IBM Watson Health debuts cloud solutions for value-based care

http://www.healthcaredive.com/news/ibm-watson-health-debuts-cloud-solutions-for-value-based-care/436527/

Dive Brief:

  • IBM Watson Health unveiled a new series of value-based cloud solutions aimed at helping providers, health plans and employers better manage their healthcare costs and quality.
  • The solutions — debuted at HIMSS17 in Orlando, FL—will integrate patient-level data from electronic health records and other sources to enhance understanding of different patient populations, risk factors and red flags at the individual, group and population level.
  • Watson Health also announced an agreement with Atrius Health to develop a cloud-based service to improve the doctor-patient experience.

Dive Insight:

The shift to value-based care and reimbursement models is forcing hospitals, payers and employers to rethink the way they manage risk in patient populations and come up with new approaches to improve quality while reducing costs. However, CMS’ new Quality Payment Program lacks needed IT infrastructure for collecting the data allowed by MACRA, which implemented the program, a recent HHS report concluded. But IBM is not the only company hoping to provide helpful solutions for value-based care. Earlier this month, Epic said it will incorporate care management content into its electronic health records (EHRs) and Health Catalyst deployed a new software tool that can be used to identify and align quality measure selection.

The value-based solutions set combines capabilities of Watson Care Manager, Truven Health Analytics, Phytel and Explorys. Initial applications, to be rolled out later this year, will focus on provider performance, patient engagement, bundled payments forecasting and management and custom analytics. Under the agreement with Atrius Health, Watson Cognitive Insights will combined the various influences on an individual’s health, including behavioral determinants, to improve primary care physicians’ effectiveness and efficiency and the quality and safety of ambulatory care. Among other things, the IBM solution could summarize key cognitive insights about a patient’s health status, assemble a de-identified cohort of similar patients and predict how those people might respond to various treatment options, according to the company.

During her keynote address at HIMSS17, IBM CEO Ginni Rometty talked of a new “golden age” in healthcare, thanks to cognitive computing, digitalhealth reports. Yet the industry must work to ease concerns about transparency, privacy of personal health information and artificial intelligence replacing highly skilled healthcare workers, she said. Rometty urged companies to invest in scalable — rather than piecemeal — solutions and to support an open platform, noting that will allow users to combine data being generated with their own insights.

What’s up with Apple in healthcare?

http://www.healthcaredive.com/news/whats-up-with-apple-in-healthcare/429706/

In recent months, Apple has been sending out smoke signals suggesting a major thrust into healthcare. The tech giant has bolstered its health team with four recent high-profile hires and forged partnerships with large healthcare systems. These include a clinical trial partnership with Beth Israel Deaconess Hospital and a precision medicine initiative with Scripps Translational Science Institute, according to Politico.

The company has also partnered with IBM, Johnson & Johnson and Medtronic on cognitive computing platform called Watson Health Cloud. The platform offers tailored data analytics services to clinicians.

With a current health team of about 100 strong, including medical device and medical sensor experts, the Cupertino, CA company appears poised to move beyond fitness apps to fully regulated medical technologies and clinical support systems.

In August, Apple confirmed its first digital health acquisition, personal health record startup Gliimpse. The Redwood, CA-based firm, which has raised about $1 million in seed funding, hopes to advance interoperability by aggregating health data into a single digital patient record.