AN INTELLIGENT MODEL FOR THE OPERATIVE BLOCK

• Conditions: Artificial Intelligence in Operating Room

• Registration Number: NCT05106621
• Lead Sponsor: University of Parma

Brief Summary

Perioperative medicine is characterized by a very delicate path; it is composed, in fact, of a series of highly specialized clinical measures managed by various professionals (surgeons, anesthetists, intensivists, nurses, etc.), who work together to ensure the best quality of all phases of the path (preoperative , intra and postoperative). On the other hand, it is necessary to underline the huge resources needed to provide surgical services. Organizational optimization, based on specific analyzes, could lead to a more careful management of resources in this area, avoiding waste due to early closure of the operating room or unexpected extension of the same. In recent years, precisely to respond to the need to analyze large quantities of information, the use of artificial intelligence techniques, and in particular of machine learning, is becoming increasingly popular, a branch of artificial intelligence that aims, through the use of algorithms and statistical model, to infer new knowledge in a way automatic. Such technologies appear to possess excellent analytical skills both in the clinical and, above all, organizational fields. The data that are emerging in the literature on this issue, although still the first in this regard, seem to confirm this hypothesis.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2021-10-11
• Study First Submitted QC: 2021-10-22
• Study Start: 2021-11-01
• Study First Posted: 2021-11-04
• Status Verified: 2022-05
• Last Update Submitted: 2022-05-16
• Last Update Posted: 2022-05-17
• Primary Completion: 2022-11-30
• Study Completion: 2022-11-30

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 142

Inclusion Criteria

all patients undergoing surgery who sign the informed consent form will be included.

Exclusion Criteria

refusal of the patient to the study in question.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Surgical Time Prediction	1 year	Prediction of time spend in oprating room

Secondary Outcome Measures

Name	Time	Method
Outcome evaluation	1 year	Rate of surgical procedures cancellation

Trial Locations

Locations (1)

Azienda Ospedaliera-Universitaria di Parma; 🇮🇹 Parma, Italy