MARYLAND INDUSTRIAL PARTNERSHIPS

MIPS Project Detail:

Optimal Solutions Group, LLC

QI2D Collaborative System

Project #

4801

 | 

Round 

48

 | 

Aug 2011

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Company

Optimal Solutions Group, LLC

College Park

Prince George’s

 County
, Maryland
  |  
Founded: 

2000

  |  

Company Description: 

Optimal Solutions Group, LLC (Optimal) is a small, innovative economic and policy analysis research and software development firm located at the University of Maryland’s Discovery District. Optimal has conducted over 200 evaluations, nationally and in 28+ countries incorporating research rigor and innovative technology tools, such as business intelligence software, integrated data repositories, and machine-learning algorithms.

MIPS Project

Round 

48

 - 

Aug 2011

QI2D Collaborative System

Project #

4801

 | 

MIPS Round 

48

 | 

Starting Date: 

Aug 2011

MIPS Project Challenge:
Optimal sought to develop a collaborative learning cycle using artificial intelligence and machine-learning to increase the speed of diffusion of reliable and valid innovations in quality improvement for Medicare providers.

Project Scope:
Optimal is a data-driven analytics-oriented public policy research and software development firm and is committed to providing rigorous, nonpartisan, evidence-based research. The development of this project allowed Optimal to augment and invest in its ReveloTM commercial-off-theshelf (COTS) intelligent integrated data repository. This tool is focused on research evaluation, program performance monitoring and stakeholder reporting. ReveloTM is NIST FISMA compliant and includes modules for secure data collection, rigorous analysis, customized reporting and visualization. ReveloTM can be purchased through server-based licensing and Software as a Service (SaaS).

MIPS was instrumental in the evolution of ReveloTM in augmenting clinician decisionmaking. The total time and costs to conduct health reviews was reduced by at least 50% and the quality of the reporting improved.
-
Mark Turner, CEO

Results: 

The project is being considered as a healthcare clinical decision tool for facilitating the rapid assessment and diffusion of continuous quality improvement initiatives.

The goal was to standardize clinical quality assessments and reduce the number of clinical staff needed to conduct administrative tasks.

Principal Investigator:

Lise

 

Getoor

Associate Professor, Department of Computer Science

Project Manager: 

Erin

 

Twamley

Research Analyst

Technologies:

Software Development