cliexaTrac

Personalized Patient Engagement Platform

Enhances patient engagement through a white-labeled mobile application that can be integrated into existing mobile or web apps.

Connects to multiple clinical data sources, including patient history databases, prescription drug monitoring databases, claims databases, and medical devices.

Works seamlessly with cliexaConnect and cliexaProtocols to provide a real-time, integrated solution within existing EMR systems and customer networks.

cliexaConnect

Real-time Advanced Interoperability Platform

Facilitates efficient bi-directional data exchange between electronic medical records (EMRs) and other clinical systems.

Utilizes AI to structure and save discrete clinical data from various text sources, enhancing its use in predictions and protocols.

Flexible deployment at the client side or as a secure cloud service; already integrated within leading EMR marketplaces.

cliexaEcho

Model Data Generation and Deidentification Platform

cliexaEcho is a cutting-edge platform designed to generate and deidentify realistic clinical data based on real claims data, enhancing the training and accuracy of AI models.

By overcoming the limitations of healthcare data availability and the challenges of deidentification, cliexaEcho enables the creation of ad-hoc cases and complex scenarios that allow AI models to be trained more effectively.

cliexaDiagnostics

Automated Diagnostics Documentation Platform

Automates the generation of encounter notes, SOAP notes, and comprehensive diagnostic overviews.

Integrates diverse data sources, including patient-reported outcomes, lab data, medication data, diagnostic data, claims data, and medical device data.

Provides real-time, on-demand updates within patients’ charts in EMR systems, offering a holistic and current view of a patient’s health status.

cliexaProspect

Advanced AI Platform for Clinical Insights

Analyzes data from multiple sources tpredict potential health risks.

Continuously updates risk assessments with real-time data and provides actionable insights for timely interventions.

Integrates seamlessly with existing healthcare systems, enhancing functionality without disrupting ongoing operations.

cliexaGuidelines

Clinical Guideline Recommendation Platform Powered by AI

Delivers personalized treatment recommendations by analyzing web-based and static data.

Uses Natural Language Processing (NLP) textract key information from unstructured content and provide real-time, data-driven guidelines.

Includes a robust rules engine for accurate information retrieval and real-time recommendations based on observed patient outcomes.

cliexaProtocols

Real-time Clinical Data Processing Engine

A patented, AI-powered microservice that processes clinical data tgenerate personalized diagnostic profiles and initiate workflows.

Connects with multiple data sources tenhance patient onboarding and ongoing remote monitoring.

Utilizes a patented clinical data indexing framework tensure comprehensive and current data for clinical decisions.

cliexaProSkedge

Automated Surgical Scheduling Platform

cliexaProSkedge is a revolutionary automated surgical scheduling platform designed to optimize and streamline surgery center operations.

By seamlessly integrating with cliexaConnect, it consolidates patient information from multiple EHR systems to provide a unified, real-time view, enhancing scheduling accuracy and efficiency.

ProSkedge ensures better utilization of resources, reduces cancellations, and delivers personalized pre-procedure instructions for each patient.

cliexaHub

Comprehensive Population Health Command Center

cliexaHub is a robust, centralized command center designed for healthcare providers, offering a holistic view of population health. By integrating cliexa’s suite of advanced microservices, it delivers real-time insights into patient data while enabling detailed drilldowns into individual cases.

cliexaHub empowers providers to make data-driven decisions that enhance patient care, streamline operations, and improve overall outcomes.