Healthcare Informatics
We continue to expand on our team’s experience surrounding data management projects with skillsets and deliverables around five pillars of our healthcare informatics service.
J29 views health informatics as a growing and forward-thinking disciplinary field that combines strong research and development methods with innovative technologies to improve government health systems and care outcomes. Combining our technical and clinical expertise, our team is able to provide a diversified health informatics offering to government agencies.
Interoperability and Integrations
Interoperability in our health and human services allows the use of technology to give secure and real-time access to data so that it can be used to improve outcomes for individuals and populations. The J29 team is proud to have some of the most industry-recognized experts, with knowledge on interoperability projects surrounding the CMS Blue Button 2.0 API, New Jersey Health Information Network (NJHIN), Maryland Medicaid Management Information System (MD MMIS) Modernization, and Chesapeake Regional Information System for our Patients (CRISP).
Through our support on interoperable systems, J29 has gained the capabilities to support data exchanges surround the following Health Level 7 (HL7) data transmissions on HL7 Version 2, Version 3, and Fast Health Interoperable Resources (FHIR) standards;
ACK – General acknowledgement
ADT – Admit, Discharge, Transfer
BAR – Add/change billing account
DFT – Detailed financial transaction
MDM – Medical document management
MFN – Master files notification
ORM – Order (Pharmacy/treatment)
ORU – Observation result (unsolicited)
QRY – Query, original mode
RAS – Pharmacy/treatment administration
RDE – Pharmacy/treatment encoded order
RGV – Pharmacy/treatment give
SIU – Scheduling information unsolicited
Data Management
Our team continues to support government missions focused on proper data management, dating back to day one of J29’s inception in 2017. Our data management focus includes oversight into five different stages in the data ecosystem;
Stage 1
Properly capturing and ingesting the data
Stage 2
Cleansing, converting, and cross-walking process
Stage 3
Establishment or maintenance of proper data lakes or warehouses based on data use-cases
Stage 4
Fully functioning query engines to conduct analysis
Stage 5
Having a culture in place to create action from the story that the data is able to tell
As a management consulting company, J29 is regularly tasked with working around various government missions to create, or improve a culture that “lets the data talk”. In order to have an effective data management process, it is imperative for our team to engage with stakeholders to create a culture of listening and understanding the trends that analytics practices have shown.