Industries · Healthcare · Hospitals
For hospitals and multi-facility health systems, we design AI systems, automation and software for administrative work: access centers, referral and authorization paperwork, revenue-cycle work queues and staff knowledge. We work alongside the EHR and systems you already run, and deploy where your PHI policies require.
Access center
Referrals
Revenue cycle
Staff knowledge
The constraint
The EHR, scheduling, revenue-cycle and document systems are validated, integrated and staffed. New AI has to sit alongside them: reading through approved interfaces, writing back only where the hospital allows, and leaving every clinical decision where it is today.
That is how we design. Our healthcare work focuses on healthcare administration. We do not provide clinical decision support, diagnosis or treatment guidance, we are not a contract research organization, and we do not replace validated clinical systems of record.
Deployment
Cloud, self-hosted or hybrid, decided per workload with your security team.
Self-hosted AI
Custom self-hosted AI environments (LLM and RAG) on infrastructure you control.
AI models
Works with leading commercial and open-source AI models.
Leadership
Our founder, Andre Mandel, personally leads sales, solution architecture and client delivery.
Delivery team
Delivery is supported by a distributed team of contractors engaged per project.
Authorizations
OrenGen does not currently hold CMMC, FedRAMP, DoD Impact Level, CJIS or HITRUST authorizations, is not a 21 CFR Part 11-validated system, and does not maintain corporate personnel security clearances.
Where hospitals start
Start with the one that backs up first. Each can run as a single project or join a larger program.
Consent-based voice and chat assistants that take routine scheduling, rescheduling and directions requests, book within your rules and transfer everything else to staff with a summary.
Buy-Lingual™ AI Voice →Extraction that reads faxed and uploaded referral packets, checks each against the department's requirements and queues incomplete ones for staff with the gaps listed.
Automation & Integration →Open authorizations tracked in one work queue, with routine follow-ups prepared for staff to review and send.
Healthcare Operations →Denials and eligibility exceptions sorted by reason and routed to the right team with the source documents attached. Staff decide every action.
Software & Applications →Answers from approved policies, procedures and payer rules, with the cited passage shown. Hosted on infrastructure you control when the content requires it.
AI Systems →Support for the committee that approves AI use: an inventory of use cases, review points, vendor evaluation and a phased roadmap, through fractional executive services (CEO, CTO, COO, CMO).
Executive Advisory →How an engagement runs
The same four stages apply to a single workflow and to a multi-facility program.
01
One workflow, its users, the data it touches and the systems it reads from or writes to, mapped with your operations, IT and privacy leads.
02
An architecture that names the deployment model, the AI models, the controls and every point where staff review or approve.
03
Build and test with your staff in the environment the blueprint names, then release in stages, one unit or facility at a time.
04
Document the system and hand it over with an operating cadence.
Security and privacy review
We don't attach HIPAA compliance labels to our services. Your privacy officer and counsel decide whether a design meets your obligations; we give them the detail to decide.
The blueprint can show your security and privacy teams where PHI would be processed, who can see it, what is logged and where a person approves, so they can review the design before the build starts. What the blueprint documents is agreed per engagement, and later changes should go back through the same review.
Deployment model first. Cloud, self-hosted or hybrid per workload, decided by where PHI must be processed.
Minimum necessary. Each workflow reads only the fields its task needs; staff access follows your roles.
Encryption. In transit and at rest, in the environment the deployment model names.
Audit trail. What the system read, what it produced and who approved it.
Human review. Staff approve outputs before they reach a patient, a payer or the record.
Retention. Retention for prompts, outputs and logs can be set to your retention schedule.
Related
Mission Brief · Hospitals
Bring one administrative workflow: its volume, its systems and its review rules. We map what AI could take on, where staff stay in the loop and which deployment model fits your PHI policies.
