How Hospices Slash Intake Time by 97%—and Admit More Patients Without Hiring

The Challenge of Hospice Intake

Hospice administrators consistently encounter significant obstacles with intake procedures. The current workflow demands substantial staff resources and frequently postpones patient admissions. Referrals arrive through multiple channels—fax, portals, and telephone—accompanied by extensive, inconsistent paperwork that regularly omits essential information like Medicare Beneficiary Identifiers. This reality forces intake teams to dedicate over half an hour per patient to reviewing materials, locating missing data, and inputting information into medical records systems.

Financial and Operational Consequences

Intake delays create cascading problems beyond simple slowdowns. The impact includes:

• Unfiled Notices of Election mean unreimbursed care
• Incomplete eligibility checks result in denied or written-off claims
• Manual chart development consumes personnel hours and increases expenses
• Slower admissions diminish patient care quality, reduce length of stay, and constrain expansion

Traditional electronic health records offer limited transparency regarding workflow bottlenecks until critical moments pass and revenue disappears.

Limitations of Existing Solutions

Current referral systems typically function as disconnected combinations of data sources with manual entry into legacy platforms lacking meaningful automation. Some organizations attempt basic robotic process automation for document extraction, but these solutions rarely align properly with established EMRs and address only partial problems.

The fundamental issue persists: even with these band-aid solutions, your current process remains error-prone, resource-intensive, and fundamentally unscalable.

HospiceOS: An AI-Driven Platform

HospiceOS represents an artificial intelligence-first system designed to overhaul hospice operations by eliminating manual procedures and fragmented workflows. The platform envisions an optimal intake workflow featuring:

1. Universal Data Capture - processes referrals from all channels automatically
2. Intelligent Document Analysis - AI evaluates completeness and identifies gaps
3. Automated Chart Creation - generates patient records without manual entry
4. Eligibility Verification - confirms coverage and authorizations independently
5. Timely NOE Submission - files claims within regulatory windows
6. Benefit Period Tracking - prevents missed required assessments

The transformation reduces intake from 30+ minutes per patient to approximately one minute of review.

Measurable Outcomes

Organizations implementing HospiceOS report:

• Extended admissions improving length of stay and revenue stability
• Decreased intake duration enabling faster patient care initiation
• Improved financial performance and capacity without additional staffing
• Compliant, timely Notice of Election submissions with zero denials

Growth Without Additional Headcount

The fundamental insight challenges conventional thinking: organizations don't necessarily require more employees or funding to expand services. Rather, they need superior operational systems. HospiceOS positions agencies to unlock increased capacity with the same staff by automating administrative friction points that currently constrain growth potential.