Andros

Reframing how health plans design, build, and manage provider networks

Product

Arc

Category

UX Design

My Role:

UX, UI, Dev Handoff

Tools Used

The Solution

A Network Lifestyle Platform

Think of provider networks as ecosystems that are constantly evolving. Predictive analytics help design smarter networks, track performance, and put those plans into action by linking up existing systems. The best part? New opportunities to strengthen and grow the network along the way.

Project Overview

Andros Arc is a data orchestration hub that connects systems, aligns teams, and powers every phase of network management. This project was built with an MVP approach. I was the sole UX designer building a provider network management platform from the ground up. I owned everything from establishing the design system and crafting the UI/UX to creating a smooth handoff process with our dev team. 

The problem statement

The problem statement

Healthcare is facing a transformation rising consumer expectations, increasing costs, and strict compliance requirements are pushing health plans to rethink how they manage provider networks. However, outdated directories, disconnected systems, and manual processes continue to slow progress.

Years Worked on: 2

User problems

Outdated and clunky technology

Many organizations still rely on Excel spreadsheets for tracking payer enrollment and credentialing, with health plans requiring hard copies of information instead of digital formats.


Disconnected data silos

Data updates in one system aren't shared with other systems, forcing staff to manually update the same information across dozens of different platforms.


Endless manual processes

Payers must employ entire teams just to make account updates, while providers face constant information requests from an average of 20+ different health plans.


Rapid data decay

Between 20% and 30% of directory information changes annually, making it difficult to keep records current.

Discovery

Building Arc started with really understanding who would use it and how. We used three main UX discovery methods, archetypes, information architecture, and journey mapping into move from "we think people need this" to actually building something that worked for real workflows. These three discovery methods didn't work in isolation. The archetypes informed who we included in our journey mapping sessions. The journeys revealed which information architecture decisions would have the greatest impact on daily workflows. The IA structure influenced how we presented archetype-specific dashboards and views.

This integrated approach to UX discovery ensured that Arc wasn't just technically functional, it was genuinely usable and valuable for the people whose work it was meant to support. 

Designs

Command Center

This centralized view allows healthcare organizations to manage large scale provider databases efficiently, monitor data quality across different segments, track data ingestion from multiple sources, and ensure automated workflows are running properly. It's particularly valuable for payer organizations, provider networks, or healthcare platforms that need to maintain accurate, up to date provider information across large geographic areas or multiple data sources.

Segments

Users can create a targeted segment of healthcare providers based on specific criteria, which you can then export to a CSV file, send directly to an automated workflow for follow-up actions, or use to track and monitor data accuracy metrics over time.

Sources

Users have flexible options for populating their provider database in Arc. They can import provider data from their own existing sources and systems, or leverage Arc's built-in sources that are provider data repository to automatically populate and maintain accurate provider information.

Data Confidence

Provider data accuracy is a major problem in healthcare. Recent studies show that 81-86% of provider directory entries contain at least one inaccuracy. The most common errors are outdated addresses, incorrect phone numbers, wrong insurance acceptance information, and "accepting new patients" status.


The challenge is that provider information changes constantly practitioners move offices, join new practices, change insurance contracts, or retire and these changes need to propagate across potentially dozens of different systems and directories. The data confidence dashboards utilizes scores to show users how accurate each data point is within that source they are looking at.

Provider Profile

This centralized provider profile view saves users time by eliminating the need to search multiple sources for provider information, insurance networks, and credentials. The information displayed is defaulted to the most accurate source data, although a user can switch to any data source.

Developer Handoff Process

Design System

erikaweldon@gmail.com