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IMPACT: Interactive Matching Patients
And randomized Clinical Trials
Xiaoqian Jiang, Shuang Wang
Hyeoneui Kim Lucila Ohno-Machado
Division of Biomedical Informatics
University of California, San Diego
http://dbmi-engine.ucsd.edu/IMPACT/
IMPACT: Highlights
• Actively retain an initial pool of enrolled volunteers
for randomized clinical studies
• Deliver information efficiently to the target
population (i.e., location, condition, interest, etc.)
• Allow non-researcher stakeholders(esp., patients
and funding agencies) play active roles in
formulating research ideas
• Build a healthier and sustainable ecosystem
(patient, researcher, funding agencies) for
improved clinical trial enrollment and study
IMPACT: System Architecture
Client Layer
Patient
mySQL
Database
Server
Application Layer
Administrator
RCT View
Content Display
RCT Mailer
E-Mail Dissemination
RCT WebServices
Request Response
Controller
Apache
Web server
Requests
Dispatcher
Query
Data
Database Layer
RCT Handler Payment Handler
Rewards HandlerQ&A Handler Subscription Handler
Database
Backup/MaintenanceAdministration Handler
Authentication HandlerAccount Handler Extension Handler
Stakeholder
Researcher
IMPACT: Use Case Illustration
Stakeholder
Patient
Administrator
Pending
RCTs
Ongoing
RCTs
Suggest a RCT
Suggest a RCT
Review pending RCTs
Create a RCT
Request
More Features
Get
Rewards
Subscribe
newsletters
Offer rewards
Get rewards by inviting friends or joining a RCT
<<extend>>
Archive
Expired RCTs
Pay for
services
Join a RCT
Disseminate message
Researcher
Current and Future Development
• Implemented a beta version of IMPACT with core
functionalities:
o Authentication, profile management, content display,
registration, news subscription, study participation, etc
• Next Step
o Eligibility checker
o User friendly mobile interface
o Automatic study feeds from University healthcare
systems
o PayPal integration to support financial incentives from
stakeholders
o Intelligent match making between studies and users

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IMPACT slides

  • 1. IMPACT: Interactive Matching Patients And randomized Clinical Trials Xiaoqian Jiang, Shuang Wang Hyeoneui Kim Lucila Ohno-Machado Division of Biomedical Informatics University of California, San Diego http://dbmi-engine.ucsd.edu/IMPACT/
  • 2. IMPACT: Highlights • Actively retain an initial pool of enrolled volunteers for randomized clinical studies • Deliver information efficiently to the target population (i.e., location, condition, interest, etc.) • Allow non-researcher stakeholders(esp., patients and funding agencies) play active roles in formulating research ideas • Build a healthier and sustainable ecosystem (patient, researcher, funding agencies) for improved clinical trial enrollment and study
  • 3. IMPACT: System Architecture Client Layer Patient mySQL Database Server Application Layer Administrator RCT View Content Display RCT Mailer E-Mail Dissemination RCT WebServices Request Response Controller Apache Web server Requests Dispatcher Query Data Database Layer RCT Handler Payment Handler Rewards HandlerQ&A Handler Subscription Handler Database Backup/MaintenanceAdministration Handler Authentication HandlerAccount Handler Extension Handler Stakeholder Researcher
  • 4. IMPACT: Use Case Illustration Stakeholder Patient Administrator Pending RCTs Ongoing RCTs Suggest a RCT Suggest a RCT Review pending RCTs Create a RCT Request More Features Get Rewards Subscribe newsletters Offer rewards Get rewards by inviting friends or joining a RCT <<extend>> Archive Expired RCTs Pay for services Join a RCT Disseminate message Researcher
  • 5. Current and Future Development • Implemented a beta version of IMPACT with core functionalities: o Authentication, profile management, content display, registration, news subscription, study participation, etc • Next Step o Eligibility checker o User friendly mobile interface o Automatic study feeds from University healthcare systems o PayPal integration to support financial incentives from stakeholders o Intelligent match making between studies and users