Personal Electronic Health Record (PEHR)
centralizes Medical Records in the patient's unique personal EHR
SMART PEHR platform is taking clinical trials and observational studies
to the next generation - Real World Trials.
SMART PEHR Clinical Data Warehouse (CDW) is a real time database that harmonizes and consolidates data from a variety of clinical sources to present a unified view of a single patient.
SMART PEHR makes a difference through analytics and Machine Learning (ML) and Artificial Intelligence (AI)-driven applications, based on diverse data from across the care continuum.
SMART PEHR provides an opportunity to change how research studies are conducted, enabling a single point of connection to any number of data sources.
Predictive Care Analytics providers (AI and ML) are connected with SMART PEHR Platform, using big data to spot warning signs and anomalies in patterns so that preventive actions can be taken.
SMART PEHR aggregates Real World Data, patient data from different electronic medical record (EMR) systems, eCOA, hospital records, connected diagnosis labs, DNA sequencing, imaging institutions, devices, wearables, ePRO, telehealth and home healthcare visits.
Life sciences and pharmaceutical companies can gain great value by using Real-World Data : SMART PEHR connects the world’s health data to improve patient outcomes, linking study data with RWD.
SMART Personal EHR
patient-centric platform provides interoperability and bridges AI, ML and NLP analytics in Real-Time, accelerating the discovery of Real-World Data in either centralized or decentralized clinical trials.
CT + SMART PEHR = RWE DCT
DCT +(AI + ML + NLP)= Safer CT
DCT +(AI + ML + NLP)= Shorter CT
DCT +(AI + ML + NLP)= Cost-effective CT
OUR CLIENTS
CLINICAL TRIALS TYPES
Features
- Digital process with AI and ML for participant selection.
- eConsent and digital enrollment.
- Cloud Healthcare Infrastructure with security and compliance best practices.
- Interoperability: collecting and storing data from diverse sources (integrations), generating personal and unified health records.
- Real-world & self-reported data capture, with the ability to “bring your own device” (BYOD).
- Participant digital data capture system (ePRO - Electronic Patient-Reported Outcomes, eCOA- Electronic Clinical Outcome Assessment)
- Real-time access to participant data capture
- Evidence generation platform
- Artificial Intelligence and Machine Learning capabilities for patient EHR followup, processing, and external AI & ML analysis integration.
- De-identified healthcare data
- Data discrepancy management
- Hundreds of third-party wearable, App and sensor integrations
- Virtual visits and telemedicine integrations
- Execution of fully decentralized trials