Healthcare Language Processing, Language Interpretation, Digital Transcription, and Language Processing Solution Resources Healthcare Language Processing, Language Interpretation, Digital Transcription, and Language Processing Solution Resources

FEATURED ARTICLES: LANGUAGE PROCESSING

  • Medical Moneyball — What Healthcare Stands To Learn From The Oakland A’s
    Medical Moneyball — What Healthcare Stands To Learn From The Oakland A’s

    With all the talk of Big Data, there are still big questions as to how to most effectively leverage information and data to make a positive impact on healthcare delivery, cost, and outcomes. One health system leader thinks an approach developed by a Major League baseball team might be a game changer.

  • A Road Map To Accelerating Health IT Value And Innovation

    Health IT is in a state of constant evolution, and it often seems that, for every problem solved, another is created. That’s why it’s vital we stop to assess where the industry stands from time to time, as well as look to the future to determine the best course to take to achieve our collective goals.

  • $4.3 Billion Invested In Digital HIT In 2015

    While the number of venture capital-funded deals dropped, the average amount rose. By Christine Kern, contributing writer

  • Top 10 Health IT Trends For 2016

    For the past five years, EHR/MU was selected as the top health IT initiative for the coming year. This year, there’s a new top initiative, and what it is should come as no surprise.

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CASE STUDIES & WHITE PAPERS

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FROM THE EDITOR'S DESK

  • The Problem With Consumerism In Healthcare
    The Problem With Consumerism In Healthcare

    Many industry leaders championed a free market approach to healthcare during the 12th Annual World Health Care Congress last week. Here are a few key reasons why I don’t think this model is “the fix” our industry so desperately needs.

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LANGUAGE PROCESSING PREMIUM CONTENT

  • Medical Moneyball — What Healthcare Stands To Learn From The Oakland A’s
    Medical Moneyball — What Healthcare Stands To Learn From The Oakland A’s

    With all the talk of Big Data, there are still big questions as to how to most effectively leverage information and data to make a positive impact on healthcare delivery, cost, and outcomes. One health system leader thinks an approach developed by a Major League baseball team might be a game changer.

Top 10 Health IT Trends For 2016

For the past five years, EHR/MU was selected as the top health IT initiative for the coming year. This year, there’s a new top initiative, and what it is should come as no surprise.

A Road Map To Accelerating Health IT Value And Innovation

Health IT is in a state of constant evolution, and it often seems that, for every problem solved, another is created. That’s why it’s vital we stop to assess where the industry stands from time to time, as well as look to the future to determine the best course to take to achieve our collective goals.

More From Health IT Outcomes Magazine

ABOUT LANGUAGE PROCESSING

Natural Language Processing (NLP) in healthcare is the processing of text with computer applications. NLP promises to reduce costs and improve quality for healthcare providers. With NLP, medical coding, records transcription, and clinical documentation processes can be significantly improved by limiting the number of employees required to perform these tasks and reducing the time it would normally require to input data manually.

NLP is designed to turn unstructured free text into structured values. NLP will ideally be able to assist physicians at the point of care, by offering them answers to questions based on the current set of records and information the system has available. IBM's Watson was one of the first largely-public displays of NLP when it appeared on Jeopardy, showing the world the potential of natural language processing by computers.

The advanced ICD-10 coding system has helped make a stronger case for NLP. The system's complexity in terms of the large range of codes available for each digit is something that could be completed programmatically. With NLP, computers will interpret notes and diagnoses from physicians and provide the proper codes. Similarly, another application of NLP is in EHR systems, where doctor's free-text notes can be taken, processed, and filled into the structured forms required by EHR systems.

INDUSTRY EVENTS

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