Research Projects

Our current and completed research projects, in all theme areas, are listed below.

A Deep Learning Platform for GP Referral Triage

A Deep Learning Platform for GP Referral Triage

Countering bias in the health system Heart disease is the leading cause of preventable mortality in Aotearoa, New Zealand. It is a disease which disproportionately affects certain groups such as ...
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A Patient's Journey for an Elective Surgery

A Patient’s Journey for an Elective Surgery

An Automated Approach Towards Prioritisation and Preoperative Assessment The path to an elective surgery can contain many difficulties for both patients and clinicians. It is a lengthy, as well as ...
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A Public Health Calculator Website for Kiwis

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 ...
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Automated De-identification

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 ...
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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 ...
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Clinical Risk Assessments and Calculators

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Recent studies have indicated that the current risk calculators are out of date and not specific to local contexts and population.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 ...
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Deep Representation Learning from Electronic Health Records

Deep Representation Learning from Electronic Health Records

As Electronic Health Records (EHRs) become more ubiquitous, healthcare providers are beginning to appreciate the benefits of using this data for ‘secondary applications’, such as disease diagnosis and readmission prediction, ...
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Feasibility of Analysis of Lab Result Patterns for Patient Results

Feasibility of Analysis of Lab Result Patterns for Patient Results

This feasibility study, in partnership with Vensa Health, is answering the following questions: How can we accurately automate interpretation and dissemination of lab results to save clinician time, while keeping ...
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Health Outcome Prediction Engine

Health Outcome Prediction Engine

Health Outcome Prediction Engine (HOPE), comprising HOPE for Stroke HOPE for AAA (Abdominal Aortic Aneurysm) HOPE for Patient Reported Outcome Measures Treatment decisions for elective interventions such as hip replacement ...
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information consent best practice

Information Consent Best Practice

Data-driven healthcare will result in a “tsunami” of information from existing and new data sources including patient-generated data from genetic testing, consumer devices such as wearable fitness apps, and social ...
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integrating systems

Integrating Primary and Secondary Healthcare Systems

Primary and secondary healthcare data has the potential to enhance the accuracy of healthcare decision making; however, it is often siloed and difficult to share and access these data types ...
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Interpretable Machine Learning

Interpretable Machine Learning

The “black box” metaphor is commonly used to refer to the lack of understanding of how modern Machine Learning (ML) systems make decisions. Researchers are working actively to remedy this ...
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Making Existing Data Sources Available

Making Existing Data Sources Available

New Zealand has excellent health data due to national ID number and high quality data scientists. We seek to link them together by making health data easier to access for ...
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Missing Health Data Imputation

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 ...
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See How They Grow

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 ...
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Smart Medication Reconciliation

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 ...
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Smart Search: Clinical Document Semantic Search

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

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 ...
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summer 2016 students

Summer of Research 2016/2017

Student Projects Successful in 2016-2017 The Precision Driven Health partnership had an exciting summer of research in 2016-2017 with 11 students completing precision medicine projects. The students, from the University ...
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surgical outcome

Surgical Outcome Calculator

Present methods for describing surgical outcomes greatly underestimate the risks to patients. The aim of this project is to find a method that describes post-operative risk more accurately and then ...
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Vital Sign Monitoring and Decision Support System

Vital Sign Monitoring and Decision Support System

In its first phase, this research developed a real-time mobile-based vital signs monitoring application in the hospital context using medical devices and clinical decision support techniques. The application, VitalsAssist, was ...
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