Color Copilot

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Introduce：

Color Copilot, a product developed by Color Health in partnership with OpenAI, uses GPT-4o technology to bring the expertise of highly trained oncologists to doctors, nurses and primary care physicians to support them in making evidence-based cancer screening and treatment decisions for their patients. The product focuses on early cancer detection and effective management of patients entering the treatment flow by automating the analysis of individual background risk factors and applying personalized screening plans, as well as providing physicians with the necessary testing decision support to speed up the treatment process and save valuable time.

Stakeholders:
Color Copilot is intended for physicians, nurses, and primary care physicians, especially medical professionals who need additional expertise to support cancer screening and treatment. It improves treatment outcomes and survival rates for cancer patients by providing AI-based analysis and recommendations to help healthcare workers more accurately assess patient risk and develop personalized screening and treatment plans.
Usage Scenario Examples:

• A woman with a BRCA1 mutation significantly reduced her likelihood of dying from cancer by using Color Coliilot to be screened for her adjusted risk level.
• Primary care physicians use Color Coliilot to quickly identify necessary pre-treatment tests after a patient is diagnosed with cancer, reducing the time patients have to wait for treatment.
• Nurse oncologists, with the help of Color Coliilot, are able to act quickly to prepare patients for treatment, improving the timeliness and effectiveness of treatment.

The features of the tool:

• Automate the understanding and analysis of individual background risk factors
• Apply personalized cancer screening guidelines
• Support doctors to quickly make the necessary testing decisions before treatment
• Reduce patient waiting time and improve treatment efficiency
• Seamless integration with the doctor’s workflow without changing existing working patterns
• Ai-based continuous learning and efficiency improvement

Steps for Use:

• Sign up and log into the Color Health platform
• Enter the patient’s basic information and medical history
• Use Color Coliilot to analyze patients’ cancer risk
• Based on the results of the analysis, a personalized cancer screening plan is developed
• After a patient is diagnosed with cancer, use Color Coliilot to determine preconditioning tests
• Work with an oncologist to develop a treatment plan based on test results and Coliilot’s recommendations
• Use Color Coliilot continuously to monitor and adjust treatment strategies during treatment

Tool’s Tabs: AI, cancer care