Perspecta Provider Data Management
  • Home
  • Solutions
    • Provider Directory Solutions
    • Provider Data Management Solutions
  • Target Market
    • Health Plans
    • Workers' Compensation
    • Government
  • Resources
    • PDM Toolkit
    • PDM News
    • "No Surprises" Toolkit
  • About Us
    • Leadership
    • Contact Us
    • Careers
  • BLOG

AI may be the provider data management secret weapon

2/10/2022

 
Provider data management & digital health transformation

The role of machine learning (ML) and artificial intelligence (AI)

by Howard Koenig...
It is important to break down data silos to access and transform data that is complete, usable, and standardized to apply advanced analytics to enable more informed decision-making for all stakeholders within the provider network enterprise. The biggest challenge is keeping provider data accessible, secure, and relevant, as it must be managed across multiple clouds, external and internal entities, platforms, applications, and attributes.

It is critical for health plan and workers’ compensation organizations to access provider data solutions with intuitive analytics built into their data management solutions. This helps to streamline and optimize the provider data management process across business units and systems. This begs the question – “How?”
​
Artificial Intelligence (AI) and Machine Learning (ML) enabled analytics, data cleansing, and data management can drive innovative new business insights to help these organizations better understand the needs and experience of consumers and injured workers.

ML and AI-powered analytics has the greatest impact on data management costs and revenue and present a competitive advantage. According to a study from Forrester and IBM, 89% of enterprise decision makers agree that scaling AI leads to competitive differentiation.

The intuitive presentation of provider data can drive business initiatives such as better customer engagement, optimizing claims management, and build a stronger, higher performing provider network. ML and AI can help organizations by processing and presenting holistic program information from such as transaction data, performance data, pricing data, demographic data, and consumer-related activity.
​
To accomplish this, it is important that analytics are available on a “self-service” and ongoing real-time basis, and not reliant on external reports and timelines. This way internal stakeholders (and even consumers) can take an active part in managing provider data. 

Learn more in the White Paper: The role of provider data management in digital healthcare transformation.

Comments are closed.
​Stay informed... subscribe for "All Things PDM"
SOLUTION & RESOURCE INDEX

ABOUT US:
Leadership
​Contact Us
Careers

RESOURCES:
Blog
PDM Toolkit
​No Surprises Toolkit
PROVIDER DIRECTORY SOLUTIONS:
Provider Directory Portfolio
VIIAD Provider Directory
Chat Bot
Transparency in Coverage Solution
WHO WE SERVE:
Health Plans
Government Health Plans
Workers' Compensation

PROVIDER DATA MANAGEMENT SOLUTIONS:
Provider Data Management Portfolio
Roster Management
Data Cleansing
Provider Data Hosting
WORKERS' COMPENSATION SOLUTIONS:
Workers' Comp Referral Resource Hub
​Provider Panel Cards / Worksite Posters
Workers' Comp Health Ticket
​Provider Directory Solutions
Provider Data Management Solutions
Privacy Policy
Picture
 Perspecta, LLC
  • Home
  • Solutions
    • Provider Directory Solutions
    • Provider Data Management Solutions
  • Target Market
    • Health Plans
    • Workers' Compensation
    • Government
  • Resources
    • PDM Toolkit
    • PDM News
    • "No Surprises" Toolkit
  • About Us
    • Leadership
    • Contact Us
    • Careers
  • BLOG