Investigation of the impact of automatic creation of explanatory document using application created with Python on the work time of anesthesiology preoperative consultation services.

Investigation of the impact of automatic creation of explanatory document and IC template using application created with Python on the work time of anesthesiology preoperative consultation services. - Investigation of the impact of automatic document creation assistance application on the work time of anesthesiology preoperative consultation services.

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000056300

Enrollment

Registered

2024-11-29

Start date

2024-11-29

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anesthesiologist&#39

Interventions

After the application operation explanation and trial operation, measure the document creation time under the use of the application. Measure the document creation time without the use of the applicat

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Anesthesiologist at Shinshu University Hospital

Exclusion criteria

Exclusion criteria: 1. Consent cannot be obtained from the individual 2. The principal investigator determines that the subject is inappropriate for the study

Design outcomes

Primary

Measure	Time frame
Time to create anesthesia documentation	—

Secondary

Measure	Time frame
Satisfaction questionnaire for the subject (anesthesiologist)	—

Countries

Japan

Contacts

Public ContactMasaki Takekoshi

Shinshu University Hospital the department of anesthesiology and resuscitology

masakit@shinshu-u.ac.jp0263372670

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026