Evolving Healthcare Analytics for a Thriving Digital-Health Ecosystem
Data analytics in healthcare is essential for both clinicians and patients. For clinicians, data analytics can help to identify high-risk patients, track patient outcomes, and improve patient care. It can also help to improve the efficiency of healthcare systems and reduce costs. Clinicians however need access
For patients, data analytics can help to improve the quality of care they receive. By identifying trends and predicting outcomes, healthcare professionals can provide personalised care that is tailored to the needs of the patient. This can lead to better outcomes and a higher quality of life for patients.
The key to all this is data and the analytics behind it, and whilst the clinicians are the experts in their field when it comes to medical care, they also rely heavily on data to be able to do their job. Thus the data needs to be of high quality, available in real-time (or as close to), and it needs to be analysed appropriately.
In this article we explore first hand case studies from Australian healthcare organisations to better understand how evolving healthcare analytics is creating a thriving healthcare ecosystem. Read on to learn more about:
- Abolishing siloes and getting the most out of your data
- Better leveraging electronic medical records
- How analytics are optimising care outcomes and building better healthcare systems
- Data Management & Analytics
- Health & Human Services