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Health Information Terminology and Standards Study Guide

This guide explores the foundational concepts of health information terminology and standards essential for modern healthcare systems. It covers the purposes and types of standards, including terminology, format, exchange, and security. Key standards such as ICD-10-CM, SNOMED-CT, CPT, LOINC, RxNorm, and NDC are explained, along with the role of the Unified Medical Language System (UMLS) in integrating these terminologies. The guide also details the importance of interoperability, the function of

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Biomedical Informatics Midterm Exam Review

Biomedical Informatics Practice Questions

Example practice questions covering biomedical informatics, electronic health records, health information exchange, privacy, and health data terminologies.

  • Biomedical Informatics
  • Electronic Health Records
  • Health Information Exchange
  • Privacy and Confidentiality
  • HIPAA
  • Interoperability
  • Health Data Terminologies and Standards
  • UMLS
  • SNOMED CT
  • FHIR
  • RESTful API

Health Information Terminology and Clinical Pharmacogenomics

Health Information Terminology and Standards

This lecture covers types of standards including terminology, format, content, exchange, and security standards used to improve electronic records, interoperability, and secondary use of data.

  • Terminology Standards
  • Nomenclature
  • Hierarchy
  • Ontology
  • Data Models
  • Unified Medical Language System (UMLS)
  • ICD10-CM
  • SNOMED-CT
  • CPT
  • MeSH
  • NDC
  • UCUM
  • CVX
  • Interoperability
  • Office of the National Coordinator for HIT

National Drug Code and RxNav Databases

The sources illustrate searching the National Drug Code Directory for finished drug products and utilizing RxNav to classify amoxicillin through RxCUI, NDC, and RxTerms.

  • National Drug Code (NDC) Directory
  • Finished drug products
  • Nonproprietary Name
  • RxCUI
  • Therapeutic Categories
  • Pharmacologic Classes
  • Amoxicillin

LOINC Codes and Alphabetic Index

  • CBC W Auto Differential panel - Blood
  • Leukocytes [#/volume] in Blood by Automated count
  • Erythrocytes [#/volume] in Blood by Automated count
  • Hemoglobin [Mass/volume] in Blood
  • Hematocrit [Volume Fraction] of Blood by Automated count
  • MCV [Entitic mean volume] in Red Blood Cells by Automated count
  • MCH [Entitic mass] by Automated count
  • MCHC [Entitic Mass/volume] in Red Blood Cells by Automated count
  • Erythrocyte [DistWidth] in Blood by Automated count
  • Platelets [#/volume] in Blood by Automated count
  • Platelet distribution width [Entitic volume] in Blood by Automated count
  • Platelet [Entitic mean volume] in Blood by Automated count
  • Neutrophils/Leukocytes in Blood by Automated count
  • Band form neutrophils/Leukocytes in Blood by Automated count
  • Granulocytes/Leukocytes in Blood by Automated count
  • Lymphocytes/Leukocytes in Blood by Automated count
  • Variant lymphocytes/Leukocytes in Blood by Automated count
  • Monocytes/Leukocytes in Blood by Automated count
  • Homeopathic potency
  • Cell culture infectious dose

Vaccine Data Code Sets and Information

This document contains vaccine data code sets including NDC, CVX, and MVX codes for immunization information.

  • NDC11
  • Sale GTIN
  • CVX Code
  • CVX Description
  • MVX Code
  • Vaccine Data Code Sets
  • Immunization Information
  • DTAP
  • MMR
  • HepB
  • Pneumococcal conjugate vaccine

Pharmacogenomics and Personalized Medicine Implementation

This lecture introduces personalized medicine and pharmacogenomics concepts, discussing clinical decision support, implementation barriers, and actionable genetic results.

  • Personalized medicine
  • Pharmacogenomics (PGx)
  • Clinical Decision Support
  • Drug metabolism
  • Genomic variation
  • Clinical Pharmacogenetics Implementation Consortium (CPIC)
  • FDA labeling guidelines
  • Actionable PGx results
  • Implementation barriers
  • CYP2D6
  • DPYD

Pharmacogenomics and Drug Metabolism

Pharmacogenetics illustrates how CYP2D6 and CYP2C19 metabolism impacts drug metabolism and clinical outcomes for medications like codeine, tramadol, and clopidogrel.

