AI Agents for Healthcare Operations | Pokee AI

Patient context, ready for safer handoff.

Pokee AI helps care teams turn long clinical histories, nursing notes, vitals, labs, medications, and recent events into a concise, reviewable handoff summary. This demo focuses on healthcare workflow: clearer context, safer transitions, and secure handling of sensitive patient data.

Healthcare focus: The demo uses synthetic patient data to show how Pokee AI can support nurse handoff, patient-context review, and clinician-supervised summarization in privacy-sensitive care settings.

Long context

Reads many notes, vitals, labs, meds, and events without losing the patient story.

Secure

Designed for protected health data, access controls, and auditable workflows.

Deployable

Supports private cloud, on-prem, and on-device options.

Pokee Patient Context Demo

Ready

MR

Maria R. · Room 418B

Admitted for pneumonia · 68F · Full code · English/Spanish

High watch

Overnight change: oxygen increased from 2L to 4L nasal cannula after desaturation to 89%. Fever improved after antibiotics. Potassium is low and replacement is ordered. Incoming nurse should watch respiratory status, fall risk, and pending chest X-ray.

Respiratory risk

O2 requirement increased overnight.

Fall risk

Needs assist to bathroom.

Family context

Daughter asks for update after rounds.

Medication

Antibiotic due at 10:00 AM.

Capabilities

Designed around healthcare context.

A useful nurse handoff assistant needs more than a short summary. It needs to understand long patient context, protect sensitive health data, show where information came from, and fit into hospital deployment requirements.

Long patient context

Review a large window of patient history, clinician notes, medication changes, lab trends, vitals, care plans, and shift events.

Health-data security

Support protected care workflows with access control, minimum-necessary data use, encryption, audit logs, and source-backed outputs.

Hospital-controlled deployment

Deploy inside hospital infrastructure, an enterprise VPC, private cloud, or other controlled environments where patient data must stay governed.

On-device and edge options

Support low-latency clinical workflows closer to the care team, with reduced external data movement where device deployment is appropriate.

Traceable handoff output

Show key claims with source references so nurses can verify the underlying note, vital sign, lab result, medication, or order.

Clinician review built in

Keep AI-generated summaries as drafts until a nurse or clinician reviews, edits, and approves the final handoff context.

Workflow

From messy chart data to trusted handoff context.

Pokee AI organizes approved clinical data into a structured, reviewable handoff so nurses can quickly see what changed, what is risky, and what needs attention next.

  1. Ingest approved health data

Uses authorized clinical sources such as EHR fields, nursing notes, vitals, labs, medications, orders, and care plans.

  1. Reason across the chart

Finds what changed, what matters, what is missing, and what needs nurse attention across long patient records.

  1. Draft nurse-ready handoff

Produces SBAR summaries, checklists, alerts, and pending-task reminders tailored to shift-change workflow.

  1. Clinician verifies

The nurse or clinician reviews, edits, approves, or rejects the draft before it becomes official.

Interactive demo

Shift handoff copilot, on synthetic patients.

Select a synthetic patient and switch between SBAR, tasks, and timeline views.

Patient queue

Patient Context
MR Maria R. Room 418B · Pneumonia · 68F · Full code
DK David K. Room 312A · Post-op hip replacement · 74M · Fall precautions
AS Amina S. Room 205C · Heart failure exacerbation · 59F · Fluid restriction

Pokee AI handoff summary

Oxygen requirement increased overnight from 2L to 4L nasal cannula after desaturation to 89%. Fever improved after antibiotics. Potassium is low and replacement is ordered. Incoming nurse should monitor respiratory status, complete antibiotic administration, maintain fall precautions, and follow up on pending chest X-ray.

Situation

68-year-old female admitted for pneumonia. Currently on 4L nasal cannula after overnight desaturation.

Background

History of COPD and hypertension. Daughter reports increased confusion compared with baseline.

Assessment

Respiratory status is the main watch item. Potassium is low. Fall risk is elevated due to weakness and bathroom assistance needs.

Recommendation

Reassess oxygen needs, administer antibiotic at 10:00 AM, verify potassium replacement, maintain fall precautions, and follow chest X-ray result.

Built for the stack you defend

Privacy-first data handling

Use minimum-necessary data, encryption, role-based access, audit logs, and secure integration patterns.

Clinician verification

Generated handoff summaries remain drafts until reviewed by the appropriate nurse or clinician.

Source-backed handoffs

Each key claim can link back to the underlying chart record, note, lab, medication, vital sign, or event.

Flexible healthcare deployment

Support cloud, private cloud, on-prem, and on-device options depending on hospital security requirements.

Deployment & Governance

Private deployment

A dedicated managed tenant, your own VPC on AWS, Azure or GCP, on premises, or air-gapped. Your data never leaves your boundary.

Approvals and audit

Approval gates wherever you set them, role-based access, and a full audit log. Every agent action is attributable and reviewable.

Measurable pilots

Pilots run on two or three real workflows, typically live inside two weeks. Measure time saved, accuracy and cycle time before rollout.