INFORMATICS 131 MIDTERM EXAM —
200 MCQs (Advanced Level)
Summary of Topics Covered:
Questions 1–10: Foundations of Informatics
Questions 11–20: Information Organization
Questions 21–28: Information Retrieval
Questions 29–34: Database Concepts
Questions 35–40: Health Information Systems
Questions 41–48: Standards & Interoperability
Questions 49–52: Clinical Terminologies & Coding
Questions 53–60: Privacy, Security & Ethics
Questions 61–65: Knowledge Representation
Questions 66–70: Human-Computer Interaction
Questions 71–75: Data Analytics & Decision Support
Questions 76–78: Public Health & Population Informatics
Questions 79–80: Informatics Research Methods
Questions 81–200: Advanced Mixed Informatics Topics
📋 EXAM COVERAGE DESCRIPTION
This exam covers the following core domains as assessed in Informatics 131 (Health
Informatics / Information Organization and Retrieval):
Foundations of Informatics: History, definitions, scope, and theoretical frameworks of
health informatics and information science
Information Organization: Classification systems, ontologies, taxonomies, metadata,
cataloging, indexing, and controlled vocabularies
Information Retrieval: Search systems, relevance ranking, query formulation, Boolean
logic, precision vs. recall
Database Concepts: Data models, relational databases, SQL fundamentals,
normalization, data integrity
Health Information Systems: EHR, EMR, clinical decision support, CPOE, PACS, and
health IT infrastructure
Standards & Interoperability: HL7, FHIR, SNOMED CT, ICD, LOINC, RxNorm,
DICOM, and data exchange standards
Clinical Terminologies & Coding: ICD-10, CPT, DRG, NCI Thesaurus, UMLS, and
coding systems
Privacy, Security & Ethics: HIPAA, HITECH, data governance, de-identification,
cybersecurity in healthcare
, Knowledge Representation: Semantic web, ontologies, description logics, RDF, OWL,
and knowledge graphs
Human-Computer Interaction: Usability, user-centered design, interface evaluation,
cognitive load in clinical systems
Data Analytics & Decision Support: Clinical decision support systems, evidence-based
informatics, predictive analytics
Public Health & Population Informatics: Surveillance systems, registries, population
health management
Informatics Research Methods: Study designs, evaluation frameworks, outcomes
measurement
SECTION 1: FOUNDATIONS OF INFORMATICS
1. Which of the following BEST defines "health informatics" as a discipline?
A. The study of computer hardware used in hospitals B. The science of how health information is
collected, stored, processed, and used to improve health outcomes and healthcare delivery ✅
(correct answer) C. The management of hospital billing and financial records only D. The
application of artificial intelligence exclusively to clinical diagnosis E. The study of nursing
workflows in acute care settings
Rationale: Health informatics is an interdisciplinary field combining information science,
computer science, cognitive science, and healthcare to understand how data, information, and
knowledge are generated, communicated, and applied in healthcare settings. It encompasses
EHR systems, clinical decision support, health data standards, interoperability, and population
health. It is broader than IT management, billing, or any single application domain.
2. The "data-information-knowledge-wisdom" (DIKW) hierarchy in informatics describes:
A. Four levels of hospital administration authority B. A progression where raw facts (data) are
processed into meaningful information, synthesized into knowledge, and applied with judgment
as wisdom ✅ (correct answer) C. Four types of database storage formats used in clinical
systems D. Levels of EHR adoption measured by HIMSS Analytics E. Stages of clinical trial
design and implementation
Rationale: The DIKW hierarchy (Ackoff, 1989; Nelson in nursing informatics): Data = raw,
unprocessed facts (e.g., "98.6"); Information = processed data with context and meaning (e.g.,
"patient's temperature is normal"); Knowledge = synthesized information with relationships and
patterns (e.g., "normal temperature rules out fever-related diagnoses"); Wisdom = appropriate
application of knowledge in context with judgment (e.g., deciding not to prescribe antipyretics).
,This hierarchy is foundational to understanding how health informatics transforms raw clinical
data into actionable decisions.
3. The Biomedical Informatics Research Network (BIRN) and similar infrastructure projects
represent which major informatics concept?
