Vojtech huser-2009-amia-clinical-research-informatics-panel-eligibility-v011
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Vojtech huser-2009-amia-clinical-research-informatics-panel-eligibility-v011
- 1. Development, Selection, and Adoption of Clinical Research Eligibility Representation Standards and Screening Methods: Current and Future Directions fall AMIA 2009 panel (CRI WG sponsored) Joyce C. Niland, PhD, MS1, Gilan El Saadawi, MD, PhD2, Chunhua Weng, PhD3, Vojtech Huser, MD, PhD 4, Jason P. Jones, PhD5,6 , Rachel Richesson, PhD7 1City of Hope National Medical Center, Duarte CA; 2University of Pittsburgh. Pittsburgh, PA; 3Columbia University, New York, NY; 4Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI; 5Intermountain Healthcare, Salt Lake City, UT; 6University of Utah, Salt Lake City, UT, 6University of South Florida, Tampa, FL
- 9. Example 2: Marshfield Clinic Editor Execution Engine
- 10. Patient self-referral example http://clinicaltrials.coh.org
- 12. CTMSs
- 14. Electronic research form within PHR
- 15. Form setup example (Velos): Are you willing to undergo additional tests? Data element creation: Form creation: (XSLT+JavaScript; FieldID)
Hinweis der Redaktion
- premise: we all did research last year, or even 5 years ago – how has it changed, Informatics can create standards, best practices, computerize How can we make the trial be cheaper and go more smoothely Scenario: for example: BigPharmaA is sponsoring the trial (new chemoterapy agent) or MidWest Lymphoma Consortium B (testing a new treatment protocol) CCHIT+Meaningful use (voices which want research capabilities of EHR be included in meaningful use matrix)
- Scenario Doing research oroginating from within – NIH funded, local industry In next slides – I wil go through those 3 key issues – query, screening/enrolling and I will not be quoting exact numbers and percentages
- Mediated: 5/5 100% speed of it is important, at some institutions – the response can be even same day (4 hours) or it can take a week Non-mediated currently used: 4/5 80% home grown: 4 out of 4 (100%) (self service, use by researchers, review preliminary to research, not requiring IRB approval) Majority have something in place (or even several in place – legacy and new system (COH for example -)) Often is web based, but can also be a fat client (e.g., C or Java application) Example: At Intermountain, Clinical Programs Framework (e.g., Oncology, Primary Care,
- Ability to export is limited Code for female may be different: may be solved in the SHRINE consortium or Meaningful use: HIT Standards Committee: gender HL7 v.2.5.1 Table 0001
- Variation: Range from (A) manually Done through clinical research coordinators (or clinicians) to (Z) computerized system with computerized enrollment logic and support for human element Link to local system is necessary, centralized solution is not possible (e.g., BigPharmaA can not have notification of new cancer patients from all consortium participants) (privacy issues) Data source: DW data is often not real time -1 day delay Vigilance system is capable of encoding a computerized eligibility criteria. It is connected to data feeds from EHR system. It is similar to a decision support platform used at Columbia University. (which uses Arden Syntax representation format and is an internally build Arden Syntax execution engine) A designated team (programmer) can translate a narrative logic into an MLM Q:(WOULD SCREENSHOT FROM COLUMBIA BE POSSIBLE?) Example2 Example 3 – next slide – involving the patient
- 2 components of the system Public internet: use by patients Secured website: use by Clinical Research Staff
- 100% of institutions use paper based forms but most have some capacity to make them electronic in in few sutdi Same problem: can have legacy and new system Market share of different CTMS (Velos, enCore, MediData) Agreement on Standardized Protocol Inclusion Requirements for Eligibility