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CHA Leverages Resultant’s Data Assessment to Save Over $2M Annually
Our team has 25 years of experience driving better patient outcomes and business operations. Talk to us.
Do any of these obstacles sound familiar?
Operational Inefficiency
Manual processes and disconnected systems deplete resources and increase costs. When employees must manually compile reports, it can take hours—hours that can’t be spent analyzing that data to improve value, patient care, and profitability. The lack of record linkage across data silos hinders improved patient outcomes. EMR migrations become increasingly complex as organizations grow through M&A, and compliance is difficult to maintain for companies at all stages of data maturity.
Limited Business Health Visibility
M&As often result in disparate data systems without interoperability, creating redundant administrative work, introducing the potential for inaccurate data, and making it hard for providers to give the best care. KPI definitions can vary between facilities or departments. And while regulatory reporting meets requirements, it doesn’t indicate the business health of the organization—nor does it shed any light on how patient-facing providers can improve patient outcomes. Tracking revenue performance across locations and predicting resource needs and patient volumes is a constant challenge without the right data infrastructure.
Legacy Technology Burden
Legacy systems can be clunky and hard to work with—they weren’t built with modern healthcare analytics in mind. Most health care organizations using older technologies find themselves struggling to pull data out of their platforms for holistic analysis. Billing operates separately from clinical systems; departments maintain their own tools and spreadsheets. Security and compliance risks also accompany these legacy systems. M&As increase this complexity and often add more data silos.
Transforming an organization requires a partner who can both develop a strategy and execute it to create value
Data-driven insights streamline operations, improve patient outcomes and employee satisfaction, and increase revenue through decreasing costs.
Meet your private health care team
National Healthcare Lead, Private Sector
FAQs
No. We are based in Indianapolis, IN and Dallas, TX, and all our consultants are in the United States. Likewise, your healthcare data stays in the U.S. and meets all security and compliance requirements.
This is a common challenge in health care. We start with a quick data quality assessment to understand what data you have and how reliable it is. We then build executive dashboards focused on the metrics that matter most, like revenue cycle performance, patient volumes, service line profitability, and quality scores. Most importantly, we help you establish processes to maintain data quality going forward, so you can trust your metrics and make confident decisions about your business. The key is starting small, proving value quickly, and building from there.
We take a practical approach to AI, first evaluating your data quality and current processes to identify the best opportunities for automation and advanced analytics. Common starting points include:
We specialize in helping health care organizations standardize and integrate data after M&A. Our approach includes mapping data from different systems, creating consistent metrics across facilities, building automated reporting solutions, and establishing scalable processes for future acquisitions. We've helped clients reduce post-merger reporting time by 50% while improving data accuracy.
Using historical and current data and predictive analytics, we help you better match staffing to patient demand. We create dashboards that show real-time capacity metrics, predict upcoming bottlenecks, and identify opportunities to improve workflow efficiency. This helps reduce overtime, improve staff satisfaction, and maintain quality of care.
Most clients see initial results within eight to twelve weeks, varying with the scope of work. We focus on quick wins that demonstrate value while building toward longer-term transformation. ROI varies by project but typically includes reduced operating costs, improved revenue capture, and staff time savings. We'll work with you to define clear success metrics at the start of any engagement.
Planning Makes Perfect: How Preparation Led to a Successful Data Transformation
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