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GE, Microsoft tap Houston startup's technology for virtual COVID-19 treatment initiative

Houston-based Decisio's virtual care technology has been paired with GE Healthcare and Microsoft technology in a new initiative for hospitals dealing with the COVID-19 outbreak. Photo via decisiohealth.com

Houston-based health tech startup Decisio Health Inc. has been enlisted in the war against the novel coronavirus.

Chicago-based GE Healthcare Inc. has tapped Decisio's AI-powered DECISIOInsight software, which enables health care providers to remotely monitor patients, for an initiative involving Redmond, Washington-based Microsoft Corp. that's designed to help treat COVID-19 patients.

The coronavirus-targeted Mural Virtual Care Solution, which was introduced April 15, marries Decisio's virtual monitoring software with GE Healthcare's telehealth technology and Microsoft's Azure cloud-computing platform. It's designed to offer hospitals a broad view of COVID-19 patients who are hooked up to ventilators in ICUs. This platform merges data from ventilators, patient monitoring systems, electronic health records, labs, and other sources.

This special technology package is a stripped-down version of the Mural Virtual Care Solution, which pairs Decisio's and GE Healthcare's technology to virtually track hospital patients. GE Healthcare invested in Decisio in 2019.

Until January 31, 2021, the Mural coronavirus bundle is being provided at no cost to hospitals. Among the users is Oregon Health & Science University in Portland.

"We're trying to carry as much of the cost burden to make this as sustainable as possible for our hospital partners that we know are hurting economically right now," says Bryan Haardt, CEO of Decisio.

"There has to be a moralistic compass," he adds. "You have to be driven by something more than just profit."

GE Healthcare, which contributed to Decisio's $13 million Series B round in December, was already partnering with the startup on the Mural Virtual Care Solution. Microsoft was brought into the mix to speed up delivery of the platform in response to the coronavirus pandemic.

"This relationship did not exist prior to this initiative," Haardt says. "We all came together and said, 'Guys, we've got to do our part. It is absolutely a moral imperative that we get together.' And we said, 'OK, well, what are the parts?'"

Haardt says this project equips hospitals to adhere to the best standards of care when it comes to treating COVID-19 patients who are relying on ventilators. In a COVID-19 treatment setting, one of the key benefits of the Mural Virtual Care Solution is that a health care clinician can monitor a patient's vital signs and other data without physical contact, he says.

Founded in 2013, Decisio built its virtual health platform using technology licensed from and developed at the University of Texas Health Science Center in Houston. Coupling real-time clinical surveillance with data visualization, the DECISIOInsight software can pinpoint risks and guide clinicians toward better decisions about patient care.

Haardt says Decisio's software aims to reduce the rate of hospital deaths, length of hospital stays, and burden on hospital resources by helping health care providers decrease the severity of hospital-acquired infections, pneumonia, the flu, and other conditions. Baylor St. Luke's Medical Center in Houston is among the customers for Decisio and GE Healthcare's broad-based Mural Virtual Care Solution, which was rolled out last year.

Also, Decisio has teamed up with professional services firm Deloitte to deliver virtual patient monitoring at U.S. Department of Defense hospitals. This technology is being piloted at Brooke Army Medical Center in San Antonio and Naval Medical Center San Diego.

"We look at doctors and nurses as heroes, because they're really good at getting people out of trouble," Haardt says. "And we like to think of our solution as keeping people out of trouble, because if you can keep them out of the trouble, then these heroic, herculean efforts [by doctors and nurses] are not required as much … ."

Haardt explains that Decisio's technology can monitor patient activity and detect patient trends in not just one area of a hospital (such as an ICU) or throughout an entire hospital but across a commonly managed group of hospitals. Those insights help hospitals ensure all of their health care professionals are following the same treatment protocols.

The No. 1 economic detriment to hospitals "is doing things different at all their different facilities," Haardt says. "If you can reduce the variability of care, we know the cost to provide goods and services goes down, and we know the outcomes improve."

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Houston-based Adapt2 Solutions has created AI-backed technology to help energy companies make strategic predictions in these unprecedented times. Getty Images

Among the many complications presented by the coronavirus pandemic is coping with power needs. Movie theaters, malls, schools, and stadiums are among the places where energy use has been uneven at best. And the unevenness promises to continue as a lot of locations turn the lights back on but their operating hours remain in flux.

Houston-based Adapt2 Solutions Inc. believes its software can help energy companies power their way through the pandemic-driven haziness of power demand from commercial and residential customers.

"Today's energy companies need the speed and flexibility that cloud-native technology provides to fully leverage the massive amounts of data available to them," Jason Kram, executive vice president of Adapt2 Solutions, said in a December 2019 release.

Kram says that by capitalizing on artificial intelligence, machine learning, and cloud computing, his company's predictive analytics models forecast unexpected fluctuations in power capacity. Amid the pandemic, this technology enables energy companies to map out demand at a time when they're balancing strained revenue and squeezed spending is paramount, according to Kram.

Armed with this forecast data, Adapt2 Solutions' customers — including utility companies, energy traders, and power generators — can more easily plot power production, sales, and purchases, Kram tells InnovationMap. This data can be applied to conventional power, renewable energy, and battery-stored power.

"In times of disruption, big data can inform decision-making for energy companies to optimize energy-market operations with timely and reliable data," Kram says.

Adapt2 Solutions' load forecasting feature generates the predictive analytics models. This feature is embedded within the company's Adapt2 Bid-to-Bill flagship product, which helps energy companies manage front-office and back-office operations. Its other products are Adapt2 Green, designed for the renewable energy market, and Adapt2 Trade-to-Tag, aimed at improving management of energy trades.

"With Adapt2's AI-enabled solutions, we strive to help more customers focus on their core operations and bring business units together on a single platform to create an integrated approach," Kram says.

The company's customers include Consolidated Edison Inc. (ConEd), Duke Energy Corp., the East Kentucky Electric Cooperative, Exelon Corp., Invenergy LLC, Sempra Energy, the Tri-State Generation and Transmission Association, Tyr Energy LLC, and Vistra Energy Corp.

Adapt2 Solutions employs about 40 people, Kram says, and plans to grow its revenue and headcount by 25 percent to 40 percent this year. He says Adapt2 Solutions has managed to turn a profit even though it hasn't taken any outside funding since Francisco Diaz founded the company in 2008.

In March, Inc. magazine placed Adapt2 Solutions at No. 222 on its inaugural list of the fastest-growing private companies in Texas. The company's revenue shot up 72 percent from 2016 to 2018.

"The growth in our business reflects a growth in our customers' business, further validating that we have taken the right steps to help energy enterprises better respond to market and technology changes," Diaz said in a March release.


Jason Kram is the executive vice president of Adapt2 Solutions. Photo courtesy of Adapt2 Solutions

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