Healthcare
Simplifying Health Claims submission for patients.
Personalized Service for patients with physical
illnesses.
Personal assistant for dealing with mental health issues.
Enabling seamless communication for individuals with hearing impairments.
Trends
90%
accuracy in predicting the likelihood of developing certain diseases based on patient data
$2.5B
projected valuation of the global market for AI in medical imaging by 2024
$100B
in annual value for AI-driven personalized healthcare by 2025 in the United States alone
$3.6B
global projected savings from the adoption of healthcare chatbots by 2025
Use Cases
Drug Discovery & Enhanced Imaging
Utilize Generative AI capabilities to develop personalized treatment plans, discover novel drug candidates, and enhance medical imaging.
Predicting Disease & Managing Population Health
Employ advanced algorithms for disease prediction, population health management, and continuous learning in deployed solutions with the help of Machine Learning.
Healthcare Data Infrastructure
Establish robust data infrastructure for secure storage, efficient access, and high-quality data preparation for AI models with the help of cloud partners.
Healthcare Integration
Combine technology expertise with healthcare knowledge to ensure seamless integration and adoption of AI solutions into existing workflows.
Our Benefits
By leveraging the power of AI and data, Avkalan delivers a transformative impact
across the healthcare spectrum
across the healthcare spectrum
Enhanced Patient Care
AI personalizes treatment plans, leading to more effective therapies and improved patient outcomes. Earlier disease detection through AI-powered prediction translates to faster interventions and better prognoses. Additionally, optimized healthcare delivery systems ensure patients receive the right care at the right time.
Reduced Costs
AI streamlines drug discovery and development processes, significantly reducing the time and resources required to bring new therapies to market. Efficient resource allocation and minimized errors in diagnosis and treatment further contribute to cost savings.
Improved Community Wellbeing
Proactive disease management empowered by AI helps identify and address risk factors before illness onset. This leads to better population health outcomes, improved quality of life for individuals and communities, and a reduced burden on healthcare systems.
Our Methodology
PLAN
Draft approach, methodologies and work plan to achieve set goals
DEVELOP
Custom built solutions to achieve set goal
IMPLEMENT
Deploy solutions to production
TRAIN USERS
Provide comprehensive training to end-users on utilizing AI/ML solutions effectively
PROBLEM STATEMENT
Initial discussions to understand the business pain points
MANAGE
Hypercare, measurement and A/B testing for ongoing improvement and refinement as required before transitioning into BAU
CONSULT
Narrow down pain points to tackle for optimum outcomes and define project goals