A Home Health & Hospice Provider Gets 2,000 Hours Back Every Month, Without Hiring Anyone
The provider delivers home health and hospice care, which depends on having accurate insurance information before every visit. That information was being checked manually, one patient at a time, every day. Innobot replaced that process with an automated system that now handles up to 52,000 checks per month, returns 2,000 staff hours, and delivers up to $150,000 in monthly operational value.
A Manual Process That Couldn't Keep Up With Patient Volume
Before Innobot, verifying patient insurance at the home health and hospice provider meant logging into each insurance company's website individually, navigating to the right section, and manually checking whether a patient's home health or hospice benefit was active. It had to be done for every patient, before every visit, and because visit volume fluctuated month to month, the workload was unpredictable. Some months the team coped. Other months, they were overwhelmed.
Busy Months Overwhelmed the Administrative Team
Home health and hospice volume follows patterns: certain times of year are significantly busier than others. During those peaks, the manual verification workload spiked sharply, stretching the administrative team thin. Overtime, errors, and delays increased during the months when the team could least afford them, creating a predictable cycle of stress that had no solution under the manual process.
Patients Were Sometimes Verified at Different Times
Because checking was done manually, how quickly a patient's insurance was verified depended on how busy the team was that day. Some patients were verified days in advance. Others weren't checked until the morning of the visit. That inconsistency created downstream billing problems and, in some cases, services were delivered before coverage was confirmed, a risk that grew with every new patient added to the schedule.
The Only Way to Handle More Patients Was to Hire More Staff
Growing the practice (adding more patients, more care teams, more service areas) required adding administrative staff just to keep up with insurance verification. It wasn't that the clinical side couldn't scale; it was that the back-office process couldn't. The home health and hospice provider was essentially hiring for a problem that automation could solve, at significant ongoing cost to the organization.
Each Insurance Company Had Its Own Website and Its Own Rules
Not all insurance companies work the same way. Some have straightforward portals. Others require navigating multiple screens, understanding plan-specific codes, and knowing which benefit category a service falls under. Staff had to carry all of that knowledge in their heads, and when someone left, that knowledge left with them, creating training burdens and coverage gaps every time there was turnover.
Hundreds of Insurance Checks Running At the Same Time
Innobot built an automated system that runs insurance checks for every patient on the home health and hospice provider's schedule: simultaneously, across multiple insurance companies, in batches. The system doesn't log into one portal and then the next and then the next. It works in parallel, processing hundreds of checks at once, and delivers structured results that tell the clinical and billing teams exactly what they need to know before a visit takes place.
Hundreds of Insurance Checks Running at the Same Time
Instead of checking one patient at a time, the system processes batches, running checks across multiple insurance companies simultaneously. A verification run that would take a staff member several hours is completed in minutes, and the results are ready before the clinical team's day begins. The parallel architecture means adding more patients doesn't proportionally increase the time it takes to finish the run.
Coverage Details Extracted and Organized Automatically
When the system checks a patient's insurance, it doesn't just confirm "active" or "inactive." It pulls the specific details that matter: the benefit type, the coverage level, any cost-sharing requirements, and the plan's current status. All of that is recorded in a standardized format that the billing and clinical teams can read at a glance, without having to interpret portal output themselves.
Any Coverage Problem Gets Flagged Immediately
When the system finds a patient whose insurance isn't active, has changed, or shows a discrepancy, it flags that record immediately and routes it to the right person for follow-up. By the time the clinical team starts their day, any coverage issues have already been identified. There are no surprises at the point of care, and no visits delivered to patients with unverified coverage.
Everything Is Logged for Billing and Compliance
Every insurance check the system runs is logged: which patient, which insurance company, what was found, and when. Those logs serve as documentation for billing purposes and can be reviewed at any time for compliance or audit reasons. The administrative trail that used to exist only in a staff member's memory is now structured, searchable, and permanent.
Volume Spikes Don't Change Anything
Whether the home health and hospice provider has 30,000 patients to verify or 52,000, the system handles it the same way. There is no overtime, no backlog, no scramble. The automation scales automatically with volume, which means busy months no longer create administrative crises, and the team can focus their energy on patient care rather than managing a workload surge.
A Foundation That Grows With the Practice
The system was built as a platform, not a point solution. As the home health and hospice provider expands into new states, adds new insurance relationships, or takes on new service lines, the automation can be extended to cover those areas without rebuilding from scratch. The core infrastructure is already in place, which means expansion is a configuration task rather than a development project.
From 30,000 to 52,000 Checks Per Month. Zero New Hires.
These results span fourteen months of live production from January 2025 through February 2026. Volume grew consistently as the automation was expanded across more patients and more insurance companies. The chart below shows that growth trajectory. The financial impact figures reflect the conservative range based on measured throughput and standard labor valuation.
Two Thousand Hours a Month Is a Lot to Give Back
At peak, the automation was returning the equivalent of more than a full-time employee's annual hours, every single month. That time went back to clinical coordinators, billing staff, and care managers. Instead of verifying insurance, they were coordinating care, resolving billing issues, and supporting the clinical team. That reallocation of time has an impact on patient care quality that doesn't show up in a spreadsheet, but that the team felt immediately.
The Growth Trajectory Continues
The line on the chart tells the real story. The home health and hospice provider started at 30,000 checks per month and grew to 52,000, not because they added staff, but because the automation scaled with them. Every new patient the practice takes on adds to the automation's workload, not to anyone's job description. That is what a scalable growth model looks like in practice, and it is the reason the financial value of the system compounds over time rather than staying flat.
Scale Patient Volume Without Scaling Staff
The home health and hospice provider processes 52,000 insurance checks per month with one developer maintaining the system. We've built the multi-insurance-company batch framework. We configure it for your patient volume, your portals, and your care workflows.