Offerings

Provider Data Management

Modern data strategies enable rapid results

We've seen provider networks grow through decades of M&A, aged records trapped in legacy monoliths, trickle-fed through years of unstandardized partner and client data feeds. Launch’s 8-week, proof-of-concept engagement cleaves through these barriers to

highlight the ways our machine learning (ML)-powered algorithms, processes, tools, and data sets will enable a rapid recharge of your provider directory.

$2b+

What the healthcare industry spends annually on inefficient work to ensure data accuracy

$120b

will be spent on AI solutions by 2025, doubling the current expenditure.

From slow and tedious to fast and automatic

The healthcare industry spends more than $2 billion a year manually cleaning up data. With today's toolsets and technologies, it doesn’t have to be this way. When you let ML algorithms and AI do the heavy lifting of data matching, healing, and formatting, you can free your human operators from repetitive, menial tasks. Additionally, your sprawling data sets benefit from improved accuracy, consistency, coherency, and interoperability.

This unleashes a cascade of positive results, including better confidence in the data sets you publish and use, streamlined compliance with CMS mandates, more efficient claims processing, readiness for analytics and BI, and improved partner integrations.

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300%+

Increase in accuracy of our client’s provider data – from 29% to 97% – thanks to our ML-driven modeling

$4m+

First-year savings realized by our client with new machine-led mastering processes in place

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Let’s start with your provider directory

We are confident our modern toolset can improve your data, and your provider directory is a great place to start. Our Provider Data Optimization Proof of Concept (POC) engagement demonstrates the viability of employing AI/ML to correct and cure your directory in an expedient timeframe. We'll apply our technologies and techniques to a portion of your directory to demonstrate how our processes can benefit your entire provider network on an objective and quantitative level.

We invite you to see how a human-in-the-loop approach to data science will translate your data from its original condition, into a rationalized, optimized, and interoperable provider directory with a fit and finish that your peers will envy.

CHART THE PATH TO A HEALTHY PROVIDER DIRECTORY

Mastering Provider Data:
Our 8-week proof of concept

Our Mastering Provider Data 8-week proof-of-concept puts a laser focus on your provider network – an essential competitive differentiator for any insurance payor, and often a source of pain and inefficiency, especially after the merger of multiple networks. Starting from a representative subset of your data, we will apply our modern AI/ML-powered data solutions.

You’ll see quick and quantifiable enhancements to that data. We will finish with a full read-out of that POC and deliver a roadmap outlining the path to a healthy provider directory. Need to sell your project internally? We’ll help you there, too, with presentation materials tailored for your c-suite.

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Discovery

Our POC hits the ground running after we have onboarded as a delivery partner for your organization
We spend time with your data experts to understand the current state of your provider data and related systems and processes
You provide a subset of provider data—in any format

Work with us to create a concrete plan for shared c-suite clarity about what to build, why to build it, and how to empower everyone involved.

Activities

Conduct a statistical analysis of the current state of your directory
Leverage our AI/ML and human processes to master your directory
Drive improvements by leveraging additional data sources to enrich and validate data
Normalize and standardize all data with a target of interoperability
Create repeatable, scalable ingestion procedures

Outcomes

A vision of your bright data future, thanks to a clean representative sample of master provider directory data, with defining metrics
The clear path forward to a full, healthy provider directory
Exec-level forecast of benefits and savings the improved directory will provide
A full accounting of delivered improvements and benefits

Learn more about the
Data & AI Studio

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