J

J P Systems, Inc.

@jp_systems_2

Clifton, VA
https://jpsys.com/
IT Services and IT Consulting

Overview

About J P Systems, Inc.

J P Systems specializes in Healthcare IT enterprise solutions. We develop requirements and perform interoperability planning for clinical data. We help clients share patient data between different healthcare providers. We provide a full range of medical terminology consultations, including the use of reference data such as SNOMED CT. We assist VHA hospitals with enterprise integration for data interchange. We support the Health and Human Services' Office of the National Coordinator office, VHA and have supported NIH's National Cancer Institute (NCI) and NIDDK.

J P Systems specializes in national HIT requirements analysis. From our work on the VHA Veteran's Health Information Exchange system, J P Systems personnel are experienced in the use of the Consolidated C-CDA specification required by Meaningful Use. In addition, we are familiar with the C32 enhancements requested by SSA and the requested enhancements to VAP. Our personnel worked with HITSP and ONC to develop the standards (as part of our support of the VHA Standards and Interoperability program), and have hands-on experience implementing them. Importantly, due to our support of the VHIE Business Service Interoperability Specifications project, we are familiar with how the VHIE interacts with other VA systems (such as VistA and the VPR extract), and the business needs behind the VLER program.

Improve your health data exchange at (703) 815-0900

or book your free consultation at https://jpsys.com/

Headquarters

Clifton, VA

Website

https://jpsys.com/

Company Size

51-200 employees

Industry

IT Services and IT Consulting

Company Type

Privately Held

Founded

1983

Specialties

Healthcare IT, UML Modeling, business process analysis, Business Architecture, requirements analysis, HL7, Medical Terminologies, Process Analysis, Interoperability, Business Logic, Stakeholder Engagement, Meaningful Use, SNOMED CT, medical informatics, healthcare IT, data quality, Clinical terminologies, Data standards, Information Modeling, data quality, clinical data management, and FHIR

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