  • CYP2D6 metabolism
  • CYP2C19 metabolism
  • Pharmacogenetics
  • Ultra-rapid metabolizer
  • Intermediate metabolizer
  • Poor metabolizer
  • Codeine toxicity
  • Tramadol effectiveness
  • Clopidogrel effectiveness
  • HLA-B*57:01
  • Adverse events
  • Cerebrovascular disease treatment

HLA-B*57:01 Testing and Abacavir Sensitivity

HLA-B*57:01 allele testing is used to predict abacavir hypersensitivity risk in patients treated for HIV.

  • HLA-B*57:01
  • Abacavir hypersensitivity reaction
  • Nucleoside reverse transcriptase inhibitor (NRTI)
  • Pharmacogenomics
  • Abacavir contraindication
  • HIV treatment
  • Antiretroviral prophylaxis

DPYD Metabolism and Fluorouracil Treatment

DPYD genetic testing is required prior to 5-fluorouracil or capecitabine initiation to prevent serious adverse reactions or death in patients with DPD deficiency.

  • DPYD metabolism
  • 5-fluorouracil
  • capecitabine
  • DPYD genotype testing
  • DPD deficiency
  • pharmacogenomics
  • adverse reactions
  • neutropenia
  • mucositis
  • diarrhea

Overview of Health IT Terminology Standards

This overview covers terminology standards including International Classification of Diseases (ICD), Systemized Nomenclature of Medicine - Clinical Terms (SNOMED-CT), Logical Observation Identifiers and Codes (LOINC), and Unified Code for Units of Measure (UCUM).

  • International Classification of Diseases (ICD)
  • ICD-10-CM
  • Systemized Nomenclature of Medicine - Clinical Terms (SNOMED-CT)
  • SNOMED CT US Edition
  • Pre-coordinated term
  • Post-coordinated term
  • SNOMED CT
  • LOINC parts
  • Unified Code for Units of Measure (UCUM)
  • National Drug Code (NDC)
  • Vaccine Administer Codes (CVX)
  • Current Procedure Terminology (CPT)

Health Information Terminology Standards Overview

An overview of clinical terminology standards including RxNorm, NDC, CVX, CPT, ICD-10, SNOMED CT, LOINC, and UCUM used for exchanging medication, vaccine, and medical procedure information.

  • medication terminology
  • National Drug Code (NDC)
  • CVX vaccine administration codes
  • Current Procedure Terminology (CPT)
  • ICD-10 disease classification
  • SNOMED CT diagnosis
  • laboratory tests and clinical observations
  • UCUM units of measure
  • Terminology mapping

Biomedical Informatics and Evidence-Based Medicine

Practice questions covering electronic health records, clinical decision support, interoperability, medical terminologies, and evidence-based medicine study types.

  • Document, encounter, and episode of illness
  • Electronic Health Records (EHR)
  • E-Prescription
  • Clinical Decision Support
  • Interoperability pathways
  • UMLS
  • CRISP
  • Evidence-Based Medicine (EBM)
  • Prospective and Retrospective cohorts
  • Bias
  • Pathophysiologic reasoning
  • Study hierarchy

EHR Systems and Pharmacogenomics Overview

An exploration of OpenMRS electronic health record features, EHR implementation challenges, and the principles of pharmacogenomics.

  • OpenMRS reference application
  • Electronic Health Records (EHR)
  • Patient demographics
  • Clinical observations
  • Vitals capture
  • Interoperability
  • FHIR-compliant platforms
  • Pharmacogenomics
  • Pharmacokinetics
  • Pharmacodynamics
  • Drug response variation

Clinical Pharmacogenomics and Personalized Medicine

This content explores how monogenic, polygenic, and polymorphic variations influence drug metabolism and response to facilitate personalized medicine through clinical pharmacogenomic resources.

