Experiences from a Large- scale Implementation of SNOMED CT in - - PowerPoint PPT Presentation

experiences from a large scale implementation of snomed
SMART_READER_LITE
LIVE PREVIEW

Experiences from a Large- scale Implementation of SNOMED CT in - - PowerPoint PPT Presentation

Experiences from a Large- scale Implementation of SNOMED CT in Argentina. Dr. Alejandro Lopez Osornio Dr. Guillermo Reynoso termMed IT Buenos Aires, Argentina Hospital Italiano de Buenos Aires Located in Buenos Aires, Argentina Founded on


slide-1
SLIDE 1

Experiences from a Large- scale Implementation of SNOMED CT in Argentina.

  • Dr. Alejandro Lopez Osornio
  • Dr. Guillermo Reynoso

termMed IT

Buenos Aires, Argentina

slide-2
SLIDE 2

Hospital Italiano de Buenos Aires

Located in Buenos Aires, Argentina Founded on 1853 500 bed hospital 10,000 visits a day in the ambulatory system 140,000 patients private health insurance system

slide-3
SLIDE 3

Argentina, December 2001

Protests on the streets demanding the resignation of the president President De la Rua resigned Argentine Peso devalues from 1 U$S to 0.30 U$S Restrictions to cash withdrawal Credit crisis

slide-4
SLIDE 4

Hospital Italiano, December 2001

“Management based on accurate clinical information will let us survive this crisis” (Dr. FGB Quiros) Great boost to the IT program Extension of the Hospital Information System to all areas:

Ambulatory visits Inpatient episodes Emergency Department Diagnostic procedures Pharmacy and Medical Devices Home care

slide-5
SLIDE 5

Terminology use cases

Health insurance services management board

Chronic disease management program Epidemiology department Clinical trials Primary care Physicians Incentives Program Research and teaching (University Hospital) Clinical decision support systems

slide-6
SLIDE 6

Available vocabularies on 2001

Local Pharmacy terminology Local Devices terminology Local Procedures terminology Argentine Reimbursement vocabulary Diagnosis:

Free text secondary coded with:

ICPC and ICD-10 (outpatient) ICD-9CM and DRG (inpatient)

slide-7
SLIDE 7

Requirements

A new terminology System:

Unobtrusive: clinical users do not like things that step in the middle of their usual workflow Immediate: instant codification is the essential to use any kind of CDSS Precise: allow the user to record exactly what he wants, appropriate detail level

slide-8
SLIDE 8

Design Principles

HIBA will use a local list of terms as user interface, constructed from the free- text entries repository The interface vocabulary will be concept

  • riented and will support “near natural

language” expressiveness (lot of qualifiers) This Interface Vocabulary will be mapped to a Reference Terminology and the to different classifications

slide-9
SLIDE 9

Extension Mechanism

Terminologies levels and interactions

Aggregate Terminology Reference Terminology Interface Terminology Natural Language CIE-9-CM CIE-10 CIAP DRG ATC CIE-O SNOMED CT Local Vocabulary SCT Core CrossMaps Mechanism

slide-10
SLIDE 10

SNOMED CT content

Concepts: great coverage, but detail is limited to avoid the ‘combinatorial explosion’. There is some regional bias. Descriptions: acceptable, valid and appropriate descriptions, but do not fully covers local jargon and acronyms (Spanish edition)

SNOMED CT is extendable

slide-11
SLIDE 11
  • Implementation Strategy:

– Standard SNOMED CT

  • User Experience:
  • Cost:

– Standard SCT + New descriptions

  • User Experience:
  • Cost:

– Standard SCT + New descriptions + New concepts

  • User Experience:
  • Cost:
slide-12
SLIDE 12

Plan

Extend SNOMED CT to cover our needs Hide the complexity of the system implementing simple user interfaces:

Templates, pick-lists, checkboxes Search and refine

slide-13
SLIDE 13

Terminology Team

1 Clinical terminologist (MD) (80% time) 1 Full time administrative supervisor 12 part-time medical students 1 Lead Software Analyst and Developer (75% time) and a second for 20% of his time Medical Informatics Department Advisory Board

slide-14
SLIDE 14

SNOMED CT Mechanisms

Extensions Cross-Maps Subsets

slide-15
SLIDE 15

Extensions

Namespace:

slide-16
SLIDE 16

SNOMED CT and Local Extension

SNOMED CT Concepts Relationships Descriptions

slide-17
SLIDE 17

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

slide-18
SLIDE 18

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

New concepts definitions New Descriptions

slide-19
SLIDE 19

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

Left knee

  • steoarthritis

Left knee osteoarthritis Osteoarthritis of left knee Osteoarthritis <- Is a Left knee <- Finding site

slide-20
SLIDE 20

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

Reference Terminology

slide-21
SLIDE 21

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

Interface Terminology

slide-22
SLIDE 22

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

Interface Terminology

  • ne to one relationships

'equivalent to'

slide-23
SLIDE 23

SNOMED CT and Local Extension

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions

Interface Terminology Asthma <- Equivalent to Asthma Asthma Asthmatic

slide-24
SLIDE 24

Dealing with changes on SNOMED CT, new releases every 6 months

SNOMED CT HI Extension New Concepts Relationships Descriptions Concepts Relationships Descriptions Unchanged Concepts Retired Concepts

