Health Informatics: Computer Architectures, Standards, EHRs, and Artificial Intelligence

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Comprehensive practice flashcards detailing key terminology across computer and network architectures, healthcare standards, EHR implementations, and medical data science/AI.

Last updated 12:12 AM on 10/13/26
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57 Terms

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Moore's Law

The observation that computer processing speed, capacity, and cost efficiency double approximately every 18 months.

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Central Processing Unit (CPU)

The primary component of a computer that executes program instructions and processes data, with speed measured in clock cycles per second (Hertz) and floating-point instructions per second (FLOPS).

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Random Access Memory (RAM)

The temporary, working memory of a computer system that holds active programs and data but is lost when power is turned off.

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Application Programming Interface (API)

A standardized set of specifications and protocols that enables different software applications to communicate and exchange data across networks.

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Database Management System (DBMS)

A specialized software application that houses, organizes, extracts, and manipulates data within a database.

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Open Source Software

Software provided with freely accessible, shareable, and modifiable source code, such as Linux, Apache, Mozilla, and OpenOffice.

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IPv4

An Internet Protocol addressing standard utilizing a 32-bit address format expressed as four decimal numbers separated by dots (e.g., 66.94.29.13).

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IPv6

An Internet Protocol addressing standard utilizing a 128-bit hexadecimal address format developed to replace the depleted address pool of IPv4.

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Transmission Control Protocol (TCP)

A core, connection-oriented network protocol that ensures packets reach their destination in sequence, resending dropped or damaged packets.

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User Datagram Protocol (UDP)

A lightweight, connectionless transport protocol that does not guarantee delivery or packet order, commonly used for time-sensitive transmissions such as live streaming video.

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Network Switch

A networking device that directs incoming data packets specifically to intended recipient devices at full bandwidth, operating like a traffic controller rather than broadcasting to all ports.

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Wide Area Network (WAN)

A telecommunications network that spans a large geographical region to interconnect distant computers and local networks.

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Personal Area Network (PAN)

A short-range network typically centered around a single person to link devices such as smartphones, computers, and wearables (commonly using Bluetooth).

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Virtual Private Network (VPN)

A technology that employs encrypted tunneling protocols over public networks like the Internet to provide secure remote access to a private organizational network.

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Standard (ISO Definition)

A documented agreement established by consensus and approved by a recognized body that provides rules, guidelines, or characteristics for activities or their results for repeated and common use.

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Interoperability (IEEE Definition)

The ability of a system or product to work with other systems or products without special effort on the part of the user, enabled by common standards.

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Semantic Interoperability (Level 4)

The highest level of interoperability, where messages contain standardized, coded data that can be automatically interpreted and processed computationally by receiving systems.

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Duplicate Record

A health record integrity error that occurs when more than one distinct medical record is created and maintained for a single patient.

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Overlaid Record

A health record integrity error that occurs when data from more than one individual is mistakenly combined into a single patient record.

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National Provider Identifier (NPI)

A unique identification number assigned to healthcare providers in the United States, required by CMS to process Medicare and Medicaid claims.

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ASC X12N

The standard electronic data interchange (EDI) format mandated under HIPAA administrative simplification rules for healthcare business and claims transactions.

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Health Level Seven (HL7) International

A standards development organization dedicated to clinical and administrative data transmission, named after the seventh layer (Application Layer) of the OSI model.

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Clinical Document Architecture (CDA)

An HL7 document markup standard that uses XML to define the structure and metadata of clinical documents so they are both human-readable and machine-computable.

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Extensible Markup Language (XML)

A standardized data packaging and content language that wraps data in nested, descriptive tags and elements to facilitate cross-platform data exchange.

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Fast Healthcare Interoperability Resources (FHIR)

A modern HL7 messaging and interoperability standard that offers richer semantics than HL7 V2 with less complexity than V3, built upon modern web technologies and RESTful APIs.

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Digital Imaging and Communications in Medicine (DICOM)

A communications standard developed by ACR and NEMA designed for handling, storing, printing, and transmitting medical imaging information.

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Medical Coding

The process of assigning standardized alphanumeric codes to diagnoses, encounter reasons, and healthcare services to facilitate billing, reimbursement, and clinical research.

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Superbill

A clinical fee ticket or document listing the most frequently used diagnosis and procedure codes in a specific medical practice, used to initiate claims.

