The Importance of Creating an Ontology-Specific Consensus Before a Markup- Based Specification of Clinical Guidelines Erez Shalom 1, Yuval Shahar 1 Eitan.

Slides:

Advertisements

Similar presentations

1 Using Ontologies in Clinical Decision Support Applications Samson W. Tu Stanford Medical Informatics Stanford University.

Advertisements

Sandra G. Adams, MD, MS Pulmonary Diseases / Critical Care Medicine University of Texas Health Science Center at San Antonio South Texas Veterans Healthcare.

The Systems Analysis Toolkit

Using Statistics Effectively in Statistics Education Research Sterling C. Hilton Brigham Young University.

CHAPTER 2 THE RESEARCH PROCESS. 1. Selection of topic  2. Reviewing the literature  3. Development of theoretical and conceptual frameworks  4.

An Evaluation of a Methodology for Specification of Clinical Guidelines at Multiple Representation Levels Student :Erez Shalom Supervisors: Prof. Yuval.

McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.

Evaluation of Tobacco Education at 12 US Medical Schools Catherine A. Powers, EdD Jane Zapka, ScD.

A Graphical Framework for Specification of Clinical Guidelines at Multiple Representation Levels Erez Shalom, B.Sc. and Yuval Shahar, M.D., Ph.D. Medical.

HYGIA Design and Application of new Artificial Intelligence techniques to the acquisition and use of medical knowledge represented as care pathways.

Guideline interaction scenarios  At the point of care Physicians apply marked-up guidelines, thus they Need to find an appropriate guideline in “ real.

URUZ3: A formal- specification tool for acquisition and maintenance of clinical guidelines Department of Information Systems Engineering Faculty of Engineering.

A Multiple-Ontology Template-Based Query Interface for a Clinical Guidelines Search Engine Robert Moskovitch, Talie Lavie, Akiva Leibowitz, Yaron Denekamp.

Introduction to the programme A.Hasman. Medical Informatics The study concerned with the understanding, communication and management of information in.

Module BASICS OF THE QUALITY SYSTEM CONCEPT

The Morningside Initiative: Sharing of Knowledge and Methods for Clinical Decision Support Goals and approaches  Overcome resistance to sharing clinical.

Database System Development Lifecycle © Pearson Education Limited 1995, 2005.

DON MARIANOS, DDS, MPH ORAL HEALTH 2014 INITIATIVE WEBINAR MAY 11, 2012 Prevention & Dental Public Health (DPH) Infrastructure: A State Oral Health Program.

The EHR-S FIM project plans to harmonize the EHR-S FM R2

A Multiple Ontology, Concept-Based, Context-Sensitive Search and Retrieval Robert Moskovitch and Prof. Yuval Shahar Medical Informatics Research Center.

Community Health Needs Assessments for Nonprofit Rural Hospitals: Next Steps Dave Palm College of Public Health Annual Conference of the Nebraska Rural.

SAFE STAFFING AS IT RELATES TO PATIENT SATISFACTION AND SAFETY Are We There Yet? Vicki Tarnow American Sentinel University.

1 An overview of projects Øystein Nytrø is working on.

The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.

HYGIA: Design and Application of New Techniques of Artificial Intelligence for the Acquisition and Use of Represented Medical Knowledge as Care Pathways.

A Multiple-Ontology Customizable Search Interface for Retrieval of Clinical Practice Guidelines Robert Moskovitch and Yuval Shahar Medical Informatics.

Microsoft Operations Framework Morten Lauridsen Engagement Manager Microsoft Consulting Services Morten Lauridsen Engagement Manager.

METADATA WORKSHOP Conclusions Keith Jeffery Peter Wittenburg.

Outcomes Methods RRC-Internal Medicine Educational Innovations Project: Clinical Quality Improvement and Patient Safety- Deliverables to Healthcare from.

