Category: New Data Sources

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/

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 …

Vital Sign Monitoring and Decision Support System

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 scores, skills and knowledge of responders and availability of responders in hospitals means these patients may not receive timely, expert care when they need it, potentially leading to severe consequences. …

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 research. We have reviewed publicly available health datasets in New Zealand and: (1) Produced a website to collate links to this data (2) Analysed relationships between …