Data Science at Alley: Building Neiman’s ICE-T radiology visualization tool

Understanding healthcare services and costs is often a jumbled and confusing endeavor. Alley Interactive’s Data Science team worked with the Harvey L. Neiman Health Policy Institute to develop ICE-T (Inpatient Cost Evaluation Tool) to help simplify the process. The new operational tool enables radiology practices and hospitals to compare internal costs to national benchmark price points to determine if a “bundled payment” — defining costs as “two or more health providers during a single episode of care over a specified time” — would be a more cost-effective route for the patient. ICE-T helps radiologists use risk and costs to determine if bundled payment is the best choice. ICE-T aggregates a multitude of data, such as years of national inpatient Medicare data, total hospital reimbursement, and imaging reimbursements by radiology groups,…


Link to Full Article: Data Science at Alley: Building Neiman’s ICE-T radiology visualization tool