X

Update time: One person, half day work, during one week

slide-25
SLIDE 25

Local Interface Vocabulary for problems and procedures

2 million free text entries 110,000 selected descriptions

Normalization Frequency count > 10

25,000 concepts 9,000 equivalencies 16,000 new definitions

slide-26
SLIDE 26

Subsets

Simple Subsets:

Diagnosis Signs & Symptoms Surgical Procedures Diagnostic Procedures Drugs & substances Medical Devices

HI Terminology

ID: 328423100001131 ID: 22223100001137 ID: 45565100001137 ID: 4433100001131 ID: 9843100001131 ID: 6743100001131

OB-Gyn Subset

ID: 76656100001137

slide-27
SLIDE 27

Subsets

Language Subsets: Navigation Subsets:

Concept A: Description X Description Y Concept A: Description X (Preferred) Description Y Concept A: Description X Description Y (Preferred)

Medical department 1 Medical department 2 Context:

slide-28
SLIDE 28

SNOMED CT Cross-maps

SNOMED CT HI Extension Concepts Relationships Descriptions Concepts Relationships Descriptions ICD-9CM ICD-10 ICPC

slide-29
SLIDE 29

Tools

Apelon TDE - DTS Protege In house development

slide-30
SLIDE 30

Terminology tools in Hospital Italiano

Terminology Administra1on tool

(Java 2EE Web based Applica-on + CLUE Browser)

Terminology Server

(Web Services)

SNOMED CT Release Domain Experts Clinical Informa-on Retrieval Clinical So3ware Applica-ons

slide-31
SLIDE 31

Requirements for the Terminology Administration tool

Terminology Administra1on tool

(Java 2EE Web based Applica-on + CLUE Browser)

Add, delete concepts and descrip-ons SNOMED CT modeling Subset Administra-on Cross‐maps Administra-on Workflow Administra-on Quality Assurance SNOMED CT Release Terminology Server Domain Experts SNOMED CT periodic update

slide-32
SLIDE 32

Requirements for the Terminology Server

Terminology Server

(Web Services)

Search and Refine Subset retrieval Users Sugges-ons Structured Post‐coordina-on Specific Knowledge Inference Cross map conversion Interface Vocabulary Clinical Informa-on Retrieval Clinical So3ware Applica-on

slide-33
SLIDE 33

Data retrieval

Members of the terminology team analyze “Data retrieval support requests” and define appropriate subsets using an interactive Subset Definition tool: List of membership clauses: Include / Exclude descendants of concept... Include / Exclude concepts with role xx Include / Exclude concepts with role/target xx/yy The “Epidemiology department” uses the subsets on simple SQL sentences More than Data retrieval 1,200 subsets had been created

slide-34
SLIDE 34

Implementation example:

slide-35
SLIDE 35

Implementation example:

slide-36
SLIDE 36

Results

Concept Oriented Thesaurus compilation 2002-2004 Software development 2003-2006 Full implementation in mid-2006 Free submission of new terms on problems list interface Submission rate has stabilized for the problems list but not for procedures Very good acceptance by the doctors = No complaints

slide-37
SLIDE 37

Other standards

HL7 for messaging between different applications Map with ICD-9CM and DRG grouper DSM-IV Map with local specific reimbursement terminologies Participating on a pilot implementation of the draft version of the HL7 decision support services specification (Kawamoto - Lobach, Duke Univ.)

Information Model

No standardization of the information

model yet

slide-38
SLIDE 38

Critical success factors

Full commitment from the to organization levels Respect for local vocabulary Successfully hiding the terminology complexity from the users

slide-39
SLIDE 39

Which were the biggest hurdles to be

  • vercome?

Initial processing of back history of free text Training modelers for the extension Designing a QA process for the adherence to Concept Model guidelines Train clinical users to avoid ‘non-clinical’ statements Manage variability on Procedures domain to maintain expressiveness

slide-40
SLIDE 40

Lessons learned

There’s no such thing as too much effort to make things easier to you clinical users

slide-41
SLIDE 41

Thanks!

termMed IT Argentina