Clinical trial NCT05106621: AN INTELLIGENT MODEL FOR THE OPERATIVE BLOCK
Official title: NEW MODEL OF ORGANIZATION OF AN OPERATIVE BLOCK (BLOC-OP)
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Artificial Intelligence in Operating Room
Keywords: Perioperative Medicine
Artificial Intelligence
Machine Learning
Operating Room
Lead sponsor: University of Parma
Sponsor class: OTHER
First posted: 2021-11-04
Enrollment: 142
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: all patients undergoing abdominal, thoracic, urological, vascular, orthopedic and gynecological and plastic surgery

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.


Eligibility criteria: 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.

Primary outcomes:
measure: Surgical Time Prediction
timeFrame: 1 year
Secondary outcomes:
measure: Outcome evaluation
timeFrame: 1 year
measure: Outcome evaluation
timeFrame: 1 year
Other outcomes:
Locations:
city: Parma
country: Italy
facility: Azienda Ospedaliera-Universitaria di Parma
Study officials:
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