Kazakhstan’s Ministry of Health Introduces 100-Point Evaluation System for Polyclinics Under OSMS

Automation and New Incentives in the CSHI System

The Ministry of Healthcare of the Republic of Kazakhstan is introducing a fundamentally new mechanism for quality control in primary healthcare. The performance of domestic polyclinics will now be evaluated using a unified 100-point system. The key feature of this reform is that the rating calculation will be fully automated, completely eliminating the human factor and its associated corruptive or subjective risks.

The provided analysis is for informational purposes only. We examine this initiative strictly through the prism of actuarial mathematics, insurance theory, risk assessment methodology, and the financial sustainability of the Compulsory Social Health Insurance (CSHI) system.

Evaluation Criteria and Operational Risk Mitigation

The new scoring system is based on five key performance indicator groups:

1. Waiting time for an appointment with a specialist.
2. Timeliness and accuracy of diagnosis.
3. Quality of post-discharge patient monitoring.
4. Screening program coverage of the registered population.
5. Vaccination rates.

From a risk management perspective, automating data collection from information systems mitigates operational risks associated with reporting manipulation by medical organizations. Eliminating manual entry and subjective assessments by auditing bodies enhances data integrity, which is critical for actuarial calculations and long-term fund expenditure planning.

Actuarial Aspects of the Pay-for-Performance (P4P) Model

The newly introduced mechanism provides direct financial motivation: medical organizations scoring above 50 points and meeting at least 70% of the baseline indicators will be eligible for additional payments. These funds will be allocated on top of the basic tariff under contracts with the Social Health Insurance Fund (FSMS). Polyclinics will be able to use these funds for medical staff bonuses and equipment modernization.

For healthcare actuaries, this scheme represents a classic Pay-for-Performance (P4P) model. The introduction of differentiated bonuses significantly alters the distribution structure of insurance reserves:

• Reduction of Long-Term Loss Ratio: Incentivizing early diagnosis (through screenings and timely vaccination) helps lower the frequency of severe and advanced insurance claims that require expensive hospitalization. This directly reduces the average severity of loss in the long run.
• Managing Healthcare Inflation: Effective post-discharge monitoring reduces the risk of readmissions, thereby curbing the growth rate of fund expenditures.
• Tariff Regulation: Accumulated statistics on the 100-point scale will enable FSMS actuaries to more accurately differentiate baseline capitation funding tariffs based on regional risk profiles.

Feedback as a Data Validation Tool

The second phase of the reform will integrate patient feedback. Fourteen days after each doctor's visit, insured individuals will receive an interactive survey via the eGov portal or specialized medical applications. Patients will evaluate the clarity of the treatment plan, their awareness of the diagnosis, and actual health improvements.

Incorporating subjective assessments (Patient-Reported Outcome Measures, PROMs) into the overall scoring model requires the development of complex mathematical weights. Actuaries will need to balance objective clinical data (system logs) with the subjective perception of the insured to prevent rating volatility caused by non-representative response samples.

Actuarial Conclusion: The introduction of automated 100-point scoring for polyclinics in Kazakhstan is a major step toward risk-oriented healthcare financing. From an actuarial perspective, transitioning from fee-for-service to value-based healthcare optimizes the CSHI budget, increases the forecasting accuracy of fund liabilities, and reduces systemic risks through preventive medicine.

Source: Sputnik Kazakhstan, October 8, 2026.