Integrated Research Candidate Evaluation System
ReCES is an application suite designed to perform real-time encounter based evaluations of research study qualification parameters to aid in the identification of potential subjects. For organizations involved in clinical trial research, as the list of research studies grow, the evaluation of the increasing number of study parameters to determine viable candidates becomes increasingly difficult, if not impossible. ReCES can leverage the data accumulated in your EMR to help aleviate this burden. Most studies require the evaluation of many different aspects of the encounter for inclusion or exclusion for each study: medications, diagnoses, vitals, demographics, lab results, etc. The ReCES system decreases the burden by performing the study parameter evaluations during the course of the encounter and alerting the provider of possible candidates so they are able to assess the interest of the patient to participate in research studies while the patient is in the clinic. The real-time nature of the ReCES system also allows for the evaluation of acute condition studies which would be almost impossible otherwise and helps to avoid exclusionary actions that may disqualify the patient.
Evaluation Parameters:
- Diagnosis codes - inclusion/exclusion criteria, wildcard characters (i.e. 250*) for range checks.
- Medications - inclusion/exclusion lists, easily search and select from the entire EMR medication list.
- Allergies - inclusion/exclusion lists, easily search and select from the entire EMR allergy list.
- EMR template field criteria – Text, date, numeric and decimal values. Range checks for number and date fields and exact and partial matches for text fields. The ability to designate a minimum number of data points for evaluation as well as a maximum timeframe for the values (i.e. 3 BPs within the last 90 days).
- Parameter groups that can be defined as inclusion/exclusion and configured to evaluate multiple fields as a single parameter (i.e. include with any 1 of 3 parameters; LDL>60, HDL<40 or Total Cholesterol >220).
- Limit the study to any particular combination of enterprise, practice or location.
- No limit on the number of parameters a study can have.
New in v2.9.7
- NextGen Lab Module integration for lab order verification and result evaluations. Lab/procedure parameters can be defined to access template fields as well as unidirectional and bi-directional lab module implementations.
Candidate Management:
- Exclusion lists so patients opting out of particular studies or research participation completely will not be scanned.
- Study priority management so patients qualifying for multiple studies are not contacted multiple times by different coordinators working with different studies.
- Patient status tracking so coordinators can keep track of where each patient is in the qualification process.
- Preliminary database scans which include demographic, diagnosis and medication parameters either ad hoc or from a defined study to find initial patients that may qualify before encounter scanning is implemented or as a tool to determine potential study participation success based on your patient population.
- Use of the EMR inclusion lists to segregate enrolled patients so study monitors can evaluate enrolled patient charts without elaborate security settings for the EMR.
- Evaluation of study parameter values for each qualifying patient allowing the coordinator to concentrate on the most likely candidates for enrollment when initial qualifying values are relatively broad.
New in v2.9.7
- Automatic patient study enrollment checking and notification while documenting the patient in the EMR. Notification includes a pop-up alert to the provider and optional EMR workflow task and SMS text message to the research coordinator associated with the study.
- Automatic enrollment violation checks and notification for exclusion medications prescribed during an encounter. Notification includes a pop-up alert to the provider and optional EMR workflow task and SMS text message to the research coordinator associated with the study.
If you need additional information or would like to schedule an online demonstration, please contact us via the contact information on the Contacting Simbiote page and we will be in contact with you as soon as possible.
