Literature DB >> 22195060

Demonstrating "collect once, use many"--assimilating public health secondary data use requirements into an existing Domain Analysis Model.

Cynthia Barton1, Crystal Kallem, Patricia Van Dyke, Donald Mon, Rachel Richesson.   

Abstract

The healthcare industry has an increasing need for clinical data content standards to support patient care and data re-use in areas such as research, quality and public health. The Diabetes Data Strategy (Diabe-DS) project was formed in 2009 by the HL7 EHR Working Group to demonstrate a repeatable process that identifies disease-specific Common Data Elements (CDEs) for clinical care and secondary use. The Diabe-DS project previously developed a set of important CDEs and supporting data models for clinical care, quality and research uses of diabetes data. This paper will describe the process for identifying the data elements and activities required for public health use of clinical data, and mapping them to Diabe-DS CDEs, use case and data models. The result is a model for consideration which provides data needed in the immediate clinical environment of care, and supports the use of data for multiple uses.

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Mesh:

Year:  2011        PMID: 22195060      PMCID: PMC3243233     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  5 in total

1.  Electronic health record - public health (EHR-PH) system prototype for interoperability in 21st century healthcare systems.

Authors:  Anna O Orlova; Mark Dunnagan; Terese Finitzo; Michael Higgins; Todd Watkins; Allen Tien; Steven Beales
Journal:  AMIA Annu Symp Proc       Date:  2005

Review 2.  Development of a national core dataset for preoperative assessment.

Authors:  Leila Ahmadian; Ronald Cornet; C Kalkman; N F de Keizer
Journal:  Methods Inf Med       Date:  2009-02-18       Impact factor: 2.176

3.  Standards of medical care in diabetes--2010.

Authors: 
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

4.  Advancing secondary data uses through data standards.

Authors:  Crystal Kallem; Rachel Richesson; Donna DuLong; Luigi Sison; Patricia Van Dyke; Donald T Mon
Journal:  J AHIMA       Date:  2011-04

5.  Development of common data elements: the experience of and recommendations from the early detection research network.

Authors:  Marcy D Winget; John A Baron; Margaret R Spitz; Dean E Brenner; Denise Warzel; Heather Kincaid; Mark Thornquist; Ziding Feng
Journal:  Int J Med Inform       Date:  2003-04       Impact factor: 4.046

  5 in total
  4 in total

1.  Advancing Symptom Science Through Use of Common Data Elements.

Authors:  Nancy S Redeker; Ruth Anderson; Suzanne Bakken; Elizabeth Corwin; Sharron Docherty; Susan G Dorsey; Margaret Heitkemper; Donna Jo McCloskey; Shirley Moore; Carol Pullen; Bruce Rapkin; Rachel Schiffman; Drenna Waldrop-Valverde; Patricia Grady
Journal:  J Nurs Scholarsh       Date:  2015-08-06       Impact factor: 3.176

2.  Building a model for disease classification integration in oncology, an approach based on the national cancer institute thesaurus.

Authors:  Vianney Jouhet; Fleur Mougin; Bérénice Bréchat; Frantz Thiessard
Journal:  J Biomed Semantics       Date:  2017-02-07

3.  Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics.

Authors:  Hye Hyeon Kim; Yu Rang Park; Kye Hwa Lee; Young Soo Song; Ju Han Kim
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-20       Impact factor: 2.796

4.  Transitioning to Digital Systems: The Role of World Health Organization's Digital Adaptation Kits in Operationalizing Recommendations and Interoperability Standards.

Authors:  Tigest Tamrat; Natschja Ratanaprayul; Maria Barreix; Özge Tunçalp; David Lowrance; Jenny Thompson; Leona Rosenblum; Nancy Kidula; Ram Chahar; Mary E Gaffield; Mario Festin; James Kiarie; Brian Taliesin; Carl Leitner; Sylvia Wong; Teodora Wi; Hillary Kipruto; Ayotunde Adegboyega; Derrick Muneene; Lale Say; Garrett Mehl
Journal:  Glob Health Sci Pract       Date:  2022-02-28
  4 in total

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