NLP
Jaan Sidorov, KevinMD
“Years ago, if you were elderly, had diabetes, high blood pressure, low back pain, needed a yearly flu shot and came to see this electronic health record-enabled physician (now with the nom de plume “Disease Management Care Blog”), you would have had your diabetes, high blood pressure and low back pain reassessed, you would have been given a flu shot and, for good measure, the DMCB would have tossed in a discussion about the unpleasantness of getting screened for cancer.
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31 January 2012 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Disease Management, NLP
Sheldon Needle, Medical Software Guides
“The real problem of an established medical practice moving into the realm of EHR is not the cost of the medical software package; it is not the training necessary for staff; and it is not security and backups.
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17 January 2012 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Free text, NLP
Brian T. Horowitz, eWeek
“The next assignment for IBM’s Watson supercomputer is to evaluate treatments for cancer. Health insurer WellPoint, which is looking into real-life applications for Watson, has announced that a leading cancer institution in Los Angeles, Cedars-Sinai’s Samuel Oschin Comprehensive Cancer Institute, will provide expertise to the company on developing applications based on IBM’s Watson data-analytics machine.
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22 December 2011 | No Comments »
Categories: News | Country: United States | Tag(s): NLP, Oncology, Watson
Zhou L et al, Journal of Biomedical Informatics, 2011
Objective
To develop an automated method based on natural language processing (NLP) to facilitate the creation and maintenance of a mapping between RxNorm and a local medication terminology for interoperability and meaningful use purposes.
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29 November 2011 | No Comments »
Categories: Science | Country: United States | Tag(s): Drugs, NLP, Standards, Terminology
Reda Chouffani, Meaningful Health Care Informatics Blog
“It is clear that with the release of iPhone 4S and the deployment of the new Siri as part of the iOS 5, the new voice assistant will ultimately find a place in healthcare.
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31 October 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): mHealth, NLP, Speech Recognition
Mike Miliard, Healthcare IT News
“IBM has launched a new technology designed to extract relevant clinical information from unstructured data. Based on the same natural language processing technology used in IBM’s Watson, its new Content and Predictive Analytics for Healthcare is aimed at preventing patient readmissions.
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25 October 2011 | No Comments »
Categories: News | Country: United States | Tag(s): Decision Making, Industry, NLP, Watson
Steve, EMR Daily News
“Apixio Inc., a provider of clinical integration and search solutions for private health data, and Chinese Community Health Care Association (CCHCA), a provider of healthcare to the community of San Francisco
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26 September 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Industry, NLP, Population health, Search
Paul Cerrato, InformationWeek
“As healthcare moves gradually from a fee-for-service to a pay-for performance model, it will be judged on how closely clinicians adhere to evidence-based guidelines. The best evidence comes from controlled clinical trials, but since so few treatment protocols are supported by these trials, the movers and shakers in clinical medicine are looking to fill the void by recruiting large groups of subjects willing to enroll in them. Not an easy task.
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16 September 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): NLP, Research
Ohno-Machado L. J Am Med Inform Assoc, 18(5)
Meaningful use of electronic health records (EHRs) for patient care or for research requires data to be comparable. Many portions of EHRs continue to be unstructured, presenting significant challenges for biomedical informatics. This issue of the journal displays several solutions to this problem that are based on natural language processing (NLP) techniques.
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12 September 2011 | No Comments »
Categories: Science | Country: United States | EHR: EHR, EHR USA | Tag(s): Health Information Exchange, NLP, Watson
Joseph Goedert, HDM Breaking News
“Natural Language Processing technology can take transcribed text, structure it into computable data, and apply SNOMED CT and other terminologies or codes for richer data abstraction and analysis.
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11 September 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): NLP, Terminology
Joe Petro, KevinMD
“80 percent of the clinical documentation that exists in healthcare today is unstructured. It is sometimes referred to as “the text blob” and is buried within electronic health records (EHRs). The inherent problem with “the text blob” is that locked within it lies an extraordinary amount of key clinical data – valuable information that can and should be leveraged to make more informed clinical decisions, to ultimately improve patient care and reduce healthcare costs.
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2 September 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Free text, Meaningful Use, NLP
Ken Terry, InformationWeek
“While we have yet to reach the holy grail of converting free text to structured data in an electronic health record (EHR), natural language processing (NLP) is beginning to show real promise in healthcare. The latest indication of this is a study showing that the application of NLP to free text in an EHR identifies postsurgical complications more accurately than the analysis of discharge billing codes.
