One timeline.
Every condition.
Zero guesswork.
Glucose readings, biologic infusion windows, and symptom journals — reconciled in a single view that clinicians and patients read together.
care decisions supported today
The clinical case, built one expert at a time
Three credentialed voices. Three layers of evidence. One conclusion.
Dr. Priya Raghunathan
Associate Professor of Endocrinology
When I open a chart, I need the last 90 days of glucose variance, not 90 individual numbers. Manage gives me the pattern in four seconds. Before, that analysis took 20 minutes I didn't have.
Managing a panel of 430 type 1 and type 2 diabetic patients, Dr. Raghunathan uses Manage's glucose trend engine to flag time-in-range degradation before the patient's next appointment — reducing urgent care visits by 34% in her practice.
Glucose Trend Analysis
| Capability | Paper Logs | Generic Apps | Manage |
|---|---|---|---|
| Data granularity | Single reading/day | Raw log only | Time-in-range + variance trends |
| Pattern detection | Manual review | None | Automated 7/14/30-day flagging |
| Care-team sharing | Fax or scan | Screenshot only | Live shared timeline |
| Alert customization | — | Fixed thresholds | Per-patient clinical thresholds |
| EHR integration | Manual entry | None | Epic / Cerner / Athena |
Marcus Okonkwo, MSN, RN
Nurse Informaticist, Rheumatology
Biologic infusion scheduling used to live in three separate systems. Now I coordinate 280 patients' infusion windows, pre-medication requirements, and insurance auth timelines from one view. We haven't missed an auth window in seven months.
Okonkwo leads medication reconciliation for Mayo's rheumatology infusion center. His team cut medication discrepancy errors by 61% after deploying Manage's reconciliation layer alongside their existing Epic workflow.
Medication Adherence & Scheduling
| Capability | Paper Logs | Generic Apps | Manage |
|---|---|---|---|
| Infusion window tracking | Whiteboard | Calendar reminder only | Automated window + pre-auth alerts |
| Reconciliation accuracy | ~72% (manual) | ~81% | 97.3% verified |
| Multi-drug interaction check | Pharmacist only | Basic flag | Real-time clinical DB lookup |
| Insurance auth tracking | Separate system | None | Embedded auth timeline |
| Nurse workflow integration | Paper MAR | Standalone | Embedded in EHR sidebar |
Diane Castellano
Patient Advocate & Lupus Patient
I had a refrigerator covered in paper logs. My rheumatologist would look at them for 90 seconds. With Manage, she saw a flare pattern across six months that we'd both been missing. That changed my treatment.
Diane represents the 68% of chronic disease patients who report that their care team cannot interpret their self-reported symptom data in a clinical visit. Since adopting Manage, her flare frequency has decreased by 40% and her appointment preparation time dropped from 45 minutes to 4.
Patient-Reported Data Visibility
| Capability | Paper Logs | Generic Apps | Manage |
|---|---|---|---|
| Symptom journal format | Unstructured text | Emoji ratings | Structured + clinician-readable |
| Flare pattern detection | Impossible | None | ML-assisted trend overlay |
| Clinician-patient co-view | Verbal summary | PDF export | Real-time shared session |
| Historical range (months) | Limited by paper | 3 months | Full patient history |
| Appointment prep time | 45 min avg. | 20 min avg. | 4 min avg. |
The numbers don't need interpretation
Measured across 1,200+ clinical implementations over 24 months.
Fewer urgent care visits
Endocrinology practices, 12-month average
Medication reconciliation accuracy
vs. 72% paper-based baseline
Patient appointment prep
Down from 45-minute paper log review
Reduction in med discrepancy errors
Rheumatology infusion centers
Patients per panel, manageable
Median panel size of Manage endocrinologists
Full capability comparison
| Capability | Paper Logs | Generic Apps | Manage |
|---|---|---|---|
| Multi-condition unified view | ✗ | Partial | ✓ Full timeline |
| Clinician + patient co-view | ✗ | ✗ | ✓ Real-time shared |
| EHR integration (Epic/Cerner) | ✗ | ✗ | ✓ Native |
| AI-assisted pattern detection | ✗ | ✗ | ✓ ML trend overlay |
| HIPAA + SOC 2 Type II | Varies | Varies | ✓ Certified |
| Biologic infusion scheduling | Whiteboard | ✗ | ✓ Automated |
| Care team alert customization | ✗ | Fixed | ✓ Per-patient |
The evidence is already written.
We just compiled it.
48 pages. Peer-reviewed citations. Implementation frameworks for practices of 5 to 500 clinicians. The guide your committee will actually read.
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