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Month: September 2021

A conversation with Leigh Ann Grey, OBIEE Developer

This month HealthAxis sits down with Leigh Ann Grey, OBIEE Developer. Leigh Ann talks about her department, challenges she has faced, and what she enjoys at HealthAxis.


Tell us about your department/team – what/who do they support and how?  

I am a member of the Oracle Business Intelligence Enterprise Edition (OBIEE) development team. Our team members perform tasks that ensure our tools and solutions are ready to support the healthcare market needs. Our team designs and develops all OBIEE solutions within the Administration tool. We create and maintain OBIEE reports and work closely with Business Analysts and Extract transfer and load (ETL) developers to ensure our solutions align with the business needs of our valued customers.

What wins or challenges have you/your department recently had? 

A recent challenge that turned into a win was when I recently had the opportunity to learn a new reporting tool. Client requirements dictated the development of their current reports into another business intelligence tool. Although it was challenging, I took the opportunity to increase my knowledge and skills. After the project was complete, I felt confident in the new skill I had acquired.

There have also been challenges requiring the development of “out of the box” solutions. I particularly like being assigned and tackling these challenges when they increase my knowledge and abilities.

What have you learned from a client, partner, or coworker that has made an impact? 

I especially enjoy working with the Wounded Warrior Project (WWP) who does so much to help our warriors. We provide data and analytics to track treatment progress, patient participation, and other metrics that help improve their programs. WWP and their partner medical centers across the country use our analytics to find better ways to help our wounded warriors. Sometimes, in the day-to-day tasks, it is easy to forget that the data, analytics, and reports we provide are making an impactful difference in the health and lives of many.

What has been your favorite memory so far with HealthAxis? 

Perhaps my favorite memory was when the Analytics Partners (AP) team met Shilen Patel, CEO of HealthAxis, for the first time in St. Augustine, FL. Meeting Shilen and hearing about his plans for HealthAxis was reassuring. Understanding long-term goals and how AP would fit into the plans created excitement about the upcoming transition. The goals included providing solutions and services to the healthcare industry to make patients healthier while reducing healthcare costs. I found his philosophy of Healthcare Rebooted to be very inspiring and was ready to join this innovative team.

Predictive Analytics Reduces Healthcare Costs and Improves Quality of Care…Definitively.

Reduce Costs with Predictive Analytics

There has been a paradigm shift towards outcome and value-based payment initiatives in healthcare. This has created a push to utilize health data and predictive analytics to improve patient care and optimize information processing. From cost savings to risk management, health information technology has been revolutionizing the field of healthcare management.

Insights Are Lurking in Those Databases 

Healthcare systems are becoming increasingly data-reliant in this technological revolution. With more access to aggregated data, it can be analyzed as a whole to allow an efficient allocation of resources. Lurking in these databases is information on systemic wastes of resources and health trends of populations. Health systems can track patient outcomes and individual practitioner performance in real-time, and even identify people at risk for chronic diseases.

Reduced Costs for Payers and Providers

In addition to healthcare systems, healthcare payer and provider organizations are employing predictive analytics to optimize their practices. In 2019, 61% of executives used technology within their organizations (SOA). Those who weren’t stated that they plan to do so in the next five years.

Of those who have been using predictive analytics, 42% reported reduced costs and 39% reported improved patient satisfaction as a direct result of its implementation. These executives plan to increase their investment in predictive analytics and expect to save 15% or more over the next five years.

One thing payers and providers both agree on is that predictive analytics is critical to the future of their business. The two most desired outcomes executives cited – cost reduction and patient satisfaction – were recorded as the top two actual seen results. As 2021 comes to an end with record-breaking data analytics utilization rates, we can only anticipate a steady increase from here.