1 / 115

Clinical Guidelines

Clinical Guidelines. Veli Bi ç er. Outl ine. Evidence-Based Medicine Clinical Guidelines Developing Guidelines Computerized Clinical Guidelines Arden Syntax GEM PRO forma & Arezzo. Outl ine cont’d. Asbru & DeGel GUIDE & NewGuide MyHeart EON & Athena GLIF Towards Standardization

LionelDale
Télécharger la présentation

Clinical Guidelines

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Clinical Guidelines Veli Biçer

  2. Outline • Evidence-Based Medicine • Clinical Guidelines • Developing Guidelines • Computerized Clinical Guidelines • Arden Syntax • GEM • PROforma & Arezzo

  3. Outline cont’d • Asbru & DeGel • GUIDE & NewGuide • MyHeart • EON & Athena • GLIF • Towards Standardization • What is next? • References

  4. Evidence-Based Medicine • Advocates the use of up-to-date “best” scientific evidence from healthcare research as the basis of making decisions. It offers: • Objective way to determine high quality and safety standards • The process of transfering clinical findings into practice • Potential to reduce healthcare costs.

  5. Clinical Guidelines • “systematically developed statements to assist practitioners and patients on decisions about appropriate health care for specific circumstances" [Field and Lohr [1990] ]

  6. Developing Guidelines • Prioritizing Guideline Topic: • Major causes of mortality for a population • Uncertainty about the appropriateness of healthcare • Need to conserve resources in providing care • Cardiovascular Diseases is a major category.

  7. Developing Guidelines • The topic is usually refined since the task of developing a guideline for Cardiovascular diseases is considerable • Care Elements: • Primary (The initial and nonspecialized health care) • Secondary (Specialist care in a hospital setting ) • Tertiary (Services provided by highly specialized providers and tech.) • Aspects of Management: • Screening • Diagnosis • Drug Therapy • Risk Factor Management

  8. Developing Guidelines • Setting • Inpatient • Outpatient • Time Frame • Emergency • Acute • Chronic

  9. Developing Guidelines • Identifying and Assessing the evidence • Best done by systematic review. • The Cochrane Library contains references to over 218000 clinical trials • http://www.cochrane.org/ • Once gathered, the evidence is interpreted and translated into CPG.

  10. Computerized Clinical Guidelines • Most clinical guidelines are text-based • All of them is not accessible online • Physicians have difficulties in deciding which of multiple guidelines best pertains to their patient • A clear need for effective guideline-support tools at the point of care • To be effective, these tools: • need to be grounded in the patient's record • must use standard medical vocabularies • should have clear semantics • must facilitate knowledge sharing

  11. Computerized Clinical Guidelines • Approaches to Electronic Guideline Representation • Formal Representation Specification • Encoding logic into application-specific format • Guideline Modeling Methodologies: • Rule-based: Arden Syntax • Logic-based : PROforma • Workflow: GUIDE, GLIF

  12. Arden Syntax • HL7/ANSI standard • Current approved version is 2.1 • Standard, formal procedural language that represents medical algorithms in clinical information systems as Medical Logic Modules (MLMs). • MLM: an independent unit in a health knowledge base. It contains: • Maintenance Information • Links to other sources • Logic to make a single decision

  13. Arden Syntax maintenance: title: Hepatitis B Surface Antigen in Women;; mlmname: hepatitis_B_mlm;; arden: version 2.1;; ... library: keywords: hepatitis B; citations: 1. Goldman L, Cook EF, et al. A computer protocol to predict myocardial infarction. N Engl J Med 1988;318(13);; ... knowledge: data: penicillin_storage := event {store penicillin order} ;; evoke: penicillin_storage;; evoke: 3 days after time of creatinine_storage;…;; var1 := call my_interface_function with param1, param2; logic: if last_creat is not present then alert_text := "No recent creatinine available. Consider ordering creatinine before giving IV contrast."; conclude true; end if;; end:

  14. Arden Syntax • Advantages: • Not a full-feature programming language; Suitable for Clinicians. • Provides explicit links to data, trigger events. • Defines how an MLM can be called (evoked) from a trigger event. • Brings particular support for time functions. • HL7/ANSI standard • Used by Commercial DSSs.