Introduction to Healthcare and Public Health in the US The Evolution and Reform of Healthcare in the US Lecture a This material (Comp1_Unit9a) was developed.

Review of Infoway’s COPD* Use Case for Care Plan Business Requirements Sasha Bojicic, Canada Health Infoway Ron Parker, Canada Health Infoway

9. Applying scientific tools & techniques for improving customer satisfaction.

Integrating a Federated Healthcare Data Query Platform With Electronic IRB Information Systems Shan He IPHIE 2010.

Topic (iii): Macro Editing Methods Paula Mason and Maria Garcia (USA) UNECE Work Session on Statistical Data Editing Ljubljana, Slovenia, 9-11 May 2011.

Outlining a Process Model for Editing With Quality Indicators Pauli Ollila (part 1) Outi Ahti-Miettinen (part 2) Statistics Finland.

1 Discussion of “Computer- Assisted Tools for Auditing XBRL- Related Documents” Symposium on Information Integrity & Information Systems Assurance David.

HRSA Health Disparities Collaboratives 2006: Perinatal & Patient Safety Pilot Ada Determan, M.P.H Division of Clinical Quality Bureau of Primary Health.

Evaluation Plan Steven Clauser, PhD Chief, Outcomes Research Branch Applied Research Program Division of Cancer Control and Population Sciences NCCCP Launch.

Assessing Learners The Teaching Center Department of Pediatrics UNC School of Medicine The Teaching Center.

1 Healthcare Information Interchange through Shared Ontologies Ram Sriram Manager, Manufacturing Metrology and Standards for the Healthcare Enterprise.

From the initial page of the Cochrane Library, we have clicked on the Cochrane Reviews: By Topic hyperlink. This has displayed the Topics for Cochrane.

TO IMPROVE  Safety  Quality  Improve patient outcomes  Reduce cost of healthcare.

M ODELING AND M ONITORING V ARIABILITY IN H OSPITAL T REATMENTS – A S CENARIO USING CMMN Nico Herzberg, Kathrin Kirchner, and Mathias Weske September 8,

APPROVED CLINICAL INSTRUCTOR WORKSHOP Evaluation.

 Pharmaceutical Care is a patient-centered, outcomes oriented pharmacy practice that requires the pharmacist to work in concert with the patient and.

Investigate Plan Design Create Evaluate (Test it to objective evaluation at each stage of the design cycle) state – describe - explain the problem some.

Evidence-Based Mental Health PSYC 377. Structure of the Presentation 1. Describe EBP issues 2. Categorize EBP issues 3. Assess the quality of ‘evidence’

HCS 465 OUTLET Experience Tradition /hcs465outlet.com FOR MORE CLASSES VISIT

4th Assessment of Progress Against the GEOSS 2015 Strategic Targets

Title of the Change Project

Itamar Grotto, Michael Huerta, Ehud Grossman and Yehonatan Sharabi

Readiness Consultations

1st International Online BioMedical Conference (IOBMC 2015)

Vipul Kashyap1, Alfredo Morales2 ;

L. V. Luna Diaz1,2, I. Iupe2, B. Zavala2, K. Balestrini1, A. M

Digital and Interactive Multimedia

Evaluation of Tobacco Education at 12 US Medical Schools Catherine A

Presentation to Pacific Statistics Methods Board

“Development and implementation of a module to improve socio-cultural sensitivity among medical graduates” Dr. Sushanta Kumar Mishra, MD Professor & Head,

A Multiple-Ontology Template-Based Query Interface for a Clinical Guidelines Search Engine Robert Moskovitch, Talie Lavie, Akiva Leibowitz, Yaron Denekamp.

ALZHEIMER’S AUSTRALIA AND RESEARCH

Things to Remember… PubMed

Provider and Member Education in Managed Care Pharmacy

Distribution of lower extremity artery disease (LEAD) Fontaine stages over the combined chronic obstructive pulmonary disease (COPD) Global Initiative.

