Retrieving information from EHR's is difficult, because healthcare data is complex. Clinicians enter their data in multiple places and in different formats. Valuable information is archived as text (e.g. reports or notes), which means a large percentage of valuable information is unavailable for analysis.
We have developed a solution that organizes EHR data into logical categories and that uses text analytics to make the information in text accessible.
With CTcue you don't have to be a data analyst to identify patient populations in the database. Our easy-to-use interface allows you to conduct queries ranging from simple to highly complex.
Once a population has been identified and validated, CTcue can be used to collect data for the evaluation of patient outcomes. Define a set of parameters and get your results with a single click of the button.
The current method of manually going through medical records in order to identify populations or to collect information is inefficient and expensive. Using CTcue saves you time, because:
Our application has been developed using a “privacy by design” approach, which means that privacy is our default setting. Before patient data enters our database on the hospital server it is stripped of all content that can be linked back to the patient.
Specialized privacy attorneys from EY have validated our process, paying special attention to the 2016 legislation Bill on Data Breach Notifications (“Meldplicht datalekken”).
The proof of the pudding is in the eating. The following hospitals are the bravehearts who dared to start with us.
