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Data Standards in HHS Data Collection 2012 National Conference on Health Statistics Washington, D.C. August 6-8, 2012. Marjorie S. Greenberg Classifications and Public Health Data Standards Staff National Center for Health Statistics (NCHS) Centers for Disease Control and Prevention (CDC)

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Data Standards in HHS Data Collection2012 National Conference on Health StatisticsWashington, D.C.August 6-8, 2012

Marjorie S. Greenberg

Classifications and Public Health Data Standards Staff

National Center for Health Statistics (NCHS)

Centers for Disease Control and Prevention (CDC)

Department of Health and Human Services (DHHS)


Agenda
Agenda

  • The Case for Data Standards

  • International Classification of Diseases

  • Electronic Health Record Standards for Vital Statistics

  • Demographic standards for HHS surveys

  • Collection of socioeconomic status data in HHS surveys


The case for data standards
The Case for Data Standards

  • Data Standards are the common language that allows:

    • sharing information

    • communication across disciplines

    • integration of disparate data systems

    • comparisons among data sets and across geographic areas

    • linkage of data in a secure environment

    • exchange of data between clinical and population-based data systems


The case for data standards1
The Case for Data Standards

  • Data Standards are the essential building blocks of information systems

    • Classification Systems and Terminologies (e.g., ICD, ICF, SNOMED)

    • Core Data Sets (vital statistics, hospital discharge data)

    • Identifiers (provider, plan, individual)

    • Message formats (e.g., HL-7 and X12)

    • Privacy and Security

    • Implementation Guides


The case for data standards2
The Case for Data Standards

  • Data Standards are the fundamental building blocks for:

    • an effective and efficient health care system

    • disease surveillance

    • monitoring the health and health care of the nation

    • performing outcomes research

    • providing information for decision

      making and policy development


International perspective
International Perspective

  • Health data standards can be traced back several centuries

    • London Bills of Mortality – 17th Century

    • Florence Nightingale – mid - 19th Century

    • Bertillon classification - late 19th century

    • International Organization for Standardization (ISO) – 1947

    • World Health Organization (WHO) – 1948

    • Organization for Economic Cooperation and Development (OECD) – 1961

    • Health Level Seven International – 1987

    • Integrating the Healthcare Enterprise - 1997


NNI

SFS

EVS

NSAI

UNMS

SIS

NSF

LVS

BASMP

DSTU

SMIS

DS

LST

STIR

SEE

SNV

GOST-R

TSE

BSI

DZNM

IBN

AENOR

AFNOR

CSNI

SCC

MOLDST

DSM

ON

IPQ

DIN

JISC

PKN

MSZT

CSSN

UNI

ANSI

SNIMA

SII

IDHKSAR

EOS

ELOT

DGN

INTECO

SASO

KATS

TTBS

DGSM

BPS

BIS

MSA

TISI

KEBS

SNZ

ICONTEC

ABNT

PSB

BSN

SSUAE

INEN

IRAM

TCVN

SLSI

SAI

UNIT

INDECOPI

DPS

ASRO

CSM

SZS

FONDONORMA

CYS


U s standards development
U.S. Standards Development

  • National Center for Health Statistics

    • Birth and Death Certificates

    • Clinical modifications of ICD

    • Health Interview and Examination Surveys

  • National Committee on Vital and Health Statistics (NCVHS) – uniform data sets

  • U.S. Bureau of the Census –demographicsvariables

  • Office of Management and Budget (OMB)

    • Race and Ethnicity Categories

  • DHHS – Consolidated Health Informatics, Meaningful Use of Electronic Health Records

  • HHS Data Council - ACA standards

  • HL-7, ANSI X12, NCPDP - messaging standards


Some take away thoughts
Some Take-Away Thoughts

  • Everyone likes standards – especially their own!

  • It takes a lot of time and patience to develop standards and even more to implement them

  • It’s best to start with minimum standards

  • You need to be at the table

  • Standards increasingly are global


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