  • Monogenic diseases
  • Polygenic diseases
  • Polymorphic variants
  • Pharmacogenomics (PGx)
  • Personalized medicine
  • Drug metabolism
  • Genotype-based drug prescribing guidance
  • Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines
  • Gene-drug associations
  • Phenotypic variability
  • Warfarin dosing
  • PharmDOG

Ethics, Privacy, and Consent in Biomedical Informatics

Privacy, Consent, and HIPAA Ethics

  • Ethics in biomedical informatics
  • Privacy and security
  • Protected Health Information (PHI)
  • HIPAA

Privacy, Consent, and HIPAA in Biomedical Informatics

This guest class explores ethics, health data privacy, HIPAA, anonymization, informed consent, and the framework of contextual integrity.

  • ethics
  • health data privacy
  • HIPAA
  • anonymization
  • informed consent
  • contextual integrity
  • normative register
  • biomedical informatics

Health Data Privacy and HIPAA

An overview of health data privacy history, HIPAA regulations, protected health information, and the ethical implications of anonymization and re-identification attacks.

  • Health data privacy
  • Hippocratic oath
  • Health Information Management
  • Electronic Medical Records
  • Belmont Report
  • Electronic Health Records
  • HIPAA
  • Protected health information (PHI)
  • Electronic PHI (ePHI)
  • Administrative, physical, and technical safeguards
  • Research Health Information (RHI)
  • Anonymization
  • Re-identification attacks
  • Linkage attacks
  • Differencing attacks
  • Pseudonymity
  • Unreachability

Principles and Challenges of Meaningful Consent

Meaningful consent requires adequate awareness or understanding and an unforced willingness to accept consequences, despite challenges like the transparency paradox and logical entailment.

  • Meaningful consent
  • Transparency paradox
  • Logical entailment
  • Informed consent principles
  • Cognitive vulnerability
  • Psychological and emotive vulnerability
  • Relational and social vulnerability
  • Material capacity vulnerability
  • Autonomy

Contextual Integrity and Privacy Frameworks

A new privacy framework explores contextual integrity and appropriate information flow through the study of context and norms.

  • contextual integrity
  • appropriate information flow
  • context
  • norms
  • descriptive norms
  • normative norms
  • data type
  • data subject
  • data sender
  • data recipient
  • data transmission principle
  • privacy violations

Evidence-Based Medicine, Quality, and Informatics

Quality and Medical Informatics

Defining quality, domains of quality, and the interactions between evidence based medicine, quality, and informatics.

  • Quality definition
  • Health Information Technology
  • Evidence based medicine
  • Patient safety

Medical Error and Quality Improvement

Analysis of medical error types, drug related errors, and approaches to continuous quality improvement processes.

  • Medical error
  • Error of execution
  • Error of planning
  • Diagnosis error
  • Drug related errors
  • Outpatient errors
  • Complexity
  • Continuous Quality Improvement Process (CQI)
  • Quality measurement

Quality Assurance and Biomedical Informatics

The study of biomedical data, information, and knowledge to improve human health through quality assurance, payment for performance, and health information technology.

  • Payment for Performance (P4P)
  • Triple Aim framework
  • Biomedical Informatics
  • Electronic Health Records (EHR)
  • Computerized Physician Order Entry (CPOE)
  • Clinical Decision Support
  • Quality indicators
  • Patient safety
  • Medical errors
  • Diabetes management

Physician Quality Assurance and Technology Integration

Future physician payments involve quality reporting and performance models while technology and AI impact clinical decision support and quality improvement.

  • Physician payment models
  • Meaningful use of health IT
  • Medicare Physician Quality Reporting System (PQRS)
  • Pay for Performance (P4P)
  • Accountable Care Organizations
  • Merit-based Incentive Payment System (MIPS)
  • Artificial Intelligence in Clinical Decision Support
  • Continuous Quality Improvement (CQI) techniques
  • Medication errors

Introduction to Evidence-Based Medicine

Define evidence-based medicine, describe the EBM process, and explain the DIKW pyramid concept from data to wisdom.

  • Evidence-based medicine (EBM)
  • EBM process
  • DIKW pyramid
  • Data
  • Information
  • Knowledge
  • Wisdom
  • Case Report
  • Case Series

Epidemiologic Studies and Causality Principles

The study of the determinants of the distribution of disease in populations through epidemiologic studies, microbiologic causation, and pathophysiologic reasoning.

