decisionhealth Newsletters, Part B News - 2003 Issue 8 (August)
Tips for how your specialty could boost practice-expense payments
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Article Overview
This article explains how a specialty organization approached developing supplemental survey data to support practice-expense payment calculations and why that effort mattered for reimbursement. It is aimed at specialty societies, practice administrators, and coding/reimbursement professionals who want to understand the general CMS expectations for survey-based data, the role of outside contractors and consultants, and the practical challenges of producing acceptable specialty-specific information.
Why This Topic Matters
Practice-expense payment calculations can be affected by whether specialty survey data are accepted and how complete and representative they are. Understanding the general process helps specialty groups evaluate whether a survey effort may support future reimbursement.
Article Sections
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Background and payment impact
Introduces the reimbursement issue, the specialty group example, and the general effect on practice-expense payments.
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Tips for specialty survey development
Summarizes broad strategies for adapting an existing survey, working with contractors, and coordinating with relevant organizations.
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CMS survey data criteria
Outlines the general categories CMS uses when reviewing supplemental survey information for specialty data submissions.
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Working with consultants and survey contractors
Discusses the value of collaboration with outside reviewers and the kinds of support they provide during survey development.
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Survey costs and practical limitations
Reviews the expense and effort involved in collecting and preparing survey data, along with caveats about acceptance.
What You Will Learn
- How specialty societies may approach supplemental survey development
- What general CMS criteria are used to evaluate survey data
- Why collaboration with outside consultants can matter
- What kinds of resource commitments may be involved in a survey project
- Why acceptance of survey data is not guaranteed
Who Should Read This
- Specialty society staff
- Practice administrators
- Reimbursement professionals
- Medical coders
- Healthcare consultants
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