Avoidable ER visits reduction

Medicaid Health Plan

Business problem

  • Year over year ER visits and associated costs were increasing
  • Health plan leaders did not know what type of members were visiting the ER and why
  • No insights about what could be done to reduce unnecessary ER visits 
  • No insights about member personas/profiles associated with unnecessary ER visits, preventing redirection to alternate care

The solution

image

Benefits

  • Health plan leaders could clearly understand the historical trends for avoidable and non-avoidable ER visits, costs and population management opportunities
  • Creation of distinct member segments based on demographic, utilization, clinical and chronic disease characteristics allowed health plan leaders to understand gaps in care and pursue options for cost-effective alternative care
  • Predictive models enabling identification of future ER visits and future ER patients allowed clinical teams to create targeted intervention strategies to reduce ER utilization
^30%
Avoidable visit identification
Case Studies

You may also like

View All

Provider Directory Automation

Reduction in processing time

^99%
View Case Study

Enterprise Analytics Platform

Savings opportunity

^$100m
View Case Study

Provider Directory Automation

Self-Funded Employers Network Management Firm

Business Problem

  • 10k~ records directory processing was completely manual – no scalability
  • New provider additions were identified using excel & entered one by one through an application UI
  • Significant data quality issues on provider directory due to lack of validation logic
  • “Changed” and “Terminated” providers were not processed at all
  • Member facing provider directory was inaccurate and out of date

The solution

image

The results

Prior to automation, 10k~ row file was manually processed monthly

  • Manual processing excluded updated records (e.g., changed addresses and phone #s)
  • Manual processing excluded terminated records (e.g., providers that left the network)
  • Manual processing prone to data entry errors for 1000s of new record additions

After automation

  • 1 FTE of work saved monthly through automation
  • All updates, terminations, additions automatically updated in Provider database
  • Address discrepancies resolved using Google APIs
  • Metrics produced to automatically track monthly updates
^99%
Reduction in processing time
Case Studies

You may also like

View All

Avoidable ER visits reduction

Avoidable visits identification

^30%
View Case Study

Enterprise Analytics Platform

Savings opportunity

^$100m
View Case Study

Enterprise Analytics Platform

Leading Healthcare Payer

Business problem

  • Disagreement about business performance results due to reporting discrepancies
  • Weeks, sometimes month-long wait times for targeted analysis and custom reporting requests
  • All reporting done by looking at the “rear view mirror” with zero predictive capabilities
  • Manual, time-consuming and error prone monthly KPI reports
  • No measurable business value driven through analytics solutions

The solution

image

Benefits

  • Automated KPI dashboards and drilldown reports for management
  • Business users can access trusted, validated data on their own without IT
  • Self-service analytical platform for business analysis, reducing $3m~ in FTE spend
  • Analytics solutions enabling $100m~ in savings opportunity 
    • Readmissions prediction model
    • High-cost/risk patient identification for clinical intervention
    • SNF over-utilization
    • Overpayment & Abuse detection
^$100m~
Savings opportunity
Case Studies

You may also like

View All

Avoidable ER visits reduction

Avoidable visits identification

^30%
View Case Study

Provider Directory Automation

Reduction in processing time

^99%
View Case Study