Clinical Risk Assessments and Calculators
Recent studies have indicated that the current risk calculators are out of date and not specific to local contexts and population. This project is testing the hypothesis:
Can we build risk calculators that are more accurate for the local population and context?
Initially this project will focus to validate the current clinical risk of readmission assessment (the LACE score) and compare it with the “patient at risk for rehospitalisation” (PARR) score used in acute care settings in NZ. This project is designing and develop a predictive model for clinical readmission risk assessment in order to test the prediction accuracy within a short period of time such as 30, 60, 90-day readmission risk from the date of discharge.
Dr Mirza Baig – Principal Investigator – Health Informatics Specialist, Orion Health
Mr Reece Robinson, Principal Engineer, Orion Health
Dr Edmond Zhang, Senior Data Scientist, Orion Health
May Lin Tye, Graduate Business Analyst, Orion Health
Professor Rod Jackson, professor of epidemiology in the Section of Epidemiology and Biostatistics, UoA
Dr Robyn Whittaker, Public Health Physician, Waitemata DHB
Delwyn Armstrong, Health Intelligence Manager, Waitemata DHB
Mirza is a Health Informatics Specialist at Orion Health, with specialties in clinical decision support and health device data.