HEALTHCARE
Innovative Care for
Healthier Lives
- Real-time Hospital Operational Dashboards
- Fraud Detection in Insurance Claims
- Outlier/Fraud Learning Models in Insurance Claims
- Chatbots
- Analytics from Patient Feedback Systems
- Loyalty Cards for Inpatients/Outpatients/Lab
- Real-time BI on Operations
- Prescriptive Analytics on Medical Devices Utilization
- Contract Analytics for Revenue Leakage
- Digital Lab Design for Bioinformatics
- Gene Data Analytics & Risk Profiling
- Genome Storage
- EMR Integration with Genomics
- Clinical Data Management (CDM) on cloud
- ADR prediction from Clinical Trials
- Cloud Enabled AI Driven Workflows for Drug Discovery and Design
- Deep Insights Analyzer (DIA) for Medical Images
- NLP Models for Medical Research Datasets
- Deep Learning Workbench for Medical Imaging Analytics
- Calculating Risk Scores from Diagnosis, Genomics, and X-ray DICOM images
- Repository of trained models using Diagnosis, Genomics, and X-ray DICOM images
- Creating Covid-19 KPIs for Healthcare Operations based on Cost, Utilization, and LOS
- Generating Disease Outbreak Models, Hospital Capacity Growth, Target Infection Rates, etc
- Integrated on-demand data analytics platform combining insights from ERP, EMR and PDS data sources
- Efficient data to insights (D2I) platform like HDM will improve the healthcare insights for doctors and specialists
- Real-time KPI dashboards for predicting outbreaks and hotspots
- Identifying Fraud/Outliers by applying exception triggers to procedures, benchmarks, capacity, productivity, and more
- Rule-based claims and predictive models for medical images and diagnosis data in direct claims
- Benchmarking, collusion maps and risk scoring applied across hospitals and ranking them
- Benchmarking performance based on Recovery Rates, LOS, Re-admissions, Error Rates in Tests, Test Converge, etc
