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Data Sharing Done Right: Cost Containment in the New Payment Paradigm

As the industry continues to move away from fee-for-service, it’s become increasingly clear that data-sharing is a crucial component of value-based payment arrangements. For payers, technology can be a powerful tool in the administration of care and disease management programs, and ultimately one that helps drive down costs.

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Harnessing the Power of Data to Advance Value-based Care

Payers shifting to value-based care are finding they need higher-quality data, as well as more efficient ways to manage that data, to power their initiatives. Better data and a good data management strategy allow payers to improve compliance and analytics while identifying and addressing any gaps in care.

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Q&A: Data Brings Challenges and Opportunities to Payer Organizations

As the healthcare industry moves toward value-based care, payers are increasingly concerned with clinical outcomes. Read the Q&A to learn how payers health plans are establishing a single source of truth for standards and addressing interoperability challenges associated with using more diverse data so they can achieve their goals around improving clinical outcomes, improving patient […]

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Executive Brief: Rethinking Data Strategies for Bottom Line Impact – The Power of Reference Data Management

Extracting “value” to achieve bottom line results requires healthcare organizations have systems in place to ensure clinical, operational, and financial data are captured and used to for reporting quality metrics tied to risk-based payments and reimbursement.

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Reference Data Management:  Breaking Down the Silos of Big Data. A new strategic agenda for health care payer operations.

As payers redefine their operations to proactive predictive models, access to underlying data that is reliable and accurate is essential to uncovering strategies that support this transformation.

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Unspecified Diagnosis Codes Can Have Significant Financial Impacts

Clinicians have on average over five hundred common diagnoses on their picklist and use an average of nine hundred diagnosis codes every day. Find out how you can help manage the vast number of codes, improve your clinical diagnosis process, decrease queries and maximize your reimbursement.

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How to Use Standardized Healthcare Terminologies to Meet Your Quality Care Goals

In order for healthcare to be safe, effective, patient centered, timely, efficient, and equitable,the adoption of information technology is critical.Only when you can merge clinical, claims, and patient-collected data can you generate a holistic view of the patient and his or her care over time.

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Achieving Advanced Interoperability and Analytics: The Importance of Data Quality and Governance

As federal regulatory initiatives continue to encourage information-sharing capabilities inside and outside a healthcare organization, the C-level is increasingly finding that an Enterprise Terminology Management strategy is critical to success.

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Data Normalization: The Foundation of Forward-Thinking Initiatives

Terminology is core to everything in healthcare. Unfortunately, the explosive growth in healthcare IT has resulted in patient data being scattered across an array of rapidly proliferating IT systems—each with their own way of representing clinical terms, creating an environment of data locked in silos. This terminology barrier must be overcome if we are to recognize the national […]

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Merging Claims and Clinical Data: CPT to LOINC Maps

Increasingly, payers are relying on laboratory data to support quality and reporting initiatives, analytics, and population health strategies. Maps between lab orders and lab results can assist health plans to identify and close gaps between claims from providers and lab results received from a variety of sources including hospitals, national lab providers, and HL7 messages. […]

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