Category: New Data Sources

Using Council Data to Investigate Health Outcomes

Summer of Research project by Kaito Goto, University of Auckland, supervised by Quentin Thurier and Dan Exeter (Precision Driven Health and Orion Health). Auckland Council has a range of geospatial and infrastructure data available, which could potentially be linked with health data to provide insights. The purpose of this project was to investigate the data …

Adapting a Mobile App Development Framework for M-Health Solutions

Mobile health (mHealth) is the use of mobile devices, sensor devices, and wireless technologies in healthcare. There are many advantages and opportunities of using mHealth across all areas of healthcare. There are several use cases where mHealth can provide significant benefits for example – urgent care, wellness, medication tracking, appointments and access to electronic health …

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 Māori – who have higher rates of ischaemic heart disease (or coronary heart disease) and stroke but have lower access to health care. It is …

How Vital Are Your Vital Signs?

Are we prepared to utilise the power of predictive analytics, machine learning, deep learning and precision medicine – with the data we have today? Undoubtedly, more data is being captured and analysed today than we ever imagined. Breakthrough technologies such as cloud computing, big data, and the Internet of Things (IoT) have matured rapidly and …

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 …

Creating a Research Repository

When Precision Driven Health first put out a call for research proposals in July 2016, we were a little staggered to receive twice the number of submissions we’d expected. In total, 70 proposals on new ways of using data to drive better outcomes in healthcare were put forward for consideration. As we began to assess each …

Combining Primary and Secondary Care Data

New Zealand has a huge advantage in being one of the few countries in the world with a highly digitised health system. There is over 15 years of primary care data (from general practices) that has been collected, providing researchers with a rich source of information to use when investigating new ways to enable precision …

Mapping the Bugs in Your Body: The Microbiome Report

Precision Driven Health and Orion Health release Microbiome report By mapping and understanding the trillions of bugs that live in and on the human body, medical science has the potential to stop certain diseases forming or help an individual fight mental illness. Orion Health and the research partnership Precision Driven Health today released a report …

No Data Left Behind

Humans are inconsistent creatures, especially when it comes to our health. During periods of serious illness, we are constantly in need of medical attention, and then we get well and might not see a health professional for years. This creates an extremely uneven Electronic Health Record (EHR), which is actually very complex to begin with, …

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 …