Empowering Better Health
e4health tackles data, quality, and revenue challenges empowering your teams to focus on better care.
Accurate clinical and financial outcomes across your provider and mid-revenue cycle systems.
Measurable results and value-driven outcomes benefiting both patients and providers.
Our flexible end-to-end solutions address mid-revenue cycle, data quality, and technology challenges so hospitals, outpatient providers, and physician practices maximize outcomes and gain efficiencies.
Health IT Consulting
Drive successful EHR, HIT, and mid-revenue cycle systems change and optimization.
Mid-Revenue Cycle
Achieve the highest levels of quality, productivity, and revenue integrity.
HIM Solutions
Leverage unmatched expertise for data migration and abstraction to ensure patient safety.
Technology Solutions
Software, tools, and analytics to reduce costs, optimize workflows, and improve quality metrics.
Our power is in our People.
Health systems served
Healthcare professionals
Charts assessed and coded
Duplicate medical records reviewed each year (and growing)
Activating AI in the Mid-Revenue Cycle: Myth, Reality, and New Best Practices
Artificial Intelligence is here to stay and going further, especially in revenue cycle. As more healthcare executives push ahead with AI, solutions are cementing themselves in the revenue cycle playbook.
But how can revenue cycle and finance leaders ensure AI delivers improve quality, capacity, and achieves net realized revenue?
This executive brief takes a closer look at the myths, realities, and best practices to optimize next generation technology in the mid-revenue cycle including four specific C-suite questions health executives must ask for all upcoming 2024 AI initiatives.
Did Your Offshore Coding Go Wrong? New Blended Shore Approaches To Consider
The low availability and high cost of experienced coders is a known challenge. Stiff competition for coding talent is leading many hospitals and health systems to look offshore for the coding workforce they need. But the pursuit of offshore coding often backfires due to lower quality, higher rates of denial, and the need for substantial health information management (HIM) oversight.
For these reasons, new blended shore coding models provide a valuable option. Blended shore coding programs bring together offshore talent with domestic, US-based oversight and management to deliver quality AND cost savings. This ebook defines five reasons offshore coding goes wrong and provides new best practices for successful blended shore medical record coding programs.
The HIM Best Practices Guide to Major EHR Change
Hospitals and health systems continue to recognize the importance of collaborative cross-functional teamwork, especially during EHR and other major IT system changes.
This guidebook shares e4health’s proven best practices for IT system implementations. From pre-planning to team empowerment, and strategies to protect clinical data integrity, our guide empowers your organization to deliver better healthcare outcomes.
National RA/HCC Audit Project Case Study
When a large agency sought to determine the performance and validity of risk adjustment and HCC coding across the nation, they contracted with a renowned global leader in healthcare auditing. Over the last five years, e4health has proudly worked with this respected federal contractor to undertake a large HCC audit project. The multifaceted engagement consisted of two pilot years followed by three years of second-level validation. The endgame: Delivering audit quality, accuracy, efficiency, and proper guidance on audit protocols and recommendations.
Recent News
AI in Healthcare IT: Balancing Innovation and Security
In an era where technology permeates every aspect of healthcare, the importance of robust regulatory oversight in healthcare IT cannot be overstated. A recent study by Cornell University’s ILR School, led by Rosemary Batt, has unveiled critical insights into the consequences of insufficient regulation in this vital sector.
The research paints a challenging picture of the healthcare IT landscape. Despite lofty promises of enhanced efficiency and cost reduction, many health IT systems have fallen short of expectations. This gap between promise and reality has led to widespread frustration and burnout among healthcare professionals, undermining the very improvements these systems were meant to deliver.
The integration of AI technologies into health IT systems further complicates this scenario. While AI holds immense potential for revolutionizing patient care, it also introduces new challenges, particularly in terms of data protection and ethical use.
Rich Amelio, SVP of Health IT at e4health, offers a nuanced perspective on this complex issue: “AI integration in healthcare IT presents both transformative potential and significant challenges. While cybersecurity threats remain a concern, AI technologies can substantially reduce operational costs and revolutionize patient care. Through predictive analytics and personalized medicine, AI empowers healthcare providers to anticipate and address patient needs more effectively, potentially improving outcomes. However, realizing these benefits requires a careful balance between innovation and robust governance to ensure data integrity and patient privacy.”
Nick Raup, SVP of AI and Automation Solutions at e4health, elaborates on the current state of AI adoption in healthcare: “We’re at a critical juncture in healthcare, balancing AI adoption with patient privacy protection. Recent cyber attacks have shattered the illusion of healthcare’s immunity to such threats. However, much like the financial industry’s consumer-focused tech advancements, healthcare stands to gain significantly from AI, particularly in administrative and financial workflows. While robust cybersecurity is non-negotiable, the real power lies in pairing healthcare experts with AI technologies. This synergy not only improves efficiency and reduces costs but also ensures AI models are trained by those with hands-on industry knowledge, leading to more accurate and relevant outcomes.”
The insights from these industry leaders underscore a critical point: while AI and advanced technologies offer tremendous potential for improving healthcare delivery, their implementation must be guided by robust regulatory frameworks and industry expertise. The challenge lies in striking a balance between fostering innovation and ensuring patient safety and data security.
In light of these challenges, healthcare organizations need partners who can help them navigate the complexities of health IT implementation and optimization. e4health, with over two decades of industry expertise, stands ready to support organizations in this journey. Our focus on empowering better health through data management, quality improvement, and revenue optimization positions us uniquely to help healthcare providers reduce waste, optimize projects, and maximize outcomes while gaining efficiencies in this rapidly evolving technological landscape.
As we move forward, it’s crucial for all stakeholders in the healthcare ecosystem to reflect on the importance of regulatory oversight in health IT. The potential benefits of advanced technologies in healthcare are immense, but realizing these benefits while mitigating risks requires a concerted effort from regulators, technology providers, and healthcare organizations alike.
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