Analytics

Innovation is a core competency that needs to be the responsibility of everyone, says HIMSS20 speaker Kristen Raber.

That's 10 straight years for the IT giant, which in addition to Overall Software Suite won top marks for its acute care and ambulatory EHRs, application hosting, patient portal and more.

The vendor surveyed provider organizations and found a walk-don’t-run approach to artificial intelligence – administrative, then clinical – unfolding across the industry.

David Grauer, senior VP at Health Catalyst, says in addition to providing higher quality at a lower cost for patients, we need to get better at identifying payment models that reward physicians in the value-based environment.

Targeting CIOs, CFOs and other health IT leaders, five healthcare financial information systems experts offer best practices for bettering finance IT performance.

Digital health requires a healthy data pipeline that’s aggregated, normalized, and deduplicated, and ready to be integrated into workflows across the health ecosystem for care coordination, analytics and machine learning.

Improvements in patient outcomes and population health will be enabled as a culture of data-driven decisionmaking takes root and quality improvement processes mature.

As regulatory oversight for predictive decision support evolves, certain best practices can help health systems get the most from machine learning-powered CDS models.

Artificial intelligence will also continue to be a big focus, as it becomes more clear which startups are succeeding in their initial target sectors. VCs are also eyeing genomics analytics tools, as well as other more practical technologies.

The five principles all stem from the basic viewpoint that AI-enabled solutions should complement and benefit customers, patients, and society as a whole.