The pathway to success with big data analytics in healthcare can be broken down into seven components of planning, reporting, and execution.
The healthcare industry may be going through a seemingly endless period of flux, but there are a few unchanging truths about big data analytics that can help guide executive leaders through troubled times.
Planning, preparation, and a firm grasp on how to communicate measurable value are critical components of any successful big data analytics program, says Soyal Momin, Vice President of Data and Analytics at Presbyterian Healthcare Services (PHS).
The integrated delivery system, which includes eight hospitals in New Mexico, also serves about half a million Medicaid, commercial, and Medicare Advantage beneficiaries through its health plans.
Integrating delivery and reimbursement at such a scale while keeping costs under control requires PHS to take a cohesive, carefully developed approach to big data that starts with a solid foundation and a clear direction, Momin told HealthITAnalytics.com at HIMSS18 in Las Vegas.
“You need to build a great foundation so that your analytics programs are scalable and sustainable,” he said.
“Oftentimes, organizations just do enough to get some analytics up and running, and then they hope and pray that it’s going to serve their needs for a while. But when you treat analytics as a short term fix, it very often fades away.”
Momin has developed what he calls the “seven-fold path” for ensuring that the health system’s data assets are being used to their greatest advantage without data siloes or organizational conflicts.
“Everything starts with sponsorship at the top,” he said. “We have major support from the CEO and his executive leadership team. They drive a data-rich culture throughout the entire organization, which is essential for seeing any type of success.”
“The data analytics group is the only initiative in the enterprise that has its own advisory board – that’s how seriously we are taking it.”
Momin and his executive leadership team meet once a month for at least an hour and a half.
“If you think about the cost per hour, it’s worth an investment of around $20,000 every month just by taking up these people’s time,” he said. “That shows serious commitment to what we’re doing.”
Article Credit: Health IT Analytics
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