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Care team of physicians

For Care Teams

You see your patients for 60 minutes a year. Something is happening in the other 525,540.

OutsideINsights turns what families and devices see at home into prioritized clinical signal — structured, compliant, and delivered into the EHR you already use.

How the Record Works

Your patient walks in with the whole story. You keep the system you trust.

Four things care teams ask us first — answered the way we’d answer them in a demo.

The record travels with the patient.

New patient, complete history on day one. No fax-chasing, no records requests — when a patient chooses you, their ongoing record arrives with them.

The provider governs the record. The patient governs access.

Your practice subscribes to the patient’s ongoing record under strict, patient-granted authorization — revocable at any time. It layers on top of your own charting, never replaces it. Your documentation stays yours, exactly as the law requires.

The chart finally includes the home.

Family and caregiver observations arrive structured and compliant — the context behind the numbers, in the chart, where you can act on it before the next visit.

It shows up in the system you already use.

We deliver our information into Epic, Oracle Health, and athenahealth. No new portal, no rip-and-replace — and if your practice ever needs one system for everything, OutsideINsights can stand alone.

HIPAA

HIPAA compliant. FHIR-native integration with Epic, Oracle Health, and athenahealth.

Federal rules now require patient data to move freely between systems. Most platforms are retrofitting for that. We were built this way.

Security built past today’s requirements, ready for tomorrow’s. Read our security overview

EpicOracle HealthathenahealthHIPAA Compliant

Technical evaluation? See the system architecture →

Built on Validated Science

The clinical foundation behind every signal we capture.

OutsideINsights isn’t a new idea. It’s an infrastructure built on decades of validated research — finally made practical.

Methodology

"Same, Better, or Worse?"

Three words. Clinically sufficient. FDA-recognized.

The Patient Global Impression of Change (PGIC) and Global Rating of Change (GRC) scales — both used as primary endpoints in FDA-reviewed clinical trials — ask a single question: has the patient's condition changed? Research consistently shows that this simple directional signal, captured regularly, is a statistically valid early-warning indicator of clinically meaningful deterioration or improvement.

OutsideINsights operationalizes this as a recurring caregiver check-in — cadence configured per care workflow — asking: "Compared to before, how is [name] doing — same, better, or worse?" A single negative response is logged. A pattern of negative responses triggers a structured clinical alert with the supporting observation detail.

PGIC ScaleGRC MethodologyFDA PRO GuidanceClinician-reported outcomes

References

  1. [1]U.S. Food & Drug Administration. Patient-Focused Drug Development Guidance Series — Guidance 4: Incorporating Clinical Outcome Assessments into Endpoints for Regulatory Decision-Making. View source ↗
  2. [2]Snyder CF, et al. "Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations." Quality of Life Research, 2012. (NIH/PubMed — proxy and caregiver-reported outcome validation across psychiatry, geriatrics, neurology, pediatrics.) View source ↗
  3. [3]Hall AK, et al. "Mobile text messaging for health: a systematic review of reviews." Annual Review of Public Health, 2015. (90% of mobile text messages read within 3 minutes; 99% opened.) View source ↗
  4. [4]Stehlik J, et al. "Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study." Circulation: Heart Failure, 2020. (Demonstrating the necessity of combining physiological telemetry with contextual data streams to improve predictive accuracy and reduce false positives.) View source ↗

OutsideINsights methodology is grounded in validated clinical science. Specific product claims are based on outcomes from CodePause’s internal pilot data and design collaborations with clinicians across psychiatry, orthopedics, and primary care.

Specialty Workflows

Built around your specialty’s blind spots.

Pick your specialty — see exactly what OutsideINsights captures between visits, and how discordance between what patients say and what families see becomes a signal you can act on.

Why the “Human Signal” Matters

Clinical data tells you what happened. The care circle tells you why—and what’s coming next.

Orthopedics

Patient Says“My knee feels fine.”
PT Says“ROM is declining and patient favoring the leg. Possible infection risk.”
Family Says“He is not doing his exercises and seems more tired than usual.”
Early detection prevents readmission

Psychiatry

Patient Says“I am fine.”
Parent Says“She is isolating in her room and not eating dinner with us anymore.”
School Says“Grades dropping, missed 3 days this week.”
Intervention prevents crisis

Cardiology (CHF)

Patient Says“I feel okay, just a little short of breath.”
Nurse Says“Weight up 4 lbs in 2 days, ankles swollen.”
Family Says“Dad is sleeping sitting up now and breathing heavy.”
Avoided 30-day readmission

Orthopedics

Detect "Mechanical Drift" Before Readmission

!The Problem

Post-surgical patients struggle at home. By the time complications surface at follow-up, infections or mobility issues have already set in.