A. Centralized data warehousing in a single institution B. Federated data sharing allowing
distributed datasets to be queried while remaining at their source institutions ✅ (correct
answer) C. Proprietary EHR development for academic medical centers D. Nationwide
insurance claims processing networks E. Mobile health application development frameworks
Rationale: Federated data architectures allow distributed data to remain at source institutions
(preserving data governance and privacy) while being queried through common interfaces and
standards. This contrasts with centralized repositories where data is physically moved. Federated
models are used in BIRN, PCORnet, and the NCATS N3C network for distributed clinical
research. Key benefits: institutional data ownership preserved, reduced data transfer risk,
scalable. Challenge: query performance and semantic harmonization across heterogeneous
systems.
4. In the context of information science, "aboutness" refers to:
A. The metadata describing a document's file size and format B. The intellectual content or
subject matter of an information object, which indexers must identify for retrieval purposes ✅
(correct answer) C. The physical location where a document is stored D. The authority file
controlling author name variants E. The citation count measuring document impact
Rationale: "Aboutness" is a central concept in information organization — it refers to what an
information object is topically about, which drives subject indexing, classification, and retrieval.
Determining aboutness is a complex cognitive task requiring human or algorithmic judgment
about the primary vs. secondary topics of a document. Multiple theories exist: Maron's
probabilistic aboutness, Soergel's semantic analysis, and Swift's user-centered approach.
Aboutness informs how documents are indexed in MeSH (Medical Subject Headings), library
catalogs, and clinical knowledge bases.
5. Which figure is credited with founding modern information retrieval science and introducing
the concept of "relevance feedback"?
A. Vannevar Bush B. Claude Shannon C. Gerard Salton ✅ (correct answer) D. Tim Berners-
Lee E. Doug Engelbart
, Rationale: Gerard Salton (1927–1995) at Cornell University developed the SMART (System for
the Mechanical Analysis and Retrieval of Text) information retrieval system and introduced
foundational concepts including: the vector space model for document representation, TF-IDF
(term frequency-inverse document frequency) weighting, and relevance feedback (users mark
relevant documents to refine subsequent queries). Vannevar Bush: "As We May Think" (1945),
conceived the Memex (hyperlink precursor). Claude Shannon: information theory. Berners-Lee:
World Wide Web. Engelbart: computer mouse, hypertext.
6. The "Cranfield experiments" in the 1960s are historically significant in informatics because
they:
A. First demonstrated the feasibility of electronic health records B. Established the foundational
evaluation measures of precision and recall for information retrieval systems ✅ (correct
answer) C. Introduced the relational database model to the scientific community D. Developed
the first controlled medical vocabulary E. Proved that natural language processing could replace
manual indexing
Rationale: The Cranfield experiments (Cleverdon, 1960s) at the College of Aeronautics,
Cranfield, UK, were landmark IR evaluation studies. They: (1) Established precision (proportion
of retrieved documents that are relevant) and recall (proportion of relevant documents that are
retrieved) as primary IR evaluation measures; (2) Tested different indexing languages (controlled
vocabulary vs. free text); (3) Demonstrated that index exhaustivity and specificity affected
retrieval performance. These concepts remain central to IR evaluation decades later and apply to
clinical literature databases, web search, and knowledge retrieval systems.
7. Vannevar Bush's 1945 article "As We May Think" proposed a device called the "Memex"
which is considered a conceptual precursor to:
A. The relational database management system B. Hypertext and the World Wide Web ✅
(correct answer) C. The electronic health record system D. Natural language processing engines
E. Controlled vocabulary thesauri
Rationale: Vannevar Bush's Memex (Memory Extender) was a hypothetical device allowing
individuals to store all books, records, and communications, with the ability to create
"associative trails" (links) between related documents — a direct conceptual precursor to
hypertext links and the World Wide Web. Bush was concerned about the growing body of
scientific knowledge and the inadequacy of existing indexing systems based on
linear/hierarchical organization. His vision influenced Ted Nelson (coined "hypertext") and Tim
Berners-Lee (WWW inventor). This article is considered one of the most influential in
information science history.
