healthaxis

In today’s rapidly transforming healthcare landscape, health plans face mounting pressures to balance operational demands, cost efficiency, and member satisfaction. While artificial intelligence (AI) and automation offer promising solutions, many payers remain hesitant and uncertain about their practical applications and benefits. However, specific technologies like conversational AI and robotic process automation (RPA) are proving their value, creating a foundation for smarter decision-making, significant cost reductions, and deeper member engagement—all without compromising care quality.

In Part 1 of this two-part series, we examined the top five technology areas receiving increased investment from healthcare payers in 2025, according to the 2025 Gartner CIO and Technology Executive Survey. Now, we turn to the next set of high-priority investments aimed at further optimizing payer operations.

ACOs across the country are in varying stages of data-usage. Those who are invested in analytics for ACOs are seeing the quality improvement and cost reduction it has to offer. Data analytics allows ACOs to pull information from a variety of sources to optimize care for their beneficiaries. From real-time tracking to risk analysis, health IT is strengthening the ACO market for both patients and taxpayers.

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.

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.

Data quality must be at the forefront of any data warehouse and analytics project to guarantee validity and value within the information you receive.

What good is collecting endless buckets of data if you can’t trust it?

Overcoming skepticism and distrust can only be accomplished through a robust data quality process. Data quality must be at the forefront of any data warehouse and analytics project to guarantee validity and value within the information you receive.

HealthAxis is exhibiting and speaking at RISE Special Needs Plan Leadership Summit

In today’s healthcare climate, where pay for performance and shared savings models are the new norm, using analytics creates the blueprint for sound care management.  

Author: Shilen Patel, CEO

HealthOps Philosophy is how HealthAxis conducts business and our standard of operation when combining services, technology, and data integration into practice. 

Nearly 20 years of leading healthcare technology companies have convinced me that the challenge of modernizing most dimensions of health care is not a matter of innovation, but typically, a matter of integration. Our field has an opportunity to improve access to care, patient experience, product design, and attain operational excellence. Unfortunately, we are not on par with other growing industries. Healthcare lifers, like myself, have seen rapid progression in mobile banking, the wide acceptance of e-commerce, and the ascent of business philosophies like Agile and DevOps in software development. Fragmentation of work and information, the absence of aligned incentives, and the inertia of complex legacy technology in mission-critical areas generate a frustrating lag to success. Quite frankly, we are alarmed at the absence of this continuous and holistic improvement concept within the industry.