Healthcare Consulting Services

Healthcare leaders have been trusting InfoWorks with their consulting needs for over 25 years. Our relationship-driven process and dedication to thoroughly understanding business goals are consistently called out by clients as differentiators of our business. We work across the continuum of care, delivering actionable strategies and customized solutions to hospitals, health systems, post-acute providers, physician networks, and everything in between. Below is a snapshot of data science healthcare projects we’ve worked on.

For healthcare clients

Human Resource Management: predicting staffing needs
Patient Satisfaction: developing service-oriented patient experiences
Enable Price Transparency: interpreting and parsing data
Administration: verifying insurance when booking appointments
Staff Interactions: assisting in navigating care pathways using AI
Reduce No-show Appointments: Generate predictions using EHR data
Mental Health: detect mental state changes based on an individual’s life patterns

For Payor clients

Chart Procurement: chart locating and procurement analytics
HCC Risk Capture: built NLP application for undiagnosed condition codes
Claim Management: collection of demographic analytics
Payor/Plan Interactions: building payor/plan database for insurance verification
Enable Price Transparency: interpreting and parsing data
RX Populations: evaluation of pharmacy spend and drug interactions
Telephone Text Analytics: utilization of phone call text for social determinates of health

Projects InfoWorks Can Help With

Operations & Management Solutions

Optimizing Your Workforce through:

Analyzing and overhauling patient scheduling and flow
Optimizing utilization of patient-care resources
Management of patient-care projects
Leading through change management

Technology Strategy & Implementation

Technology Improvements including:

EMR assessment and best practice recommendations
Vetting of current and potential technology providers
Integration of multiple systems used by patients and providers
Monitoring and implementation of critical system upgrades

Data Science, Strategy, & Management

Data Collection and Utilization including:

Development of data strategies to inform how to leverage clinical data
Consolidation and connection of multiple data sources (EHR, Claims, Health Surveys, etc.)
Integration of data tools such as speech dictation and electronic health record short cuts and macros
Implementation of machine learning and predictive modeling to identify areas in which to improve patient outcomes
Building and scaling data driven decision making tools that drive business results
Data analysis, strategy, and architecture to enable price transparency