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Future NCHS-Linked Data
Using Linked Data and Natural Language Processing to Support Patient-Centered Outcomes Research on Opioids
Merianne Rose T. Spencer, M.P.H. National Center for Health Statistics Centers for Disease Control and Prevention
Future NCHS-Linked Data Using Linked Data and Natural Language - - PowerPoint PPT Presentation
1 Future NCHS-Linked Data Using Linked Data and Natural Language Processing to Support Patient-Centered Outcomes Research on Opioids Merianne Rose T. Spencer, M.P.H. National Center for Health Statistics Centers for Disease Control and
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Merianne Rose T. Spencer, M.P.H. National Center for Health Statistics Centers for Disease Control and Prevention
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*50 states, New York City, District of Columbia and 5 US territories (American Samoa, Guam, Norther Marianas, Puerto Rico, and Virgin Islands)
7 Data collectio ion & exchange
forma rmatio ion
investigation may take place (e.g., interviews, toxicology, ancillary tests), if injury-related
certifier (i.e., physicians, medical examiners, coroners)
information to NCHS
Data process ssing & data coding
records from state vital records
quality checks;
death;
files and other data for analysis
Dissemin inatio ion of mortalit lity y data
statistical files, provisional estimates, National Death Index)
via online platforms (e.g., CDC WONDER), conferences, presentations, statistical reports and other venues
and responds to inquiries
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mechanisms and exchange of death information at the death scene (i.e., between medical examiners/coroners, state vital records offices, autopsy centers, laboratory sites)
states submit records to NCHS
NCHS processes and codes records received by states
identify and report on the specific types of drugs involved in the deaths beyond ICD-10 codes assigned for cause of death
surveillance and reporting of drug overdoses involving
necessary for public health preparedness and response
end-users of data products
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Data col
lection n & & excha hang nge of death h inform
ion
exchange of drug information between state vital registration systems and medical examiner/coroner case management systems Data process
ing g & data codin ding
system with IT infrastructure improvements (e.g., NLP, machine learning)
drug information that would be captured from death certificate literal text Dissemin inatio ion of mortali lity data
supplemental drug data available to researchers
Statistics Rapid Release (VSRR) program for improved public health surveillance
FOR OUTCOMES RESEARCH ON MORTALITY ASSOCIATED WITH OPIOID POISONINGS
aligned with researchers’ needs
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