Remote Patient Monitoring Software Development
Remote patient monitoring software for one observation-to-clinician-review pathway.
We build a bounded RPM workflow around enrolment, device or patient observations, identity, consent, data quality, clinician-approved thresholds, review, acknowledgement, follow-up, EHR handoff, access, and audit. The client and its clinicians own device suitability, clinical interpretation, diagnosis, treatment, urgency, response, billing, safety, and regulatory decisions.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Do readings reach a dashboard without enough identity, device, timing, quality, threshold, or care-plan context to support review?
Can the programme prove who saw an exception, what action they took, and what happened when a device, interface, or notification failed?
Plain answer
Remote patient monitoring software receives device or patient observations, validates identity and context, applies clinician-approved thresholds, and routes exceptions for review, acknowledgement, and follow-up. It does not diagnose or guarantee intervention. RaftLabs scopes one monitored pathway first, starting at $45,000 over 14 to 18 weeks.
The reading arrived. The clinical task did not.
A device sent an out-of-range value, but the queue did not show whether it was current, duplicated, entered by the right patient, or already acknowledged. A notification left the system, yet nobody owned the failed delivery. Monitoring needs an accountable review path, not a stream of numbers.
Published RPM delivery
- clinics enrolled in 60 days
- 25+
- PDC remote patient monitoring case
- wearable device types supported
- 4+
- Published PDC delivery
- platform delivery time
- 14 weeks
- Published PDC first release
These are results from the published PDC remote patient monitoring case, not forecasts for a new programme. They do not prove clinical efficacy, diagnosis, treatment benefit, avoided visits, alert accuracy, billing acceptance, regulatory status, or safety. Another PDC phase reported 20% less clinical decision time after an AI layer was added; that is adjacent product evidence, not a guaranteed RPM outcome.
Proof
Direct remote patient monitoring evidence
- 01
Remote patient monitoring for senior and post-surgery care
RaftLabs built PDC around wearable observations, role-based portals, provider review, and clinic onboarding. Results belong to this client and operating context.- clinics enrolled in 60 days
- 25+
- device types supported
- 4+
- first platform delivery
- 14 weeks
- 02
AI-assisted monitoring for chronic care
A later PDC engagement added prioritisation and summaries. Clinicians remained responsible for interpretation and action.- less clinical decision time reported
- 20%
- patients reached in 12 weeks
- 150+
- 03
Serverless app development case study: a browser video editor whose layer stack compiles into an FFmpeg command inside AWS Lambda
A browser-based marketing video maker built on a Konva canvas and a serverless render pipeline: timeline JSON on SQS, FFmpeg in a Lambda layer, output to S3. Roughly six to seven months of active development.- the Lambda ceiling every render had to finish inside
- 900s
- codebases, from canvas editor to Lambda renderer
- 4
- active development, October 2020 to May 2021
- 6-7 mo
Build custom RPM software when the programme and clinical response already have accountable owners.
Use a supported RPM product when its devices, workflow, integrations, evidence, and service obligations fit.
A provider owns a distinct device or observation pathway, review model, escalation, records, and pilot that cannot be configured.
Clinical, device, privacy, security, accessibility, legal, billing, support, and product owners can approve evidence and release.
Representative readings, devices, users, gaps, duplicates, delays, outages, adverse cases, and interfaces are available for testing.
A maintained RPM platform already supports the devices, programme, EHR, assurance, operations, and service expectations.
The request assumes a reading, threshold, or model can diagnose, prescribe, assure response, or replace clinician judgement.
No staffed clinical review, escalation, device support, security, privacy, or live-service owner exists.
Choose the product by the event it owns
| Need | Best fit | Primary boundary |
|---|---|---|
| Remote appointment or consultation | Telehealth platform | Scheduling, identity, communication, consent, documentation, and encounter follow-up |
| Observation between encounters | Remote patient monitoring | Device or patient data, quality, rules, clinical review, acknowledgement, and escalation |
| Patient access to messages, records, and tasks | Patient portal | Identity, content, communication, forms, records, and service requests |
| Generic connected-device fleet | IoT platform | Provisioning, telemetry, device state, commands, maintenance, and operations without clinical interpretation |
Scope
What belongs in one RPM pathway
- 01
Enrolment, identity, and consent
Link the right patient, programme, device, clinician, consent version, care context, start and stop dates, accessibility needs, contact routes, and support ownership. - 02
Observation and device data contract
Preserve source, device identifier, measurement, units, timestamp, timezone, quality, provenance, sequence, duplicates, gaps, corrections, vendor state, and whether data is suitable for clinical review. - 03
Clinician-approved rules and queues
Apply approved thresholds and context, show why an item is surfaced, route it to a staffed role, record acknowledgement and disposition, expose overdue work, and keep a tested escalation and downtime path. - 04
Clinical record and EHR handoff
Connect observations, review state, notes, follow-up, and approved summaries to one target record. Preserve source identifiers, audit writes, retry safely, reconcile failures, and prevent the integration from silently becoming the authority. - 05
Operations, privacy, and support
Monitor ingestion, freshness, notification delivery, queues, access, exports, vendors, incidents, backups, recovery, and device support. The client and its advisers approve clinical, privacy, security, retention, billing, and regulatory policy.
