A survey of more than 300 healthcare and health information technology professionals finds that two-thirds of respondents are not prepared for the MACRA program to improve the quality of care while at the same time cutting costs through value-based reimbursement.

Stoltenberg Consulting conducted the survey during the HIMSS Conference in February. Respondents included practice management and project managers, information technology professionals, directors and C-level management.

Many respondents believed MACRA would be delayed because of its complexity and financial impact as the industry shifts to new reimbursement procedures, but now providers are reaching the end of the first quarter of the first MACRA reporting year, says Jonce Smith, vice president of revenue cycle management at the consultancy.

Success in MACRA, she warns, “Will take far more than just passive submission of claim data.”

Also See: MACRA quality payment program’s first performance period gets underway

Revising data management and reporting processes to meet MACRA requirements is the top quality challenge for 31 percent of respondents, and motivating all in an organization to collectively work together to comply is another core challenge, according to survey results.

Nearly 70 percent of respondents say they believe that preparing for and executing MACRA needs to be done across multiple departments, such as clinical, financial, information technology and other organizational departments. The consultancy supports that view—it suggests that success requires a focused team, with representatives from all departments led by a high-level executive.

A multidisciplinary team needs to assess reporting gaps and how to mitigate them, and create a multi-year quality payment program roadmap to adapt MACRA from year to year, as reporting requirements get tougher or an organization moves from one reporting process to another, according to Stoltenberg consultants.

“This effort commands not only a deep technical knowledge of how and where to extract and transform the right data, but also a solid understanding of how to integrate it in such a way that the resulting data demonstrates that an organization meets objective criteria for its chosen reporting path,” Smith says.

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