Tali Health - How Tali Health Works: AI-Enhanced Continuity of Care

Diabetes, cardiology, oncology, pulmonology—no matter the specialty, everyone is feeling the same pressure: too many patients, too many gaps between visits, and not enough time.

Tali Health was designed for that exact reality.

Instead of being “another app” or “just an AI chatbot,” Tali is a clinician-guided continuity of care workflow, enhanced by AI, that lives inside your existing clinical flow and inside the patient’s daily routine—through web, iOS, and Android.

This post walks through both sides:

How Tali fits into the clinical workflow
What Tali looks like from the patient’s point of view

1. How Tali Health Fits Into the Clinical Workflow

Think of Tali as a structured loop that starts in the clinic and continues at home, without adding another inbox for your team to manage.

Step 1: Clinician defines the care plan onceThe workflow starts with what you already do today:

Diagnosis and problem list
Medications and dosing
Monitoring expectations (e.g., glucose, blood pressure, weight, symptoms)
When to self-manage vs. when to call or seek urgent care

With Tali, that plan is encoded once in a structured way. You (or your team) define:

Condition-specific or specialty-specific care plans
RPM ranges and thresholds that should trigger a review
What’s considered a routine question vs. something that needs escalation

Tali doesn’t replace your clinical judgment—it operationalizes it between visits.

Step 2: Tali becomes the continuity-of-care companionOnce a plan is assigned, Tali becomes that patient’s continuity-of-care companion:

It knows the patient’s diagnosis and individualized care plan.
It “speaks” in alignment with your instructions and institutional policies.
It’s available 24/7 via web, iOS, and Android.

From the clinic’s standpoint, this is still your care plan—Tali simply carries it forward when the visit ends.

Step 3: RPM integration and real-time monitoring

Tali integrates with remote patient monitoring (RPM) devices like:

Bluetooth-enabled glucose monitors
Blood pressure cuffs
Scales and other home devices

Readings are:

Auto-synced into the patient’s Tali profile
Evaluated against clinician-defined thresholds
Tracked over time for trends, not just single spikes

You’re not staring at raw data streams—Tali helps turn RPM data into actionable, prioritized information.

Step 4: AI-enhanced triage and notifications

This is where AI enhances the workflow without taking over:

Tali continuously evaluates incoming readings and patient-reported symptoms against your rules.
In-range readings → Tali supports self-management and adherence.
Out-of-range readings or concerning patterns → Tali triages and generates a structured, clinically relevant alert.

Notifications are tuned to your thresholds and workflows, so your team sees fewer, higher-value alerts, not more noise.

Step 5: Structured information back to the care team

When Tali flags something, your team gets:

A concise summary of what changed
Relevant vitals/symptoms and timing
Patient context tied back to the original care plan

This lets clinicians:

Intervene earlier
Prioritize the patients who need attention most
Spend less time chasing information and re-clarifying instructions

In short, Tali plugs into the existing clinical flow as an extension of your care team, not a parallel system.

2. What Tali Looks Like From the Patient’s Perspective

For patients, Tali is not a dashboard. It’s a companion that makes their diagnosis and care plan understandable and actionable—in their language, on their phone.

Tali is available via:

Web app (no download required)
iOS app
Android app

Onboarding: “This is your diagnosis and care plan”

When a patient is enrolled, they receive an invitation to Tali. Once they log in, they see:

A clear explanation of their diagnosis
Their personalized care plan, written in plain language
What they’re expected to monitor (glucose, vitals, symptoms)
When to handle things at home vs. when to contact the care team or seek urgent care

This mirrors what was discussed in the clinic—but in a format they can revisit anytime.

Day-to-day: 24/7 education and guidance

Patients can interact with Tali whenever they need support:

“Can you remind me how I’m supposed to take this medication?”
“My glucose reading is 210—what does that mean for my plan?”
“I’m feeling short of breath. Is this expected or should I call?”

Tali’s clinician-aligned AI responds based on:

That patient’s actual care plan
Clinician-defined rules and guardrails
Plain, multilingual communication that matches their preferences

The goal isn’t to diagnose—it’s to reinforce what the clinician already prescribed, reduce confusion, and support adherence.

Logging and syncing: “My readings go straight into my care plan”

Patients can:

Log vitals and symptoms directly in the app
Use Bluetooth-connected devices to auto-sync readings (e.g., glucose, BP, weight)

From the patient’s viewpoint:

They don’t have to remember what to track—Tali prompts them.
They don’t have to guess what a reading means—Tali explains it in context of their plan.
They know their care team will be notified if something is truly concerning.

This reduces anxiety and builds trust that their data is actually being used, not just stored.

Education aligned to the clinician, not the internet

Instead of generic internet search results, Tali provides:

Education aligned to the clinician’s diagnosis and plan
Reinforcement of key points in simple, clear language
Content delivered in multiple languages to bridge literacy and language gaps

For complex conditions, this matters: patients hear the same message, consistently, in a way they can understand and act on.

Clear guidance: self-manage vs. escalate

One of the biggest sources of unnecessary phone calls and appointments is uncertainty.

With Tali, patients get:

Clear guidance on when a reading or symptom is expected and manageable at home
Clear triggers for when to reach out to the clinic or seek urgent care

Because these thresholds and rules are set by clinicians, Tali can:

Educate patients in real time
Notify the care team when thresholds are breached
Reduce both over-escalation (every minor question becomes a call) and under-escalation (patients waiting too long)

3. Bringing the Two Views Together

When you put the clinical and patient perspectives side by side, the workflow looks like this:

Clinician defines the care plan and thresholds once
Tali becomes the continuity-of-care companion, available 24/7 via web, iOS, and Android
RPM devices sync in real time, feeding readings into a plan-aware system
AI enhances triage, using clinician rules to filter what matters
Patients get continuous education and guidance, aligned to their diagnosis and care plan
Care teams receive structured alerts only when needed, instead of being buried in noise

The outcome:

Higher adherence
Better patient satisfaction and confidence
Fewer avoidable calls and low-value visits
Scalable post-visit support without adding staff

4. Why This Matters Now

Healthcare teams aren’t asking for more technology—they’re asking for:

Fewer cracks patients can fall through
Less manual work to maintain post-visit continuity
A way to actually use RPM data without drowning in it

Tali Health was built to answer that request:
a workflow that extends your care between visits, enhanced by AI, and made usable for patients through the web, iOS, and Android.

If you’re exploring how to modernize your post-visit workflows—without blowing up your staffing model—Tali Health is designed to fit into the reality of your clinic, not the other way around.