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Every claim cited to the record
Ultra
HCLS

Patient cases that intake, consent, and route themselves.

Phyllis builds and extends your entire healthcare service operation — any case type, consent policy or care-team routing — grounded in your live instance and staged for your approval.

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A quick scroll through what Phyllis can do

Scan HCLS setup

Show me how healthcare cases are handled today and what consent capture runs.
ServiceNowSonnet 5 Low

Healthcare case type

Stand up a Prior Authorization case type on the healthcare case model.
ServiceNowSonnet 5 Low

Consent policy

Author a treatment-consent policy patients acknowledge before an appointment.
ServiceNowSonnet 5 Low

Privacy notice

Publish a Notice of Privacy Practices patients accept at registration.
ServiceNowSonnet 5 Low

Care-team routing

Route member cases to the right care team by plan and urgency.
ServiceNowSonnet 5 Low

Case lifecycle

Walk me through the healthcare case lifecycle and where each stage transition lives.
ServiceNowSonnet 5 Low

Patient portal

Extend the patient portal so members can book appointments and share insurance info.
ServiceNowSonnet 5 Low

Appointment intake

Turn appointment requests into tasks the front desk can pick up.
ServiceNowSonnet 5 Low

Directive on file

Add an advance-care-directive policy patients can record in the portal.
ServiceNowSonnet 5 Low

Priority tiers

Add an urgent tier for time-sensitive prior-authorization cases.
ServiceNowSonnet 5 Low

Consent tracking

Show which patients have acknowledged the privacy policy and which are still outstanding.
ServiceNowSonnet 5 Low

Case reporting

Inventory today's healthcare case reporting before I design a care-operations dashboard.
ServiceNowSonnet 5 Low

Scan HCLS setup

Show me how healthcare cases are handled today and what consent capture runs.
ServiceNowSonnet 5 Low

Healthcare case type

Stand up a Prior Authorization case type on the healthcare case model.
ServiceNowSonnet 5 Low

Consent policy

Author a treatment-consent policy patients acknowledge before an appointment.
ServiceNowSonnet 5 Low

Privacy notice

Publish a Notice of Privacy Practices patients accept at registration.
ServiceNowSonnet 5 Low

Care-team routing

Route member cases to the right care team by plan and urgency.
ServiceNowSonnet 5 Low

Case lifecycle

Walk me through the healthcare case lifecycle and where each stage transition lives.
ServiceNowSonnet 5 Low

Patient portal

Extend the patient portal so members can book appointments and share insurance info.
ServiceNowSonnet 5 Low

Appointment intake

Turn appointment requests into tasks the front desk can pick up.
ServiceNowSonnet 5 Low

Directive on file

Add an advance-care-directive policy patients can record in the portal.
ServiceNowSonnet 5 Low

Priority tiers

Add an urgent tier for time-sensitive prior-authorization cases.
ServiceNowSonnet 5 Low

Consent tracking

Show which patients have acknowledged the privacy policy and which are still outstanding.
ServiceNowSonnet 5 Low

Case reporting

Inventory today's healthcare case reporting before I design a care-operations dashboard.
ServiceNowSonnet 5 Low
ServiceNow
Phyllis
Jira
Solutions

Works with the stack you already run

Questions?

We’re glad you asked.

What does Phyllis actually build for Healthcare Service Management?

She sets up the healthcare service operation end to end: the case types, consent and privacy handling, care-team routing, intake, and the patient portal that fronts it all. The day-to-day patient cases and consents your team raises stay in your hands — Phyllis builds the engine that intakes, routes and records them, not the records themselves. You get a governed care-operations process ready to run.

Will this fit our healthcare setup?

Yes. Healthcare service delivery has its own shape, and Phyllis builds on the healthcare foundation rather than forcing a generic model onto it. She works with what your vertical already provides instead of reinventing it, so the result feels native to how healthcare teams actually operate.

How does she handle consent and compliance?

Consent and privacy are treated as first-class configuration, authored correctly and kept auditable. Policies are never quietly discarded — when one is retired it's deactivated, so the full history patients and auditors rely on stays intact. You get a compliant, traceable consent process rather than a black box.

Nothing is deployed without my approval, right?

Correct. Phyllis reviews your instance, proposes a plan, and only builds once you explicitly approve. Every change is staged for review and is reversible, and she never completes or activates anything on your behalf. You stay in control of what reaches production.

How do I trust her findings?

Every claim is cited back to your own live instance — what's actually configured today, not out-of-box assumptions. On migrated or long-running instances the real setup drifts from the shipped baseline, so grounding in your evidence is what makes the plan trustworthy. You get findings you can verify, not assertions.

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