附近上门

Even before a patient walks into the doctor鈥檚 office, aims to predict whether that patient may be admitted to the hospital soon or is likely to cancel an appointment.

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The Austin-based company is using a new $11 million Series A cash infusion to continue developing its health care data science platform that uses artificial intelligence, machine learning and automation to enable data scientists to build and deploy predictive models.

鈥淲e consider 鈥榳ho is most likely to X,鈥� for example, admitted to the hospital, develop a chronic disease or be a no-show for an appointment,鈥� ClosedLoop co-founder and CEO told 附近上门 News. Eye and founded the company in 2017.

The Series A was co-led by and with participation from and . Including the new round, ClosedLoop has raised a total of $15 million, which includes a $3 million seed round in 2018, according to 附近上门 data.

The company intends to invest the funds in product and engineering, as well as sales and marketing. Eye said the company has attracted recent attention after being rated a 鈥渢op performer in health care-focused AI鈥� on the , as well as being named one of seven finalists in the 鈥� .

鈥淲ith all of this recognition, the timing for the new investment is good,鈥� Eye added.

Predicting behavior

It鈥檚 well known that . If doctors are able to identify the 5 percent of at-risk patients within their practices, they can intervene with them directly, Eye said.

鈥淚f you can find those people, and do something like a home visit, you have a bigger opportunity to impact negative health outcomes and cost impact,鈥� he added.

ClosedLoop鈥檚 content library provides more than 2,000 health care features, including medication adherence, frailty and co-morbidities so that predictive and prescriptive models for common health care use cases can be built.

The company is disrupting the traditional model of health care, which involves fee-based care. Instead, value-based care is becoming the new way, and providers have a financial incentive to take care of a patient prior to them coming in, Eye said.

Using insurance claims, doctors can see health history to spot potential chronic diseases and other challenges, but social determinant information helps doctors see if someone has access to fresh food, live in a walkable area or may need transportation or referrals.

鈥淵ou could identify people overutilizing the emergency department and give them a free Uber ride to follow-up visits,鈥� Eye said. 鈥淚t鈥檚 unlikely you can do that for everyone, but you could do it for people most likely to have these problems. You could also predict things like falls, and help the patient put a step stool next to the bed. It鈥檚 a $50 action versus repairing a broken hip.鈥�

What鈥檚 next

Although Eye would not disclose revenue figures, he said ClosedLoop鈥檚 growth is a result of working within four market buckets: providers, payers, pharma and health IT. was 17.7 percent of the nation’s Gross Domestic Product in 2018, according to the CMS.

Eye said that is more like 25 percent today, with $1 out of every $4 spent on health care.

鈥淭he industry is behind in using artificial intelligence to look at electronic health records and claims to see what is wrong with you and predict future health events,鈥� he added. 鈥淏y providing an end-to-end platform purpose-built for health care and the industry’s largest catalog of prebuilt models and features, we allow customers to go from raw, messy health care data to production-ready predictive models in as little as 24 hours.鈥�

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