Draft 31 25 Years of PROMISES: Lessons Learned from Modeling Professional Practices Extending...
-
date post
18-Dec-2015 -
Category
Documents
-
view
228 -
download
1
Transcript of Draft 31 25 Years of PROMISES: Lessons Learned from Modeling Professional Practices Extending...
Draft 3 1
25 Years of PROMISES: Lessons Learned from Modeling
Professional Practices
Extending Medical Enterprise Ontologies: Levels; Limits; and
Tensions
Draft 3 2
7th International Protégé ConferenceJuly 6, 2004
• Bob Smith, Ph.D. Tall Tree Labs– [email protected]
• Bill Elliott, Internal Medical Labs– [email protected]
• Christian Fillies, SemTalk – [email protected] www.sentalk.com
• Gay Woods-Albrecht– www.bpmsolutionsgroup.com
Draft 3 8
Comprehensive Computer Supported Medical Decision
Support Systems?• Comprehensive: Intelligent, Robust, Adaptive?
• Computer Supported: Knowledge, Model Driven, and Data (Factual) Informed?
• Medical: Ecology: Public and Private Health Care and “caring systems”
• Decision Support: NOT Professional Automation but Professional Reasoning Enhancements
• Systems: Social components, technical components, cultural components with explicit guidance “rules for rule making in informed communities”
Draft 3 16
Swim lanes Level 7 to Level 1(?)1. De Facto Standards (Current Practice Tensions between
competing evolving-emergent standards: Knowledge Management, Process Management, Standards Management; Business Strategist’s Strategy (HBR))
2. Standard Abstractions (MS, IBM, SUN: WS-I)
3. Regulatory Guidance Clusters (NIST, NIH, W3C, etc.)
4. CEO-Supply Chain Integration (Health Care Infrastructure and Payment Systems)
5. Medical Practitioners (Internal Medicine Associates, Inc.)
6. Technical Staff (IT-Lab Techs)
7. Patients with medical problem(s) and paper Med Records (Brave Dave with High PSA Radical Surgery)
Draft 3 17
This Protégé Conference demonstrates top down strategies
• Vast changes in the supply of technical capability with ontologies, semantic web services standards, tools, vendors: with obvious economic and social ripple effects;
• Vast changes in the demographics of demand for effective and efficient integrated and orchestrated medical practice
Draft 3 18
Bottom Up Strategy
• Size distribution of medical practice and associated IT and Process maturity– How and where do most patients receive
medical care? • Garfield model: Distributed health delivery areas
– Scenario: You are the technology “gatekeeper” for an 8 physician practice with a Stat Lab (Statistics go here…)
Draft 3 19
Dialectics from HBR?
• Harvard Business Review June 2004 article by Michael Porter challenging current assumptions of US Health Care Competitive Strategies
• Can the Porter-Teisberg policy changes be modeled? With Ontology and Process Management-Knowledge Management simulators?
Draft 3 21
Coherent Architectural Plans?
• What kind of a roadmap would you sketch for yourself, today, in thinking about the real needs of these physicians in your organization?
• How might you arrange to brainstorm the options using available process modeling and simulation tools to position Protégé and SAGE Projects in context?
Draft 3 22
Application Development Options (Architect Needed)
• Protégé?• SemTalk2 ?• MS_DotNET?• Hybrid?• See link:
..\Sacramento_Wk\101MSDCF\LabPicsJune04a.htm
Draft 3 41
Alan Rector: Where are we going?
• Citation: Rector, AL (2001) AIM: A personal view of where I have been and where we might be going. Artificial Intelligence in Medicine 23:111-127
• “My own career in Medical Informatics and AI in Medicine has oscillated between – concerns with medical records and – concerns with knowledge representation with decision support
as a pivotal integrating issue. • It has focused on using AI to organize information and
reduce ‘muddle’ and• improve the user interfaces to produce ‘useful and
usable systems’ to help doctors with a ‘humanly impossible task’. “