A list of FHIR data tools to assist in accurate, consistent, secure, and timely implementations of the FHIR healthcare interoperability standard.

A Medical Code Embedding is a data science tool used for achieving numerous downstream prediction tasks.

X12 EDI is the earliest mainstream digital medical standard, used for medical claims in the payer portion of the healthcare industry.

An HL7 FHIR Graph Database is a graph database, like neo4j, built for the advanced modeling and analysis of FHIR data.

Healthcare fraud, waste, and abuse AI is the use of AI to detect bad actors collecting for services that are either non-existent or exaggerated.

An EMR / EHR is a digital tool that permits patient medical data to be stored, as opposed to traditional paper medical records.

AI/NLP Form processing is the use of NLP to parse and validate the contents of a form for processing, digitization, or sorting.

The concept of AI making healthcare decisions from patient healthcare data sources is difficult to accept, driven by a paradox driven by two statements.

Pharmacovigilance NLP is the use of natural language processing in the detection of adverse drug events.

A prior authorization is an approval from a health plan, required before specialized services or medications are provided to ensure that they can be paid for.

Prior authorization NLP (or “prior auth NLP“) is the use of language processing in the assistance of expediting prior authorization.

Medical record summarization NLP is the task of using language processing to quickly represent the content of a medical record.

Disability NLP is the use of NLP to detect evidence of disability in structured and unstructured medical records.

Summarization remains the highest utility of healthcare LLM AI. We cover expected developments in 2025 from most to least significant for the healthcare domain.

HIPAA compliant medical record deidentification NLP is the use of NLP to safely remove protected health information (PHI) from a data asset.

SDoH NLP is the use of NLP to detect aspects of patients that are peripheral to their medical status but have a large impact on their wellbeing.

Healthcare interoperability is the ability to transmit and receive healthcare data in a frictionless and secure manner between healthcare participants.

Risk adjustment is component of the US health economy whereby federal resources are distributed to health plans based on membership quantity and attributes.

HEDIS NLP is the use of NLP for HEDIS/Quality, where plans are rewarded for providing preventative checkups for patients based on their age and gender.

CQL stands for Clinical Quality Language - a SQL-style query language used for calculating HEDIS measure performance metrics.