Grant: Collaborative Health Research Projects
University of British Columbia
$204,766.00
Closed-loop control of anesthesia
FY 2014-15
Summary
We are all dependant on computers to perform complex and high risk tasks that make us safer, such as flying on commercialairplanes. Computers that automatically control such tasks are safer than humans as they are much better at performingrepetitive tasks with accuracy and precision. They do not necessarily act alone but can augment what we do (such asantilockingbrakes in our cars). Despite the potential to improve safety in healthcare; computer controlled automation has notbeen widely adopted.Errors causing significant harm are still a major problem in healthcare. For patients undergoing surgery, calculation of thecorrect drug dose is the most common error. These errors mostly occur due to human limitations e.g. fatigue, short attentionspan and patience while doing quick and accurate calculations repeatedly. Computer controlled drug delivery is the processof giving drugs to patients, where the computer calculates the dose and delivery timetable. This is especially important in theoperating room, as the anesthetist has to safely keep a patient unconscious while also performing a range of other tasks.Our goal is to develop iControl, an automatic control system for administering two key types of anesthesia drugs duringsurgery: one to keep the patient unconscious and another to suppress pain. As each patient responds differently to thesedrugs, the key to automated drug delivery is the ability to measure its effect; a problem our team has been working on for 10years. A device for measuring unconsciousness is commercialized and now we have invented a new way to measure painsuppression. Our goal is to combine these in a single device to optimize the delivery of anesthesia. iControl will use constantfeedback of drug effects to make frequent adjustments to the drug delivery rates. iControl will not replace theanesthesiologist, but instead act as an autopilot, thereby enhancing his abilities and improving the safety and quality of care.
Program
Collaborative Health Research Projects
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
446511-2013
Name nom
Dumont, Guy
Department département
Electrical and Computer Engineering
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
204766
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
360
Committee name en
Collaborative Health Research Projects Selection Panel
Committee name fr
Comité de sélection de projets de recherche concertée sur la santé
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
2 & 3
Nb partie
3
Application title
Closed-loop control of anesthesia
Keyword
NSERC
Application summary
We are all dependant on computers to perform complex and high risk tasks that make us safer, such as flying on commercialairplanes. Computers that automatically control such tasks are safer than humans as they are much better at performingrepetitive tasks with accuracy and precision. They do not necessarily act alone but can augment what we do (such asantilockingbrakes in our cars). Despite the potential to improve safety in healthcare; computer controlled automation has notbeen widely adopted.Errors causing significant harm are still a major problem in healthcare. For patients undergoing surgery, calculation of thecorrect drug dose is the most common error. These errors mostly occur due to human limitations e.g. fatigue, short attentionspan and patience while doing quick and accurate calculations repeatedly. Computer controlled drug delivery is the processof giving drugs to patients, where the computer calculates the dose and delivery timetable. This is especially important in theoperating room, as the anesthetist has to safely keep a patient unconscious while also performing a range of other tasks.Our goal is to develop iControl, an automatic control system for administering two key types of anesthesia drugs duringsurgery: one to keep the patient unconscious and another to suppress pain. As each patient responds differently to thesedrugs, the key to automated drug delivery is the ability to measure its effect; a problem our team has been working on for 10years. A device for measuring unconsciousness is commercialized and now we have invented a new way to measure painsuppression. Our goal is to combine these in a single device to optimize the delivery of anesthesia. iControl will use constantfeedback of drug effects to make frequent adjustments to the drug delivery rates. iControl will not replace theanesthesiologist, but instead act as an autopilot, thereby enhancing his abilities and improving the safety and quality of care.