J P SYSTEMS CORPORATE CAPABILITIES

Conquer the ever-changing challenges of Healthcare IT electronic records systems and clinical data! Be a globally connected change maker as you navigate the complex Health IT ecosystem of vendors, payers, providers, legacy systems, and regulators. Whatever the complexities, we will work to understand your challenges, map out a plan, and achieve your goals.

Our extensive staff of Subject Matter Experts (SMEs) includes Healthcare Informatics experts, Clinical Terminologists, Clinical Data Quality, Data Scientists, Data Standards, Health Systems Specialists, HL7 standards experts, Enterprise and Data Architects, and Business Analysts.

Jackie Mulrooney, President and founder of J P Systems, is a Computer Scientist with a degree from Colgate U. with over 40+ years of IT consulting experience. Ms. Mulrooney manages operations across the departments and casts the vision for the future, aligning priorities with our core principles of serving the private and public healthcare ecosystems with best practices.

Galen Mulrooney, FHL7, Executive Vice President of J P Systems, has over 35+ years of Enterprise Healthcare IT consulting experience and manages our technical teams. As an internationally known HL7 healthcare data standards sage and a clinical data modeling Subject Matter Expert, he is a trusted advisor to the VHA and HHS ONC. He supports clients with Interoperability and Data Standardization needs.

Our carefully selected teams of subject matter experts engage with your staff to perform professional Healthcare IT system, data and business analysis services.

To date, we have been awarded $101 million in Federal Health IT contracts. We have successfully completed 52 Task Orders for the U.S. Department of Veteran Affairs, including clinical reference terminologies, HL7 data standards consulting, clinical data quality improvement, Health Information Exchange (HIE) management, network analysis, enterprise and data architecture, legacy system migrations, stakeholder engagement, communication plans, standardization of data, and clinical data interoperability.