  • Epidemiologic Studies
  • Case Control
  • Cohort Studies
  • Prospective Cohort
  • Retrospective Cohort
  • Bias
  • Microbiologic Causation
  • Pathophysiologic Reasoning

Principles of Evidence-Based Medicine

Evidence-based medicine is the conscientious, explicit, and judicious use of current best evidence, clinical expertise, and patient preferences in making decisions about the care of individual patients.

  • Evidence-Based Medicine (EBM)
  • Randomized Controlled Trials (RCTs)
  • Meta-analysis
  • Hierarchy of Study types
  • Cost-Effectiveness Analysis
  • Clinical Guidelines
  • Network meta-analysis
  • Clinical decision making

The Evidence Based Medicine Process

The EBM process involves asking a clinical question, searching literature, critically evaluating medical literature, and applying findings to your patient.

  • EBM process
  • Clinical question
  • Background question
  • PICO
  • Population
  • Intervention
  • Comparison
  • Search literature
  • Critically evaluate medical literature
  • Journal club
  • Apply to patient
  • Joint decision-making approach

Evidence Based Medicine and Information Mastery

Information mastery modifies and incorporates evidence based medicine into usable forms using patient oriented evidence and disease oriented evidence.

  • Information mastery
  • Disease oriented evidence
  • Patient oriented evidence
  • Strength of recommendation taxonomy (SORT)
  • Clinical decision support
  • Evidence based medicine and AI
  • Retrieval augmented generation (RAG)
  • Personalized medicine

Biomedical Informatics Quality and Personalized Medicine

Questions regarding medicine quality, medical errors, personalized medicine, pharmacogenomics, and EHR usability.

  • Quality in medicine
  • Medical errors
  • Continuous Quality Improvement (CQI)
  • Personalized medicine
  • Precision Medicine
  • Pharmacogenomics (PGx)
  • Pharmacogenetics
  • CPIC
  • Secondary findings
  • Human factors
  • Usability
  • CPOE

EHR Usability and Patient Safety

This presentation explores EHR usability and patient safety through accident causation models, cognitive task support, and clinical informatics interventions.

  • Accident Causation Pyramid
  • SRK Model
  • Knowledge-Based behavior
  • Rule-Based behavior
  • Skill-Based behavior
  • Slips and Lapses
  • EHR Usability
  • User Interface Design
  • Cognitive Task Support
  • Clinical Informatics
  • Iatrogenic Injury

EHR Usability and Safety Metrics

A summary of usability and safety metrics including task duration, clicks, and error rate for various EHR functions and lab values exercises.

  • Usability and safety metrics
  • Task duration
  • Clicks
  • Error rate
  • Cognitive Load
  • Lab Values

EHR Usability and Clinician Safety

Clinicians can control EHR interruptions and minimize multitasking to improve health IT safety.

  • EHR interruptions
  • Minimize multitasking
  • Workflow
  • Proactive communication
  • Health IT safety
  • Accident reconstruction

Foundations and Evolution of Biomedical Informatics

Roles in Health Informatics

Health informatics professionals perform clinical data analysis, population health insights, and data visualization to support decision making.

  • Biomedical data analysis
  • Data visualization
  • Population health analytics
  • Clinical informatics
  • Healthcare IT

Georgetown Medical Center Case Study

A hypothetical case study involving a Health Informatics Specialist responsible for producing a Monthly Inpatient Activity Report using electronic health record data warehouse information.

  • Health Informatics Specialist
  • Monthly Inpatient Activity Report
  • Clinical Informatics & Decision Support
  • Electronic health record data warehouse
  • Hospital leadership reporting
  • District Public Health Office reporting
  • Aggregate reporting
  • Small-cell suppression
  • Documented exclusions
  • HIPAA policies

EHR History and ONC Role

A history of EHR evolution and the ONC's role in making terminology and access to the EHR uniform.

  • History of EHR
  • Problem oriented medical record
  • Problem Oriented Encounter Note
  • Medical Info System
  • ONC's Role
  • Interoperability
  • Information sharing
  • HITECH Act 2009
  • Meaningful use program

EHR Education and Socio-Technical Models

Policy implementations to teach students early and become familiar with tech during the transition to EHR.

