Former Google CEO Eric Schmidt has a vision for healthcare.
He explained it on a recent episode of the podcast Theory and Practice, which focuses on the intersection of biology and computer science. The podcast is produced by Google AI and the venture arm GV, which was formerly known as Google Ventures.
Schmidt, a billionaire who studied electrical engineering at Princeton University, was Googles CEO for a decade and later served as executive chairman. He left that role at Googles parent company, Alphabet, in 2018.
Schmidt has long held beliefs about the important role of big data and data sharing, he said. Data sharing has faced obstacles in healthcare, where the privacy of personal health data is a big concern.
Schmidt said he believed that better data access and sharing would improve healthcare.
If you look at the medical system in America, it was never designed in a way that you and I would sort of agree as rational. The incentives are misaligned; the databases are poor, Schmidt told the cohosts Anthony Philippakis, a venture partner at GV, and Alex Wiltschko, a senior research scientist with Google AI.
I believe that because of the gains in machine learning and data analysis, we have an opportunity to rethink some of those underlying assumptions, he added.
Because of the disjointed nature of the US healthcare system, Schmidt said that all medical data should be in one place that is easy for the doctor and patient to access.
When I go to the doctor, I want to give them a login and a password for me, and when they log in, I want them to see all of my medical data from everywhere, Schmidt said.
As Schmidt said in the podcast episode that, oftentimes, when a patient has to have multiple tests done by different specialists, the medical information is not shared between their systems. This is just one example of the disconnected communications that Schmidt says could easily be fixed.
Another important point to fix is making large amounts of health data available for research purposes. Schmidt said the privacy issue could be resolved by allowing patients to opt out of data collection. Otherwise, that data is, by custom, made available for research purposes to make the system stronger, he said.
Schmidt said that a key step would be to put all medical data on the cloud, where it can more easily be accessed and analyzed.
Right now, the majority of medical data is not even in the electronic-health-record system, its in other systems that are sitting around in the hospital, Schmidt said. But the work is underway, and all EHRs will be cloud-based quite soon.
For Schmidt, cloud computing is beneficial in healthcare because its often less expensive and can support the massive amounts of data the industry constantly produces.
With cloud computing, you know the system wont fall over, he said.
But Schmidt doesnt just want to store electronic health records on the cloud. He also wants to collect other clinical data from hospital systems and eventually all clinical data in the healthcare industry.
Wed have a much fuller picture of whats going on in a medical care setting, and that would allow us to do better data analytics, better prediction and better healthcare, Schmidt said.
Schmidt said he believed healthcare systems would be quick to move to the cloud if it could prove to be beneficial for the patient and doctor by saving time and peoples lives.
With access to more patient data, Schmidt believes computers can help the healthcare system by providing more accurate medical diagnoses for a larger group of people.
Big data can provide better predictive analytics, he said. He said deep data science could be used to help doctors make better decisions.
I want a computer to be able to say, Heres your history; heres what we think is going on, and give advice using deep data science, doing deep predictive analytics, and AI in general to predict what the doctor should do next, Schmidt said. I think this will lead to a revolution in healthcare in terms of productivity and, most important, my health and your health and everyones.
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