Munjal Shah founded Hippocratic AI to alleviate the growing burden faced by healthcare workers on a global level. Referring to a report by the World Health Organization, Shah seeks to utilize artificial intelligence to give healthcare workers the support they need in a ‘Super Staffing ‘-like setting.
As the founder of Hippocratic AI, Shah has gotten the word out regarding its many potential impacts on the industry, patients, and the healthcare workers they rely on.
Let’s learn about Munjal Shah and his work with Hippocratic AI.
Meet Munjal Shah.
Munjal Shah has worked as a serial entrepreneur in various industries. Having founded four companies since entering the field in 1999, Shah saw his work take off when he founded a machine learning computer vision company, gaining popularity before its acquisition by Google in 2010.
Following his sale to Google, Shah would undergo a health scare that would leave him focusing on the future of healthcare. Shah said, “I spent the entire day in the ER, knowing that my dad had experienced something similar to his first heart attack in his 40s. I was 37.”
Shah said, “I changed my entire worldview when it came to my health and the broader health system.”
In education, Shah attended and graduated from the University of San Diego with a Bachelor’s in Computer Science. Shah would then earn his Master’s in Computer Science with a specialization in AI from Stanford University.
What Hippocratic AI Hopes to Accomplish
Hippocratic AI is the fourth company founded by Munjal Shah. Still, the first to seek to revolutionize the system truly hates, “Hippocratic AI will be used for non-diagnostic patient-facing applications. Luckily, there are thousands of healthcare LLM use cases beyond just diagnoses that our model can support.”
Examples of use cases the model will support include benefits, billing, genetic counselors, pre-op concerns, test results, appointment reminders, and even care instructions.
Shah and his team have worked with extensive training and will continue to train Hippocratic AI’s LLM to revolutionize patient interactions extensively. One of the features that Hippocratic AI touts is voice and tone detection to understand patients better and provide them with a more complete quality of care.
According to studies, the average doctor interrupts a patient within 11 seconds of interaction. Hippocratic AI has all the time to listen and comprehend a patient’s need to tailor services to the patient better.
Shah stated, “Our goal is to work with healthcare practitioners of all kinds to help alleviate pressure on health staffing teams, decrease patient wait times, and enable staff to devote more attention to each patient they see.”