  • EHR transition
  • Socio-Technical Model
  • Programming Interface (API)
  • Tech adoption

Introduction to Biomedical Informatics

The evolution of biomedical informatics from paper-based medical records to integrated information management environments and electronic health records.

  • biomedical informatics
  • integrated information management environments
  • electronic health records
  • clinical informatics
  • health informatics
  • information revolution
  • decision support
  • clinical terminology standards
  • data privacy and security
  • systems integration

EHRs and Learning Health Care Systems

Electronic health records support clinical trials and the development of a learning health care system through integrated information and communications technology.

  • electronic health records
  • clinical trials
  • learning health care system
  • disease surveillance
  • telemedicine
  • biomedical informatics
  • data integration
  • health information technology
  • HIPAA-compliant policies

Defining Biomedical Informatics and Related Disciplines

The text explores the evolution and definition of biomedical informatics as an interdisciplinary field studying the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making.

  • biomedical informatics
  • biomedical data, information, and knowledge
  • medical informatics
  • health informatics
  • bioinformatics
  • biomedical computing
  • decision making
  • information science
  • cognitive science
  • human health improvement

History and Evolution of Biomedical Computing

A historical perspective on the development of computing technologies, from early punched-card data-processing to the evolution of hospital information systems and microprocessors in biomedicine.

  • Biomedical informatics
  • Punched-card data-processing
  • Hospital information systems (HIS)
  • Monolithic design
  • Distributed HIS
  • Minicomputers
  • Microprocessors
  • Personal computers (PC)
  • National Library of Medicine (NLM)

Foundations of Biomedical Informatics Science

Biomedical informatics is a basic science discipline that melds the study of data, information, knowledge, decision making, and supporting technologies with analyses of biomedical information and knowledge.

  • biomedical informatics
  • basic research
  • applied research
  • clinical informatics
  • public health informatics
  • imaging informatics
  • bioinformatics
  • health informatics
  • information management
  • decision making
  • translational research

Nature and Scope of Biomedical Informatics

Biomedical informatics is an inherently multidisciplinary field that integrates computer science, decision sciences, and cognitive science to manage biomedical information and knowledge.

  • biomedical informatics
  • bioinformatics
  • clinical informatics
  • public-health informatics
  • imaging informatics
  • pharmacogenomics
  • medical decision making
  • biomedical engineering
  • computer science
  • high-level descriptions
  • low-level sciences
  • information management
  • clinical practice integration

Introduction to Biomedical Informatics

A field that studies and pursues use of biomedical data, info and knowledge for a variety of reasons.

  • Bioinformatics
  • Imaging Informatics
  • Clinical Informatics
  • Consumer Health Informatics
  • Mobile Health
  • Evidence Based Medicine
  • Quality Improvement
  • Patient Safety
  • Plan, Do, Study, Act (PDSA)
  • Interoperability
  • Artificial Intelligence
  • Expert Systems
  • Social Determinants of Health
  • Political Determinants of Health

AI and Human-AI Collaboration

This topic explores a learning biomedical ecosystem that optimizes human–AI collaboration through interconnected, isolated systems and sociotechnical principles.

  • Human-AI collaboration
  • Learning Public Health System
  • Autonomous and Semiautonomous Agents
  • Generative AI
  • Adaptive and continual learning
  • Human-AI Training
  • Biomarker and Therapeutic Agent Discovery
  • Public Health Learning Loops
  • Algorithmovigilance
  • Bias Amplification
  • Automation Bias

EHR Key Tasks and Uses

A walk-through of the key tasks of using an EHR, interoperability, and just-in-time information retrieval.

  • Electronic Health Record (EHR)
  • Medical encounters
  • Clinical care
  • Patient engagement
  • Administrative and operational uses
  • Public health
  • Interoperability and data exchange
  • Research and education
  • Clinical decision support
  • Health Information Exchange (HIE)
  • Data security
  • Population health analytics

Health Data Interoperability and Informatics Standards

Healthcare Interoperability and Data Standards

This topic covers format and content standards, exchange and security standards, and various standards development organizations used for nationwide, interoperable health information exchange.

