It is commonplace to visit a doctor's office or hospital and to be handed a paper form that asks the patient about their symptoms and family history. In fact, only once in my lifetime has a physician ever handed me a tablet for this purpose and that was a doctor's office in Irvine, CA in 2015. The problem with the paper approach is that the completed form rarely ever gets scanned and transformed into true digital data within the clinical system. Rather, the majority of data in a clinical system contains "interpretations" of a patient's conditions rather than the direct testimony from the patient themselves. Interpreted data leads to distorted communication aka the "telephone game".
By capturing the testimony directly from the patients using voice technology, we can transform that data into structured content which can be subjected to machine learning algorithms. We need machine learning algorithms to be able to reach the optimal goal of precision medicine. We believe that voice technologies can help us with treating ordinary, rare, and mental disease. Without this direct testimony, machine learning algorithms are subject to serious flaws if they rely on clinical data and interpreted patient testimony.
Jenna Bourgeois has over 25 years of writing software for the largest companies in the world and is the CEO of Dynamics Intelligence Inc, a global startup focused on building the world's first Global Electronic Health Repository, the HEALTHieR Cloud.