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30 August 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Free text, NLP
Katherine Harmon, Scientific American
“It doesn’t take much imagination to think of ways in which all of the data being recorded into electronic health records (EHRs) could be used study diseases and map trends. One of the problems in putting this data to work, however, is that these forms are not uniformly maintained—and the more structured sections with standardized codes lack nuance and might even be misleading, according to some researchers.
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26 August 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Free text, Narrative, NLP, Search
Neil Versel, EMR and HIPAA
“A paper just published online in the Journal of the American Medical Association found that searching EMRs with natural-language processing identified up to 12 times the number of pneumonia cases and twice the rate of kidney failure and sepsis as did searches based on billing codes—ironically called “patient safety indicators” in the study—for patients admitted for surgery at six VA hospitals.
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26 August 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Claims Data, emr, NLP, Quality
Murff HJ et al, JAMA, 306(8)
CONTEXT
Currently most automated methods to identify patient safety occurrences rely on administrative data codes; however, free-text searches of electronic medical records could represent an additional surveillance approach.
OBJECTIVE
To evaluate a natural language processing search-approach to identify postoperative surgical complications within a comprehensive electronic medical record.
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25 August 2011 | No Comments »
Categories: Science | Country: United States | EHR: EHR, EHR USA | Tag(s): emr, NLP, Patient Safety
Bob Mitchell, CMIO
“Although natural language processing (NLP) research in the clinical setting has occurred since the 1960s, progress in developing NLP applications for clinical text has been slow and lags behind progress made in the general NLP domain, according to an editorial in the September issue of Journal of the American Medical Informatics Association.
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18 August 2011 | No Comments »
Categories: News | Country: United States | Tag(s): Narrative, NLP
Chapman WW et al, J Am Med Inform Assoc, 18(5)
This issue of JAMIA focuses on natural language processing (NLP) techniques for clinical-text information extraction. Several articles are offshoots of the yearly ‘Informatics for Integrating Biology and the Bedside’ (i2b2) (http://www.i2b2.org) NLP shared-task challenge, introduced by Uzuner et al (see page 552) and co-sponsored by the Veteran’s Administration for the last 2 years. This shared task follows long-running challenge evaluations in other fields, such as the Message Understanding Conference (MUC) for information extraction, TREC for text information retrieval, and CASP for protein structure prediction. Shared tasks in the clinical domain are recent and include annual i2b2 Challenges that began in 2006, a challenge for multi-label classification of radiology reports sponsored by Cincinnati Children’s Hospital in 2007, a 2011 Cincinnati Children’s Hospital challenge on suicide notes, and the 2011 TREC information retrieval shared task involving retrieval of clinical cases from narrative records.
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18 August 2011 | No Comments »
Categories: Science | Country: United States | Tag(s): Narrative, NLP
Paul Cerrato, InformationWeek
“A collaboration between the University of Pittsburgh Medical Center (UPMC) and Nuance Communications, makers of Dragon Medical Enterprise, will offer several advantages: Doctors at the hospital can more effectively add information into their electronic medical record (EMR) software, the facility will save on traditional transcription service fees, and on a grander scale, their development agreement will use natural language processing to crunch all this data to improve clinical decision-making.
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12 August 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Decision Making, emr, NLP, Speech Recognition
Gerbier S et al, BMC Medical Informatics and Decision Making, 11(1)
BACKGROUND:
The identification of patients who pose an epidemic hazard when they are admitted to a health facility plays a role in preventing the risk of hospital acquired infection. An automated clinical decision support system to detect suspected cases, based on the principle of syndromic surveillance, is being developed at the University of Lyon’s Hopital de la Croix-Rousse. This tool will analyse structured data and narrative reports from computerized emergency department (ED) medical records. The first step consists of developing an application (UrgIndex) which automatically extracts and encodes information found in narrative reports. The purpose of the present article is to describe and evaluate this natural language processing system.
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8 August 2011 | No Comments »
Categories: Science | Country: France | Tag(s): emergency, emr, NLP, Surveillance
Ken Terry, InformationWeek
“Using a Beacon grant provided by the Office of the National Coordinator of Health IT, the Mayo Clinic is building what may be the next generation of health information exchanges (HIE) with a group of healthcare providers in southeast Minnesota. In this real-world demonstration, Mayo will apply the computer tools it is developing through a federal SHARP grant to create new methods of mining electronic health record (EHR) data.
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21 July 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): CCD, Data Mining, Health Information Exchange, HL7, NLP, SNOMED
