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Our health care industry consultants work with payers, providers, health systems, and services to maximize innovation, unlock new sources of revenue, and improve patient outcomes and the quality of care.
Our medical technology consulting experts help clients assess their priorities and strengths and then move decisively to innovate through adoption of Artificial Intelligence and Big Data technologies.
High value AI use cases for Healthcare Insurers
Population Health Risk Prediction
Medication and Medical Service Fraud Detection
Medication and Medical Service Fraud Detection
We offer custom AI models implementation to score every member for risks of developing any of 17 chronic diseases (such as Diabetes, Hypertension) and surgeries up to 6 months in advance. The model helps to control claims, optimise premium pricing and provide better healthcare.
Medication and Medical Service Fraud Detection
Medication and Medical Service Fraud Detection
Medication and Medical Service Fraud Detection
Based on your data we implement fraud detection models to score each claim or preauthorisation request for likelihood of fraud by analysing behaviour of members, physicians and providers. Model proves drastic claims reduction and protection of core.
Claims Inflation Forecasting
Claims Inflation Forecasting
Claims Inflation Forecasting
Claims Inflation Forecasting is a powerful AI model that enables organisations to stay ahead of the curve and make informed decisions in a rapidly changing healthcare landscape. We predict the future number of claims and the amount of expenses incurred, using historical data and causal factors such as changes in medical costs, patient demographics, and utilization trends.
Dynamic Pricing Optimisation
Claims Inflation Forecasting
Claims Inflation Forecasting
Our AI model enhances existing actuarial pricing models and enables payers and providers to create pricing discrimination and dynamic premium pricing and thresholds, thereby improving their competitiveness, revenue, and customer satisfaction. It enables to respond quickly to market changes and regulatory requirements and transform the way payers and providers price their products and services, and deliver value to their customers.
AI use cases for Operation Excellence of Healthcare Provider
Integrated Electronic Health Records System
Inpatient and Outpatient Admission Forecasting
Inpatient and Outpatient Admission Forecasting
We provide comprehensive Big Data Lake data management solution that consolidates various types of clinical and administrative data into a single platform and enables healthcare providers to access and share patient information more efficiently, accurately, and securely. Solution is integrated with clinical decision support systems, which can enable to streamline workflows and comply with regulators.
Inpatient and Outpatient Admission Forecasting
Inpatient and Outpatient Admission Forecasting
Inpatient and Outpatient Admission Forecasting
Our solutions help providers optimise their resource allocation, staffing, capacity planning, improve their operational efficiency and financial performance. Providers will be capable to proactively manage care transitions, enhance patient satisfaction and outcomes, while improve their quality of care, and achieve their business goals.
Pharmacy Stock Forecasting
AI-assisted Medical Imaging Analysis
AI-assisted Medical Imaging Analysis
We help pharmacies to optimise their inventory management and stock levels, predict the demand for different medications and supplies, and generate accurate and timely restocking recommendations. Our solution help pharmacies to minimise waste, reduce out-of-stock situations, improve medication adherence, and enhance the overall patient experience.
AI-assisted Medical Imaging Analysis
AI-assisted Medical Imaging Analysis
AI-assisted Medical Imaging Analysis
We provide cutting-edge technology that uses machine learning algorithms to analyze and interpret medical images such as X-rays, CT scans, MRIs, and ultrasounds. We enable radiologists and clinicians and help to reduce burden by automating routine tasks such as image segmentation, lesion detection, measurement, and allowing them to focus on more complex cases that require their expertise.