Anonymous healthcare operations case study

Replacing spreadsheet-based care coordination with a connected CRM

A healthcare organization needed to replace spreadsheet-based patient, claim, and invoice coordination with a secure CRM that connected staff, partners, and field work.

  • Healthcare
  • CRM
  • .NET Core
  • AWS
  • Microservices

The situation

Spreadsheets could no longer support connected care operations.

Teams managed patient information, claims, invoices, and partner exchanges through manual files and disconnected communication. Repeated data entry slowed work and made current status difficult to see.

The client needed a CRM that brought operational records and communication into one workflow while remaining practical for office staff, partner organizations, and mobile users.

Illustrative healthcare CRM journey showing masked patient intake, partner handoff, claim progress, call activity, and a mobile companion view.
Illustrative care-coordination CRM journey; not a production screenshot.

The challenge

Connect sensitive records and several working contexts without adding complexity for users.

The product needed dependable data boundaries, clear status, and usable journeys across office, partner, voice, and mobile channels.

01

Manual duplication

Patient, claim, and invoice details were re-entered across spreadsheets and messages.

02

Partner handoffs

External organizations needed reliable exchanges without losing ownership or status.

03

Multi-channel work

Calls and field activity had to connect back to the same operational record.

The solution

A cloud CRM used modular services to connect records, communication, and mobile work.

The team designed around end-to-end care journeys, then implemented services and interfaces that kept each operational step visible.

  1. 01

    Unify the record

    Create a shared model for patients, claims, invoices, tasks, and partner interactions.

  2. 02

    Connect the channels

    Link partner integrations and Amazon Connect activity to the relevant CRM context.

  3. 03

    Extend to the field

    Provide mobile workflows that let staff review and update work away from a desk.

How we worked

Organize engineering around care journeys rather than separate technical components.

Product discovery followed how information moved from intake through partner work, claims, invoicing, and follow-up.

Microservices were introduced around clear business responsibilities instead of arbitrary system layers.

Regular demonstrations helped staff validate terminology, status transitions, and mobile behavior.

01Map

Trace intake, claims, invoices, calls, and handoffs.

02Model

Create shared records and service boundaries.

03Connect

Integrate partners, voice activity, and mobile work.

04Refine

Validate workflows with operational users.

The result

Care teams gained a connected view of work that had been scattered across spreadsheets.

The CRM brought patient, claim, invoice, partner, call, and mobile activity into a more consistent operational journey.

One operational recordfor connected care and administrative work
Less manual handlingacross claims, invoices, and partner updates
Multi-channel contextlinking office, call, and mobile activity

Clearer status

Teams could see where work stood without reconciling several files.

Better partner coordination

Structured exchanges reduced ambiguity around handoffs and follow-up.

A scalable product model

Modular cloud services provided room for additional workflows and integrations.

Case taxonomy

Searchable by industry, technology, product, and business need.

Industry and product

  • Healthcare
  • Care Coordination
  • CRM
  • Patient Operations

Technology and delivery

  • .NET Core
  • AWS
  • Microservices
  • Amazon Connect
  • Mobile Application

Business need

  • Workflow Automation
  • Claims
  • Invoicing
  • Partner Integration
  • Spreadsheet Replacement

Connect complex care operations

Are spreadsheets hiding the true status of patient and partner work?

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