Pay for Performance
Associate traditional performance with an
additional performance or Value
Performance Payment is the easiest and simplest model to be implemented, as it does not change the current contract with the providers. It is only associated with traditional simple remuneration, whether fee-for-service or salary, an additional performance or Value using the HVS – Health Value Score – methodology for this measure.
The 2iM.Analytics platform was modulated for this type of evaluation, including making it possible to define the logic of additional remuneration, such as: a budget to be distributed based on performance and production, or an additional percentage of the amount received by the provider after an evaluation cycle (we recommend a minimum of 3 months).
Application Profiles
Network
Doctors from an accredited network.
Cooperative
Cooperative doctors.
Salary
Doctors or health teams hired to assist in hospitals, clinics or health units that receive by production or salary.
Via Hospital
Payment of “packages” to hospitals (this model is not payment by bundle).
Via DRG
Payment to hospitals based on DRG.
What are the good points?
- Speed of implementation.
- Possibility of revising assistance guides and continuing education.
- There is no risk or punishment for the provider, as payment is always in addition to what he normally receives.
- It can generate greater professional loyalty.
What are the points of attention?
- Although the 2iM.Analytics platform already presents a methodology and suggestions for indicators to define performance or Value, it is very important that these indicators are validated, parameters or benchmarks are defined to evaluate the indicator and the interoperability process in capturing data from existing systems and spreadsheets is guaranteed.
- The lack of existing clinical data in some paying sources obviously limits the possibility of choosing performance indicators, especially those that measure outcomes. Thus, the projects should foresee an evolution of the model initially applied, with the inclusion of more robust indicators as the access to data improves.