Device Agnostic
Tepia connects Bluetooth devices through the patient app and cellular devices through vendor clouds, so one dashboard shows every reading.
Read: Medical Device Companion App DevelopmentTepia builds remote patient monitoring apps that collect readings from Bluetooth and cellular devices such as blood pressure cuffs, scales, glucometers and pulse oximeters, flag out of range values for clinical review, and log monitoring time and reading days for your program records. Apps use offline first sync, Apple HealthKit and Android Health Connect where useful, and write observations back to the EHR through FHIR.
Remote monitoring works when readings arrive every day without effort from the patient and every alert lands with a nurse who can act on it.
Tepia connects Bluetooth devices through the patient app and cellular devices through vendor clouds, so one dashboard shows every reading.
Read: Medical Device Companion App DevelopmentTepia logs reading days per 30 day period and timed clinical review minutes, so program documentation is complete at month end.
Read: Home Health Care Visit App DevelopmentOut of range readings land in a nurse queue ranked by severity, with per patient thresholds your clinicians set and adjust over time.
Read: Apple Watch and Wearable App DevelopmentReadings and monthly summaries write back to the EHR as FHIR Observations or documents, so the physician sees trends during visits.
Health figures Tepia plans around when scoping remote monitoring programs.
The CDC reports about 6 in 10 US adults live with at least one chronic disease such as heart disease or diabetes.
The CDC estimates nearly half of US adults have high blood pressure, the most common condition in monitoring programs.
Tepia clients report apps averaging 4.5 stars on the App Store and Google Play, a useful signal for apps older patients use daily.
Remote monitoring is an operations program first and an app second. A practice or startup enrolls eligible patients, ships them a device, gets it paired or activated, and then expects a reading every day for weeks or months. Nurses or care managers watch for readings that cross a threshold, call the patient, and escalate to a physician when needed. At month end, someone confirms which patients had enough reading days and the clinical minutes logged for each one.
The conditions shape the details. A hypertension program cares about morning and evening blood pressure averages. A heart failure program watches daily weight, because a sudden gain can signal fluid retention days before symptoms. A postpartum program tracks blood pressure for preeclampsia warning signs in the weeks after delivery. Diabetes programs follow glucose patterns around meals.
Tepia designs the software around this monthly rhythm: enrollment, device logistics, daily capture, triage, outreach and documentation. Teams that skip the operations view end up with an attractive patient app and a nurse team working out of spreadsheets.
Tepia starts with the devices you will actually ship and the thresholds your medical director wants. The examples below are illustrations; your clinicians set the real values per program and per patient.
| Device | Reading | Connection | Example alert rule |
|---|---|---|---|
| Blood pressure cuff | Systolic, diastolic, pulse | Bluetooth or cellular | Two readings above the patient’s upper limit within 24 hours |
| Weight scale | Weight | Usually cellular | Gain of more than 2 pounds overnight or 5 pounds in a week |
| Glucometer | Blood glucose with meal tag | Bluetooth or cellular | Any reading below 70 mg/dL, or a run of high fasting values |
| Pulse oximeter | Oxygen saturation, heart rate | Bluetooth | Saturation below the patient’s floor on two readings |
| Wearable or phone | Steps, heart rate trends | Apple HealthKit or Android Health Connect | Trend flag only, never a sole trigger |
| No reading | Missing data | Any | Two missed days triggers a patient reminder, three triggers outreach |
Missing data is the alert teams forget. Tepia treats silence as a signal, because a patient who stops measuring is often the one who most needs a call. For device pairing and firmware concerns, see our medical device companion app work.
Many monitoring patients are older adults managing several conditions, and some have never installed an app. Tepia designs for them first. Cellular devices that send readings without any pairing are often the better choice for this group, and the app becomes optional rather than required.
When the patient does use the app, Tepia keeps it to a few screens: today’s reading, a simple trend, a message from the care team and a button to call. Type is large, contrast meets WCAG 2.1 AA, and every instruction has a picture. Reminders go by text or voice call for patients who prefer them, and a family caregiver can be added with the patient’s permission to receive the same nudges.
Retention is the quiet metric that decides whether a program works. A patient who measures daily in month one and stops in month three generates little clinical value, so Tepia instruments adherence by cohort from launch and tests changes such as reminder timing, positive feedback on stable readings and nurse check ins at known drop off points.
The nurse console is where most of the work happens. Tepia builds it as a web app with a ranked queue, a patient timeline that mixes readings, calls and notes, and a timer that records clinical review and interactive communication minutes against the right patient and month. Reading day counts per 30 day period are visible at a glance so staff can reach out before a patient falls short.
Escalation paths are explicit: which readings a nurse can handle with a call, which require a physician, and what happens after hours. Monthly summaries generate automatically and post to the EHR.
Software that only collects and displays readings is treated differently from software that interprets them to drive diagnosis or treatment, which can fall under FDA device rules. Tepia flags that line during Discovery and works alongside your regulatory advisor so feature decisions do not drift across it by accident. Our HIPAA compliant software development page covers the privacy side.
Tepia runs its six phase process with a US based project manager who coordinates your clinical team, device vendors and our engineers.
Discovery typically lasts 1 to 3 months, development and QA 2 to 6 months, and launch about a month.
If you are a practice adding monitoring for existing hypertension patients, a turnkey vendor that supplies devices, software and sometimes nursing staff can be the fastest route, and Tepia will say so. Custom software makes sense when monitoring is your startup’s product, when you serve a specialty condition with unusual readings, when you ship your own connected device, or when monitoring has to blend with coaching, medication management or a patient portal. Our wearable app development and connected device work cover the hardware side. To scope a program, contact Tepia.
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