Advanced Machine Learning
provides businesses with:
Evaluate system performance and forecast trends that support better business decisions
Increased productivity, decreased overhead costs, and optimize resource allocation
Create or upgrade enterprise information models and data catalogs
How We Approach
AI, ML, and NLP
Streamline data and metadata pipelines
Design and implement data preparation protocols for ingestion by AI/ML tools
Train, tune, test, validate, and deploy models
AI, ML, and NLP Success Stories
NLP-based analysis for predictive policy changes
The policies of a U.S. federal agency are driven by the laws enacted by Congress. Amida helped to research how a Natural Language Processing (NLP)-based analysis can predict policy changes that depend on enacted laws. This research has potential applications in various other fields where new legislation can lead to unforeseen effects on policies.
Semantic Similarity Engine
A Service Treatment Record (STR) chronicles a Veteran’s health history. When a Veteran submits a list of medical issues with their claim, a Veteran service representative must review the entire STR archive to find in-service events associated with the claim. We used NLP to identify the occurrence of medical problems efficiently and reliably from in-service events in STRs. Our Semantic Similarity Engine (SSE) can map claimed problems to in-service events, which reduces both incorrect decisions and the time required for the distribution of benefits to Veterans.
Your Team of Experts in AI, ML, and NLP
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Descriptive and predictive analytics
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Business models and rules engines
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Data integration
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Data curation and refinement
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Data quality
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Metadata management
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Anomaly detection and remediation
Technologies We Utilize
Discover. Transform. Integrate.
Beyond AI, ML, and NLP Solutions
Want to Join a Growing Team of
Data Experts?
Join a team that believes in the power
of collaboration and teamwork.
Clients’ FeedbackAmida successfully built a proof-of-concept harmonization engine that identifies and intelligently weights the likelihood of duplicate matching patient records.
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Clients’ FeedbackThis application helps our client maximize the utility of their data assets, eliminating the need to chase charts.
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Clients’ FeedbackAmida’s Indaba platform enables our world-wide team of experts to gather research data and supports their efforts to arrive at consensus.
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Clients’ FeedbackAmida’s expertise in payer and provider data management enabled their team to complete the mapping with only moderate guidance from my team.
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Clients’ FeedbackAmida delivers deep subject matter expertise at the intersection of emerging technology standards.
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Clients’ FeedbackAmida helped the NYS OMH to successfully deploy the VA’s open source EHR/EMR (VistA) across its 24 inpatient psychiatric hospitals and hundreds of clinics throughout the State.
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Clients’ FeedbackWe value our relationship with Amida and actively seek opportunities to partner for health data services as this level of performance is rare.
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Resources on
Data Management
Amida Chosen for Inclusion in North Carolina’s Department of Health and Human Services Agreement to Advance AI and ML
Amida joins select vendor pool to design and implement best-in-class solutions for Medicaid
CMS Selects Amida as a Finalist in the Crushing Fraud Chili Cook-Off Competition
Amida’s graph-based approach transforms Medicare Fee-for-Service claims data into transparent, audit-ready indicators of potential fraud.
Peter Clyne Joins Amida Board of Directors
Peter Clyne Joins Amida Board of Directors