Alister Martin’s Post

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CEO | A Healthier Democracy | Physician

Risk adjustment ensures providers are paid fairly in capitated payment models, allowing them to deliver appropriate care to all patients. However, if done poorly, it can worsen health inequities by misallocating resources. In my work, I've seen the importance of accurately predicting future healthcare costs to ensure providers can care for healthier and sicker patients. Risk adjustment modifies payments based on patients' characteristics and health conditions. This method uses statistical models to assign risk scores, adjusting payments accordingly to reflect the expected cost of care. One challenge we face is inconsistent data and coding practices, which can affect the accuracy of these adjustments. Traditionally, risk adjustment focuses on factors like age and chronic conditions. However, incorporating social determinants of health—such as housing stability and food security—is essential for fair compensation. These factors impact health outcomes but are often excluded due to data standardization issues. To better support providers and reduce inequities, it’s crucial to design and implement risk adjustment models carefully, incorporating comprehensive data and considering social factors. This approach ensures we can continue to deliver high-quality care to all patients, regardless of their health needs. #Healthcare #Hospitals #doctors #hospitals #CommunityHealth

Donna Kabangai, MPH

I Create Data-Driven Strategies to Transform Health Equity and Enhance Quality of Care

2w

Alister your points about the critical role of risk adjustment in capitated payment models are well taken. Accurate data collection and consistent coding are essential for fair provider compensation. In my experience with risk mitigation and compliance, I’ve seen the challenges posed by inconsistent data. Incorporating social determinants of health (SDOH), like housing stability and food security, into these models is vital to ensure equitable resource allocation and improve health outcomes. Your focus on addressing these structural barriers resonates deeply. Standardizing data practices to include SDOH can help us better support providers and reduce health inequities. Thank you for your ongoing work in this area. I look forward to continuing this important conversation.

Javeria Usmani

Pharmacist Helping Health & Wellness Brands Connect with Their Audience 🚀 | Innovative Healthcare Writing & Pharma Ghostwriting | Content & Copywriter

2w

Done right, it ensures fair compensation for providers to deliver quality care to all patients. Done poorly, it exacerbates health inequities.

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Fernanda Bigolin, Ph.D

High-Reliability Organizations (HRO) | Healthcare Interoperability | Safety Culture | Patient Safety

2w

Alister Martin To achieve good results in risk adjustment analyses, it is essential to use credible data. In my experience, many healthcare organizations collect large amounts of data that is not useful.

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