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International Classification of Diseases (ICD)

A diagnostic coding and classification standard published by the World Health Organization (WHO) to track mortality and morbidity, clinically modified in the U.S. for reimbursement.

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NCPDP SCRIPT

A standard created by the National Council for Prescription Drug Programs that defines the electronic transmission of prescription information between prescribers and pharmacies.

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Logical Observation Identifiers Names and Codes (LOINC)

A universal terminology standard developed to identify and code laboratory test results and clinical observations.

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Electronic Health Record (EHR)

An electronic record of patient health information conforming to recognized interoperability standards that can be created, managed, and consulted across multiple healthcare organizations.

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Clinical Datum

A single clinical observation defined by four fundamental elements: the patient, the attribute, the value of the attribute, and the observation time.

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Social Determinants of Health (SDOH)

Environmental, social, economic, and educational conditions—such as housing stability, literacy, and food access—that substantially influence health outcomes and life expectancy.

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Single Sign-On (SSO)

An authentication process that permits a healthcare worker to log in once and gain authorized access to multiple connected clinical applications and EHR modules.

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Computerized Provider Order Entry (CPOE)

An EHR application module enabling licensed practitioners to electronically submit clinical orders for medications, laboratory tests, consults, and diagnostic imaging.

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Clinical Decision Support System (CDSS)

Software embedded within an EHR that assists healthcare providers in decision-making through rule-based medication alerts, reminders, order sets, and clinical calculators.

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Electronic Prescribing (eRx)

The direct electronic transmission of a prescription from an EHR system to a retail or mail-order pharmacy, reducing illegibility errors and turnaround times.

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Personal Health Record (PHR)

A health record controlled directly by the individual that contains data from multiple providers and patient self-reporting, separate from provider-owned legal health records.

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Tethered PHR

A patient portal linked directly to a specific healthcare institution's EHR system, allowing patients to view parts of their medical record and communicate with providers.

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Medical Scribe

A trained documentation specialist who accompanies clinicians during encounters to record clinical data directly into the EHR in real time.

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Data Science

The interdisciplinary field studying evidence-based principles, algorithms, and processes for extracting nonobvious, actionable patterns and knowledge from large datasets.

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Data Analytics

The extensive, systematic application of statistical models, quantitative methods, and explanatory frameworks to data to drive business and clinical decisions.

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Machine Learning (ML)

A subfield of computer science (defined by Arthur Samuel in 1959) that provides computers with the ability to optimize performance and learn from data without explicit programming.

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Deep Learning

A specialized branch of machine learning utilizing artificial neural networks with multiple stacked layers requiring intensive computational power, especially prominent in medical imaging.

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Artificial Intelligence (AI)

The branch of computer science focused on developing systems and algorithms capable of performing complex tasks normally requiring human intelligence.

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Big Data 4 Vs

The four defining characteristics of big data: Volume (scale of data), Velocity (generation speed), Variety (diversity of data types), and Variability (data source trust and consistency).

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Data Provenance

The documented lineage, origin, ownership trail, and verified trustworthiness of a piece of data across its lifecycle.

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Metadata

Structured descriptive information about data that provides context regarding its content, format, origin, or usage.

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Data Wrangling

The process of cleaning, transforming, and structuring raw or disparate data into an appropriate format for visualization, analytics, or machine learning.

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Supervised Learning

A machine learning paradigm in which an algorithm trains on labeled inputs mapped to known outputs to build predictive models, tested on separate validation data.

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Unsupervised Learning

A machine learning approach in which algorithms discover inherent groupings, clusters, or patterns within unlabeled, unstructured data without predefined targets.

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Reinforcement Learning

A machine learning method where an algorithm continuously learns optimal behaviors or decisions through trial, error, and feedback within a clinical or operational environment.

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Sensitivity

The statistical measure of a model or diagnostic test to correctly identify true positive cases; values drop below 100%100\% in the presence of false negatives.

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Specificity

The statistical measure of a model or diagnostic test to correctly identify true negative cases; values drop below 100%100\% in the presence of false positives.

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Algorithmic Bias

Systematic and repeatable discrepancies in computer predictions, exemplified when cost-predicting algorithms underallocated healthcare resources to sicker minority patients due to past spending inequalities.

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Black Box Medicine

The clinical use of opaque, highly complex artificial intelligence models whose decision-making logic and internal weights cannot be readily explained or interpreted by clinicians.