Electronic Health Records (EHR, EMR)

"With consolidated data, we now can measure areas where we were unable to before the transition. Now we can access the data quickly and are able to focus our attention on actions to improve performance."

CLEW Medical's ICU tool uses machine learning models to identify patients whose conditions are likely to deteriorate.

Although some improvements have been shown, researchers from MedStar Health and Yale say the "usability reality gap" remains wide.

Other winners include Galen Healthcare Solutions as the top overall IT services firm, Chartis Group as top overall healthcare management consulting firm and IBM Watson Health's Merge PACS as most improved software product.

Moving from manual assessment to automation has reduced code blues, saved lives and increased provider satisfaction.

The New York health system said an employee, who has been fired, inappropriately accessed electronic health records and viewed clinical information, including test results and diagnoses.

Practical machine learning applications can help improve safety and efficiency – automating medication history in hospital EHRs and aggregating patient records in consumer apps, says DrFirst President Cameron Deemer.

The pathway discovered at Michigan-based Beaumont Health allowed users to "cut in line" to schedule unauthorized appointments and circumvent current state mandates.

To develop the predictive tool, Northwell researchers used EHR data and demographic information to help triage those who need the most interventions to reduce mortality.

"If the benefits of electronic health records are to be fully realized, patients must be confident providers have selected the most effective system – not the one paying the largest kickbacks," said one federal agent.