Silicon Valley Gene: Clover Health Big Data Reform Medical Model
A caregiver named McPherson went to an 80-year-old couple's home for an annual visit, carefully recording the couple's diet, medication and exercise habits with the iPad and telling them that eating brown rice can prevent diabetes. This is a typical work scenario for Clover Health Insurance. As long as the old couple are still alive, McPherson's job is to continue to visit them year after year to ensure that they maintain good health. Clover Health is a company that wants to identify potential health problems before they reach the point where they need to see a doctor and advise users on the healthy lifestyle that suits them best. And all of this is derived from personal health insurance data, subverting the traditional medical insurance model. Dynamic observation, medical insurance information perspective risk For example, this year Clover's system is following up with a user in his 80s, who entered the hospital after a fall. Frail, lower extremity ulcers, and type 2 diabetes, the old man is now wheelchair-bound, and according to Clover's assessment of his health risk, he is again likely to fall. When the old man was discharged from the hospital, Clover prompted a nursing team in New Jersey to send a caregiver to his home. The nurse found a problem: This user used a plastic step ladder for toddlers to sleep on the bed at night, but it was obviously not very useful. On the same day, the nurse sent someone to put a handrail on his bed. As a medical underwriting company, Clover pays bills for all insured users. In this way, the company can capture the evolving health of each customer. Because of the high frequency of medical care for federal health insurance users, the largest proportion of medical expenses in the country, Clover can accumulate a large amount of data. The system can also automatically find abnormal conditions from the data, such as missing a doctor appointment, misusing a prescription or entering an emergency. Clover Health's nurses make annual visits to users In the case of repeated admissions, the average cost per patient is $10,000, which adds up to a huge national expense. Vivek Garipalli, a former CEO working in the financial industry, chose to start a business in the medical industry , and he continued to start a business because he wanted to use data technology to predict risk and eliminate unnecessary return. Clover uses Silicon Valley technology to achieve medical “treatmentâ€, thanks in large part to its team's Silicon Valley genes. Its data science, design, engineering, and product teams are led by elites from several Silicon Valley giants such as Facebook, Google, and Microsoft. From left to right: CEO Vivek Garipalli, technical leader Kris Gale, data scientist Sandy Ryza The company's technical team was led by Kris Gale, who started the company with Garipalli after he left the company, Yammer. They are gradually perfecting such software to integrate the vast amount of health care information collected from New Jersey staff to tap into potential health problems. An important member of the recent team was Sandy Ryza, a senior data scientist who previously handled data in the banking and telecommunications industries at data management software company Cloudera. Ryza said it's a very exciting challenge to find patterns from unrelated health data, and he agrees with Clover's mission to improve the national health system. "This sentence may sound cheesy, but I really want to create something different."
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