e-Clinic & Diagnostic

This module manages patient demographics, registration, and admission processes. It includes features such as assigning unique patient identifiers, capturing personal and medical information, and managing patient records.

Enables patients to book appointments with healthcare providers and manages the scheduling of consultations, examinations, surgeries, and other medical procedures.

Stores and organizes patients' medical histories, diagnoses, medications, treatment plans, immunization records, lab results, and other clinical information in digital format.

The LIMS module manages laboratory tests, sample tracking, and test results and interfaces with medical devices and instruments for automated data capture.

The RIS manages radiology procedures, imaging studies, and radiological reports, including scheduling, image storage, and reporting functionalities.

Our cloud-based platform for diagnosis centers allows physicians to integrate all types of radiology equipment for X-rays, cardiology, neurology, pulmonary, nuclear medicine, and ultrasound. Once integrated, physicians can access these images from anywhere, on any device connected with the EMR, for a 360-degree patient view. Doctors can easily share patient diagnostics with other doctors using our platform, speed up report generation, and improve overall patient care.

We are transforming diagnosis centers by providing a cloud platform that enables them to integrate laboratory equipment in real time and streamline lab analysis. Our platform includes a LIMS that allows diagnosis centers to quickly process lab tests and directly associate results with patient EMRs.

The Quality Management and Reporting monitors and evaluates clinical outcomes, patient satisfaction, compliance with regulatory requirements, and performance metrics. Also, it generates reports for internal analysis and external reporting purposes.

The Telemedicine module integrates with telehealth platforms to facilitate virtual consultations, remote monitoring, and telemedicine visits, enabling access to healthcare services from remote locations.

Diagnosis Centers can connect devices that track vital signs and other health metrics to our platform, transmitting data associated with the patient's electronic health records in real-time. This allows for more effective treatment and better care and support for those in need. 

Our cloud platform enables Diagnosis Centers to use IoT medical devices that allow continuous patient monitoring, reducing the need for frequent hospital visits. We believe we can reduce healthcare costs by constantly monitoring patients while providing better quality care. 

Our primary focus is helping healthcare professionals and researchers analyze patients' electronic medical records (EMR), clinical notes, patient clinic history, thematic apperception of patient results, habits, and social health, and extract the most vital information for the diagnosis, enabling real-time analytics and health queries in natural language. 

The Healthcare Cloud Platform is built under robust security measures to protect patient data from unauthorized access, breaches, and cyber threats,  ensuring compliance with healthcare regulations such as HIPAA (Health Insurance Portability and Accountability Act).

At VTS, we offer real-time reporting and analysis of healthcare operations, with medical data processing under advanced AI technology. Our approach enables healthcare professionals to gain valuable insights and make informed clinical decisions based on the latest information and trend analysis. 

The Healthcare Cloud Platform provides mobile applications or responsive web interfaces allowing healthcare professionals to access patient information, review test results, and perform other tasks.

Our cloud platform enables secure, flexible, and efficient diagnostic data storage and sharing, streamlining workflows and improving patient outcomes under international health regulations and compliances (GDPR, HIPAA, HL7, IHR). 

The RCM module manages billing processes, insurance claims, reimbursement, and financial reporting. It integrates with accounting systems for economic analysis and budgeting.

Our cutting-edge technology allows us to predict disease outbreaks and patient outcomes using historical data. We deploy various machine-learning models that self-learn and adapt as they process massive data. The AI & Analytics platform can always offer up-to-date and accurate predictions, giving healthcare providers and planners the information they need to make informed decisions.