One Patient Record Replaces an EHR, a Spreadsheet, and a Device Portal for APCM, RPM, and Behavioral Health

A clinician-led primary and remote care group ran three Medicare programs across three disconnected systems, reconciling billing by hand every month. We built one platform unifying Advanced Primary Care Management, Remote Patient Monitoring, and Behavioral Health Integration across six roles, five web portals, and a patient mobile app, with billing logic the founding physician validated himself.

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Customer Focus

A clinician-led primary and remote care group serving rural and underserved hospitals and clinics

Scope

APCM, RPM, and Behavioral Health unified across six roles, five web portals, and a patient mobile app

Stack

FHIR (US Core), OAuth 2.0, iOS

Status

In active development

Outcomes

What's Built and Validated So Far

This is a capability result, not a measured-outcomes one. The platform is in active development, and no enrollment volume, claims-approval rate, or revenue figure is available from the source record.

  • Six roles specified and prototyped end to end, across five web portals and a patient mobile app.
  • Billing mapped to the live CMS code set for APCM and RPM, with the G-code logic reviewed and confirmed by the founding physician who bills those codes.
  • Eligibility, consent, and escalation designed against the program's own conditions of payment, so the requirements that decide whether a claim survives sit in the data model rather than a reporting layer bolted on later.
  • Three programs and six roles running on one patient record instead of an EHR, a spreadsheet, and a device portal reconciled by hand each month.
The Problem

Three Programs, Three Systems, One Monthly Reconciliation by Hand

The clinic could not answer basic questions about its own programs because the answers lived in different systems, and Medicare's payment rules for advanced primary care land in the data model, not the reporting layer.

01
Patient Records Diverging From the EHR

Patients created by hand fell out of sync with the EHR record, producing duplicates and mismatches. Since the patient record determines billing eligibility, a bad record became a claims problem, not a data quality one.

02
Eligibility Checked at Billing, Not Enrollment

Program eligibility was verified when the bill went out rather than when the patient was enrolled, the more expensive point to catch a problem.

03
Billing Rules Living Outside the Data Model

Medicare pays for advanced primary care as a monthly bundle only if the practice can evidence consent obtained before services start, 24/7 access to patient information, an electronic care plan, care transition follow-up within seven days of discharge, population-level risk stratification, and performance measurement.

The Tech Stack

Built on FHIR-based EHR integration with per-clinic OAuth credentials and a native iOS patient app.

FHIR (US Core) OAuth 2.0 iOS
What We Built

Built the Program Rules Before the Screens

Service-Level APCM Eligibility

We evaluated APCM eligibility at the service level rather than as a single yes or no, resolved against the patient's live condition list rather than captured once at signup.

  • G0556: clinical staff delivering the service under a supervising physician
  • G0557: adding two or more chronic conditions expected to last twelve months
  • G0558: the same conditions in a Qualified Medicare Beneficiary
  • G-code mapping reviewed and confirmed by the founding physician before it went further

Running APCM, RPM, or Chronic Care Programs?

Talk to us about what it takes to build the eligibility and consent layer so that billing holds up.

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Let’s #Transform Healthcare,# Together.

Partner with us to design, build, and scale digital solutions that drive better outcomes.

Location

Global Tech Teams LLC, 525 Washington Blvd, Industrious at Newport Tower, Jersey City, NJ 07310, United States.

Contact

+1 408 786 5974
contact@mindbowser.com
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