Presbyterian Healthcare Services ❯
Achieved remarkable revenue cycle performance improvements, driving $3.4M in value—equivalent to a 344% ROI and a nine-month payback on their investment.
Utilized real-time clinical and financial data to elevate performance and drive patient satisfaction. Through system-wide changes, Wise saw a 34% increase in CMI, 19% reduction in unspecified code usage, and more.
Oregon Health and Science University ❯
Established a culture of trust, transparency and analytics, ultimately increasing CMI by 21%, improving CC/MCC capture rates by 5%, and increasing the average rate of return per CDI specialist by 159%.
Comprehensive support for your top priorities
MedeAnalytics helps providers and health systems improve performance throughout the revenue cycle with powerful, self-service analytics. With low margins continuing, maximizing revenue realization and optimizing cost of care is a top priority. Our data-driven, actionable insights help you identify revenue cycle opportunities and take the right steps to positively impact revenue while maintaining quality services for your patients.
Our single platform approach provides immediate visibility into revenue cycle opportunities, tackling some of today's biggest challenges, including:
- Little visibility into A/R aging and denials
- Revenue losses from increasing self-pay accounts
- Changing regulations
- Revenue leakage
- Tracking revenue across multiple care settings
- Lack of visibility into staff performance
Revenue Integrity
Medical billing & coding
Revenue Integrity
Increase case mix index
Revenue Integrity
Prevent and manage audits
Business Office
Payment posting
Business Office
Denial management
Business Office
Aging A/R recovery
Business Office
Self-Pay management
Patient Access
Prior authorizations
Patient Access
Eligibility & insurance verification
Patient Access
Patient pay estimation
Patient Access
Patient registration
Everything you need to support your front office, mid-cycle and back office
Go further: Explore all solutions in Provider Value Analytics
Patient
Access
Insights
Optimize patient satisfaction during the patient registration and payment clearance processes with critical, real-time analytics information.
Revenue Integrity
Suite
See how clinical operations affect your bottom line with complete visibility into compliance risk and clinical documentation performance.
Business Office
Suite
Achieve optimized cash flow and operational excellence with big-picture insight into opportunities for improving collection rate, denials, and staff productivity.
Workforce Quality Insights
Use powerful analytics capabilities to generate end-to-end insights into how patient access activities are impacting the back-office outcomes.
Cost
Insights
Drill down into claims and encounter-level data to target and align controllable costs with outcomes and reimbursement.
Productivity
Analytics
Collect and deliver real-time insights on individual and collective registrar performance, and identify opportunities for training.
Get our take on industry trends
More Megatrends: Price Transparency, Telehealth, Individualized Medicine
By Scott Hampel, president of MedeAnalytics Now that we’ve dealt with Megatrends one through three, we’re approaching the next set.…
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2020 Megatrends: Consumerism, Data Privacy and Security, AI
With 2020 two weeks old, it’s becoming clear the data produced in the healthcare industry by providers, consumers and payers will power and propel our 9 megatrends. Healthcare data is the foundation on which we’re building everything from healthcare outreach for the underserved to new Internet of Things-based healthcare programs to treatments designed just for you.
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Why Unconventional Businesses Will Find Success in Healthcare: It’s the Data
It seems everyone is moving into healthcare. It’s a rapidly growing industry, historically dominated by large, well-embedded companies and organizations, and “pure tech” companies have had difficulty breaking in. That, however, is changing.
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Data and Social Determinants of Health
By Scott Hampel – I think a lot–and I’m not the only one–about how we can improve the ways we pull information from data. Data on its own is inert: just waiting to be understood and then used. And that’s a major challenge for many organizations. Data is often trapped in different applications with no easy or convenient way to extract it.
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