Home https://server7.kproxy.com/servlet/redirect.srv/sruj/smyrwpoii/p2/ Business https://server7.kproxy.com/servlet/redirect.srv/sruj/smyrwpoii/p2/ Former Google CEO Eric Schmidt has plans to save healthcare with data

Former Google CEO Eric Schmidt has plans to save healthcare with data

  • Eric Schmidt, the former CEO of Google, outlined his vision for the future of healthcare in the Theory and Practice podcast, which focuses on the intersection of biology and computer science.
  • Schmidt believes that access to more data will lead to better health outcomes.
  • More electronic health and medical records will be stored in the cloud, which will improve access to large amounts of data and will also be able to support the huge
  • Schmidt said this will allow more "deep data science" to perform analytical analysis to inform physicians of patient decision making.
  • With increased data sharing, the healthcare industry will be less disengaged and more efficient. "The good thing about healthcare is that performance improvements are also aligned with health improvements," Schmidt said.
  • Click here for more BI Prime stories.

Former Google CEO Eric Schmidt has a vision for healthcare.

He explained it to a recent episode of The Theory and Practice podcast that focuses on the intersection of biology and computer science. The podcast is produced by Google AI and the GV risk group, formerly known as Google Ventures.

Schmidt, a billionaire who studied electrical engineering at Princeton University, has been the CEO of Google for a decade and later served as executive chairman. He left that role at Alphabet's parent company in 201


Schmidt has long been convinced of the important role of sharing big data and data, he said. Data sharing faces obstacles in healthcare, where privacy is a major concern.

Schmidt said that he believed that better access and sharing of data would improve health.

"If you look at the medical system in America, it's never been designed in a way that you and I would agree as rational. The incentives are unequal; the databases are bad," Anthony Phillipakis, a risk partner, Schmidt said at GV, and Alex Wilchko, a senior researcher at Google AI.

"I believe that because of the gains in machine learning and data analysis, we are able to rethink some of these basic assumptions," he added.

Facilitating access to data to improve the health care system

Due to the disjointed nature of the health care system in the United States, Schmidt says that all medical data should be in one place that is easy for physician and patient access .

"When I go to the doctor, I want to give them an entry and a password for me, and when they come in, I want them to see all my medical records from everywhere," Schmidt said.

As Schmidt says in an episode of the podcast, often when a patient has to do multiple tests done by different specialists, medical information is not shared between their systems. This is just one example of intermittent communications that Schmidt says can be easily repaired.

Another important point that needs to be corrected is the provision of large quantities of health data for research purposes. Schmidt said the privacy issue could be resolved by allowing patients to opt out of data collection. "Otherwise, this data is usually provided for research purposes to strengthen the system," he said.

The cloud is the limit of medical data

Schmidt said that a key step would be to place all medical data in the cloud, where it is easier to access and analyze.

"Right now, most medical data is not even in the eHealth system, but in other systems that sit around the hospital," Schmidt said. "But work is underway and all EHRs will be cloud-based pretty soon."

For Schmidt, cloud computing is useful in healthcare because it is often less expensive and can support the huge amount of data the industry is constantly producing.

"With cloud computing, you know the system will not break down,"

But Schmidt does not want to simply store the elect He also wants to collect other clinical data from the hospital systems and ultimately all clinical data in the healthcare industry.

"We would have a much better picture of what's happening in medical care and that would be our allowed us to do better data analytics, better forecasting and better healthcare, "Schmidt said.

Schmidt says he believes healthcare systems will move quickly into the cloud if that can prove to be the case. useful for the patient and the doctor by saving the time and life of the ho rata.

Accessing more data means "deep data science" can begin to solve problems

With access to more patient data, Schmidt thinks computers can help the healthcare system by providing more accurate medical diagnoses for a larger group of people.

Big data can provide better predictive analysis, he said. He said "deep data science" can be used to help doctors make better decisions.

"I want the computer to be able to say," Here's your story; here's what we think is going on "and giving advice, using in-depth data science, doing deep predictive analytics and AI in general to predict what the doctor should do next," Schmidt said. "I think it will lead to a revolution in health in terms of productivity and, most importantly, my health and your health and that of everyone. "

Source link