  15. Arden Syntax • The basic format is not appropriate for developing complete electronic guideline applications • Not as declarative as GLIF • In case of an interaction with a clinical database to provide alerts and reminders, the encoding of clinical knowledge (MLM) may vary due to database schema, clinical vocabulary.

  16. GEM • Guideline Elements Model • XML-based guideline markup model • International ASTM (American Society for Testing and Materials) standard. • The free-text is markup in XML.

  17. PROforma • A formal knowledge representation language • EU 4th Framework Health Telematics PROMPT project • Guideline is modeled as a set of: • Tasks • Data Items • Tasks are divided into: • Actions • Enquiries • Decisions • Plans • PROforma software consists of a graphical editor to support the authoring process, and an engine to execute the guideline specification. • Two major tools: AREZZO, TALLIS

  18. PROforma

  19. AREZZO • Software to create and run clinical guidelines based on PROforma • Commercial • Two main components: Composer, Performer • PROforma provides some rules supported by AREZZO • Performer has Microsoft COM Interface

  20. Asbru • The Asgaard project led by the Vienna University of Technology and Stanford Medical Informatics, 1998 • A task-specific and intention-based plan representation language • Embody clinical guidelines and protocols as time-oriented skeletal plans • Regarding the timing, the plans can be Sequential, Parallel, Any-order, Unordered.

  21. Asbru <plan-library> <library-info title="Skeleton of a Plan Library“/> <library-defs> <domain-defs>…</domain-defs> <variable-def name="List-1" scalar-or-not="list" type="string"> <comment text="List-1 is a list of strings"/> </variable-def> <constant-def name="PI"> <numerical-constant unit="amount" value="3.1415"/> </constant-def> <function-def class-name="asgaard.checkit“ method-name="add_em_up“ name="add“ return-type="length"/> </library-defs> <plans> <plan-group> <plan name="Plan-A">…</plan><plan name="Plan-B">…</plan> </plan-group> </plans> </plan-library>

  22. Asbru • Records can also be defined in domain definitions and used as an interface to plans

  23. DeGel • Digital Electronic Guideline Library • Developed tools to support the development and implementation of guideline applications. • “Expert physicians cannot program in guideline specific language, while engineers do not understand the clinical semantics” • Problem: “How will the large mass of free text guidelines be converted to a formal machine-readable language?”

  24. DeGel • Based on a hybrid (multiple-format) electronic representation of guidelines • A guideline is first converted from free text into semantically semi-structured text • Then from semi-formal language by a medical expert using a markup editor, to a fully formal representation by a knowledge engineer • The current default target language is Asbru

  25. DeGel

  26. DeGel • The framework provides the following tools: • Uruz - Gradual conversion of free-text clinical guidelines into a machine-comprehensible representation in a given target guideline ontology • IndexiGuide - Manual or automated classification of clinical guidelines along multiple semantic axes • Vaidurya - Search and retrieval of clinical guidelines represented in free text, or in a semi-structured format that uses the labels of a given target ontology • VisiGuide - Visualization and browsing of a set of guidelines in a target ontology

  27. Uruz • Guideline markup tool • Similar to GEM Cutter Editor • Source guideline (free-text) is loaded and marked up with semantic labels of the target ontology. • The target ontology can only be Asbru or GEM • The result is an XML document

  28. DeGel URUZ

  29. Uruz • Plan Body Builder: • Specific to Asbru • Used for defining guidelines control structure • Decompose actions into atomic actions and other sub-guidelines

  30. IndexiGuide • Allows medical experts to index the guidelines with semantic axes • Semantic axes can be signs, symptoms, diagnostic findings, disorders, treatments and so on. • Semantic axes are headers of standardized vocabularies such as MeSH, ICD-9, CPT

  31. Vaidurya • Guideline search and retrieval tool • The user can search based on semantic axes • The marked-up guidelines can also be queried for the existence of the terms within internal context

  32. Visiguide • Visualization of multiple and single guidelines • Free text, semi-structured text and formal language (Asbru). • Organizes the guidelines along semantic axes

  33. GUIDE- NewGuide • GUIDE 1998 • Reengineered to NewGuide in 2002 • Laboratory for Medical Informatics, Department of Computer and System Science, University of Pavia, Italy • The Guide environment integrates three main independent modules: • Guideline Management System (GlMS) (providing clinical decision support) • Electronic Patient Record (EPR) • Workflow Management System (WfMS or CfMS) (providing organisational support)

More Related