About Hospice Helper
Our objective is to remove the administrative burden surrounding regulatory compliance so that clinical teams can return their attention to patients, families, and the continuous improvement of care.
Founder
Jason Setsuda, DO
Founder, Hospice Helper
Dr. Jason Setsuda is a physician, hospice medical director, healthcare executive, and technology entrepreneur focused on building operational infrastructure for post-acute and hospice care organizations.
His work centers on applying modern software and AI-driven workflows to complex regulatory and clinical environments.
After working closely with hospice leadership teams, Dr. Setsuda identified a major gap in the industry: hospice agencies were expected to maintain continuous survey readiness and quality oversight using tools that were never designed specifically for hospice operations. At the same time, highly trained clinical staff were increasingly spending valuable time on documentation, manual audits, and administrative workflows rather than direct patient care and family support.
Hospice Helper was created to address that problem. Built specifically for hospice agencies, the platform integrates alongside existing EHR systems to provide AI-assisted chart auditing, regulatory workflow management, and continuous compliance visibility across the organization. The goal is to help hospices use their clinical resources more effectively, reduce administrative burden, strengthen survey readiness, and allow care teams to focus more of their time where it matters most — with patients and families.
What we build
Delivered as a single platform purpose-built for hospice — not a generalist clinical product extended into hospice workflows.
Continuous review of clinical and operational records against the Conditions of Participation, HOPE specifications, and the Hospice Quality Reporting Program. Findings are tracked, assigned, and resolved on a single source of record.
Every patient chart on the active census is reviewed against the same standards a CMS surveyor applies. Comprehensive review replaces the sample-based approach that leaves the majority of charts unexamined until a survey is announced.
Scheduled and real-time analysis identifies emerging risk as it appears in the chart — including missing signatures, late face-to-face encounters, and HUV windows approaching closure. AI surfaces and explains; clinicians decide.
Hospice Helper operates alongside the EHR your clinical teams already use — connecting through CSV/SFTP, FHIR R4, and a growing set of vendor integrations on the roadmap — without replacing the systems of record your staff have learned.
Our approach
Hospice Helper connects to the agency EHR through supported integrations and standard interchange formats. The clinical record is ingested as it changes and evaluated against a library of audit checks mapped to 42 CFR Part 418, HOPE timepoints, and HQRP measure specifications. Findings are presented on a clinical worklist that links directly to the source record, with the original payload from the EHR preserved alongside the evaluation.
Scheduled reviews run on a cadence the agency configures; real-time analysis identifies higher-risk items as they appear in the chart, while the relevant timepoint remains open. AI-assisted review is applied where it materially improves accuracy — narrative summarization, F2F and CTI extraction, symptom-coding evaluation — and is paired with explicit evidence and a clinician decision before any record is altered.
The result is a single, authoritative view of audit, quality reporting, and survey readiness, supported by a complete, attributable history of how every finding was identified and resolved.
Our commitments
The interdisciplinary group, the certification of terminal illness, face-to-face encounters, HOPE assessments, and the four levels of care are represented as first-class concepts in the platform.
Encrypted storage and transport, tenant-isolated data, attributable audit logging, and a signed Business Associate Agreement executed before any production protected health information is processed. On track for SOC 2 certification.
Full detail on the security pageModels assist clinical review and surface specific evidence behind each finding. Clinical judgment and the responsibility for changes to the record remain with the agency's clinicians.
Contact us
The most efficient path is a scoped deployment conversation, beginning with a walkthrough on a sanitized sample of your data — or a fully synthetic dataset if your agency prefers to evaluate the platform before a Business Associate Agreement is executed.
