Health Everywhere

Digital Diagnostic Telehealth
Platform (DDTP)

DDTP Overview

The Digital Diagnostic Telehealth Platform (DDTP) is a
cloud-based AI health solution that revolutionizes specialist
accessibility and diagnostics.

Much like the coordinated communication and treatment in an
emergency room, DDTP fosters collaboration among specialists,
GPs, nurses and patients.

DDTP ensures clear communication channels, enabling
comprehensive assessments and precise healthcare delivery.

Key Features

Multichannel Telehealth Services

Seamless access to synchronous and asynchronous consultations via various communication modes.

AI-Driven Diagnostics

Utilization of artificial intelligence for precise and efficient diagnostic analyses.

EHR/CRM Integration

Effortless integration with electronic health records and customer relationship management systems for comprehensive patient information.

Robust Data Protection Measures

Implementation of stringent security protocols to safeguard sensitive healthcare data.

Benefits

Personalized Patient Care
Personalized treatment plans
for individual patient needs and
preferences.

Improved Collaboration
Enhanced coordination and
communication between doctors in
primary care and specialists.

Increased Access to Specialty Care
Expanded availability of
specialized services irrespective of geographical barriers.

Operational Efficiency
Streamlined processes leading to reduced administrative burden and optimized resource allocation.

Cost Savings
Reducing healthcare costs through optimized procedures and early interventions.

Efficiency and
Coordination

AI-Driven
Analytics

Leveraging advanced AI-driven analytics
to enhance diagnostics and derive valuable
insights from healthcare data.

Predictive Analytics

Utilizes machine learning to forecast potential health risks, aiding in early intervention and preventive care strategies.

Diagnostic Capabilities

AI algorithms within DDTP analyze patient data, images, and medical records to assist healthcare professionals in making accurate and timely diagnoses.

Treatment Recommendations

Generate treatment recommendations
based on historical data and patient profiles, supporting healthcare providers in decision-making processes.

Security
Measures

DDTP prioritizes robust security
measures to safeguard sensitive
healthcare data and maintain
patient confidentiality.

Data Encryption

All patient information and communication within DDTP are encrypted using advanced encryption standards (AES) to prevent unauthorized access or data breaches.

Access Control and Authentication

Strict access control measures ensure that only authorized personnel can access sensitive patient data, coupled with multifactor authentication for added security.

Compliance with Regulations

Ensures compliance with healthcare data protection regulations such as HIPAA, GDPR, or other relevant local laws to maintain data integrity and privacy.

Continuous Monitoring

Real-time monitoring of system activity to detect and respond to any suspicious or abnormal behavior promptly.

Technology Framework

Knowledge Graph

Interconnecting diverse data entities empowers healthcare practitioners to explore intricate relationships, driving
comprehensive insights and innovative research.

Machine Learning and AI Integration

Utilizing AI to identify new connectivity among entities. Harnessing untapped potential for revolutionary discoveries.

Streamlined Data Integration Pipeline

Enabling continuous integration of external biomedical data into the eco-system, empowering researchers to continually update and enrich the system with the latest medical information.

Data Accuracy and Credibility

Fostering a culture of openness and transparency within the system. Encouraging user input and feedback, reinforcing system integrity and promoting evidence-based decision making in healthcare research.

User Interface and Accessibility

Tailored user interface for efficiency and alignment with user preferences. An intuitive interface with interactive visualizations and powerful search functionalities for efficient data exploration.

Infrastructure

Data Management

Data Store

Secure facilities ensuring reliable data storage and processing.

Data Security and Encryption

Stringent measures protecting sensitive healthcare information.

Backup and Recovery

Robust systems for data resilience and uninterrupted service.

Cloud-Based Hosting

Scalable and accessible cloud infrastructure for flexible operations.

Client Deployment Scenarios

Fully Managed (ODM’s Cloud)
Efficient single-tenant deployment for comprehensive management and support.
Customer’s Private Cloud
Automated deployment on client-preferred clouds (AWS / GCP / Azure) with ODM's connectivity/sync packages.
On-Premise Setup
Auto-deployment within the client’s data center with ODM's connectivity/sync packages for enhanced control and customization.

Use Case

01

Patient seeks specialized
advice beyond local GP’s
expertise.

02

GP initiates DDTP
consultation, shares
patient history.

03

Platform connects GP,
patient, specialist via
video.

04

Specialist analyzes the
medical data to reach a
diagnosis.

05

Specialist recommends
treatment and additional
tests if necessary.

06

Platform securely stores
consultation details for
reference.

Deployment Strategy

SetupStage

Pilot Programs

Training Initiatives

FullI Implementation

Evaluation & Optimization

Summary

The Digital Diagnostic Telehealth Platform (DDTP) revolutionizes
healthcare by enhancing specialist accessibility and diagnostic
procedures through telehealth tools.

Offers a robust technology framework based on a knowledge
graph, empowering comprehensive medical insights and AIdriven
advancements.

DDTP’s infrastructure ensures secure, scalable hosting options
(cloud-based, private, or on-premise) while emphasizing data
security, network reliability, and seamless deployment scenarios.

Promotes a collaborative healthcare, data accuracy, and userfriendly
interfaces for optimal patient care and medical research.