clinical-trials-2019-keynote

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September 23-24, 2019 | Prague, Czech Republic
2nd International Conference on
Palliative Care
Clinical Trials and Pharmacovigilance
Joint Event
&
Background: Patient recruitment for clinical trials is a well-
known problem that has been extensively documented.
Challenges in patient recruitment are the most prominent
reason for clinical trial delays. Such delays have a knock-
on effect on the entire drug development process, costing
pharma companies lost sales revenues. Beyond financial
considerations, delays also result in avoidable suffering of
patients. These challenges can be overcome by introducing
a technology-assisted process for finding patients who could
benefit from inclusion in a clinical trial.
Objective: We propose a technology-assisted process
for finding de-identified patients who could benefit from
inclusion ina clinical trial; this process accelerates recruitment,
the most prominent reason for trial delays, which result in
avoidable suffering of patients and cost pharma companies’
sales revenues.
Method: We implemented a system compatible with hospital
information systems which performs real-time, Big Data
analytics on de-identified electronic medical records from
connected hospitals. The system can perform data-assisted
protocol optimization to speed up the protocol development
process, site feasibility evaluation to improve site strategy
(fewer sites with more patients) and searches the EHR for
potentially eligible patients for clinical trials and allows
authorized research staff to reidentify them for recruitment.
Results: Thesystem isoperational inmorethan100healthcare
institutions in 16 countries. We present three example cases
which demonstrate the system’s primary benefits during the
critical patient recruitment phase:
1. Rescue study: recruitment for an ongoing dyslipidemia trial
was behind schedule and stalled at one-third of the required
numbers; with the system, recruitment was completed within
6 weeks after screening of 15% of the system’s proposed
candidates.
2. Faster recruitment: recruitment for an atherosclerosis trial
was completed 6 months ahead of schedule
3. Efficient recruitment: in several trials the pool of identified
and potentially eligible patients consistently exceeded the
investigators’ expectations by 10-30 times.
Conclusion: The electronic “patient network explorer” system
addresses the critical bottleneck of slow patient recruitment.
The system enables search and identification of suitable
clinical trial candidates using the electronic records of multiple
hospitals – in real time. The systemhas been shown to find 10-
30xmorepatientsthantraditionalmethods.Asthesystemuses
de-identified patient data, patient privacy is also preserved.
Speaker Biography
Barış Erdoğan is the country manager of Clinerion, Turkey. He studied
computer engineering at the Middle East Technical University and holds
and Ph.D. in educational technology. His expertise and experience
include management of innovative medical informatics projects and
implementation of end-to-end healthcare IT enterprise information
systems, both in the public and private sectors.
e:
Barış Erdoğan
Clinerion, Turkey
Matching clinical trials with patients: Global patient search and identification
using de-identified EHRs
Journal of Clinical Research and Pharmacy | Volume 2
J Clin Res Pharm, Volume:2