  • Format and Content Standards
  • United States Core Data for Interoperability (USCDI)
  • Fast Healthcare Interoperability Resources
  • Data Standardization
  • Exchange Standards
  • Security Standards
  • HL7 (Health Level Seven)
  • Logical Observation Identifiers Names and Codes
  • SNOMED International
  • International Classification of Diseases (ICD)
  • NCPDP (National Council of Prescription Drug Programs)
  • OMOP Common Data Model
  • Observational Health Data Sciences and Informatics

Preparing Electronic Health Record Data

Prepare real electronic health record data for analysis in R and evaluate datasets against health data standards.

  • electronic health record data
  • R
  • linked tables
  • Quarto
  • ICD
  • OMOP CDM
  • aggregate-only reporting
  • small-cell suppression
  • population-level public health information

Clinical Informatics and Health Data Standards

Clinical informatics combines data recorded across registration, care delivery, diagnostics and follow-up using vocabularies, exchange formats, and models.

  • Point of Care data
  • Clinical informatics
  • Health data standards
  • Vocabularies
  • Exchange formats
  • Data models
  • ICD
  • SNOMED CT
  • UCUM
  • C-CDA
  • FHIR
  • OMOP CDM
  • USCDI
  • Patient-level data categories
  • Data provenance
  • Healthcare interoperability
  • Data integration
  • Electronic health record
  • Clinical data warehouse

Secure Data Processing and Public Health Informatics

Data processing turns raw records into trusted information through a secure lifecycle involving environment setup, data preparation, analysis, validation, and archiving.

  • Secure data processing lifecycle
  • Data governance
  • Data de-identification
  • Reproducible pipelines
  • Public health informatics priorities
  • Health data aggregation
  • Epidemiologic surveillance
  • Data-quality governance
  • Cybersecurity
  • Regulatory compliance

Private Sector Health Data Utilization

Private sector organizations use authorized health data to improve products, services, safety, and population outcomes.

  • Health insurers and payers
  • Pharmaceutical companies
  • Biotechnology companies
  • Diagnostics and laboratories
  • Medical devices and digital health
  • Health IT, cloud and AI vendors
  • CROs and health-data companies
  • Pharmacies, PBMs and retail health
  • Common informatics roles
  • Data fields and categories

Visualizations for Public and Private Health Data

This content explores various visualizations for public-health data and private-sector health data, including epidemic intelligence tools for outbreak response.

  • public-health data visualizations
  • private-sector health data visualizations
  • epidemic curve
  • transmission network
  • phylogenetic tree
  • case-burden map
  • descriptive table
  • epidemic intelligence
  • genomic epidemiology
  • R ggplot2 functions

Clinical Decision Support and Quality Improvement

Electronic health records and clinical decision support software help improve care and outcomes through reminders, alerts, and measurement.

  • Clinical Decision Support
  • Electronic Health Record
  • Quality Improvement
  • Primary Evidence
  • Secondary Evidence
  • Measurement and Reporting
  • Diabetes Care

Health Data Standards and Terminologies

An overview of health IT strategy, interoperable nationwide health IT infrastructure, and federal health IT legislation.

  • Health Data Standards and Terminologies
  • Office of the National Coordinator for Health Information Technology (ONC)
  • Interoperable nationwide health IT infrastructure
  • HITECH Act 2009
  • 21st Century Cures Act 2016
  • EHR certification
  • Information blocking
  • APIs
  • USCDI
  • Trusted Exchange Framework and Common Agreement

Interoperability and Health Data Standards

Data interoperability in health care requires terminology, exchange, and security standards to enable the secure exchange and use of electronic health information.

  • Interoperability of Health Data
  • Health Data Standards
  • Terminology Standards
  • Exchange Standards
  • Health Information Networks
  • EHR Certification Program
  • Terminology vs Ontologies
  • Value set
  • Semantic integrity
  • Syntax
  • Transport
  • Security
  • Cures Act

Healthcare Content Exchange and Interoperability Standards

This topic covers categories of standards including terminology, syntax, transport, and security, alongside specific content exchange standards like SCRIPT, X12, HL7 Version 2, C-CDA, and FHIR.

