BPA Services, LLC (BPAS) excels in specialty fields including Data Sciences and Analytics, Systems Engineering, and Program Management. With a background in delivering accurate, precise, and relevant data in a highly critical environment, BPAS can provide custom software automation solutions to satisfy our client’s core needs. Our core competency lies in our ability to work side-by-side with our clients to solve challenges of varying sizes and complexities.
While supporting the Federal Aviation Administration (FAA) for over 10 years, our engineers and data scientists have designed mission critical systems that analyze trends, data, and systems to forecast and manage risk. Galvanized by our federal clientele success and drawn towards the need for a quality, outcomes and value based C-level management decision friendly software, BPAS launched a flexible and innovative software product, Pulse.
ADDI addresses global healthcare sector challenges of revenue pressures and declining margins. ADDI is designed to be a purely cloud based solution, but can be easily configured into an on premises solution architecture or hybrid architecture.
ADDI consists of every public and private health systems’ sought-after Key Performance Indicators (KPI) that allows executive management to make informed decisions. The AR Management section can be quickly navigated to arrive at a payer based collectivity plan based on smart criteria.
ADDI is developed using a variety of BPAS Corporate Software Application Standards and Methodologies, such as Project Management Institute’s Project Management Body of Knowledge PMI-PMBOK, Carnegie Mellon Software Engineering Institute’s Capability Maturity Model Integration (SEI-CMMI) Maturity Level 3, International Organization for Standards (ISO) ISO-9001, Information Technology Infrastructure Library (ITIL), Agile, Waterfall and hybrid Software Development Life Cycle (SDLC) Methodologies including JAD, RAD, DevOps etc. ADDI is designed to operate with a variety of data connectors and custom data interfaces to hold all the necessary transactional data in a data warehouse through custom business rules and machine learning driven Extract Transform Load process.
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