.png?width=1920&height=1080&name=Consulting2_Menu_1%20(1).png)
Gen AI-powered enterprise search to supercharge clinical and operational efficiency
Built an intelligent search app using Vertex AI and Gemini Pro to deliver real-time, relevant insights. It boosted productivity, reduced bottlenecks, and enabled faster decision-making across the enterprise.
Accelerated multi-modal medical research with an intelligent imaging platform
Developed a GxP-compliant, multi-tenant platform for medical imaging research. It enabled seamless AI/ML deployment, improved data accessibility, and faster clinical insights.
Intelligent HCC risk scoring with NLP to identify high-risk patients
Developed a robust NLP-based pipeline and OCR solution to extract clinical data from unstructured records for HCC scoring, cutting claim review time by 60%.
Transformed post-discharge care with virtual agents
Built an intelligent virtual agent using NLP, 3D avatars, and real-time pipelines to scale patient assessments with human-like interactions. Helping with early risk detection and reducing manual workload for care teams.
Enhanced physician efficiency and patient engagement with AI-powered Ambient Assist solution
Implemented a smart, EHR-integrated documentation assistant to cut admin time by 30% and enhance care quality. It enables physicians to focus more on patients with 80% fewer manual notes and higher satisfaction scores.
Revolutionized patient discharge flow with Gen AI-powered task monitoring
Developed a smart solution to identify missed ICU/Step-down tasks using sparse clinical notes saving up to 8 hours per patient.
Operationalized an AI-driven clinical decision support system for early diagnosis
Helped the client handle the complexities of operationalizing the algorithm on a cloud-based platform that integrates seamlessly with the hospital's electronic health records (EHRs).
Reimagined claims denial management with AI for an RCM company
Developed machine learning models to predict medical claims denials with 95% precision and 74% recall, using advanced algorithms and feature engineering to improve accuracy, based on 10.5M claim lines.
Transformed hearing care with machine learning
Developed a machine learning platform for a leading hearing benefit provider to predict sensorineural hearing loss risk, analyze utilization disparities, and build targeted care management cohorts using predictive modeling and AWS Sagemaker.
Improved claims auto-adjudication from 75% to 92%
Built an AI model to classify claims, resulting in a 75-92% improvement in auto-adjudication rates, ~$5 million in annual savings, and seamless automation of workflows and real-time performance dashboards integrated into existing systems.
Developed an ML-based face morphing and age progression application
Enabled self-wrinkle and age progression analysis, remote consultation, and unbiased evaluation for end users of a leading bio-pharma company with 90% accuracy and high-speed processing in image analysis and resolution.
AI-enabled imaging product suite for stroke and aneurysm detection
Developed intelligent mobile DICOM viewer solution to enable seamless 2D/3D visualization, real-time collaboration, and AI-powered insights driving smarter decisions and faster care at the point of need.
Streamlined claims prioritization for the largest PPO network provider in US
Deployed an ML-driven solution with stringent custom scoring metrics to settle FWA-suspect claims. Achieved 40% cost reduction and 95% success rate based on a Claim Priority Score.
AI-powered expert routing for smarter, faster clinical consults
Built a Gen AI-powered solution to help physicians find the right expert using natural language queries. Delivered 85%+ accuracy and 50% higher response rates connecting care teams faster, with confidence.