200 MCQs (Advanced Level)
Summary of Topics Covered:
Questions 1–10: Foundations of Informatics
Questions 11–20: Information Organization
Questions 21–28: Information Retrieval
Questions 29–34: Database Concepts
Questions 35–40: Health Information Systems
Questions 41–48: Standards & Interoperability
Questions 49–52: Clinical Terminologies & Coding
Questions 53–60: Privacy, Security & Ethics
Questions 61–65: Knowledge Representation
Questions 66–70: Human-Computer Interaction
Questions 71–75: Data Analytics & Decision Support
Questions 76–78: Public Health & Population Informatics
Questions 79–80: Informatics Research Methods
Questions 81–200: Advanced Mixed Informatics Topics
📋 EXAM COVERAGE DESCRIPTION
This exam covers the following core domains as assessed in Informatics 131 (Health
Informatics / Information Organization and Retrieval):
Foundations of Informatics: History, definitions, scope, and theoretical frameworks of
health informatics and information science
Information Organization: Classification systems, ontologies, taxonomies, metadata,
cataloging, indexing, and controlled vocabularies
Information Retrieval: Search systems, relevance ranking, query formulation, Boolean
logic, precision vs. recall
Database Concepts: Data models, relational databases, SQL fundamentals,
normalization, data integrity
Health Information Systems: EHR, EMR, clinical decision support, CPOE, PACS, and
health IT infrastructure
Standards & Interoperability: HL7, FHIR, SNOMED CT, ICD, LOINC, RxNorm,
DICOM, and data exchange standards
Clinical Terminologies & Coding: ICD-10, CPT, DRG, NCI Thesaurus, UMLS, and
coding systems
Privacy, Security & Ethics: HIPAA, HITECH, data governance, de-identification,
cybersecurity in healthcare
, Knowledge Representation: Semantic web, ontologies, description logics, RDF, OWL,
and knowledge graphs
Human-Computer Interaction: Usability, user-centered design, interface evaluation,
cognitive load in clinical systems
Data Analytics & Decision Support: Clinical decision support systems, evidence-based
informatics, predictive analytics
Public Health & Population Informatics: Surveillance systems, registries, population
health management
Informatics Research Methods: Study designs, evaluation frameworks, outcomes
measurement
SECTION 1: FOUNDATIONS OF INFORMATICS
1. Which of the following BEST defines "health informatics" as a discipline?
A. The study of computer hardware used in hospitals B. The science of how health information is
collected, stored, processed, and used to improve health outcomes and healthcare delivery ✅
(correct answer) C. The management of hospital billing and financial records only D. The
application of artificial intelligence exclusively to clinical diagnosis E. The study of nursing
workflows in acute care settings
Rationale: Health informatics is an interdisciplinary field combining information science,
computer science, cognitive science, and healthcare to understand how data, information, and
knowledge are generated, communicated, and applied in healthcare settings. It encompasses
EHR systems, clinical decision support, health data standards, interoperability, and population
health. It is broader than IT management, billing, or any single application domain.
2. The "data-information-knowledge-wisdom" (DIKW) hierarchy in informatics describes:
A. Four levels of hospital administration authority B. A progression where raw facts (data) are
processed into meaningful information, synthesized into knowledge, and applied with judgment
as wisdom ✅ (correct answer) C. Four types of database storage formats used in clinical
systems D. Levels of EHR adoption measured by HIMSS Analytics E. Stages of clinical trial
design and implementation
Rationale: The DIKW hierarchy (Ackoff, 1989; Nelson in nursing informatics): Data = raw,
unprocessed facts (e.g., "98.6"); Information = processed data with context and meaning (e.g.,
"patient's temperature is normal"); Knowledge = synthesized information with relationships and
patterns (e.g., "normal temperature rules out fever-related diagnoses"); Wisdom = appropriate
application of knowledge in context with judgment (e.g., deciding not to prescribe antipyretics).
,This hierarchy is foundational to understanding how health informatics transforms raw clinical
data into actionable decisions.
3. The Biomedical Informatics Research Network (BIRN) and similar infrastructure projects
represent which major informatics concept?
