PRO+ Premium Content/Pulse

Thank you for joining!
Access your Pro+ Content below.
July 2018, Vol. 6, No. 3

Healthcare AI struggles with funding and data quality

In the era of healthcare AI, tools can unlock buried clinical information that predicts risks, provides reasons for intervention, raises the quality of care and reduces medical costs. As a result, healthcare organizations are shifting their priorities to focus on data quality and additional strategies that circumvent tight budgets as they move to the next phase of building on previous health IT investments. After nearly a decade of federal health IT spending and more than $30 billion in government incentive payments disbursed to hospitals, physician offices and other medical settings that transferred patient data from paper-based systems to electronic health records (EHRs), healthcare organizations now find that funds for AI and other technology spending aren't growing fast enough. That situation has created an obstacle to digital transformation in the healthcare industry. Research firm IDC predicted worldwide healthcare spending for IT will continue growing at a compound annual growth rate of about 5% through 2021. That ...

Features in this issue

Columns in this issue

Cloud Computing
Mobile Computing