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Improved Patient Care Through Treatment Uniformity

The challenge: Offering uniform treatment to reduce cardiovascular morbidity

Treatment uniformity is key to deliver quality care. Yet, it remains one of the biggest challenges faced by healthcare providers. Narrowing the gap between guidelines and practice is difficult. To address this challenge, a Dutch hospital wanted to discover how computerized decision support systems can help physicians assess cardiovascular disease risk and recommend treatment based on guidelines and individual patient data. Their goal was to improve the quality of care and reduce excessive cardiovascular morbidity and mortality.

How we created value: A decision support dashboard combining guidelines and patient data

We worked with the medical center to shape the project and stimulate adoption among physicians.

■ We developed a real-time clinical decision support dashboard that incorporates information about patients’ cardiovascular risk and guideline-based advice to help the physicians to decide on the treatment strategy. The dashboard combines relevant data sources, relies on trusted prediction methods and is integrated with electronic health records.
■ By involving future users in the design of the dashboard, we improved the user experience in an iterative way while driving adoption.

We divided the project in distinct steps. This allowed the medical center to enhance their Data Science capabilities and prepare for the independent execution of similar projects in the future.

Better results: Uniform care prevents excessive cardiovascular morbidity

With the help of a computerized decision support system, the medical center can offer more uniform treatments. Physicians adhere to cardiovascular risk management guidelines more closely, while giving personal and substantiated advice. This increased compliance with cardiovascular risk management guidelines enables them to prevent excessive cardiovascular morbidity and mortality.

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