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Clinerion Patient Network Explorer

Clinerion Patient Network Explorer

Optimized study design, precise site selection and faster patient search and identification for clinical research - in real time.



Success Stories

How Clinerion helps - satisfied customers tell the tale.

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  “Normally it takes hours to screen the archives for one eligible patient. However, with such an online tool we spent much less time finding patients and consequently had more time for other tasks. This had a great positive impact on our study quality!”  
  - a study team member at one of the largest biotech companies in the world.  

Patient search and identification for recruitment at the Hospital São Vicente de Paulo

Clinerion partner Bioserv SMO, has run recruitment for trials at the Hospital São Vicente de Paulo, Brazil. The results show that the use of the EMR-data-driven solution:

  • Allows trial staff to spend more time on patient outreach and screening. (Figure 1)
  • Finds patients not otherwise findable. (Figure 2), leading to a more comprehensive pipeline.
  • Removes rough estimations / enables 100% screening of hospital EHR (very difficult, manually).


Figure 1: EMR patient network can used to more rapidly identify potential patients than traditional outreach methods, allowing more time for extra outreach and patient validation.
 



Figure 2: Total patients found by EMR-data-driven solution was significant in many therapeutic areas where relevant data is digital, and many patients are only identifiable by the digital method in comparison to traditional outreach methods.

User Experience from Istanbul University's Cerrahpaşa Medical School and Cardiology Institute

Extract from the Case Study: "Healthcare User Experience: Clinerion PRS," prepared by Creative Intellect Consulting.

Read the full Case Study here >



Patient Search and identification for Biotech Study

Towards the end of 2014, one of the largest biotech companies in the world started using Clinerion's technology solution for an ongoing dyslipidemia clinical trial.

Three months into the trial the study team had only enrolled about a third of the required number of patients. After activating Clinerion, the PI was able to reach the remaining 64% of her commitment within only a month and a half! This result was achieved by only validating 15% of the patient candidates identified by Clinerion. The recruiting process had an early closure due to this high performance of the clinical trial site.

One of the study team members reported: “Normally it takes hours to screen the archives for one eligible patient. However, with such an online tool we spent much less time finding patients and consequently had more time for other tasks. This had a great positive impact on our study quality!”

Published as: ”Case Study: Patient Search and Identification for Biotech Study”, Clinerion, October 9, 2015.

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