Murphi.ai
Human-Guided AI for Home Health and Hospice Workflows

Guru Tadiparti, Founder and CEO, Murphi.ai

Murphi brings AI into the EHR environments agencies already use, creating a connected layer for clinical documentation, revenue integrity, care-team communication and patient payments. One integration allows these workflows to operate alongside established systems without requiring agencies to replace the EHRs their employees already know. The platform connects through approved APIs and healthcare interoperability standards like FHIR and HL7, giving it the potential to work across most post-acute home health and hospice EHR environments.

Agencies can connect their EHR, configure rules, train staff and go live in about four weeks. They can start with one module and expand under one integration, one vendor and one business associate agreement. EHR vendors can embed Murphi through API, Single Sign-On or iFrame. Its white-label model extends to coding, billing, RCM, consulting and accreditation partners.

“The patient’s journey doesn’t stop at the chart; the platform shouldn’t either,” says Guru Tadiparti, founder and CEO.

Tadiparti’s experience with healthcare technology companies including Allscripts and IBM gave him firsthand insight into the cost and disruption of EHR migrations. That experience informed Murphi’s decision to build specifically for home health and hospice, rather than adapt a hospital or physician-office system.

Before a visit, Murphi pulls referrals, H&Ps and orders from the EHR so clinicians arrive prepared. During visits, its ambient AI captures clinician-patient conversations. Clinicians can also dictate afterward, upload handwritten notes or scan medication labels, all feeding the same draft.

It prepares OASIS, HOPE and notes for nursing, therapy, aides, chaplains and social workers, linking scored items to patient words or source records. Spanish clinical input becomes English reports within minutes. Automated checks flag inconsistencies before clinicians review, edit and sign notes that sync to the EHR without retyping.

A complete OASIS draft typically takes under three minutes. Agencies report saving four to six hours per clinician daily, reducing after-hours charting and returning time to patients.

One Connection beyond Documentation

Murphi links documentation to coding, claims and cash flow. More than 35 AI-driven reviews examine coding, OASIS, plans of care, PDGM, CTI, ADRs, HOPE and related gaps before submission. Human oversight supports coding and revenue-review accuracy of up to 98 percent, while more accurate charting can raise agency revenue by 10 to 20 percent.

Care teams previously using calls, faxes and personal texts can message securely in Murphi, while families use SMS without an app. Text-to-pay links accept ACH and card payments, which are reconciled automatically to the EHR. Seventy-five percent of patients pay within 30 days, with receivables cycles falling from over 100 days to about 15.

AI That Keeps Experts in the Loop

Murphi follows a simple principle in which AI drafts and humans decide. Clinicians review and sign notes, certified coders verify AI-drafted ICD-10 codes before writeback and confidence scores flag uncertain items. Regular bias and compliance reviews add another layer of oversight

DocuGuard AI, led by compliance veteran Brian Lebanion, demonstrates this model. Its home health and hospice clients faced heavy charting and gaps in coding, OASIS, plans of care and CTI documentation.

Murphi’s embedded AI drafts notes and flags problems. DocuGuard’s coders and compliance experts verify each finding. Agencies catch gaps before claims, while DocuGuard serves more clients with the same team.

Data security is built into the platform. It is SOC 2 Type II, ISO 27001 and HIPAA compliant, with AES-256 encryption at rest and TLS 1.2+ in transit. Role-based access, zero-trust controls, 24/7 monitoring and annual third-party penetration tests support security. Customer data stays in the U.S. and is never used to train AI models.

Around 200 agencies now leverage Murphi.ai across various EHR integrations and partner relationships. MurphiConnect.ai extends the platform into behavioral health, public health, correctional health and primary and specialty care.

Looking ahead, referral-to-NOA and AI-driven billing extend the workflow from first referral through final payment. Murphi also aims to become the AI layer that EHRs, RCM firms, coders and accreditation bodies build on rather than another system competing with them.