Analytics

It is now preparing to undergo the Stage 7 EMRAM validation.

A predictive analytics tool at Piedmont Healthcare helps identify and engage with patients at risk for medication non-adherence. Melissa Robinson, the health system's population health pharmacy program manager, explains.

Improved patient experience has earned the Indonesian hospital a 4.9 Google review rating, among other outcomes.

A pilot study will collect data from smartphones and wearable technologies to predict opioid relapse.

For Davies Awardee Dr. Robert Jarve and his team from Corewell Health, studying data from a clinic serving high-risk Medicaid patients helped them understand what's driving most of the clinic's ED utilization.

Synthetic data supports privacy and early research access – but must meet standards for fidelity, usability and security to earn trust, says Steffen Hess, Health Data Lab head at Germany's Federal Institute for Drugs and Medical Devices (BfArM).

When data analysts and clinicians build trust and rapport, they can design safer patient care tools that make their jobs easier, say Dr. Vinay Vaidya and Dr. Wendy Bernatavicius of Phoenix Children's Hospital.

They're used to forecast the longitudinal behavior of trial participants – and by predicting individuals' likely response to a drug, can improve data quality and shorten trial timelines, says Unlearn CEO Steven Herne.

Automated functionalities and analytic tools are soon coming to EMC Healthcare's EMR system. 

The Montreal health system is focused on helping its leaders drive care transformation and giving them the tools to do so. Access to data is essential, and self-service analytics are key to that goal.