Clinical AI services

AI tools, applied to real clinical work.

CliniGene helps hospitals, labs, and life-science teams use practical AI for documentation, review, and genomic workflows — with clinicians remaining in control.

  • Clinician-led People stay accountable for decisions
  • Workflow-first Tools fit existing clinical process
  • Audit-ready Clear inputs, outputs, and review
  • Privacy-minded Minimum necessary data, controlled access
Services

Where AI helps clinical teams move faster

We configure and operate AI tools around the work you already do — not a generic chatbot dropped into the EHR.

Clinical documentation

Draft visit notes, discharge summaries, and follow-up language from clinician input so teams spend less time on the keyboard.

Chart review & abstraction

Pull structured facts from records for quality programs, registries, and research — with a reviewer confirming every extract.

Prior authorization support

Assemble clinical justifications and packet summaries so revenue-cycle staff can submit cleaner, faster requests.

Coding assistance

Suggest codes and documentation gaps from the clinical record. Coders remain the final authority.

Protocol & trial operations

Help coordinators screen notes against inclusion criteria and keep protocol language consistent across sites.

Genomic context

Support variant and biomarker write-ups with literature context and structured summaries for molecular tumor boards and lab teams.

Approach

A clear path from use case to live service

01

Map the work

We sit with the clinical, lab, or ops team to document the current process, systems, and what “done” looks like.

02

Configure the tools

Prompts, retrieval, and review steps are built around your templates and policies — not a one-size model.

03

Operate with review

We run the service, measure turnaround and quality, and keep a person in the loop before anything is released.

Who we serve

Built for clinical and life-science operations

CliniGene works with organizations that already have clinicians, coders, coordinators, or scientists in the workflow and want AI to support that work — not replace it.

  • Health systems and specialty clinics
  • Clinical and molecular laboratories
  • Biopharma and translational research groups
  • Revenue cycle and utilization review teams
  • Clinical trial sites and CROs

Have a clinical workflow that needs AI support?

Tell us about the process. We will follow up with a practical next step — not a generic demo reel.

Request a conversation