- Eric Schmidt, Google's former CEO, recently presented his vision for the future of healthcare in the Podcast "Theory and Practice", which explores the interface between biology and computing.
- Schmidt believes that accessing larger amounts of data will result in better healthcare outcomes.
- More electronic medical records and medical records are stored in the cloud, improving access to large volumes of data and supporting large volumes of data The amount of data that healthcare produces, he said.
- Schmidt said this would allow "deeper data science" to perform predictive analysis and inform physicians about patient decision-making.
- With increasing data sharing, the healthcare industry becomes less disjointed and more efficient. "The beauty of health care is that improvements in efficiency are also associated with improvements in health," said Schmidt.
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Former Google CEO Eric Schmidt has a vision for healthcare biology and computing. The podcast is produced by Google AI and the GV business group (formerly Google Ventures).
Schmidt, a billionaire who studied electrical engineering at Princeton University, was CEO of Google for ten years and later served as executive chairman. He left that position in 201
Schmidt has long held that big data and data sharing play an important role. Exchanging data in the health sector presents obstacles where the protection of personal health data is a major problem.
Schmidt believes that better data access and data sharing would improve healthcare.
it was never conceived that you and I would agree with it as reasonable. The incentives are misaligned, the databases are bad, "Schmidt said fellow combatant Anthony Philippakis, risk partner at GV, and Alex Wiltschko, senior research scientist at Google AI.
" I believe that due to advances in machine learning and Data analytics may be able to rethink some of these underlying assumptions, "he added.
Simplifying data access to improve the healthcare system
Due to the heterogeneity of the US healthcare system, all medical data should be located in one place which the doctor and patient can easily access.
"When I go to the doctor, I want to give them a login and password for me, and when they log in, they want to see all my medical information from anywhere," he said Schmidt.
As Schmidt said in the podcast episode, medical information becomes frequent not exchanged between their systems when a patient has to have multiple tests performed by different specialists. This is just one example of the interruption of communication, which according to Schmidt can be easily remedied.
Another important issue that needs to be addressed is the provision of large volumes of health data for research. Schmidt said the privacy problem can be solved by refusing data collection to patients. "Otherwise, for reasons of convenience, this data will be made available for research purposes to strengthen the system," he said.
The cloud is the limit for medical data
Schmidt said that an important step is to put all medical data in the cloud where it can be more easily retrieved and analyzed.
"Currently, the majority of respondents The inventory of medical data is not even included in the electronic health record, but in other systems that are in the hospital," said Schmidt. "But work is in progress and all EHRs will soon be cloud-based."
For Schmidt, cloud computing is beneficial in healthcare, as it is often more cost effective and can support the enormous amounts of data that the industry is constantly producing.
"With cloud computing, you know the system will not fall over," he said.
But Schmidt does not just want to store electronic health records in the cloud. He also wants to collect other clinical data from hospital systems and eventually all clinical data in the healthcare industry.
"We would have a much more complete picture of medical care processes, and that would allow us to do better data analysis, better prognosis, and better health care," said Schmidt.
Schmidt believes that health care systems can quickly move to the cloud if it proves beneficial to patients and physicians by saving people's time and lives.
Access to more data means "Deep Data Science". can begin to solve problems
With access to more patient data, Schmidt believes that computers can help the healthcare system by providing more accurate medical diagnoses for a larger group of people.
Big data can deliver 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," Here's your story; Here's what we think and give advice using Deep Data Science, Deep Predictive Analytics and AI in general to predict what the doctor should do next, Schmidt said. "I think this will lead to a healthcare revolution in terms of productivity and, above all, my health and your health and all."