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Grant: Collaborative Research and Development Grants

University of Waterloo

$70,423.00

Development of predictive analytics and business intelligence tools for improved patient management using intelligent decision support systems

FY 2013-14

Summary
The purpose of this project is to develop predictive analytics and business intelligence tools that can be integrated into the decision support system being developed by the healthcare partner; Alpha Global IT as a module of the their flagship electronic Medical Record, Globemed. Alpha Global IT is committed to the development of advanced healthcare IT solutions that utilize predictive analysis and business intelligence in order to improve the quality of healthcare for patients within the Province and Nationwide. Predictive analytics and modeling tools will be used to ""stratify"" the population, identify at-risk patients, provide better provision screening tests, and identify gaps in care. In this particular research, the research team tackle the following tasks that are of interest to the Healthcare partner: (1) developing predictive analytics and modeling tools that utilize Bayesian networks to forecast the load on the healthcare system in terms of the projections for new incidences of cancer. These predictive models can hence be used to provide insight into the resources needed by the healthcare system in order to effectively manage the projected cancer occurrences and provide the level of care needed, (2) extend Alpha Global IT's nonlinear optimization tools through the introduction evolutionary computation methods in order to create a scheduling tool for improved allocation of clinical resources. This tool can be used to achieve healthcare organization performance targets (required number of procedures, wait time requirements, geographic locations, etc.). Business intelligence tools are needed at the point of care, so physicians can quickly interpret data, define ""health interventions,"" and support actions such as specialist referrals, and disease management. On this front, this research program plans to introduce novel tools for adaptive information extraction from clinical records to help create evidence for best practice. Such adaptive information extraction tools will be a key feature of the clinical decision support system introduced by the healthcare partner.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
446410-2012
Name nom
Melek, William
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2012
Award amount
70423
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
9000
Research subject group en
Medical sciences
Research subject group fr
Sciences médicales
Research subject en
Medical sciences
Research subject fr
Sciences médicales
Partie
1
Nb partie
3
Application title
Development of predictive analytics and business intelligence tools for improved patient management using intelligent decision support systems
Keyword
NSERC
Application summary
The purpose of this project is to develop predictive analytics and business intelligence tools that can be integrated into the decision support system being developed by the healthcare partner; Alpha Global IT as a module of the their flagship electronic Medical Record, Globemed. Alpha Global IT is committed to the development of advanced healthcare IT solutions that utilize predictive analysis and business intelligence in order to improve the quality of healthcare for patients within the Province and Nationwide. Predictive analytics and modeling tools will be used to ""stratify"" the population, identify at-risk patients, provide better provision screening tests, and identify gaps in care. In this particular research, the research team tackle the following tasks that are of interest to the Healthcare partner: (1) developing predictive analytics and modeling tools that utilize Bayesian networks to forecast the load on the healthcare system in terms of the projections for new incidences of cancer. These predictive models can hence be used to provide insight into the resources needed by the healthcare system in order to effectively manage the projected cancer occurrences and provide the level of care needed, (2) extend Alpha Global IT's nonlinear optimization tools through the introduction evolutionary computation methods in order to create a scheduling tool for improved allocation of clinical resources. This tool can be used to achieve healthcare organization performance targets (required number of procedures, wait time requirements, geographic locations, etc.). Business intelligence tools are needed at the point of care, so physicians can quickly interpret data, define ""health interventions,"" and support actions such as specialist referrals, and disease management. On this front, this research program plans to introduce novel tools for adaptive information extraction from clinical records to help create evidence for best practice. Such adaptive information extraction tools will be a key feature of the clinical decision support system introduced by the healthcare partner.