According to a recent KPMG survey, just 10 percent of healthcare organizations are using data to its full potential with analytics and predictive capabilities.
The survey collected responses from more than 270 healthcare professionals about their organizations' business and data analytics maturity.
What is causing the lag in data analytics adoption? Most survey respondents (37 percent) said the biggest barrier to advanced data use is that data are in silos and are not standardized. The next biggest barrier is lack of technology infrastructure (17 percent), followed by data analytics skills gap (15 percent), organizational culture (11 percent), inability to electronically capture and exchange data (5 percent) and an unclear return on investment (4 percent).
Despite the barriers, respondents do see value and potential impact in data analytics and business intelligence. Most respondents (34 percent) said they saw the most impact in using big data analytics in business intelligence operations, followed by improving clinical outcomes (27 percent), lowering costs (24 percent) and population health efforts (15 percent).
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