While the use of clinical and business intelligence tools is on the rise in healthcare, the hype surrounding artificial intelligence is unlikely to lead to full-scale adoption for quite some time, according to a new study by the Healthcare Information and Management Systems Society (HIMSS).
In the HIMSS 2017 Essentials Brief: Clinical and Business Intelligence, 23.5 percent of respondents said they expect their organizations to begin using AI within two years, 24.7 percent said within the next three to five years and 8.2 percent said six to 10 years. Only 4.7 percent said their organizations were already using AI and just 10.6 percent said they expect their organizations to begin leveraging AI within the next 12 months.
The prevailing belief seems to be that the technology just isn’t ready yet. Some 37 percent of respondents said further AI development is needed, 23.5 percent said the business case for AI was still unproven and 19.8 percent cited infrastructure constraints within their organizations. When questioned about barriers in the industry overall, 50 percent of respondents said they believe the technology is still in development and current opportunities to apply it to healthcare are difficult to understand.
Here are some of the other findings:
- Clinical and Business Intelligence solution adoption rates for the U.S. healthcare market in 2017 are 48 percent and 62 percent, respectively.
- Data governance, an important pre-requisite for the success of data analytics, has shown significant improvement in the “highly optimized” and “strong” categories from study respondents who were asked to qualify their efforts in this area.
- While leveraging clinical analytics to meet Meaningful Use (MU) requirements and reporting remains the primary area of focus (nearly 70 percent of respondents), there has been an increase in the focus on population health year over year from roughly 20 percent in 2016 to 30 percent in 2017.
To learn more about the HIMSS findings, download the study here.
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