How it works
From approved monitoring protocol to one accountable review pathway
- Phase 101
Define pathway, thresholds, and ownership
Choose one population and observation path, devices, frequency, data-quality rules, clinician-approved thresholds, review hours, escalation, response, records, owners, risks, and acceptance measures.
- Phase 202
Prove devices, interfaces, and exceptions
Test representative hardware or patient entry, identity, timestamps, units, duplicates, gaps, connectivity, vendor APIs, EHR capability, accessibility, notifications, downtime, and adverse cases.
- Phase 303
Build the bounded monitoring workflow
Implement enrolment, device or observation ingestion, normalisation, approved rules, queues, acknowledgement, follow-up, role access, audit, one integration, monitoring, recovery, and support views.
- Phase 404
Pilot with clinicians and hand over
Run normal, missing, delayed, duplicate, out-of-range, failed-delivery, outage, and escalation scenarios, reconcile records, review privacy and accessibility evidence, train owners, monitor, and release.
Risk
What the monitoring contract must settle
- Clinical authority
- The client and its clinicians define suitable patients and devices, thresholds, interpretation, urgency, review hours, response, escalation, documentation, and release.
- Data quality
- Wrong identity, units, timezones, duplicate transmissions, stale readings, missing data, device drift, and vendor outages must be visible and routed without presenting absence as normality.
- Alert operations
- A rule is not a response service. Staff queues, monitor delivery, record acknowledgement, measure load and delay, tune only under clinical approval, and rehearse downtime.
- Compliance and device boundary
- The client and qualified advisers own device classification, intended use, privacy, security, records, billing, contracts, regulatory obligations, and claims. Code alone cannot guarantee compliance or safety.
Scope and price
A focused remote patient monitoring pathway starts at $45,000.
Start with one population, one proven device or observation route, approved rules, one clinical queue, one record handoff, and accountable operations.
Unlike general telehealth or IoT work, RPM must preserve clinical context and connect every surfaced observation to staffed review, acknowledgement, follow-up, and audit.
Starting investment
Starts at $45,000
A focused release usually takes 14 to 18 weeks. Multiple devices, EHRs, markets, billing, AI, or regulated decision support increase scope.
No clinical guarantee
Exceptions are first-class
Related healthcare services
- 01
Build Telehealth App
Build remote appointments, communication, documentation, and encounter operations.
- 02
Healthcare SaaS Development
Create the wider multi-tenant healthcare product and operating model.
- 03
IoT Development
Build device provisioning, telemetry, state, commands, and fleet operations outside clinical interpretation.
- 04
Healthcare Software Development
Deliver broader clinical and administrative workflows with accountable governance.
Work with us
Bring the monitoring protocol, devices, clinical owner, and exception cases.
Share population, intended use, devices, observations, thresholds, review hours, response, escalation, records, EHR, connectivity, accessibility, privacy, pilot cohort, service levels, and owners.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.
Common questions
A focused RPM release can include enrolment, device or patient observations, identity, consent, normalisation, data-quality state, clinician-approved threshold rules, review queues, acknowledgement, follow-up, role access, audit, an EHR handoff, and operations monitoring. The clinical organisation defines the programme, response, records, and safety policy.
No such promise is made. Software can surface readings and apply rules approved by the client, but clinicians own interpretation, diagnosis, treatment, urgency, escalation, and response. Any clinical decision support requires a defined intended use, appropriate evidence, oversight, risk controls, monitoring, and client-led regulatory review.
We confirm compatibility during discovery against the specific device, vendor programme, SDK or API, data rights, market, and target EHR capability. Published work includes CGM and blood-pressure data, but that does not guarantee another model or interface. We prove one real data path before committing to broader coverage.
Clinicians approve thresholds, context, severity, recipients, review hours, acknowledgement, escalation, and fallback. We test representative false positives, missing readings, duplicates, delayed data, notification failures, queue load, downtime, and handoff. Software helps prioritise work; the provider must staff, monitor, review, and improve the service.
A first release starts at $45,000 and usually takes 14 to 18 weeks. It covers one population and observation pathway, a proven device or entry route, approved rules, a clinician queue, acknowledgement, follow-up, role access, one integration, monitoring, and handover. Multiple devices, EHRs, markets, billing, or regulated decision support increase scope.