Evidence map›Paper›PMID 41163177›Full record

ReviewPatient safety in surgery2025

Smart technologies and digital innovations for improving perioperative patient safety: a review.

Saeid Amini Rarani

Abstract readReview
In one paragraph

Review in Patient safety in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Saeid Amini RaraniStudent Research Committee, Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran. aminior@nm.mui.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart digital technologies are rapidly transforming perioperative care through tools such as clinical decision support systems, wearable sensors, and electronic checklists. Despite growing adoption, their specific impact on patient safety in the operating room remains insufficiently understood. This narrative review explores recent advancements in perioperative digital health and examines how innovations like AI-assisted systems, electronic WHO checklists, and physiological monitoring wearables contribute to safer surgical care. The evidence suggests that these tools can enhance complication detection, protocol adherence, and team communication. However, their effectiveness is tempered by challenges including alert fatigue, fragmented data systems, and added digital workload for healthcare staff. To realize their full potential, future implementations must prioritize usability, interoperability, and seamless workflow integration. Rigorous clinical trials and cost-effectiveness studies are also needed to establish the true value of smart technologies in improving surgical patient outcomes.

Indexed as

AI decision supportDigital healthPatient safetyPerioperative careSurgical checklistsWearable devices

Identifiers

PMID41163177
PMCPMC12573887

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.