Imagine the Art of Possible Gravity Family of Agents

Identifies diabetic patients, tracks HbA1c control, detects care gaps, and supports guideline-aligned interventions and outreach.

Longitudinal management of CHF, COPD, HTN, CKD by monitoring indicators and supporting care plans.

Identifies preventive and quality gaps and orchestrates closure with audit-ready evidence.

Stratifies patients into rising and high-risk cohorts with explainable drivers.

Predicts readmission risk and ensures post-discharge follow-up completion.

Tracks referrals end-to-end to prevent leakage and ensure completion.

Identifies eligible patients, orchestrates APCM enrollment, and measures ROI.

Optimizes care manager workload and caseload prioritization.

Detects disparities in access, quality, and outcomes using SDoH and demographics.

Detects early deterioration using vitals and labs with explainable alerts.

Provides patient-specific, guideline-aligned next-best actions.

Summarizes imaging and ensures follow-up on actionable findings.

Interprets abnormal labs and escalates critical values.

Produces concise, task-oriented rounding summaries.

Identifies discharge blockers and throughput bottlenecks.

Coordinates clinical tasks across teams with SLA tracking.

Flags missing or insufficient documentation for care, quality, and billing.

Automates medical and medication prior authorization workflows.

Prevents denials and generates evidence-backed appeals.

Verifies coverage and patient responsibility pre-service.

Validates coding accuracy and DRG grouping.

Detects missed charges and contract deviations.

Optimizes RCM staffing and backlog management.

Identifies undocumented HCCs and supports RADV readiness.

Tracks HEDIS/Stars performance and uplift opportunities.

Detects utilization outliers and high-cost claim risk.

Detects overpayments, underpayments, and improper billing.

Monitors provider performance and network adequacy.

Tracks quality, cost, utilization, attribution, and forecasts shared savings.

Decomposes PMPM drivers and detects leakage.

Reconciles contracts and benchmarks performance.

Produces cited summaries and evidence syntheses.

Drafts compliant, evidence-backed medical responses.

Detects safety signals and generates regulatory narratives.

Matches patients to trials and assesses feasibility.

Models PBM contracts, detects under-reimbursement, and flags GER/BER risk.

Tracks adherence patterns and high-cost drug utilization.

Coordinates workflows for complex specialty therapies.

Analyzes formulary alternatives and network performance.

Tracks claims end-to-end from submission through payment, prioritizes follow-ups, and identifies stalled or aging claims to accelerate cash flow.

Forecasts supply demand, optimizes inventory levels, predicts shortages, and tracks recalls to reduce waste and ensure availability of critical items.

Tracks utilization, cost variation, and outcomes for high-cost implants and devices to control spend and improve standardization.

Analyzes inpatient, outpatient, ED, imaging, and procedure utilization against guidelines and benchmarks to identify overuse, underuse, and site-of-care optimization opportunities.

Identifies unwarranted variation in diagnostics, LOS, treatment patterns, and outcomes across providers and facilities and recommends standardization.

Optimizes appointment availability, referral scheduling, and provider templates to improve access without adding capacity.

Continuously validates clinical and quality documentation against CMS, NCQA, and payer audit requirements to maintain readiness.

Identifies persistently high-cost patients, explains cost drivers, and orchestrates targeted care and utilization interventions.

Forecasts admissions, procedures, imaging, and specialty demand using historical and leading indicators.

Measures outcome and cost impact of care models (APCM, CCM, PCMH, bundles) to guide scaling and investment decisions.

Governs AI usage across clinical workflows by tracking models, guardrails, bias, drift, and regulatory compliance.