Literature DB >> 15360832

Kaiser Permanente's Convergent Medical Terminology.

Robert H Dolin1, John E Mattison, Simon Cohn, Keith E Campbell, Andrew M Wiesenthal, Brad Hochhalter, Diane LaBerge, Rita Barsoum, James Shalaby, Alan Abilla, Robert J Clements, Carol M Correia, Diane Esteva, John M Fedack, Bruce J Goldberg, Sridhar Gopalarao, Eza Hafeza, Peter Hendler, Enrique Hernandez, Ron Kamangar, Rafique A Kahn, Georgina Kurtovich, Gerry Lazzareschi, Moon H Lee, Tracy Lee, David Levy, Jonathan Y Lukoff, Cyndie Lundberg, Michael P Madden, Trongtu L Ngo, Ben T Nguyen, Nikhilkumar P Patel, Jim Resneck, David E Ross, Kathleen M Schwarz, Charles C Selhorst, Aaron Snyder, Mohamed I Umarji, Max Vilner, Roy Zer-Chen, Chris Zingo.   

Abstract

This paper describes Kaiser Permanente's (KP) enterprise-wide medical terminology solution, referred to as our Convergent Medical Terminology (CMT). Initially developed to serve the needs of a regional electronic health record, CMT has evolved into a core KP asset, serving as the common terminology across all applications. CMT serves as the definitive source of concept definitions for the organization, provides a consistent structure and access method to all codes used by the organization, and is KP's language of interoperability, with cross-mappings to regional ancillary systems and administrative billing codes. The core of CMT is comprised of SNOMED CT, laboratory LOINC, and First DataBank drug terminology. These are integrated into a single poly-hierarchically structured knowledge base. Cross map sets provide bi-directional translations between CMT and ancillary applications and administrative billing codes. Context sets provide subsets of CMT for use in specific contexts. Our experience with CMT has lead us to conclude that a successful terminology solution requires that: (1) usability considerations are an organizational priority; (2) "interface" terminology is differentiated from "reference" terminology; (3) it be easy for clinicians to find the concepts they need; (4) the immediate value of coded data be apparent to clinician user; (5) there be a well defined approach to terminology extensions. Over the past several years, there has been substantial progress made in the domain coverage and standardization of medical terminology. KP has learned to exploit that terminology in ways that are clinician-acceptable and that provide powerful options for data analysis and reporting.

Mesh:

Year:  2004        PMID: 15360832

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  13 in total

1.  SNOMED CT: utility for a general medical evaluation template.

Authors:  Steven H Brown; Peter L Elkin; Brent A Bauer; Dietlind Wahner-Roedler; Casey S Husser; Zelalem Temesgen; Shawn P Hardenbrook; Elliot M Fielstein; S Trent Rosenbloom
Journal:  AMIA Annu Symp Proc       Date:  2006

2.  A simple strategy for implementing standard reference terminologies in a distributed healthcare delivery system with minimal impact to existing applications.

Authors:  Omar Bouhaddou; Michael J Lincoln; Sarah Maulden; Holli Murphy; Pradnya Warnekar; Viet Nguyen; Siew Lam; Steven H Brown; Ferdinand J Frankson; Glen Crandall; Carla Hughes; Roger Sigley; Marcia Insley; Gail Graham
Journal:  AMIA Annu Symp Proc       Date:  2006

Review 3.  Conceptual knowledge acquisition in biomedicine: A methodological review.

Authors:  Philip R O Payne; Eneida A Mendonça; Stephen B Johnson; Justin B Starren
Journal:  J Biomed Inform       Date:  2007-03-27       Impact factor: 6.317

4.  Concept dictionary creation and maintenance under resource constraints: lessons from the AMPATH Medical Record System.

Authors:  Martin C Were; Burke W Mamlin; William M Tierney; Ben Wolfe; Paul G Biondich
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

5.  A Survey of Direct Users and Uses of SNOMED CT: 2010 Status.

Authors:  Gai Elhanan; Yehoshua Perl; James Geller
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  A survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and quality.

Authors:  Gai Elhanan; Yehoshua Perl; James Geller
Journal:  J Am Med Inform Assoc       Date:  2011-08-11       Impact factor: 4.497

Review 7.  Abstraction networks for terminologies: Supporting management of "big knowledge".

Authors:  Michael Halper; Huanying Gu; Yehoshua Perl; Christopher Ochs
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

8.  Clinical Clarity versus Terminological Order - The Readiness of SNOMED CT Concept Descriptors for Primary Care.

Authors:  Zhe He; Michael Halper; Yehoshua Perl; Gai Elhanan
Journal:  MIXHS 12 (2012)       Date:  2012 Oct-Nov

9.  The state of the art in clinical knowledge management: an inventory of tools and techniques.

Authors:  Dean F Sittig; Adam Wright; Linas Simonaitis; James D Carpenter; George O Allen; Bradley N Doebbeling; Anwar Mohammad Sirajuddin; Joan S Ash; Blackford Middleton
Journal:  Int J Med Inform       Date:  2009-10-14       Impact factor: 4.046

10.  Detecting role errors in the gene hierarchy of the NCI Thesaurus.

Authors:  Hua Min; Barry Cohen; Michael Halper; Marc Oren; Yehoshua Perl
Journal:  Cancer Inform       Date:  2008
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