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Realizing the Power of Clinical Natural Language Processing to Improve the Bottom Line
Today’s healthcare leaders would be hard-pressed to design forward-thinking IT strategies without considering advances in artificial intelligence (AI). A term that is taking healthcare by storm, AI represents a wide range of technologies that draw from existing data to learn, reason and adapt—ultimately helping users and their organizations answer mission-critical questions and improve decision-making.
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Quality Data: Simplify Data Governance, Advance Interoperability, and Improve Analytics
Unsustainable healthcare costs are driving seismic changes in the way payers do business. All healthcare stakeholders face significant pressure within the framework of value-based care to cut costs while improving clinical outcomes and population health. Forward-looking operational and clinical leaders recognize that they must invest in innovative approaches and technology, such as automation, analytics, and artificial intelligence, to stay relevant and competitive in a dynamic marketplace.
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Wolters Kluwer Launches NLP Platform For Medical Data
The health division of Wolters Kluwer, the legal publisher and technology provider, has launched its own NLP-driven document analysis and data extraction platform – but aimed at the medical sector. They are calling it a ‘clinical natural language processing (cNLP) solution’ and its purpose is to analyse and collect patient data found in ‘free-text’ doctors’ notes and patients’ electronic health records.
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Quality Data: Simplify Data Governance, Advance Interoperability and Improve Analytics
Unsustainable healthcare costs are driving seismic changes to the way payers do business. Consequently, forward-looking operational and clinical leaders recognize that they must invest in innovative approaches and technology such as automation, analytics, and artificial intelligence (AI) to stay relevant and competitive in a dynamic marketplace.
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AI Initiatives Extract Value from Data Assets
When providers implement practices to achieve high data quality, they can more effectively extract value from their data assets and advance AI initiatives. As a result, it’s easy to make the business case for leveraging terminology and data management solutions that use structured data processes to extract, normalize, and map needed data to appropriate industry standards in tandem with cNLP.
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Wolters Kluwer Offers AI-Powered Data Mapping to Help with Hospital M&A
As health systems merge, the need to reconcile data sets from disparate EHR systems for population health and quality improvement is critical, and artificial intelligence can help.
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Wolters Kluwer Accelerates Healthcare Data Mapping with Artificial Intelligence to Bridge Data Silos
Wolters Kluwer is now harnessing AI to bridge data in electronic health records (EHRs) and disparate systems, such as lab results, to improve how organizations identify and report hospitals acquired infections.
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Advancing Population Health in the Behavioral Health Sector
Population health strategies remain a focal point of healthcare industry efforts to improve quality outcomes. Like all stakeholders, those in the behavioral health sector must implement the best infrastructure to support information sharing, collaborative care and accurate analytics.
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A Better Flow: Connecting the Dots on Disease with AI
Leveraging AI, busy clinicians have access to the information they need, when they need it, and to provide the best care and spend the most time with the patient.
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HIE 2.0: CORHIO’s Leaders Map a Pathway to Advanced Data-Sharing Success in Colorado
CORHIO’s leaders have been involved in intensive work to improve data quality while expanding data-sharing more broadly.
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Quality Data Key to New Payment Rule
In early August, the Centers for Medicare & Medicaid Services (CMS) issued its new payment rule with provisions aimed at advancing patient-centered care. The good news is that the Inpatient Prospective Payment System (IPPS) and the Long-Term Care Hospital Prospective Payment System (LTCH PPS) includes changes to existing requirements and new specifications that should advance this goal.
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SNOMED CT and the EHR: Why Should a HIM Professional Care?
Health information management (HIM) professionals serve as the data stewards of the patient medical record. They are responsible for capturing all necessary information about a patient and managing that information over time. As such, it is vital that these professionals understand how clinical data is captured and stored in the age of electronic health records […]
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Expanding Roles: HIM’s Terminology Management Opportunity
The American Health Information Management Association
Data and documentation in healthcare have become increasingly more complex. The healthcare industry’s push toward greater value means healthcare organizations must have systems in place to support high-level data governance and information sharing. Simply put, there is a lot riding on a healthcare organization’s ability to engage in business intelligence, analytics, quality measurement, population health, […]
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Data gone astray: The missing link to a better bottom line
Becker's Health IT & CIO Review
Clinical documentation drives revenue in the new world of fee-for-value care delivery. Fully extracting “value” for the bottom line requires that healthcare organizations have systems in place to ensure all appropriate clinical data is captured and used for analytics and quality metrics reporting. Yet, the reality is that many organizations are simply leaving money on […]
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Realizing the Value of Unstructured Data: Five Ways to Leverage NLP to Boost Outcomes and the Bottom Line
There is a lot of industry discussion underway about the promise of natural language processing (NLP). Increasingly recognized as a powerful tool for unlocking vital clinical data, NLP turns unstructured documentation into shareable data that can be analyzed and acted upon.
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MAP Health Management Taps Wolters Kluwer Health for Data Exchange Services
MAP Health Management — a provider of telehealth and patient engagement solutions for patients with chronic behavioral health disorders — will integrate Wolters Kluwer Health’s Health Language platform to improve its data exchange practices. Health Language, a terminology and data management solution, will support MAP Health Management’s data sharing capabilities for its behavioral health services.
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MAP Health Adopts Health Language System for Population Health Platform
MAP Health Management, a vendor of telehealth systems and other health IT for behavioral health providers, is integrating Health Language, a terminology management system from Wolters Kluwer Health, to enhance interoperability and support more compliant data exchange within its behavioral health platform.
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Guide to Clinical Analytics
The field of clinical analytics enables cooperation between patients, providers, and payers. This is sometimes easier said than done. The end goal for healthcare organizations is to improve outcomes and reduce costs.
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Lost in Translation
Why patient-friendly communication strategies are more important than ever. Patient communication sits at the heart of these developments as a foundational component to strengthening partnerships between all stakeholders— payers, providers, and patients. Providers must leverage communication tactics to improve patient understanding of diagnoses and conditions in all modes of communication, whether spoken, written, or electronic.
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Why The Time Is Right For Reference Data Management
The management and use of the growing volume of clinical and claims data to navigate evolving regulatory initiatives such as the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) and the 21st Century Cures Act is leading many healthcare organizations to turn to reference data management (RDM). This technology provides the infrastructure needed to […]
