SeeChange Health

Daily

Survey: Most wellness plans not managing costs for consumers

Wellness is all the rage these days, particularly from the investment and payer perspectives, but exactly how well received the catch-all concept is with consumers remains somewhat murky. HealthMine, formerly SeeChange Health, as such recently sought to quantify consumer attitudes on wellness plans. The San Francisco-based health IT company found that while such plans can […]

Daily

SeeChange changes CEOs as it shifts to health data and anaytics

San Francisco-based SeeChange Health named Bryce Williams as its new president and CEO, a move that reflects the company’s shift from a former insurer turned healthcare analytics and wellness company. Williams takes the helm at SeeChange from Martin Watson, who founded the company in 2008. One of SeeChange’s major investors, New York-based Psilos Group, was […]

Daily

JFK Health saves $5M in health spending with SeeChange analytics

Using SeeChange Health‘s wellness anaylitics platform over the past five years, JFK Health said it has saved $5 million while cutting both hospital admission and readmission rates significantly among its roughly 8,000 employees. JFK Health, based in central New Jersey, has been partnering with San Francisco’s SeeChange on employee wellness as part of its overall […]

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California payer one of 9 healthcare companies on RedHerring Top 100 list

SeeChange Health has won a Red Herring Top 100 North America Award. The award recognizes private companies from North America for innovation and new technology in their respective industries. SeeChange Health offers Health Insurance and Health Solutions while encouraging people to keep an active role in managing their health. In addition to paying customers’ medical bills, […]

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5 companies using big data to solve healthcare problems

“Big data” won’t do much to improve healthcare without big analytics. Thanks in part to billions in federal subsidies for electronic medical records (EMRs), it won’t be long before the U.S. is awash in vast, almost incomprehensible amounts of health data. It follows that developing the analytics to draw meaningful conclusions out of those mountains […]

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