Indented Tree or Graph? A Usability Study of Ontology Visualization Techniques in the Context of Class Mapping Evaluation 本体可视化技术在类型匹配评估中的可用性研究 Qingxia.

CHAPTER 9 (part a) BASIC INFORMATION SYSTEMS CONCEPTS

Temporal Reasoning and Planning in Medicine The Asgaard Project: A Task-Specific Framework for the Application and Critiquing of Time-Oriented Clinical.

COPD Action Plan adherence.

Complex Information Management Using a Framework Supported by ECA Rules in XML Presented By Essam Mansour.

Stacked bar charts for key predictor variables (representativeness of SLS COPD). Stacked bar charts for key predictor variables (representativeness of.

Presentation transcript:

The Importance of Creating an Ontology-Specific Consensus Before a Markup- Based Specification of Clinical Guidelines Erez Shalom 1, Yuval Shahar 1 Eitan Lunenfeld 2, Meirav Taieb-Maimon 1, Ohad Young 1, Guy Bar 2, Susana B.Martins 3, Laszlo Vaszar 3, Yair Liel 2, Avi Yarkoni 2, Mary K.Goldstein 3, Akiva Leibowitz 2, and Tal Marom 4 1 The Medical Informatics Research Center, Ben Gurion University, Beer Sheva, Israel 2 Soroka Medical Center, Ben Gurion University, Beer Sheva, Israel 3 Veterans Administration Palo Alto Heath Care System, Palo Alto,CA 4 E.Wolfson Medical Center, Holon, Israel

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006

The Required Infrastructure to support automation of GLs

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 What are the essential steps for the overall guideline specification process?

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 A Methodology for GL Specification & for its Evaluation The methodology is embedded within the Digital Guideline Library (DeGeL) architecture Creating an Ontology-Specific Consensus (OSC) is a crucial, mandatory step before markup 1.

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 The Importance of an Ontology- Specific Consensus (OSC) An OSC is a document that describes the core objectives and means of the GL Refers to the knowledge roles of the chosen (target) specification ontology Enhances accuracy of the mark-up Decreases variability during mark-up and during application of the GL

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 The Consensus-Creation Methodology Clinical consensus – the pathway of the GL KE +EP add procedural knowledge semantics to the pathway (e.g parallel order between the regimens) Ontology-Specific Consensus KE+EP add declarative knowledge to the pathway (e.g filter condition to the main root of the GL)

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 The second stage in forming an Ontological consensus

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 The third stage in forming an Ontological consensus

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Results (I): Procedural Complexity of the GLs

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Results (II): Quality of markups EPs can perform markup! High completeness: 91% of the plans and 97% of the KRs were recreated, compared to Gold Standard markup Variable correctness, but proportion of perfect scores significantly high (P<0.05) Several clusters of KRs can be formed by level of difficulty to structure Creating an OSC is crucial for achieving high quality

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Results (III): Types of errors The differences in the total numbers of errors between the three GLs were highly significant in a proportion test (P<0.001)

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Conclusions o Markup is feasible by EPs! o The more detailed and structured the OSC was, the lower the total number of errors committed by the EPs for each KR o The need for a graphical OSC-forming graphical tool

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Summary The need for gradual GL specification Creating an ontology-specific consensus as a first step Using a well defined methodology for the overall process to increase the quality of the markups  For more information:

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Questions?

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 The second stage in forming an Ontological consensus

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Creation of OSC – example: Textual Source in the PID Guideline

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 The first stage in forming an Ontology-Specific consensus

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Results (III): Procedural Complexity of the GLs The Subjective Qualitative Ranking

AI techniques in healthcare: evidence-based guidelines and protocols ; ECAI Workshop 29/8/2006 Results (I): The Guidelines  Pelvic Inflammatory Disease (PID)  Chronic Obstructive Pulmonary Disease (COPD)  Hypothyroidism (HypoThyrd)