Posts From May, 2016

See you at ASE! 

Tell us what you're most looking forward to at this event

The 27th Annual Scientific Sessions of the American Society of Echocardiography (ASE), coming up June 10-14 in Seattle, will bring together practitioners and top luminaries from across the country. The event will include the Inaugural Echovation Challenge competition, designed to foster and showcase novel approaches, technologies, and processes in echocardiography—and featuring a cash prize. 

Other offerings at the event include:

Chalk Talks, an opportunity to get answers from experts in the field of echo in an intimate setting. 

I  Echo, a unique session allowing participants to practice all aspects of a focused cardiac ultrasound exam during the hands-on portion.

Science and Technology Theater’s industry-supported symposia sessions during all four lunch breaks

Posters featuring cutting-edge research on the latest advances in cardiovascular ultrasound or clinical cases illustrating evolutions in patient care

Are you going to ASE? Comment below and let us know which sessions you’re most looking forward to.

LUMEDX’s home base is in Seattle, and we’re excited about being part of ASE’s event. Visit our booth, #337, to learn about the latest in adult and pediatric echo workflow solutions, including innovative Integration and Analytics tools.

Posted by Tuesday, May 24, 2016 9:45:00 AM Categories: industry news Lumedx

Spotlight on Analytics 

The Role of Analytics in Healthcare

Industry Overview (continued)

Q&A With Gus Gilbertson, Product Manager for LUMEDX

Part 2 of our new series​. In this week’s installment, we continue our overview of the role of analytics in the healthcare industry.

Q: There’s been an increased focus on big data in other industries recently. How is the healthcare industry responding?

A: Data management is becoming an increasing focus in healthcare. Electronic Medical Records, HL-7 feeds, imaging systems, genomics, labs, and medications are all being gathered and increasingly mined for insight into health risks and outcomes. With the growing use of health, consumer, and business data--and shifts in regulatory guidelines, data governance and data resource management are growing in importance in healthcare.

Q: How is the healthcare industry different from other industries when it comes to data analytics?

A: In some ways, the EMR has been a black hole sucking in data for years, with limited options for analysis. Increasingly, a variety of tools are getting access to that data, and it is being supplemented with edge systems to create a fuller view of patient and population health.

In addition, different segments of the industry each use big data in different ways. Everyone uses big data to market to consumers. Payers and providers use it to identify care patterns. Pharmacies use it to better understand patient health and risks. Labs use big data to conduct more tests faster and cheaper, building a more complete picture of patient chemistry. Researchers use big data to help target therapies to specific sub-populations, or even to specific patients. Researchers and population-management teams are using big data to help target therapies to specific sub-populations, or even to specific patients.

Finally, regulatory bodies continue to grow their understanding of the Medicare population and how new therapies are affecting patient health and longevity. Service providers continue to use automation and natural language processing technologies to reduce service costs.

Q: Where do you see healthcare analytics going in five years?

A: Five years will come and go quickly, but I expect care quality measures will become increasingly public. Specific populations of chronic disease patients will find targeted communities that bring the fruits of big data to care patterns. Automation of diagnosis and risk profiling will make us all more keenly aware of our health.

Telehealth will become much more mainstream, supported by a variety of apps and home diagnostic solutions. In addition, healthcare risk profiles and the outcomes different risk factors influence will become a more prominent topic as individuals try to better understand how their health compares to that of relatives and the rest of the population, and look for opportunities to improve health, quality of life, and longevity.

Stay tuned for Part 3 of Spotlight on Analytics, where we’ll explore the financial challenges facing healthcare today. Part 1 of the series is below.

 

Spotlight on Analytics 

With Gus Gilbertson, Product Manager for LUMEDX

Part 1 of our new series, Spotlight on Analytics

Industry Overview

Q: What are some of the challenges the healthcare industry is facing today?

A: Population management initiatives, service bundling programs, payor and provider consolidation, expanding regulatory oversite, an aging population, and expanding quality initiatives – all are increasing value in the U.S. healthcare industry, stretching resources, but also reducing competition.

At the same time, increased healthcare coverage has increased the number of paying customers in the industry. The growing focus on risk promises to change care planning for patients with diverse health profiles, but requires new ways of looking at patient care.

In addition, the increased availability of basic health monitoring data to individuals is helping people manage their health, but incentives for lifestyle change are still evolving. Telehealth is becoming an important healthcare/population health management tool that will likely to continue to disrupt existing on-site clinic and hospital models.

And finally (unfortunately): The growth in options for physically passive content consumption will continue to lead people down a sedentary path toward obesity and cardiovascular complications.

Q: Where do you see big data analytics fitting into the healthcare industry?

A: Increasingly, as more detailed consumer data becomes more accessible to healthcare organizations, they will be better positioned to identify health risks, manage chronic conditions, and tailor care offerings to match patient health profiles. They will also be able to better target marketing and healthcare service offerings to specific populations.

On the new treatments front, genetic factor analysis is becoming faster, easier, and cheaper. The next decade will see us looking at genetic data to better understand and predict health outcomes and guide diagnostic and treatment options.

Genomic analysis and cancer-risk profiling are a growing big-data topic, with genomic data for an individual patient taking big storage.

Natural language processing (NLP) is another big-data area that we can expect to start to impact the way we communicate and get things done. Most large vendors are using natural language processing technologies to respond to simple support and service requests. NLP is also being used to understand sentiment in a wide range of categories, often driven off of Twitter feeds. Expect NLP tools to come to your EMR or health records and analyze health risks.

This concludes Part 1 of Spotlight on Analytics, an ongoing series of blog posts. Stay tuned for Part 2!

 

Posted by Thursday, May 05, 2016 10:54:00 AM Categories: analytics data health information technology HIT
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