
Creating the Genomics AI Coalition
I propose the formation of the Genomics AI Coalition (GACT) – applying artificial intelligence and machine learning to genomics (AI/ML-Gen) in the areas of
The Genetic Testing Unit (GTU) is a five-digit alphanumeric character sequence for every uniquely marketed test, even after the test is no longer available. The industry should adopt this coding system as a standard today – so we can move forward.
As we approach the various stakeholders in this issue, what questions should we address to achieve the adoption of the GTU ID? Here is my initial list. Please provide your feedback below, and together, let’s get commitments from X12, labs, insurance companies, and healthcare systems to make this genetic test ID coding system become widely adopted.
Do you have suggestions or feedback regarding this Call to Action? What steps or solutions do you suggest to meet these goals? Have you taken action and has it resulted in a particular outcome? Provide your comments using the form below or feel free to send an email directly to moveforward@genomics.network.
I will use the feedback provided to create additional posts around this topic which you will be able to view on this page. Please note that no identifying information will be included in anything posted on this website unless such identification is consented.
I propose the formation of the Genomics AI Coalition (GACT) – applying artificial intelligence and machine learning to genomics (AI/ML-Gen) in the areas of
The integration of genomics into patient care can be complex and requires coordination between various medical practitioners. By having access to a patient’s complete genomic
The current lack of an ID for each unique genetic test raises the possibility of confusion among clinicians ordering tests and laboratories reporting them. This
The adoption of clinical genomics as standard of care has been slow. In this blog post, we will examine the major issues affecting clinical adoption
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