Artificial Intelligence
Analytics
Michael Draugelis says artificial intelligence has big potential to drive analytics on varied and voluminous clinical data – but care must be taken to enable consistent and repeatable performance.
Patient Engagement
AI, IoT, cybersecurity, disaster preparedness and patient experience are prime concerns, according to PwC.
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Healthcare leaders address artificial intelligence, population health and precision medicine adoption.
Workflow
Hospitals should look to automotive, search and business process management realms for lessons learned about artificial intelligence, machine learning and cognitive computing.
Analytics
Healthcare outpaced all other industries in job growth for freelancers while finishing second to staffing when it comes to non-freelancers.
Electronic Health Records
Chief executive shares his vision for the future of genomics and offers a glimpse of the AI-based EHR the company is exploring.
Mobile Health IT
Here's what you can expect in the year ahead.
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Seventy-seven percent of respondents ranked budget or financial challenges among their top three challenges related to AI.
Data Management
The company also made DeepVariant, which can be used to improve the accuracy of genomic sequencing, available through Google Cloud.
Analytics
Hospitals are proving the merits of machine learning and cognitive computing, but deep learning and data dependence are key.