Synaptic Wins MIPS Award to Develop Population Stratification Model for Integration into Synapse Platform

By: PRLog
Synaptic Has Been Named Recipient of the Maryland Industrial Partnerships Award to Develop a Population Stratification Model for Integration into Its Synapse Care Management Platform
PRLog - Sep. 3, 2014 - ANNAPOLIS, Md. -- Synaptic Advisory Partners is pleased to announce that it has been named the recipient of the Maryland Industrial Partnerships (MIPS) award to fund the development of a new Care Management Population Stratification Model that will work in conjunction with Synaptic’s flagship product SynapseTM, a leading population health management application built on the Salesforce.com platform.  The MIPs award is used to help Maryland companies develop, extend and commercialize products through industry and university partnerships.

“This project requires extensive research to define patient profiles and identify trends in claims data.  By teaming up with the University of Maryland—who have a rich background in biostatistics and risk assessment—we hope to complement our care management software with a robust health risk model that will help healthcare providers and payers stratify and better engage patients,” said Michael Boosinger, Vice President of Delivery & Operations at Synaptic.

In partnership with Dr. Mei-Ling Ting Lee and the Biostatistics and Risk Assessment Center at the University of Maryland, Synaptic will engage in a two-phase project.  Phase One will focus on the development of a new model and methodology that will be able to predict the likelihood of future diagnoses and key medical events for a patient based on that patient’s full demographic profile and medical history.  The model will be built into the existing Synapse population health management application as a tool to stratify patients by risk and engage patients in conversations about their health. With this tool, care managers will be able to more accurately assess the potential outcomes a patient faces if they do not engage in treatment and communicate those outcomes to the patient.

“The ability to draw upon concrete data that can show a patient that they have a 75% chance of having a heart attack in the next six months unless they comply with certain medical interventions is powerful,” commented Dan Bergner, Vice President of Strategy & Development at Synaptic.  “We believe that this type of hyper-personalized care will drive higher levels of patient engagement and increase compliance with recommended care plans and interventions.  Taking a deeper look into the roles that medical, social, economic, geographic, and demographic backgrounds play in a patient’s ability to receive care allows us to create a more accurate model than those based solely on historical claims and basic demographic information.”

PhaseTwo of the project will consist of two initiatives:  refining the Population Stratification model developed in Phase One and improving patient outcomes by providing care managers with a means to identify the most effective way to communicate with a patient.

“We know that effective communication between care managers and patients can have significant positive impacts on patient adherence.  Because choosing the correct communication method is so important, we plan to use Phase Two to develop a model which will help us predict exactly which communication method is most effective for a particular patient,” added Bergner.

“I see this as an opportunity for university researchers to bring innovation and growth to the healthcare industry and state, as a whole.  The funds will be used to create a direct and positive impact on the care that providers give their patients by leveraging the talents and knowledge that we have within the University of Maryland system,” said Dr. Lee, who has over 30 years of experience in statistical and bioinformatics research and applications, including extensive knowledge related to the handling of patient record data and the concepts of care management.  Dr. Lee will direct the research team for this project, which will be drawn from the researchers and graduate students of the Biostatistics and Risk Assessment Center for the School of Public Health.

About Synaptic Advisory Partners

Headquartered in Annapolis, MD, Synaptic Advisory Partners  has been developing care, physician and patient management solutions on the Salesforce.com platform since 2008. Their flagship product, Synapse, is a revolutionary solution for organizations looking for a simple, smart and intuitive tool to help lower costs, improve health outcomes and truly engage their patients and care teams.  To learn more, visit http://www.synapsephm.com/our-solutions/.

About Maryland Industrial Partnerships

The Maryland Industrial Partnerships (MIPS) program accelerates the commercialization of technology in Maryland by jointly funding collaborative R&D projects between companies and the University System of Maryland faculty.  MIPS provides funding, matched by participating companies, for university-based research projects that help companies develop new products.  MIPS projects help companies find solutions to technical challenges, as well as develop products, processes or training materials.

MIPS projects are conducted by university faculty and graduate students in conjunction with company researchers.  With more than 400 Maryland companies participating in project awards since 1987, worth over $180 million—MIPS projects create results.  MIPS-supported products have generated more than $25.2 billion in sales, added jobs to the region, and infused state-of-the-art technology into the global marketplace.  To learn more please visit http://www.mtech.umd.edu/mips/.

Read Full Story - Synaptic Wins MIPS Award to Develop Population Stratification Model for Integration into Synapse Platform | More news from this source

Press release distribution by PRLog

Data & News supplied by www.cloudquote.io
Stock quotes supplied by Barchart
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms and Conditions.