LAB LOGA page on LabLog, a review site (not the lab's official page)
Perioperative Management Lab
Machine-translated · View original
A lab for perioperative management science that supports patients' journey from before surgery through postoperative recovery.
AboutAbout the lab
Supporting patients' journey from before surgery to after
The Perioperative Management Lab studies the management of patients before and after surgery, as well as long-term follow-up once time has passed since the operation.
The lab views everything from assessing a patient's condition before surgery to postoperative rehabilitation as a single path, and sees its role as helping patients move along that path smoothly.
Its goal is to train people who can coordinate a team from many perspectives, across professional boundaries.
Starting in fiscal year 2022 (Reiwa 4), the lab opened a course in the doctoral program for training clinical engineers to become instructors.
Key terms
- Perioperative period
- The period seen as one continuous span, from assessing the patient's condition before surgery through postoperative rehabilitation
- Delirium
- A temporary disturbance of consciousness and attention, such as after surgery
- Machine learning
- A computer technique in which rules are learned from large amounts of data and used for tasks such as prediction
ResearchResearch themes
The Perioperative Management Lab aims to advance the management of patients before and after surgery, as well as their follow-up afterward. Going forward, the lab will emphasize a multidisciplinary team approach and actively introduce AI and other technologies into perioperative management, with the aim of creating a new management science that includes the operation of medical devices.
*Illustrative imageResearch on management before and after surgery
The lab studies the management of patients before and after surgery. Its particular strength is perioperative management in cardiovascular surgery.
*Illustrative imageMachine learning model to predict delirium
The lab is developing a machine learning model that predicts delirium after cardiac surgery using cardiopulmonary bypass, based on preoperative and intraoperative indicators. This is a master's program theme.
*Illustrative imageReturn to society of older adults after surgery
Based on comprehensive geriatric assessment, the lab investigates and examines how older adults who have undergone cardiovascular surgery return to society.
*Illustrative imageRisk factors for prolonged postoperative intubation
The lab is investigating new perioperative risk factors for cases in which prolonged intubation is needed after cardiovascular surgery. This is a doctoral program theme.
MembersFaculty
- ProfessorTakayoshi Ueno
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Perioperative Management Lab
Acute and Palliative Care LabFaculty of Medicine, School of Health Sciences
Psychiatric and Mental Health Nursing LabFaculty of Medicine, School of Health Sciences
Chronic Illness Nursing LabFaculty of Medicine, School of Health Sciences
Gerontological Nursing LabFaculty of Medicine, School of Health SciencesThe information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “AusMAT team members performing surgery ( )” Department of Foreign Affairs and Trade / CC BY 2.0 (cropped)
- Research on management before and after surgery: “20250808 Intensive care unit bed” Ismael Olea / CC BY 4.0 (cropped)
- Machine learning model to predict delirium: “Heart-lung bypass” National Heart Lung and Blood Institute (NIH) / Public domain (cropped)
- Return to society of older adults after surgery: “Pacientes Rehabilitación Cardiaca” Hermes Ilarraza / CC BY 3.0 (cropped)
- Risk factors for prolonged postoperative intubation: “Respirator icu” Blogotron / CC0 (cropped)
- Related lab (Acute and Palliative Care Lab): “Patient lying in hospital bed in intensive care unit in Germany in 2015” Pittigrilli / CC BY-SA 4.0 (cropped)
- Related lab (Psychiatric and Mental Health Nursing Lab): “Nursing staff, St Mary's Hospital” Ardosion / CC BY-SA 4.0 (cropped)
- Related lab (Chronic Illness Nursing Lab): “Nurse checks blood pressure” Linda Bartlett (Photographer) / Public domain (cropped)
- Related lab (Gerontological Nursing Lab): “Alterssimulationsanzug agesuit ageexplorer Training” Gundolf Meyer-Hentschel / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.