A. Centralized data warehousing in a single institution B. Federated data sharing allowing
distributed datasets to be queried while remaining at their source institutions ✅ (correct
answer) C. Proprietary EHR development for academic medical centers D. Nationwide
insurance claims processing networks E. Mobile health application development frameworks
Rationale: Federated data architectures allow distributed data to remain at source institutions
(preserving data governance and privacy) while being queried through common interfaces and
standards. This contrasts with centralized repositories where data is physically moved. Federated
models are used in BIRN, PCORnet, and the NCATS N3C network for distributed clinical
research. Key benefits: institutional data ownership preserved, reduced data transfer risk,
scalable. Challenge: query performance and semantic harmonization across heterogeneous
systems.
4. In the context of information science, "aboutness" refers to:
A. The metadata describing a document's file size and format B. The intellectual content or
subject matter of an information object, which indexers must identify for retrieval purposes ✅
(correct answer) C. The physical location where a document is stored D. The authority file
controlling author name variants E. The citation count measuring document impact
Rationale: "Aboutness" is a central concept in information organization — it refers to what an
information object is topically about, which drives subject indexing, classification, and retrieval.
Determining aboutness is a complex cognitive task requiring human or algorithmic judgment
about the primary vs. secondary topics of a document. Multiple theories exist: Maron's
probabilistic aboutness, Soergel's semantic analysis, and Swift's user-centered approach.
Aboutness informs how documents are indexed in MeSH (Medical Subject Headings), library
catalogs, and clinical knowledge bases.
5. Which figure is credited with founding modern information retrieval science and introducing
the concept of "relevance feedback"?
A. Vannevar Bush B. Claude Shannon C. Gerard Salton ✅ (correct answer) D. Tim Berners-
Lee E. Doug Engelbart
, Rationale: Gerard Salton (1927–1995) at Cornell University developed the SMART (System for
the Mechanical Analysis and Retrieval of Text) information retrieval system and introduced
foundational concepts including: the vector space model for document representation, TF-IDF
(term frequency-inverse document frequency) weighting, and relevance feedback (users mark
relevant documents to refine subsequent queries). Vannevar Bush: "As We May Think" (1945),
conceived the Memex (hyperlink precursor). Claude Shannon: information theory. Berners-Lee:
World Wide Web. Engelbart: computer mouse, hypertext.
6. The "Cranfield experiments" in the 1960s are historically significant in informatics because
they:
A. First demonstrated the feasibility of electronic health records B. Established the foundational
evaluation measures of precision and recall for information retrieval systems ✅ (correct
answer) C. Introduced the relational database model to the scientific community D. Developed
the first controlled medical vocabulary E. Proved that natural language processing could replace
manual indexing
Rationale: The Cranfield experiments (Cleverdon, 1960s) at the College of Aeronautics,
Cranfield, UK, were landmark IR evaluation studies. They: (1) Established precision (proportion
of retrieved documents that are relevant) and recall (proportion of relevant documents that are
retrieved) as primary IR evaluation measures; (2) Tested different indexing languages (controlled
vocabulary vs. free text); (3) Demonstrated that index exhaustivity and specificity affected
retrieval performance. These concepts remain central to IR evaluation decades later and apply to
clinical literature databases, web search, and knowledge retrieval systems.
7. Vannevar Bush's 1945 article "As We May Think" proposed a device called the "Memex"
which is considered a conceptual precursor to:
A. The relational database management system B. Hypertext and the World Wide Web ✅
(correct answer) C. The electronic health record system D. Natural language processing engines
E. Controlled vocabulary thesauri
Rationale: Vannevar Bush's Memex (Memory Extender) was a hypothetical device allowing
individuals to store all books, records, and communications, with the ability to create
"associative trails" (links) between related documents — a direct conceptual precursor to
hypertext links and the World Wide Web. Bush was concerned about the growing body of
scientific knowledge and the inadequacy of existing indexing systems based on
linear/hierarchical organization. His vision influenced Ted Nelson (coined "hypertext") and Tim
Berners-Lee (WWW inventor). This article is considered one of the most influential in
information science history.
