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Clinical trials rely on numerous sources of information that must be controlled


Although largely dematerialised, clinical trial data collection systems do not yet connect to EHRs. Thus, clinical and biological data from EHRs are manually retranscribed into electronic observation notebooks (eCRF). The re-entry of this data, which represents, according to the trial protocol and the source EHR content, 13 to 75 % of clinical trial data, mobilises many resources today and is a source of avoidable errors.

Another important challenge for clinical trials is to recruit a representative and relevant patient panel for the study; in this regard, the large language models we use also prove to be very effective in scoring a large number of patients based on medical databases (see publication)

 

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 1. Integration into your patient control or recruitment plan

Our solution supports and strengthens the control plan defined by clinical research associates by controlling the consistency between external data sources and entries in the EDC or CDMS. We define together a scope of application as well as a list of entities to be controlled and consistency checks based on medical language analysis.

2. With the ability to analyse 100% of CRF and medical CR of the DMP

The language analysis technologies we develop enable us to analyse in bulk thousands of reports and identify inconsistencies between different bases/sources. The precision achieved varies depending on the entities to be extracted, it is generally in the order of 85% to 95%, which makes it possible to reduce the cost of controls

See illustration of operation

 3. Investigations can be supported by our PraxyConsultation tool

In the event of patient calls to conduct investigations, our PraxyConsultation solution for interview summary and structured data extraction can also be mobilised to gain time and precision See PraxyConsultation . This data is of course reviewed and validated by the investigator


HDS SaaS or on-premise solution


Payment based on results and usage 

depending on the number of errors detected and the precision of error detection


Precision gain

for clinical research associates : PraxyData permits to check 100% of the observation notebooks set CR medical


Scalability and speed

The solution is quickly deployed to control thousands of files