Enhanced Connected Care (ECC) Monitoring in Hospital Wards
The fast-moving clinical environment needs care that combines precision, timing, and connection.
AI Powered by 15+ Years of Diligent EMR Data
With proven certified APIs, strategic global partnerships, and millions of clinical interactions, Apollo HealthAxis delivers measurable AI outcomes that drive bottom-line impact.
Empower Patients
Enable better access to meaningfully used data, promoting health & wellness.
Support Clinicians
Enhance quality of care by comparing performance and learning from each other.
Optimize Operations
Improve throughput, enhance patient safety, and unlock the potential for reducing healthcare costs.
Augment Community Needs
Create insights & state-of-the-art solutions that are user-friendly and can reach the last mile.
Innovating Where Healthcare Needs It Most
Apollo HealthAxis pioneers advanced Clinical AI streams – cutting-edge AI development, streamlining AI, and state-of-the-art data generation to help solve your most critical business challenges.
Clinical AI Development
Design and implement novel AI solutions that address unique organizational needs and drive strategic advantage.
Throughput Optimization
Remove bottlenecks, enhance process flows, and boost overall efficiency with AI-powered automation and resource allocation.
Generative AI Approaches
Unlock the value of unstructured data, turning it into actionable insights for informed decision-making.
Advanced ACAI-NLP Capabilities
Standardize text and enhance data quality to facilitate seamless integration and analysis through Apollo Clinical AI - NLP models.
Transform Data Into Strategic Advantage
At Apollo HealthAxis, we leverage 15 years of meticulously collected electronic clinical data to deliver transformative AI solutions. We focus on patient empowerment, clinical support, operational optimization, and community health. We employ advanced data engineering technologies to prepare and transform clinical data, including entity recognition, relation extraction, and anonymization techniques, ensuring data quality and patient privacy.
Ethical AI Building Trust Driving Innovation
Our EASE framework guides our commitment to responsible AI development. This framework ensures solutions are transparent, fair, and drive measurable value.
ETHICAL CONSIDERATIONS
The principles that governs the ethical aspects of developing, validating and implementing AI and Digital Health
E
- Safety & Non-Maleficence•
- Accountability•
- Efficacy•
- Accuracy•
- Integrity•
- Fairness & Inclusivity•
A
ADOPTION
How are Clinical AI & Digital Health Programs implemented - the charge management of things
- •Interoperability
- •Universalization
- •Calibration - Benchmarking
- •Clinical Relevant Outcomes
- •Patient Safety
SUITABILITY
The aspects that deal with what is suitable for a Clinical AI program - What works and what does not
S
- Clinical Needs•
- Addressing Bias•
- Practical Accuracy•
- Human-Machine Handoffs•
E
EXPLAINABILITY
How we make the Clinical AI Models and components of digital health much easier for understanding and implementation
- •Verifying before Deciding
- •Building Trust in System
- •Counterfactual Reasoning
- •New Clinical Insights
E
A
S
E
ETHICAL CONSIDERATIONS
The principles that governs the ethical aspects of developing, validating and implementing AI and Digital Health
ADOPTION
How are Clinical AI & Digital Health Programs implemented - the charge management of things
SUITABILITY
The aspects that deal with what is suitable for a Clinical AI program - What works and what does not
EXPLAINABILITY
How we make the Clinical AI Models and components of digital health much easier for understanding and implementation
Licensable Clinical AI APIs
Workstream #2 - Disease Progression & Risk Score
- •Estimate an individual's future risk of disease onset or progression.
- •Assist clinicians in early identification and prevention with personalized protocols.
- •Used during outpatient screening, annual check-ups, or chronic care management workflows.
- •Class A/ I : SaMD - Information to Clinicians
UTILITY
- •Enables preventive healthcare and population risk management.
- •Reduces downstream hospitalization rates and complications.
IMPACT
- •Transitions care from reactive to predictive and preventive.
- •Enhances patient engagement through data-driven risk awareness.
Certified
Pipeline Research
Model Ready
Workstream #1 – CIE – CDSS – Symptom Checker
Workstream #6 – Agentic AI
Workstream #3 - Image & Signals : Clinical Pathway
- •Automated screening, triage, and diagnostic support from imaging and signal data.
- •Identify abnormalities, detect early disease, and provide structured interpretations.
- •Embedded in PACS / RIS systems or radiology workstations.
- •Class B / II : SaMD - Detection and Diagnostics
UTILITY
- •Reduces radiologist and cardiologist workload.
- •Improves diagnostic accuracy and turnaround time.
- •Standardizes image interpretation
IMPACT
- •Expands access to advanced screening (esp. in high-volume settings).
- •Enables early cancer and cardiovascular disease detection.
Certified
Pipeline Research
Model Ready
Workstream #1 – CIE – CDSS – Symptom Checker
Workstream #6 – Agentic AI
Workstream #4 - Acute Care Augmented Pathways
- •Designed for acute inpatient and perioperative settings to support decision-making on antibiotics, anesthesia risk, and early detection of deterioration.
- •Guide in real-time, high-stakes environments.
- •Alerts clinicians via EMR pop-ups or risk scores. Integrated into ICU, ER, and OR dashboards.
- •Class A/ I : SaMD - Information to Clinicians
UTILITY
- •Enhances patient safety and early intervention.
- •Reduces mortality, readmissions, and ICU escalations.
- •Saves significant clinician time spent on documentation.
- •Improves discharge efficiency and bed turnover.
IMPACT
- •Expands access to advanced screening (esp. in high-volume settings).
- •Enables early cancer and cardiovascular disease detection.
Certified
Pipeline Research
Model Ready
Workstream #1 – CIE – CDSS – Symptom Checker
Workstream #6 – Agentic AI
Workstream #5 - Throughput Optimization
- •Designed for acute inpatient and perioperative settings to support decision-making on antibiotics, anesthesia risk, and early detection of deterioration.
- •Guide in real-time, high-stakes environments.
- •Alerts clinicians via EMR pop-ups or risk scores. Integrated into ICU, ER, and OR dashboards.
- •Class A/ I : SaMD - Information to Clinicians
UTILITY
- •Enhances patient safety and early intervention.
- •Reduces mortality, readmissions, and ICU escalations.
- •Saves significant clinician time spent on documentation.
- •Improves discharge efficiency and bed turnover.
IMPACT
- •Expands access to advanced screening (esp. in high-volume settings).
- •Enables early cancer and cardiovascular disease detection.
Certified
Pipeline Research
Model Ready
Secure and Compliant:
AI You Can Trust
Apollo HealthAxis prioritizes the security and privacy of your patient data. We adhere to the highest industry standards (ISO 13485:2016, IEC 62304 & 82304, etc.) and utilize confidential computing protocols to ensure the quality, security, and regulatory compliance of our AI solutions, safeguarding sensitive data at every stage.
Real Stories. Real Impact
Discover how health systems are transforming revenue operations with smarter systems, scalable models, and stronger outcomes.
Tele-ICU Enabled Trauma Care in Rural Hospital
"What is Tele-ICU Enabled Trauma Care? And how has it transformed Healthcare to a finest level?"
Remote Monitoring in Septic Encephalopathy
One of the most dangerous complications of sepsis is septic encephalopathy that can significantly raise the risk of mortality.
Better care begins with a reliable partner
Looking to improve clinical outcomes and streamline operations? Connect with us to know how we can help you.