Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Zakia Bouachraoui

Related Topics: @CloudExpo, Agile Computing, @DXWorldExpo

@CloudExpo: Blog Post

Hang on Healthcare; 2017 Promises to Be Another Thrill Ride of a Year | @CloudExpo #Cloud #BigData #Analytics

2017 suggests continued upheaval in healthcare

Hang on Healthcare; 2017 Promises to Be Another Thrill Ride of a Year
By Sanjeev Agrawal, President and Chief Marketing Officer, LeanTaaS iQueue

2016 was a year of dips and dives, twists and turns. Judging by the first couple of weeks of the new year, it's reasonable to expect 2017 will be another roller coaster year for providers, patients, suppliers and payers. As president and CMO of LeanTaaS, a growth-stage innovator of cloud-based solutions for healthcare, I have a front-car seat in partnership with the 30+ leading health systems with which we work all over the country. So here's my take:

1. Investment in healthcare startups by providers will accelerate. Large healthcare providers are beginning to understand that with all their brilliant physicians, dedicated support staff, and excellent clinical and administrative leaders, the technological innovation needed to solve the complex issues in healthcare resides outside their organizations and core competencies. By investing in early- and mid-stage technology companies, forward-thinking providers gain not only a potential financial windfall but also an early market advantage when deploying innovative solutions, especially those that leverage machine learning, predictive analytics, and data science.

2. Technology - not policy - will continue to drive advances in healthcare. Providers have made significant investments in EHR, business intelligence solutions, and Lean/Six Sigma initiatives and will be looking for ways to amplify the impact of those investments on their business. It seems clear that technology outside the margins of an EHR will be needed. These EHR systems - some as much as 30 years old - were simply not designed to include predictive analytics, have no machine learning ability, and lack any data science underpinnings whatsoever.

3. Healthcare provider consolidation will continue. Mega-mergers, like those of Anthem with Cigna and Aetna with Humana, may just be the beginning. In the environment of the new presidency, regulation in the form of antitrust enforcement is likely to be more relaxed. Smaller and mid-market providers may feel forced to explore mergers of their own to retain competitiveness with these already market-leading providers.

4. Regardless of the ultimate fate of the ACA, the demand for healthcare services will continue its rapid climb. With an aging population and a higher incidence of chronic disease, combined with pressure from payers to eliminate waste, healthcare providers will look for solutions that help them meet more of the demand with the resources in which they have already invested. 2017 may prove to be the year that healthcare providers must do more - a lot more - with less.

5. Safeguarding patient information security and privacy will continue to be an industry hot button, with good reason. According to the HIPAA Journal, more than 113 million healthcare records were exposed or stolen as a result of healthcare data breaches in 2015. Even more troubling, consumer protections, like the Fair Credit Billing Act which limits a consumer's stolen credit card liability to $50, do not exist for victims of healthcare identity theft. Hopefully, it won't take another massive data breach in 2017 to call state and federal legislators' attention to the need to address this issue.

Even if none of the prognostications come to pass exactly as I've laid out, it seems certain that healthcare providers need to fasten their seatbelts for another year of whirlwind change. I believe those who identify and embrace early opportunities to innovate by partnering with early- and mid-stage technology companies will be in a better position to compete, drive advances, meet the rising demand for healthcare, and safeguard patient security and privacy. Tickets please!

###

Sanjeev Agrawal is president and chief marketing officer of LeanTaaS iQueue. Sanjeev was Google's first head of product marketing. Since then, he has had leadership roles at three successful startups: CEO of Aloqa, a mobile push platform (acquired by Motorola); VP Product and Marketing at Tellme Networks (acquired by Microsoft); and as the founding CEO of Collegefeed (acquired by AfterCollege). Sanjeev graduated Phi Beta Kappa with an EECS degree from MIT and along the way spent time at McKinsey & Co. and Cisco Systems. He is an avid squash player and has been named by Beckers Hospital Review as one of the top entrepreneurs innovating in healthcare.

More Stories By LeanTaaS Blog

LeanTaaS is a Silicon Valley software company whose offerings rely on advanced data science to significantly improve the operational performance of hospitals and clinics. Using LeanTaaS iQueue in conjunction with their existing EHR's, healthcare institutions are developing optimized schedules that are tailored to each site and can rapidly reduce patient wait times and operating costs while increasing patient access and satisfaction, care provider satisfaction, and asset utilization.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.