Ideal For: Small outpatient clinics & practices ready to use their data for better care and stronger performance.

Purpose: ClinicIQ, our AI-powered Clinical Performance Tracker, turns EMR data into clear, actionable insights that improve both quality and revenue.

What It Tracks: Monitors chronic disease control, screening rates, quality measures, and lost revenue.

Outcomes: AI-based models go beyond tracking — predicting missed care, flagging revenue risks, and suggesting actions — leading to better care, higher scores, and more time for patients.

Ideal For: Hospitals and health systems seeking to optimize patient flow, reduce readmissions, and control costs.

Purpose: StayIQ, our Hospital Readmission & LOS Optimization Dashboard, uses AI-driven analytics to track readmission rates and length of stay, uncovering bottlenecks and at-risk patients before discharge.

What It Tracks: Readmission rates, LOS by service line, discharge patterns, and resource utilization.

Outcomes: Predictive models help reduce unnecessary readmissions, shorten LOS without compromising care, and improve patient outcomes while meeting regulatory benchmarks.

Ideal For: Public health agencies, hospitals, and large practices that need to monitor and respond to infectious disease threats.

Purpose: EpiIQ, our Epidemiology and Infectious Disease Control Dashboard, provides real-time surveillance and forecasting for disease transmission, vaccination coverage, and hospitalization impact.

What It Tracks: Transmission rates, overall and age-specific vaccination coverage, hospitalization rates, cost of hospitalizations, and median LOS.

Outcomes: AI-powered forecasting enables faster outbreak response, smarter resource allocation, and targeted vaccination campaigns to protect communities.

Ideal For: Market access teams, HEOR analysts, and healthcare decision-makers evaluating new interventions.

Purpose: ValueIQ, our Cost-Effectiveness and Budget Impact Analysis, combines cost-effectiveness analysis (CEA) and budget impact analysis (BIA) into one interactive platform for economic evaluation.

What It Tracks: ICER, sensitivity analysis, budget impact over multiple years, cost per member per month, CE plane, and CE acceptability curves.

Outcomes: Supports payer negotiations, formulary submissions, and internal decision-making by translating complex models into clear, evidence-based value stories.

Ideal For: Small outpatient clinics and hospitals aiming to recover lost revenue and strengthen billing performance.

Purpose: RevenueIQ, our Medical Billing and Denial Analytics Tool, transforms monthly billing data into clear, actionable insights to improve cash flow and reduce claim losses.

What It Tracks: Denial rates, top denial reasons, payer performance, A/R aging, and undercoding risks.

Outcomes: AI models identify hidden revenue opportunities, predict high-risk claims before submission, and suggest coding improvements — reducing denials, accelerating payments, and boosting financial health.

Ideal For: Healthcare manufacturers, investors, and strategic planners assessing new facility or product investments.

Purpose: InvestIQ, our Investment and Revenue Forecasting Dashboard, delivers detailed project report results alongside multi-year revenue forecasts to guide capital allocation decisions.

What It Tracks: CAPEX/OPEX breakdown, ROI, payback period, sensitivity analysis, and 5-year revenue projections.

Outcomes: Provides decision-makers with transparent, data-backed investment scenarios — including base, best, and worst cases — to maximize returns and minimize risk.