Smarter Coding. Faster Reviews. Audit ready from Day One.
In-home Assessment
Engine (IHA)
AI-powered Coder Workbench and NLP for end-to-end risk adjustment precision.

IHA Analytics Engine
IHA Propensity Modeling
Machine learning model scores members based on:
- Historical visit completion behavior
- Contactability and homebound status
- Social drivers of health (SDoH)
- Provider coordination potential
- Seasonal trends and outreach timing

IHA Analytics Engine
Risk & Quality Opportunity Targeting
- Links each member to suspect HCCs, missed chronic conditions, or prior-year gaps
- Identifies care gaps (e.g., diabetes eye exams, colorectal screenings) that can be closed in-home
- Flags RADV-prone risk codes for enhanced documentation review

IHA Analytics Engine
IHA ROI Calculator
Estimates per-visit impact by modeling:
- RAF score improvement
- Net revenue increase
- Quality measure lift (e.g., Star ratings)
- Avoided downstream costs (e.g., ED visits, readmissions)

IHA Analytics Engine
Provider Group and
Vendor Routing
- Segment high-impact members by provider group, geography, or vendor capacity
- Supports routing to in-home vendors, field staff, or telehealth teams for coordinated follow-up

IHA Analytics Engine
Post-Visit Analytics &
Recapture Tracking
- Monitors completion rates, documentation quality, and recaptured risk
- Flags visits that did not yield expected value for vendor feedback and refinement
- Integrates visit results into suspecting models to improve next-round targeting
Use Case Snapshot
Medi-Cal/Medicaid
Plan Profile
- 120,000 Medicare Advantage members
- Mixed field vendor and tele-IHA program
- 3-year underperforming IHA program
Results with Invent Health
- Visit completion rate: ↑ from 41% to 65%
- RAF lift per 1,000 IHAs: ↑ 22%
- Waste reduction (non-ROI visits): ↓ by 36%
- Net revenue improvement: $4.2M annually
- High-need member engagement: ↑ by 2.5x
Highlights
Why Invent Health?
Other vendors
Traditional Approach
01
Member Targeting
Broad lists, random selection
02
Cost Justification
Hard to quantify
03
Risk Capture
Low value codes, poor documentation
04
Care Gap Closure
Not linked to quality strategy
05
Vendor Oversight
Minimal feedback loop
Invent hEALTH
With Invent Health
01
Member Targeting
Precision modeling based on ROI, risk, and readiness
02
Cost Justification
Real-time per-member IHA ROI modeling
03
Risk Capture
AI-driven suspect targeting + post-IHA risk validation
04
Care Gap Closure
Integrated with Stars/HEDIS gaps and provider coordination
05
Vendor Oversight
Visit yield tracking and stratified performance reports
Other vendors
Traditional Approach
01
Member Targeting
Broad lists, random selection
02
Cost Justification
Hard to quantify
03
Risk Capture
Low value codes, poor documentation
04
Care Gap Closure
Not linked to quality strategy
05
Vendor Oversight
Minimal feedback loop
Invent hEALTH
With Invent Health
01
Member Targeting
Precision modeling based on ROI, risk, and readiness
02
Cost Justification
Real-time per-member IHA ROI modeling
03
Risk Capture
AI-driven suspect targeting + post-IHA risk validation
04
Care Gap Closure
Integrated with Stars/HEDIS gaps and provider coordination
05
Vendor Oversight
Visit yield tracking and stratified performance reports

In-Home Assessment
Who It's For
- Medicare Advantage plans with field IHA vendors or tele-IHA programs
- Managed Medicaid/Medi-Cal plans struggling with SDoH barriers and redetermination
- ACO & D-SNP organizations targeting high-risk or dual-eligible populations
- Health plans launching IHA programs that want to ensure high-value deployment
Contact us
Make Every In-Home Assessment Count
Let us show you how analytics can drive smarter targeting, lower costs, and better outcomes.
Our Blog
Healthcare Insights,
Made Simple
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Discover how Invent Health’s Modular Analytics Platform (MAP) improves risk adjustment, care coordination, and financial performance for health plans.
Roundtable: Unlocking the Power of In-home Assessments
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