Category: Projects

Missing Health Data Imputation

Medical professionals analysing electronic health data often have to deal with data sets that are incomplete. If this data is not handled correctly it can result in negative outcomes such as bias, complications and ultimately invalid conclusions. Finding ways to deal with missing data is at the heart of the project Value added by Multiple …

A Public Health Calculator Website for Kiwis

Calibrated for Kiwis As a small country in the South Pacific, our uniqueness is often overlooked by health science researchers. Medical assessment tools are created and used based on research conducted in other countries with larger populations. While we have many similarities with these populations, we are not an identical match. Which is why one …

Automated De-identification

Separating patients from their records The idea that a patient’s Electronic Health Record (EHR) has a secondary value, beyond the immediate treatment of a single individual, is becoming more prevalent as medical research incorporates machine learning (ML) practices. The information an EHR contains, such as symptoms, treatment plans, response to medication, can be extracted using …

message map

Automated Message Mapping

This project involves automation of systems for mapping target fields to and from HL7 messages to enable automation of this previously laborious, manual process. PI: Junjae Lee, Orion Health Junjae Leeprecisiondrivenhealth.com/researchers/junjae-lee/

Smart Search: Clinical Document Semantic Search

A ‘Google’ for Electronic Health Records  Ten minutes can be an eternity for medical professionals that need to make split-second decisions to save lives. If they miss a single piece of vital information it could prove critical – but equally, if they waste precious time searching for data, that too can be damaging to the …

Smart Medication Reconciliation

Automating for accuracy Patients’ regular medicines are often inaccurately prescribed when they transfer from hospital to home; a major source of medication errors and iatrogenic harm. Medicines reconciliation (MedRec) is an evidence-based process where clinicians manually compare a patient’s regular medicines with what is prescribed in hospital then reconciling any inaccuracies. While MedRec is effective …

See How They Grow

In partnership with Cure Kids and the National Science Challenge A Better Start, PDH supports the work led by The University of Auckland’s Gayl Humphrey on the project “See how they grow: Developing and trialling an interactive Child Growth Chart for New Zealand children”. In this project, Ms Humphrey and her team will design, develop, and …

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? The focus of this research is to validate the current clinical risk of …

Spatio-Temporal Big Data Analysis of Adherence Behaviour in Chronic Disease

Many patients in New Zealand don’t receive the benefits from their medications due to poor medication behaviour, referred to as medication adherence. Previously, data related to medication adherence has been gathered using questionnaire surveys based on the Health Belief Model (HBM), a psychological model that attempts to explain and predict health behaviours. This research study …

Integrating Primary and Secondary Healthcare Systems

Data from primary and secondary care has the potential to enhance the accuracy of decision making in healthcare. However, due to the fragmented nature of the health system, this information is often siloed, making it difficult for clinicians to access and share with other providers. If healthcare data across primary and secondary sectors complemented each …