The Solution

Detect infection and mobility failure early. While the patient reports "pain level," the spouse reports "refusal to walk." Discordance triggers the alert.

What OutsideINsights tracks for Orthopedics

Same/Better/Worse check-in from family caregiver post-discharge
Caregiver-reported mobility observations (walking, weight-bearing, activity)
Observable signs of concern (swelling, wound appearance, appetite)
Discordance detection — patient self-report vs. caregiver report
Pattern alerting when check-ins trend worse over time

The Care Circle Engine: Your Eyes in the Home

Patients often minimize symptoms or suffer from recall bias. The “Care Circle” provides objective validation. By triangulating patient self-reports with family observations, we filter out noise and surface high-confidence “Drift Signals.”

Family MembersHome Health NursesHousehold Caregivers

We asked 186 first responders who sees patient decline first. Nearly every one said the same thing: the family — days before emergency intervention.

Clinical Outcome
Catch post-surgical decline days before it becomes a readmission. Caregiver integration in discharge care is associated with a 25% reduction in 90-day readmission risk.
¹ Rodakowski et al., J Am Geriatr Soc, 2017

Revenue Assurance

Every billable minute counted. Automatically.

The system watches the clock so your staff doesn’t.

See why RPM pays

If You Ever Need More Than Integration

Integration-first. Complete when you need it.

Most practices keep their EHR and let OutsideINsights deliver into it. But for teams that want one system for monitoring end to end — devices, check-ins, alerts, documentation, and billing support — OutsideINsights stands on its own.

See what a full RPM program includes →

Patients beyond reliable coverage? Monitoring still works. Explore the OUTsights Gateway →

See the other 525,540 minutes.

Thirty minutes with us, and you’ll see your specialty’s between-visit signal — delivered into the system you already use.

Clinical Questions About OutsideINsights

Does OutsideINsights work with our EHR?
Yes. OutsideINsights delivers structured between-visit signal into the EHR a practice already uses, with FHIR-native integration engineered for compatibility with Epic, Oracle Health, and athenahealth. Care teams keep their existing system and workflow — OutsideINsights brings its information to them. Practices that want a single end-to-end monitoring system can also run OutsideINsights on its own.
Who controls the patient record in OutsideINsights?
The provider governs the record. The patient governs access. Care teams subscribe to the patient's ongoing record under strict, patient-granted authorization that the patient can revoke at any time. This subscription layers on top of — and never replaces — each provider's own legally required documentation and record-keeping, which remains theirs.
What is the Better/Same/Worse check-in method?
The Better/Same/Worse method is based on the Patient Global Impression of Change (PGIC) and Global Rating of Change (GRC) scales — both FDA-recognized and used as primary endpoints in clinical trials. OutsideINsights operationalizes this as a recurring SMS check-in to family caregivers: 'Compared to before, how is [name] doing — same, better, or worse?' A single negative response is logged. A pattern of 'worse' responses triggers a structured clinical alert with supporting observation detail, routed to the provider's existing workflow.
How does caregiver monitoring reduce surgical readmissions?
OutsideINsights sends SMS check-ins to family caregivers after surgical discharge. Caregivers report on mobility, wound appearance, pain behaviors, and appetite — observable signs the patient may minimize. If the caregiver reports decline while the patient says 'fine,' the discordance triggers a clinical alert. This detects post-surgical complications days before readmission. Caregiver integration in discharge planning is associated with a 25% reduction in 90-day readmission risk (Rodakowski et al., JAGS, 2017).
What is the Wellness Partner in RPM?
The Wellness Partner is a family member or close contact enrolled alongside the patient. Unlike traditional RPM, where the patient alone is responsible for device engagement, the Wellness Partner creates social accountability and relationship-driven compliance. This turns RPM engagement from a technology problem into a human solution — improving sustained monitoring adherence.
How does OutsideINsights detect decline early?
Instead of static thresholds, OutsideINsights' AI analyzes the pattern of caregiver check-in responses over time to detect meaningful deterioration — flagging risk days before an emergency occurs. The models are monitored continuously, so accuracy doesn't quietly degrade as patient populations and reporting habits change.