All across healthcare, older approaches are being replaced by newer and more effective tools. Some of the major trends that are driving these changes include:

Creating deep value for patients by developing patient histories that can be used to predict and guide treatment pathways. Other trends include leveraging increasingly large stores of patient data to benefit all parties in the value chain. These include patients, doctors, practices, pharmacists, and laboratory staff.

Simplifying the collection of patient data to create data that can be used to uncover trends and opportunities for enhanced patient treatment. These insights can be used to unlock more value, affordability, and improved care.

Some of the many use cases include Patient Health Dashboards that allow practitioners to arrive at more informed and better decisions about patient care using healthcare data analytics. In large organizational settings, data can help better allocate precious resources by the creation of dashboards and usage models.

Diagnostics can be much improved as patient vitals can be measured in real-time through wearables. This leads to better and more accurate prescription compliance and medication management. Lastly, predictive models can take patient care to the next level by predicting the likelihood of readmission and the risk of chronic conditions.