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Case Study

Image by Richard Horvath

Digitising Business Services

​A primary and secondary care provider was losing connections with patients once they left their care facilities and had limited ability to guide patients down patient care pathways. There are also high costs involved in delivering outpatient care services, as a result of technology limitations and an inability to securely share sensitive data across care providers.

Opportunity

There was an opportunity to digitise parts of the business and establish a set of managed care pathways for hospital and outpatients, including NDIS/TAC clients. This would realise an integrated patient care model, from primary care in hospitals to follow-on care with care providers and allied health workers. This included the opportunity to automate processes involved in secondary care and utilise artificial intelligence to track patient progress, from diagnosis through to recovery.

Hypotheses

  • Is it possible to construct a series of patient care pathways that utilise artificial intelligence to track patient progress, from diagnosis through to recovery?

  • Is it possible to use integrated datasets to predict when patient or NDIS/TAC client intervention is required, for minimising impacts to their health?

  • Is it possible to integrate the patient, or NDIS/TAC client, physiological data, clinical data and medicinal data - in order to understand changes that may lead to negative impacts on patient health and recovery?

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