Exhibition / Sponsoring
If you are interested in participating as an Exhibitor or Sponsor please contact:
Landsberger Str. 155, 80687 Munich, Germany
Phone: +49 (0) 89 548234-37
Fax: +49 (0) 89 548234-44
All Industry Sessions will take place on
Tuesday, 30 Aug 2016, 09:00 - 11:00
AudienceEHR implementers, Health professionals, Clinical Researchers, Clinical Trials Officers
ObjectiveTo present and demonstrate effective and efficient ways to connect Clinicians and Patients to Clinical Research using Cerner’s EHR system
OutlineHistorically, research and health care information technology systems have been disconnected, supporting separate, and sometimes redundant, processes and workflows. Unfortunately, the use of disparate systems can result in patient safety concerns, inefficient processes, data quality issues and challenges in research billing.
The PowerTrials solution integrates research processes into the workflow of Cerner’s electronic health record (EHR), ensuring that clinical research and clinical care share relevant data. You can use PowerTrials to organise the flow of clinical trial data by efficiently identifying candidates, consistently managing documentation and integrating data capture. This integrated approach enhances patient safety, supports study recruitment, and streamlines research processes ensuring protocol compliance, efficiency and data quality. PowerTrials also tests study feasibility. Information gathered can guide protocol revisions and enable the discovery and prioritisation of research opportunities.
Please find below further detail about the key benefits:
Enhance patient safetyPowerTrials is embedded in the EHR, thus all clinicians have awareness of their patients’ research participation via an “on study” flag.
Support study recruitmentPowerTrials systematically compares EHR records and study criteria to alert researchers and clinicians when a patient is a good candidate for a study.
Protocol-specific screening modules support two distinct workflows for identification of potential research candidates. Specifically, these modules screen:
Studies against a specified patient population (researcher workflow)
A patient against available studies (clinician workflow)
Streamline research processesPowerTrials integrates with core EHR features so you can ensure accurate and efficient research visits and streamline charges.
Mr. Fadi El-Turk
Slow patient recruitment is the number one reason for clinical trial delays. Reliably identifying suitable patients is key to timely recruitment, as is catching them quickly as they arrive at hospitals. These problems could be solved by using real-time patient data from hospital EHR records. However, such data are spread across multiple hospitals and different EHR systems, and data protection concerns further complicate central aggregation of data from multiple sources. Clinerion’s Patient Recruitment System is an innovative solution that overcomes these issues and establishes a multi-hospital EHR data driven patient recruitment network.
Mr. Tigran Arzumanov
Agfa’s Semantic Data Virtualization (SDV) platform will be presented. It is a platform, fully built on the Semantic Web technology stack and providing just-in-time data access to multi-sourced semantically harmonized data to different types of applications.
This is achieved by transforming the data in different steps using rules and a very powerful first-order-logic reasoning engine. Data is first converted to an internal model and stored as semantic graphs. Then, the data is re-exposed via Rest services in a format suitable for the application that requested the data. During these transformations, derived data can be calculated and exposed to the applications. Typical views on the data can be patient-centric for primary usage (EHR) or population centric for secondary usage (analytics, clinical trials, research).
Mr. Dr Dirk Colaert
Introduction: The local system infrastructure of a modern (university) hospital is assembled out of several different systems that send and receive patient data and workflow data utilizing a communication server. While the communication and process workflow between routine care systems and users is highly standardized and sophisticated, systems focussing on research often have to take a back seat. This leads to flaws such as (1) routine care and research personnel working next to each other without knowledge of each other, (2) patient data being gathered, processed and stored redundantly, and (3) potential benefits for and from routine care and research not being recognized and leveraged.
Methods: The demands of the specific professional groups of the routine care and research as well as the target system’s behaviour were determined by textual descriptions and workflow diagrams. A review of the specific cases by the project partners verified that the concept defines a benefit of the routine care and research platform. The project partners implemented new features and adapted customizable features.
Results: The basic structure of the proposed solutions is that the involved systems are located in their own domain and manage their data independently, but transfer patient and process-relevant data as many and promptly as possible. End users of the routine care can receive information and tasks from the research system (e.g. proposals for recruitment) and vice versa. The routine care always has priority over research. The routine care system MCC has been extended with concepts such as “study”, “informed consent” and “proposal for recruitment”.
Patient data exports were developed by means of well-established communication standards. MCC provides data at latest five minutes after its entry. The research system is then able to process these well-structured exports by utilizing a rule-based workflow-engine and thus achieve automatic pseudonymization and detection of recruitment eligibility and the need of additional forms. Routine care personnel as well as research personnel is able to check proposals for recruitment via work lists, can contact the patient and record his/her informed consent or refusal in the electronic trust centre’s user interface. In that kind of scenario, the routine care data and the research data of a person is divided into different administrative cases. All services and measures are assigned to the respective administrative case, but are still linked to the entity “patient” and consequently within the scope of the billing system. A continuation of the study is possible although the patient has been discharged from hospital (in the context of his acute treatment). Furthermore, separating documentation between a patient’s administrative cases ensures data protection.
Discussion and outlook: Besides the patient recruitment, there are further functions designed and implemented, based on the derived cases. The connection between MCC and CentraXX at the UMG enables a new cooperation between routine care and research against the background of successfully performed integration tests. The project partners are planning to analyze the benefits of the implemented solution after the system’s go-live in Q1/2017, e.g. by conducting a pre-post-comparison.
Mr. Benjamin Trinczek PhD