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Drugs making a mess of your data?

Without a data infrastructure in place to support data normalization, healthcare organizations risk experiencing negative downstream impacts resulting in revenue loss, misidentified gaps in patient care, inaccurate analytics, or incorrect clinical decision support.

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Webinar

How Payers Transform Volumes of Data into Actionable Information

Payers recognize the importance of healthcare analytics to achieving improved care delivery, effectiveness, and cost. But fueling these technologies requires reliable, high-quality data in order to yield applicable and useful results. In this webcast, Metcalfe will detail best practices for data quality and management that support innovation at BCBSTX.

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White Paper

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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Blog Post

Lab Mapping…what the LOINC?!

Why Is lab mapping important? Why should you (provider/payer) care? What exactly is being mapped and why? We discuss how Health Language® Solutions can help and give examples in client use cases.

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Blog Post

Raising the Bar on Semantic Interoperability and Data Quality

With healthcare costs reaching an all-time high, payer and provider organizations are hyper-focused on initiatives that improve patient outcomes, control costs and increase profitability.

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Webinar

Leveraging AI to Solve Common Healthcare Challenges: Hear from the Experts

Explore how to use AI in your organization to solve common healthcare IT challenges so you can identify gaps in care for quality measure reporting, calculate risk scores, and generate predictive analytics.

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White Paper

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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White Paper

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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Blog Post

Webinar Recap: How Quality Data is Key to Delivering Value

As hospitals, health systems, and health plans implement value-based care programs, managing the quality of an organization’s data continues to be key to driving down costs and improving the value that patients receive from healthcare providers.

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Webinar

Quality Data: The Key to Enhance Value-based Programs and Member Health

Learn how you can ensure your organization is utilizing the most accurate and reliable data to support critical business functions related to the authorization and adjudication of claims, member engagement, and quality measure reporting.

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Blog Post

Webinar Recap: Quality Data: Three Steps to Simplify Data Governance, Enable Semantic Interoperability, and Enhance Your Reporting and Analytics

With healthcare spending at an all-time high, healthcare leaders face increasing pressure to cut costs while still delivering on organizational initiatives and improved patient care. To be successful, healthcare organizations are looking to innovative technology solutions such as automation, analytics, and artificial intelligence (AI) to help staff be more effective and efficient.

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Webinar

Quality Data: Three Steps to Simplify your Data Governance, Enable Interoperability, and Enhance your Reporting and Analytics

Health leaders must abide by regulatory requirements, report accurate metrics for quality measures, and produce reliable data analytics, all while addressing organizational initiatives and lessening clinician administrative burden.

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Blog Post

Webinar Recap: Applying AI in healthcare: Challenges, opportunities, and emerging applications

The noise about the promise of artificial Intelligence (AI) in healthcare is deafening at times. In fact, today’s clinical, financial and IT leaders would be hard pressed to devise a forward-looking strategy that did not at least consider the role of AI in such initiatives as healthcare quality, cost reduction and population health management.

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Webinar

Applying AI in Healthcare: Challenges, Opportunities, and Emerging Applications

Advances in Artificial Intelligence (AI) are redefining healthcare and enabling improvements in healthcare quality, cost reduction, and population health management.

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Media

Tres Teague on HealthcareNOW Radio

The 4th Annual SHIEC Conference in Atlanta GA, August 2018. Director Tres Teague explains Wolters Kluwer’s role in the HIE space. And he shares why data normalization is important for HIEs, Payers, and ACOs.

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White Paper

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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Blog Post

Breaking Down the Data Silos: How reference data is the cornerstone of an overall data management strategy

The importance of overcoming this challenge was recently underscored in a webinar hosted by Health Data Management. My colleague Brian Diaz, Wolters Kluwer Health Language Senior Director of Strategy, and I took an in-depth look at how healthcare organizations can bring together strategy, systems, and infrastructure to support management of a crucial enterprise asset: reference data.

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Webinar

Breaking down the silos of big data: How reference data is the cornerstone of an overall data management strategy

Managing reference data is a critical building block of an overall master data management strategy, and the missing link that helps to structure and prepare data for more advanced analytics and reporting to achieve greater healthcare initiatives.

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White Paper

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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Blog Post

Financial Stability in a Fluid Market

Revenue cycle management can leverage systems and workflows that close gaps, tie up loose ends, and ensure submission of a clean claim. Reference data—representing the coded and uncoded data used across a health system—plays an all-important role in strategies that optimize revenue cycle processes and ensure compliance with industry licensing requirements. As the market continues to […]

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