Healthcare & Life Sciences
Measure the impact of patient satisfaction, clinician well-being, sales performance, and fraud prevention on revenue — and act on insights that move outcomes across providers, payors, and life sciences
Trusted by leading organizations
Every signal — patient feedback, staff engagement, sales performance, fraud prevention — connects on one platform. When you see how experience drives revenue, you stop managing data and start improving outcomes.
Patient Experience Intelligence
Every patient interaction — from scheduling to discharge — generates signals about satisfaction, loyalty, and revenue risk. Averisys connects feedback from surveys, digital channels, and care touchpoints into one platform that shows you exactly where experience gaps are costing you revenue and where improvements will drive growth.
Real-Time Feedback: Capture patient sentiment at every stage of the care journey — pre-visit, in-care, and post-discharge — and route insights to the teams that can act immediately.
Revenue Impact Modeling: Quantify the revenue impact of every satisfaction driver — from wait times and staff responsiveness to billing clarity and follow-up communication.
- Real-time feedback across the full care journey from scheduling to follow-up
- HCAHPS, CAHPS, and regulatory program support built in
- Patient loyalty and revenue impact scoring for every touchpoint
Clinician & Staff Well-Being
Physician and nursing staff burnout is not just a workforce problem — it is a revenue problem. When clinicians are burned out, patient satisfaction drops, errors increase, and turnover costs soar. Averisys measures the direct link between staff motivation, satisfaction, and well-being and your bottom line.
Burnout-to-Revenue Mapping: See exactly how staff burnout levels in each department correlate with patient satisfaction scores, readmission rates, and revenue per encounter.
Continuous Listening: Go beyond annual engagement surveys with continuous pulse checks, rounding feedback, and lifecycle surveys that surface burnout risk before it becomes attrition.
- Continuous listening across the employee lifecycle — onboarding, pulse, rounding, exit
- Department-level burnout and engagement dashboards with actionable recommendations
- Direct linkage between staff well-being metrics and patient satisfaction scores
Sales Performance & Fraud Intelligence
Healthcare revenue leaks happen on two sides — sales rep and patient outreach turnover, and claims and billing fraud. Averisys connects seller sentiment with quitting risk on one side, and analyzes claim and billing behavior on the other — so you protect revenue from both directions.
Sales Performance Intelligence: Predict patient outreach, life sciences, and provider sales rep quitting before resignations hit the pipeline — and quantify the revenue impact of seller turnover on acquisition and retention.
Fraud Intelligence: Detect claims, billing, and provider fraud patterns in real time — prioritize the highest-risk cases, prevent improper payments, and protect legitimate revenue.
- Sentiment-to-quitting prediction that identifies healthcare sales reps at risk of leaving before resignations hit the pipeline
- Acquisition analytics connecting seller engagement, coaching quality, and territory performance to patient and HCP revenue outcomes
- Attrition cost modeling that quantifies the revenue impact of seller turnover — lost accounts, ramp time, and account disruption
Member Experience for Payors
Poor member experiences drive grievances, avoidable call volume, and gaps that hit reimbursement and plan competitiveness. Averisys connects member friction across enrollment, claims, and service interactions to the metrics that matter most — so leaders can improve experience and operational efficiency together.
Friction-to-Cost Analysis: Quantify the operational cost of experience failures — benefits confusion, claims friction, enrollment complexity — and identify the fixes that will reduce costs and improve retention.
Member Loyalty Prediction: Predict which members are at risk of switching plans and identify the specific experience drivers that will retain them.
- Behavioral fraud scoring that flags suspicious claims, billing codes, and provider patterns in real time — before improper payments are booked
- Claims and billing fraud prediction models that quantify exposure, prioritize the highest-risk cases, and recommend the next best action
- Revenue-protection analytics that connect prevented losses, recovered payments, and policy adjustments to measurable bottom-line impact
Life Sciences Commercialization
From clinical research to market launch, life sciences organizations need real-time insight across HCPs, patients, caregivers, and employees. Averisys connects feedback from research, medical communications, and commercial teams so every function acts on the same intelligence — accelerating time to market and optimizing field force effectiveness.
See Our Impact
Advanced Machine Learning
Trend and forecasting - LightGBM
Trend and Forecasting
Track patient satisfaction scores, HCAHPS trends, staff engagement levels, and burnout indicators over time — forecast shifts in patient loyalty and clinician retention before they impact revenue.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict patient churn, staff turnover, and revenue impact from experience gaps with models that clearly explain what is driving each outcome — from service quality to scheduling friction to clinician well-being.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Discover which touchpoints — from appointment scheduling to discharge follow-up — are most strongly linked to patient loyalty and revenue growth, and map how staff burnout cascades into lower care quality and higher costs.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare patient cohorts, facility locations, departments, and staff groups instantly — identify which segments are driving satisfaction gaps and where burnout is most severely impacting revenue.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when patients are likely to switch providers or when clinicians are at risk of leaving — identify the experience triggers and burnout thresholds that accelerate attrition, and simulate retention interventions.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze patient feedback, staff pulse surveys, online reviews, and open-ended comments at scale — surface recurring themes around care quality, workplace well-being, and service breakdowns that impact loyalty.
Learn moreAdvanced Large Language Model (LLM)
Interpretation, Risk Identification, What-if Analysis, Reports, Question Responses, and Recommendation
Interpretation, Risk Identification, What-if Analysis, Reports, Question Responses, and Recommendation
Interpret every analytical result in plain English with executive-ready reports, risk identification, and prioritized recommendations. Ask follow-up questions in plain language and receive detailed, evidence-based answers on demand.
Learn moreAverisys Analytics guarantees its security.
Ready to make AI‑based intelligence decisions?
Watch a demo and discover how Averisys — an AI‑based decision intelligence data analytics platform — turns your data into clear predictions, actionable insights, and confident decisions.