Enabling clinical research in West Midlands: ePCRN, TRANSFoRm and CuRE projects Theodoros N. Arvanitis, RT, DPhil, CEng, MIET, MIEEE, AMIA, FSIM, FRSM Professor of e-Health Innovation Institute of Digital Healthcare, WMG, University of Warwick Birmingham Children’s Hospital NHS Foundation Trust AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 1 translating research into clinical practice • Development of Clinical Trial Management Systems that provide, through an integrated infrastructure, a wide-ranging set of modular, interoperable and standards based tools designed to meet the needs of clinical trials • Objectives of e-trials system implementation – To define a “computable” model representation that supports the entire life-cycle of clinical trials protocol, – To develop appropriate tools that use the model representation. AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 2 Clinical trials life-cycle Adapted from Source: Douglas Fridsma, MD, PhD The University of Pittsburgh Cancer Institute Centre for Pathology and Oncology Informatics Clinical Trials Research Core AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 3 Learning Healthcare System Safer Clinical Practice Knowledge Translation Software • Integration • Interoperability • Services Epidemiological Studies & RCTs More research evidence B. C. Delaney, K. A. Peterson, S. Speedie, A. Taweel, T. N. Arvanitis and F. D. R. Hobbs, Envisioning a Learning Health Care System: The Electronic Primary Care Research Network, A Case Study, Annals of Family Medicine, 10(1):54-59, 2012. AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 4 electronic Primary Care Research Network • • • The electronic Primary Care Research Network (ePCRN) was an NIH Roadmap funded project designed to explore the feasibility of conducting clinical trials in the community– specifically in primary care settings. The ePCRN electronically links a variety of primary care practices and facilitates secure communication with those practices thereby protecting the privacy and confidentiality of the patient. There are three primary components to the ePCRN: 1. a trialist workbench for designing clinical trials 2. a clinical trials’ management component for conducting and managing clinical research studies. 3. Tools for translating research into practice AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 5 ePCRN: US/UK perspective AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 6 ePCRN Study and eCRF tools Protocol Timeline CRFs Design Study Study Database Collect Data Analyse Data The following provide some example screenshots of the eCRF technology on a current ePCRN prototype AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 7 Protocol Design AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 8 Timeline Design AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 9 eCRF Design AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 10 Acknowledgments for ePCRN Re-Engineering the Clinical Research Enterprise ePCRN Contract No. HHSN268200425212C AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 11 knowledge in healthcare Specific research knowledge • • • • EHR systems Wide coverage Vast quantity May lack in detail and quality • • • Clinical trials Controlled populations Well-defined questions • Routinely collected knowledge AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Actionable knowledge • • Distilled scientific findings Usable in clinical practice Decision support Slide 12 Informatics tower of Babel: the grand challenge • Overwhelming volume of data • Multitude of sources • Each part of the health community speaks its own scientific “dialect” (e.g. lab values, genetic profile, clinical data) • Lack of consensus on common standards and terms • Lack of coordination across, and collaboration within, the cancer research enterprise • Integration is critical to achieve promise of molecular medicine (personalised medicine) Slide courtesy of caBIG™ AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 13 TRANSFoRm Itegrated VS • The TRANSFoRm Integrated Vocabulary Service is designed to allow end users to search and retrieve clinical vocabulary concepts and associated content – a web interface and a web service API – the service uses the LexEVS (version 5.1 and version 6.0) technology to access a backend UMLS vocabulary database – the service uses direct Java Database Connectivity (JDBC) to access other vocabulary databases (e.g. Read Codes V2, ICPC2) AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 14 A screenshot of the vocabulary service web-based interface AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 15 Example eligibility criterion • HbA1c test result of ≥ 6.5% on or before the 16/04/2013. – – – – laboratory_Test_Type_ID=[LOINC;4548-4] laboratory_measurement_datum ≥ 6.5 laboratory_measurement_unit_label = [UO;0000187] lab_result_confirmation_instant ≤ 2013/04/16 AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 16 TRANSFoRm Query Workbench Identifying Identifying prevalent prevalent cases cases through through eligible eligible counts counts AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 17 acknowledgments: TRANSFoRm Consortium AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 18 CURe CURe (Comprehensive Unified Research) is a framework for the development of software systems for research. It has been developed to create extensible research systems for various medical conditions. Common data elements to all medical areas, as well as specialist requirements can be handled by the framework. Example user interface for selecting medication medications use the dictionary of medicines and devices (dm+d). AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 19 Acknowledgments for CURe AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 20 realising our imagination: facing challenges "Leave the beaten track occasionally and dive into the woods. Every time you do so, you will be certain to find something that you have never seen before. Follow it up, explore all around it, and before you know it, you will have something worth thinking about to occupy your mind. All really big discoveries are the result of thought." Alexander Graham Bell: "electrical speech machine" of 1876 AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 21 Thank you t.arvanitis@warwick.ac.uk AHSN Digital Health Event, iHouse, Coventry Professor T.N. Arvanitis - 13/12/2013 Slide 22