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 ... Read More
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 ... Read More
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 ... Read More
Summer of Research project by Tuan Dung Ngo, AUT, supervised by Associate Professor Robyn Whittaker (University of Auckland and Waitemata DHB). Mobile technology has developed rapidly ... Read More
Summer of Research project by Yicheng Shi, University of Auckland, supervised by Quentin Thurier (Orion Health). Clinical data, collected by healthcare providers when treating patients, ... Read More
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 ... Read More
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: ... Read More
Summer of Research project by Enno Huang, University of Auckland, supervised by Edmond Zhang (Orion Health and Precision Driven Health) and Yun Sing Koh (University ... Read More
Recent studies have indicated that the current risk calculators are out of date and not specific to local contexts and population.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 ... Read More
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 ... Read More
Summer of Research project by student Aaron Zhang (The University of Auckland), supervised by Dr Edmond Zhang (Orion Health). It takes time and money to ... Read More
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 ... Read More
Summer of Research project by Hamish Huggard, University of Auckland, supervised by Dr Edmond Zhang (Precision Driven Health and Orion Health). Automatically identifying drug names, ... Read More
Summer of Research project by James Zhang, University of Auckland, supervised by Dr Michael O’Sullivan Jnr (University of Auckland). New software could flag issues early ... Read More
Currently, treatment decisions for elective surgery are currently based on clinicians’ assessments of the benefits the surgery will bring to the patient. This assessment is ... Read More
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 ... Read More
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 ... Read More
Summer of Research project by Harper Shen, University of Auckland, supervised by Quentin Thurier (Orion Health) and Dr Yun Sing Koh (University of Auckland). Neural ... Read More
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 ... Read More
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 ... Read More
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 ... Read More
For patients and clinicians, deciding whether to go ahead with major surgery or not can be difficult. Your surgeon and anaesthetist will discuss both the ... Read More
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 ... Read More
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 ... Read More
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 ... Read More
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 ... Read More
Summer of Research project by Lucy McSweeney, University of Auckland, supervised by Dr Michael O’Sullivan Jnr (University of Auckland) Creating a model of how patients ... Read More
During admission to hospital, patients often show signs of acute physical deterioration before a serious event occurs. Current variation in vital signs charts, early warning ... Read More
