Analytics

Harun Rashid, CIO of Children's Hospital of Pittsburgh of UPMC, describes how new patient engagement initiatives at his organization are helping patients, parents and care teams improve treatment plans together.

The top reason for using advanced analytics, especially within population health programs, is enabling interventions that prevent health declines, respondents said.

Fewer than one-third of healthcare providers polled for the newest HIMSS Analytics Essentials Brief are currently pursuing precision medicine initiatives – with the majority who don't saying that limitations in funding, technology or expertise are holding them back. But that's poised to change very soon.

The artificial intelligence subsidiary launched a new research partnership to reduce the amount of time it takes to plan radiotherapy treatment for certain cancers.

As hospitals shift into patient risk assessment from disease prevention, the need for precision medicine tools will grow, a new HIMSS Analytics study found.

The new Population Health Explorer feature can show hospital executives and physicians where specific healthcare services are needed most.

The hope is that radiology optimization and predictive modeling will pay dividends, with innovations scalable to other health systems.

OCHIN, the multi-state information network serving 170 health organizations and more than 10,000 clinicians, has launched Acuere, a real-time data aggregation system meant to help drive clinical improvements and operational efficiencies.

How should population health look and work? There's a five-step process to getting there, said Michael Dulin, MD, director of the academy for population health innovation at the University of North Carolina at Charlotte.

Findings shows respondents lost a total of 2.36 TB of data last year, which cost, 22 hours of downtime for each incident and a total of $900,000 on average.