  • Terminology semantics
  • Syntax format and structure
  • Transport and security standards
  • SCRIPT electronic prescribing standard
  • HL7 Version 2 messaging
  • Clinical Document Architecture (CDA)
  • Consolidated Clinical Document Architecture (C-CDA)
  • Fast Healthcare Interoperability Resources (FHIR)
  • REST API
  • JSON and XML data structures

FHIR API Standard and Structure

  • FHIR API Standard
  • RESTful API Operations
  • HAPI FHIR
  • FHIR Data Structure
  • Patient Resource
  • Search Parameters
  • FHIR Resources
  • Profiles
  • Implementation Guides
  • US Core Implementation Guide
  • Healthcare Interoperability

Health Information Networks and TEFCA

This topic covers health information networks, the 21st Century Cures Act, and the Trusted Exchange Framework and Common Agreement (TEFCA) to facilitate nationwide interoperability.

  • Health Information Networks
  • Nationwide Health Information Network (NHIN)
  • eHealth Exchange
  • CommonWell
  • Carequality
  • State Health Information Exchanges (HIEs)
  • 21st Century Cures Act
  • Recognized Coordinating Entity (RCE)
  • Office of the National Coordinator for Health IT (ONC)
  • Information blocking
  • Interoperability
  • FHIR API

Health IT Standards and Government Programs

This topic covers the ONC Health IT Certification Program, USCDI data standards, and key government programs driving interoperability and health information exchange.

  • ONC Health IT Certification Program
  • United States Core Data for Interoperability (USCDI)
  • USCDI+ initiatives
  • FHIR API-based Electronic Prior Authorization
  • SMART Health Cards
  • SMART Health Links
  • HITECH Act
  • 21st Century Cures Act
  • Promoting Interoperability Programs
  • CMS Interoperability and Patient Access Final Rule

Understanding Application Programming Interfaces and RESTful APIs

Application Programming Interfaces serve as a doorway to data, enabling client-server communication and programmatic data access through protocols like HTTPS and structured formats like JSON.

  • Application Programming Interface (API)
  • Client-server communication
  • 21st Century Cures Act
  • FHIR API
  • Information blocking
  • RESTful API
  • Representational State Transfer
  • HTTP(s) protocol
  • Javascript Object Notation (JSON)
  • Geocoding
  • Search parameters

Biomedical Informatics Practice Questions

Example practice questions covering biomedical informatics, electronic health records, health information exchange, privacy and confidentiality, and health data terminologies and standards.

  • Biomedical Informatics
  • Bioinformatics
  • Imaging Informatics
  • Clinical Informatics
  • Public Health and Consumer Informatics
  • Electronic Health Records (EHR)
  • Health Information Exchange (HIE)
  • Affordable Care Act
  • HITECH Act
  • USCDI
  • Information blocking
  • HIPAA
  • Protected Health Information (PHI)
  • Research Health Information (RHI)
  • Privacy Principles
  • Meaningful consent
  • Transparency Paradox
  • Contextual integrity
  • Interoperability
  • 21st Century Cures Act

Health IT and Data Interoperability Standards

This lesson covers the Office of National Coordinator for Health Information Technology, health data interoperability, and various terminology and exchange standards used to advance national healthcare goals.

  • Office of National Coordinator for Health Information Technology (ONC)
  • HITECH Act
  • 21st Century Cures Act
  • Interoperability of Health Data
  • Terminology Standards
  • Ontology
  • Value Set
  • ICD-10
  • SNOMED-CT
  • UCUM
  • National Drug Code (NDC)
  • Vaccine Administer Codes (CVX)
  • Current Procedure Terminology (CPT)
  • Exchange Standards
  • SCRIPT
  • X12
  • HL7 Version 2
  • CDA (clinical document architecture)
  • Fast Healthcare Interoperability Resources (FHIR)
  • C-CDA

Health Information Technology and Interoperability

Extensible Markup Language and Fast Healthcare Interoperability Resources facilitate machine readability and connectivity to improve patient care through the 21st Century Cures Act.

  • Extensible Markup Language (XML)
  • Fast Healthcare Interoperability Resources (FHIR)
  • API
  • Health Information Networks
  • EHR Certification Program
  • 21st Century Cures Act
  • Nationwide interoperability

Make it your own.

Keep these readings and topics in a new study set, or add them to one you already use.