Perception Health CARE vs. Amitech Healthcare Data Analytics

Elevate your risk management capabilities and enhance the quality of care for your community by utilizing the disease prediction models available in CARE™. Our platform offers an extensive overview of medical claims data on a national level, which can be customized to address the precise requirements of our clients in detail. By analyzing billions of medical claims, our advanced models identify critical risk factors associated with early disease onset or the need for surgical procedures. With access to this essential information, healthcare professionals can begin diagnoses and treatments sooner, potentially saving lives in the process. Although our prediction models are developed using a vast array of national data, they are equally adaptable to your own electronic health records, population health systems, or member claims databases, allowing for a more tailored approach. Moreover, our physician matching functionality connects patients with the most appropriate healthcare providers, improving their treatment journey toward the best possible outcomes. Utilizing clinically relevant data, our state-of-the-art disease prediction models can detect individuals at risk of developing various conditions, empowering you to reach out and start treatment before issues worsen. This proactive approach not only leads to better patient outcomes but also streamlines the overall healthcare delivery process, ultimately benefiting the entire community. By embracing these tools, healthcare organizations can transform their approach to patient care and risk management.

Patients may seem similar whether viewed through their physical presence, electronic health records, or claims data, but substantial differences often lie beneath the surface. Identifying these variations early, especially for those labeled as high-risk, can significantly alter the course and intensity of their medical treatment. In today's clinical environments, a groundbreaking tool has emerged: real-time advanced analytics. For example, diabetic patients visiting a specific emergency room were evaluated using an innovative analytics platform created by Amitech, enabling healthcare providers to promptly pinpoint at-risk individuals, resulting in marked improvements in clinical outcomes. This scenario exemplifies how blending new data sources with cutting-edge analytics equips insurers and healthcare practitioners to make informed decisions during critical situations. The promise of advanced analytics in the healthcare sector is vast, allowing for the discovery of inefficiencies and concealed opportunities. To fully leverage the power of data, organizations should adopt a focused strategy that begins with a thorough assessment to identify valuable opportunities customized to their unique needs. By doing this, they can ensure effective use of technology while also significantly enhancing the quality of patient care. Ultimately, such advancements not only optimize healthcare processes but also pave the way for better health outcomes for patients.