Othman Laraki, co-founder and CEO of Color Health, said copilot is designed to assist doctors, not replace them. He said: “We call it copilot because it is very similar to the thinking and patterns of engineering assistants. This is not to say that copilot replaced (software) engineers.”
OpenAI and Color Health began developing the copilot, which was released on Monday last year.
This is OpenAI’s latest attempt to enter the medical and health field. In April, the San Francisco-based AI laboratory announced an agreement with biotechnology company Moderna that will use AI to speed up business processes and tasks, such as selecting the best dose for clinical trials. News Corp, parent company of The Wall Street Journal, has established a content licensing partnership with OpenAI.
“We see the perfect fit between AI technology and language models because they can really help in all of these areas,” said Brad Lightcap, chief operating officer of OpenAI. “They can bring relevant information to people faster and provide clinicians with more tools to help them understand medical records, understand data, understand laboratories and diagnoses.”
Color’s copilot uses the OpenAI API, the application programming interface, through which developers can access the OpenAI model and use OpenAI in their applications. Laraki said that like most developers, Color Health pays OpenAI based on the usage of tags (i.e. segments) sent and returned to the OpenAI model.
By taking patient data such as personal risk factors and family medical history and using it in conjunction with clinical guidelines, copilot can create a virtual personalized cancer screening program that tells doctors what diagnostic tests the patient is missing.
“Primary-care doctors often don’t have the time, and sometimes the expertise, to risk-adjust people’s screening guidelines,” Laraki said.
After the doctor makes a diagnosis, copilot will also assist in “diagnostic inspection work” for cancer pretreatment. These tasks may include specialized imaging and laboratory tests, as well as medical insurance’s prior authorization for those tests, all of which may take weeks or even months before patients can see an oncologist. Laraki said studies have shown that a one-month delay can increase mortality among cancer patients by 6 percent to 13 percent.
Karen Knudsen, CEO of the American Cancer Society, said the idea of applying AI at this stage of cancer treatment is to help oncologists work “at their highest practice level” by eliminating some administrative work that can lead to burnout. The nonprofit organization partnered with Color to develop a separate cancer care plan for employers and unions, and Laraki was a former member of the American Cancer Society’s board of directors.
“If this will help solve the problem of collecting all the information needed for pre-diagnosis, that would be a good thing for everyone, not only for patients, but also for the clinical team,” Knudsen said.
However, the preprocessing diagnostic inspection workflow is very complex, so AI cannot be completely taken over. Laraki said there are countless decision-making factors for various types of cancer, which is why doctors still have complete control over the final outcome and decision-making.
Color said that in copilot’s trial, clinicians could analyze patient records in an average of five minutes.
OpenAI has also recently struck other deals aimed at expanding its influence in a variety of businesses, far beyond its partnership with Microsoft. The deals include an agreement with Apple to support some of Apple’s new AI features; a partnership with PricewaterhouseCoopers to broker the resale of enterprise-grade ChatGPT products; and licensing agreements with Reddit and Axel Springer. Lightcap said OpenAI is not interested in just one market. “This is a technology that will be ubiquitous. This can be said to be a sign of our success,”he said.
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Original text:https://www.color.com/blog/colors-copilot-and-partnership-with-openai
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