Your browser doesn't support javascript.
loading
Routine Automated Assessment Using Surgical Intelligence Reveals Substantial Time Spent Outside the Patient's body in Minimally Invasive Gynecological Surgeries.
Levin, Ishai; Bar, Omri; Cohen, Aviad; Michaan, Nadav; Asselmann, Dotan; Wolf, Tamir.
Afiliação
  • Levin I; Department of Gynecology (Levin, Cohen, and Michaan), Lis Maternity Hospital, Tel Aviv Sourasky Medical Center Associated with Tel Aviv University, Tel Aviv, Israel. Electronic address: ishail@tlvmc.gov.il.
  • Bar O; Theator Inc. (Bar, Asselmann, and Wolf), Palo Alto, California.
  • Cohen A; Department of Gynecology (Levin, Cohen, and Michaan), Lis Maternity Hospital, Tel Aviv Sourasky Medical Center Associated with Tel Aviv University, Tel Aviv, Israel.
  • Michaan N; Department of Gynecology (Levin, Cohen, and Michaan), Lis Maternity Hospital, Tel Aviv Sourasky Medical Center Associated with Tel Aviv University, Tel Aviv, Israel.
  • Asselmann D; Theator Inc. (Bar, Asselmann, and Wolf), Palo Alto, California.
  • Wolf T; Theator Inc. (Bar, Asselmann, and Wolf), Palo Alto, California.
Article em En | MEDLINE | ID: mdl-38848990
ABSTRACT

OBJECTIVE:

To demonstrate the use of surgical intelligence to routinely and automatically assess the proportion of time spent outside of the patient's body (out-of-body-OOB) in laparoscopic gynecological procedures, as a potential basis for clinical and efficiency-related insights.

DESIGN:

A retrospective analysis of videos of laparoscopic gynecological procedures.

SETTING:

Two operating rooms at the Gynecology Department of a tertiary medical center.

PARTICIPANTS:

All patients who underwent laparoscopic gynecological procedures between January 1, 2021 and December 31, 2022 in those two rooms.

INTERVENTIONS:

A surgical intelligence platform installed in the two rooms routinely captured and analyzed surgical video, using AI to identify and document procedure duration and the amount and percentage of time that the laparoscope was withdrawn from the patient's body per procedure.

RESULTS:

A total of 634 surgical videos were included in the final dataset. The cumulative time for all procedures was 639 hours, of which 48 hours (7.5%) were OOB segments. Average OOB percentage was 8.7% (SD = 8.7%) for all the procedures and differed significantly between procedure types (p < .001), with unilateral and bilateral salpingo-oophorectomies showing the highest percentages at 15.6% (SD = 13.3%) and 13.3% (SD = 11.3%), respectively. Hysterectomy and myomectomy, which do not require the endoscope to be removed for specimen extraction, showed a lower percentage (mean = 4.2%, SD = 5.2%) than the other procedures (mean = 11.1%, SD = 9.3%; p < .001). Percentages were lower when the operating team included a senior surgeon (mean = 8.4%, standard deviation = 9.2%) than when it did not (mean = 10.1%, standard deviation = 6.9%; p < .001).

CONCLUSION:

Surgical intelligence revealed a substantial percentage of OOB segments in laparoscopic gynecological procedures, alongside associations with surgeon seniority and procedure type. Further research is needed to evaluate how laparoscope removal affects postoperative outcomes and operational efficiency in surgery.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article