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The Crack Down on Silos of Patient Data: CMS and ONC Interoperability Rules Hit Health Plans

Earlier in the year, the Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) proposed rules on interoperability, data blocking, and other activities as part of implementing the 21st Century Cures Act. The proposed separate but related rules would require that patients have easy access to their health data.

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Are You Allergic to Messy Data?

Incomplete and inconsistent allergy data is a significant industry problem. Prescribers override more than 90% of allergy alerts intended to protect patients from ADEs due to the belief that many of the documented EHR drug allergies are incorrect, and therefore inconsequential to patient care.

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

Three experts from Wolters Kluwer addressed how AI-powered software solutions, including natural language processing (NLP) and machine learning (ML), can help optimize the tedious process of reviewing patient medical records to more accurately inform high-value organizational initiatives and drive improved patient care.

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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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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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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 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 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 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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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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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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Three Reasons DSM-5 Mapping Strategies Matter

The introduction of industry standards such as SNOMED CT, ICD-10, LOINC, and RxNorm is an important step toward achieving the goals of interoperability and information sharing. Yet healthcare organizations still face notable challenges to laying the best frameworks for normalizing data to these standards. Since there is no one standard that addresses all healthcare information, […]

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Are Your Reports Showing Pregnant Men and Smoking Babies?

A goldmine of data exists across the healthcare continuum. Hospitals and health systems, by and large, recognize the opportunity. Many just don’t know how to overcome the complexities of data management to make it work for them. Consider the challenges: Staggering amounts of patient information are regularly accumulated from disparate systems, many with their own […]

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NLP: Unlocking the potential of unstructured text in healthcare

Hospitals and health systems are sitting on a wealth of patient information that has potential to transform care delivery. Yet analytics infrastructures designed to fuel performance improvement have traditionally overlooked much of that data because it resides in health IT systems as unstructured free text. The industry has made notable inroads with structured patient data […]

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Provider Friendly Terminology: A Better Problem List Strategy

Problem lists are not new to healthcare, yet the industry has historically struggled to accurately capture this critical snapshot of patient problems and visit diagnoses. While EHRs now provide an efficient way to gather problem list data, they don’t address the underlying challenge of clean data capture due to the wide variance in terminologies used […]

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Health Language and MediMobile Partner to Improve the Hospital Revenue Cycle

It’s no secret that reimbursement is increasingly complex for today’s hospitals and health systems. In truth, a fair amount of billing inaccuracies and missed charge capture has always been part of the bottom-line challenge. But today’s providers simply cannot afford to let any money slip through the cracks as they navigate new value-based care models […]

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Overcoming the Complexity of Customizable Data

EMR and other healthcare software applications must maintain dropdown lists of codes, which are regularly updated by the standard bodies. As a software vendor you need to ensure that you are monitoring for updates, analyzing each update to determine what actually changed, and then incorporating the updates and shipping updated code to all of your […]

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Release of 2017 ISA is Good News for Interoperability

The Office of the National Coordinator for Health Information Technology (ONC) recently released the 2017 Interoperability Standards Advisory (ISA), an update to the 2016 version that holds great promise for advancing health information exchange. National Coordinator Vindell Washington hailed the release as “a key step toward achieving the goals” outlined in the Shared Nationwide Interoperability Roadmapand Interoperability Pledge announced earlier […]

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The Impacts of the 21st Century Cures Act

The 21st Century Cures Act was signed into law just last month.  This broad law reduces the bureaucracy for drug approval, provides billions of dollars to the NIH for research, and provides funding to state governments to deal with the opioid epidemic.  But along with these touted benefits, this law includes significant impacts for healthcare IT. […]

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New Measures Increase Focus on Semantic Interoperability

National healthcare movements demand an interoperable framework for accurate data exchange across healthcare continuums. As value-based care continues to unfold, the industry at large remains focused on efforts to mature interoperability to support high-level quality initiatives aimed at improving population health and cutting costs. For this reason, the Office of the National Coordinator (ONC) recently […]

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