Precision medicine
In order for precision medicine algorithms to deliver more precise healthcare, they have to follow a roughly 3-step process as described here.
Step 1
First, the algorithm gets patient data from a varitey of sources including EHRs, registries, data warehouses, and genomic and molecular tests. Some companies are also trying to integrate their software into molecular diagnostic labs. This allows the system to use structured data it can understand to make reliable suggestions.
Step 2
Second, the system matches patients to clinical trials. Sophisticated AI-powered software can quickly search for relevant trials. Most clinical trials have eligibility guidelines for the specific people who can be tested. The software can quickly ensure patients match these guidelines.
Step 3
Third, most systems send especially challenging cases to a review board. This panel of experts would asess patient data and relevant clinical trials found by the software.
Syapse
Many companies follow a process similar to this when developing precision medicine tools. For example, Syapse created a platform called the Syapse Precision Medicine Platform that makes intelligent suggestions to improve patient care. Syapse's healthcare system also ensures physicians are following institutional guidelines. The system also shares its data with other clinicians so its algorithm increases its accuracy as it is used more. While it may not be widely used today and isn't as "precise" as it should be, Syapse is working to eventually bring precision medicine into the mainstream healthcare system.