Identifying the business/technology issues and solutions for making clinical genomics standard of care – with a call to action
Driving clinical genomics solutions for the next decade, this blog will generate discussions on the challenges and opportunities to make clinical genomics standard of care throughout the patient’s lifetime. Here we will identify the key business, technology, and clincal issues, and offer recommendations for moving forward.
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 research, clinical care, the healthcare consumer, data, public health, national initiatives, and global implementations.
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 profile, the healthcare team will make more informed and unified decisions about their care, leading to better outcomes.
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 post explores a proposed solution and steps for implementing it.
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 and discuss what needs to happen next.
