Stop wasting time on manual chart review and find the right patients, right now.
BEKplatform uses powerful AI to read structured EMR data like labs, diagnoses, and demographics along with unstructured data including physician notes and pathology reports. In a galaxy full of patients, it pinpoints the ones who truly fit your protocol—eliminating hours of manual review so your team can identify 10× more qualified patients and achieve 2× faster enrollment within one unified platform.
WHAT WE DO
Precise patient matching to accelerate your clinical research
Stop wasting time going down dead ends. BEKhealth harnesses BEKplatform, its AI-powered patient-matching platform, to help organizations conducting clinical trials and observational studies better understand their patient populations, optimize feasibility, and accelerate site selection. By extracting structured and unstructured data from electronic medical records (EMRs), BEKplatform identifies clinically qualified participants 3x more accurately.
Take a look inside BEKplatform, the AI-powered chart abstraction and patient-matching technology for sites and healthcare organizations.
Query and Cohort Builder
BEKplatform deciphers patient-level structured and unstructured medical data to detect protocol-eligible candidates for trials and build research-grade cohorts for real-world studies. The platform turns disorganized clinical data into a synthesized, longitudinal patient graph that is easily queryable, whether you're matching to I/E criteria or characterizing a patient population for evidence generation.
Feasibility Reports and Insights
BEKplatform powers confident decision making through easily digestible reports, giving researchers and sponsors real-time access to patient data to determine trial feasibility, analyze population characteristics, identify untapped trial opportunities, and support observational study design.
Turn unstructured data into research-ready insights
BEKplatform accesses the saved files, reports, and even hand-written notes associated with patient charts, then divides each note and record into sentences and transforms the underlying text.
The platform analyzes and transforms that text using a deep learning neural net based on BERT, identifying medical entities and associated attributes across key domains like demographics, diagnosis, and medications.
The text is then mapped to a searchable ontology of more than 24 million search terms, synonyms, and lexemes. Combined with structured medical data, BEKplatform generates a synthesized, longitudinal patient graph: the same foundation that powers faster trial enrollment and research-grade real-world evidence.
To support 95%+ accuracy in interpreting EHR records, BEKhealth employs a human-in-the-loop feedback mechanism that continuously refines model outputs, ensuring reliability and clinical relevance.
Our numbers speak for themselves
10x
more patients identified
3x
more qualified patients enrolled
Patients found in
DAYS
rather than months
2x
faster enrollment timelines
Finding the
unfindable patients
“We were able to pre-screen 10+ new lung cancer patients in the last three weeks and offer the study to three patients. As you may be aware, this is a very selective and cutting-edge clinical trial, and prior to the BEKhealth project, we were unable to find patients who might qualify.”
Director
Oncology Clinical Research
Memorial Cancer Institute
Patient identification is the most vital part of any study
EMR data isn’t meant for you, it’s meant for insurance. So, we built a product that translates that data to make sense of it for clinical research. By sifting through structured data and translating handwritten notes and charts, the BEKplatform can find clinically-qualified patients for even the most rigorous inclusion/exclusion criteria. Find your perfect patients faster, more accurately, and more successfully than ever.
Imagine if AI powered every step of your recruitment workflow...
Optimize
feasibility
Identify
eligible candidates
Accelerate
enrollment
Exceed
your goals
Smarter Recruitment. Faster Enrollment. Stronger Trials.
BEKhealth is teaming up with best-in-class partners in AI-powered enrollment. By combining BEKplatform's AI-driven patient identification with Delfa's automated engagement and scheduling, we're delivering seamless, end-to-end solutions that accelerate enrollment, reduce site burden, and improve trial outcomes.
It's a smarter, faster way to connect the right patients with the right studies, at exactly the right time.
60 Minutes After Implementation
our first joint client had...
200
clinically-eligible patients identified
8
patients pre-screened and scheduled for appointments
Ready to accelerate recruitment with AI?
Whether you're an existing BEKplatform customer or are new to BEKhealth, let’s talk about how we work with our AI enrollment partners to streamline your workflow—from finding the right patients to enrolling them faster.