal Surgery: Results from a Pilot Study (2023) Journal of the American College of Surgeons.

Does Adding Remote Monitoring to Standard Postoperative Care Help Improve Recovery after Surgery among Patients with Cancer (2020) PCORI Research Results.

Wearable devices to monitor recovery after abdominal surgery: scoping review (2022) BJS Open, DOI:10.1093/bjsopen/zrac031.

Wearable devices for patient monitoring in the early postoperative period: a literature review (2022) mHealth.

Accuracy of wrist-worn activity trackers for measuring steps in patients after major abdominal surgery: A validation study (2024) PMCID:PMC11536558.

Accelerometers can correctly count orthopaedic patients' early post-operative steps while using walking aids (2025) PMID:39759096.

Step count as a digital mobility outcome in orthopedics and orthopedic trauma surgery: a scoping review (2025) EFORT Open Reviews, DOI:10.1530/eor-2025-0165.

Comparing three wearable accelerometers to measure early activity after cardiac surgery (2022) PMCID:PMC9510817.

Continuous Wearable-Sensor Monitoring After Colorectal Surgery: A Systematic Review of Clinical Outcomes and Predictive Analytics (2024) PMCID:PMC12428718.

Use of photograph-based telemedicine in postoperative wound assessment to diagnose or exclude surgical site infection (2018) PMID:29509108.

Evaluation of Wound Photography for Remote Postoperative Assessment of Surgical Site Infections (2018) PMID:30422236.

Enhancing Surgical Wound Monitoring: A Paired Cohort Study Evaluating a New AI-Based Application for Automatic Detection of Potential Infections (2025) PMID:39768786.

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Published

2023-12-03

How to Cite

Benitez, M., Antoniou, J., & Novak, S. (2023). Evaluation of Smartphone-Based Postoperative Recovery Tracking Systems. Anesthesiology, 3(01), 01–06. https://doi.org/10.17140/aoj.2023.v3.i01.pp01-06.2710