Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

An evolutionary solution to anesthesia automated record keeping.

A A Bicker1, J S Gage, P J Poppers

  • 1Department of Anesthesiology, State University of New York at Stony Brook, 11794-8480, USA.

Journal of Clinical Monitoring and Computing
|February 19, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sequential compression device with thigh-high sleeves supports mean arterial pressure during Caesarean section under spinal anaesthesia.

British journal of anaesthesia·2003
Same author

Patient's perceptions of an anesthesia preoperative computerized patient interview.

Journal of clinical monitoring and computing·2003
Same author

Complex regional pain syndrome (CRPS) with resistance to local anesthetic block: a case report.

Journal of clinical anesthesia·2000
Same author

Catastrophic caudad spread of a peritonsillar abscess: a case report.

Anesthesiology·1999
Same author

Does open source have a future in medicine?

M.D. computing : computers in medical practice·1999
Same author

Report from SFIMAR. Informatics, ergonomics, and team work.

M.D. computing : computers in medical practice·1999
Same journal

Perceptions on artificial intelligence among anaesthesia and intensive care professionals: An international survey on attitudes, expectations and needs.

Journal of clinical monitoring and computing·2026
Same journal

Alert burden when monitoring patients' vital signs continuously at home.

Journal of clinical monitoring and computing·2026
Same journal

Not all anesthetic techniques fit the questions: editorial fit reflects scientific fit.

Journal of clinical monitoring and computing·2026
Same journal

Correction: Clinical validation of an adapted Eleveld Model for high‑dose propofol treatments for depression.

Journal of clinical monitoring and computing·2026
Same journal

Safety and efficacy of distal versus conventional radial artery cannulation for invasive blood pressure monitoring: a systematic review and meta-analysis.

Journal of clinical monitoring and computing·2026
Same journal

Data availability and usability of a remote device for vital sign monitoring on general wards and home: a single-center prospective, observational study.

Journal of clinical monitoring and computing·2026
See all related articles

An automated anesthesia record keeper evolved over five years, enhancing features and sophistication. This system supports anesthesia record keeping, education, research, and physiological data analysis.

Area of Science:

  • Medical Informatics
  • Anesthesiology

Background:

  • The development of automated anesthesia record keeping systems is crucial for improving patient care and research.
  • Previous systems may have lacked flexibility or advanced features for comprehensive data analysis.

Purpose of the Study:

  • To describe the five-year evolution of an automated anesthesia record keeper.
  • To highlight the system's features, cost-effectiveness, and support for educational and research activities.

Main Methods:

  • Utilized commodity PC hardware and software to minimize development costs.
  • Employed object-oriented analysis, programming, and design for adaptability.
  • Implemented an evolutionary strategy for motivation, risk management, and return on investment optimization.

Related Experiment Videos

Main Results:

  • The system underwent nearly a dozen developmental stages, incorporating new features and sophistication.
  • The use of commodity hardware and object-oriented principles reduced development costs and facilitated change.
  • The system now supports record keeping, education, research, and flexible physiological data plotting.

Conclusions:

  • The developed automated anesthesia record keeper offers a cost-effective and sophisticated solution.
  • Its evolutionary design supports ongoing development and diverse applications in anesthesiology.
  • The system enhances both clinical record keeping and the analysis of physiological data for improved outcomes.