Category: Predictive Analytics

Harnessing Data to Investigate Surgical Outcomes

The NMDS is a set of patient health information collected on everyone who visits a health organisation in New Zealand. The information is anonymised and predominantly used for small scale administration and auditing. For this study, we utilised the records of all patients in NZ who had undergone surgery in 2013-2014 as our data set. …

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, …

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 …

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Recent studies have indicated that the current risk calculators are out of date and not specific to local contexts and population.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 …

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, by applying machine learning techniques (in particular, deep neural networks). The difficulty with this approach is that data from EHRs is often inconsistent, episodic, exists …

nzRISK: A surgical risk calculator for New Zealand patients

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 benefits and risks of having surgery to help with the shared decision making process. In the past, many clinicians have found it difficult to accurately assess the risk of having …

HOPE: Health Outcomes Prediction Engine

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 derived from the clinicians’ personal experience and knowledge of published evidence of effectiveness. In New Zealand, eligibility for surgery is based on a prioritisation score derived from this clinical assessment …