| Course | HI530 Clinical Terminologies, Vocabularies, and Information Standards |
|---|---|
| Unit | Unit 6 |
| Paper type | Data dictionary excerpt |
| Length | About 900 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | MS in Health Informatics |
| Updated | October 2026 |
Free sample paper for HI530 Unit 6
Fourteen Allergy Fields and the Code System Behind Each: A Unit 6 Data Dictionary Excerpt Binding Substances, Reactions and Status Values to Named Vocabularies and Versions
[Student Name]
Purdue University Global
HI530: Clinical Terminologies, Vocabularies, and Information Standards
Unit 6 Data Dictionary Excerpt
[Instructor Name]
[Date]
Tolland Ridge Health's allergy module is composite; the standards and sources cited are real.
Conventions
Each field is described with its definition, datatype, whether it is required, the code system and value set that fill it, the binding strength, where the value comes from and the steward responsible for it. Binding strength follows the FHIR scale: required means only codes from the value set are allowed; extensible means the value set must be used if a suitable code exists, with other codes allowed otherwise; preferred and example are weaker (HL7 International, 2019). Every coded field is paired with an original-text field and, where codes change between releases, a version field, because a code without its version cannot be interpreted reliably after a release retires or redefines it.
Fields
1. allergy_id. Definition: unique identifier for this allergy entry. Datatype: integer, generated. Required. No code system. Steward: database administrator.
2. patient_id. Definition: the patient to whom the entry belongs. Datatype: integer, foreign key. Required. Steward: patient access director.
3. substance_code. Definition: the substance or product the patient reacts to. Datatype: code. Required unless only original text exists. Code system: RxNorm for medications, at the ingredient level for drug class reactions and the clinical drug level for product-specific ones; SNOMED CT substance concepts for foods and environmental agents. Binding: extensible. Source: clinician selection. Steward: pharmacy and therapeutics committee for medications, terminology committee for others.
4. substance_code_system. Definition: identifier of the code system used in field 3. Datatype: uniform resource identifier. Required when field 3 is filled. Steward: terminology committee.
5. substance_code_version. Definition: release of the code system from which field 3 was taken. Datatype: string. Required when field 3 is filled. Steward: terminology committee.
6. substance_original_text. Definition: the substance exactly as the clinician entered or the patient stated it. Datatype: text. Required. Steward: none; retained as entered.
7. category. Definition: broad type of substance. Datatype: code. Required. Value set: food, medication, environment, biologic. Binding: required. Steward: terminology committee.
8. type. Definition: whether the reaction is believed to be immune-mediated allergy or a non-immune intolerance. Datatype: code. Optional. Value set: allergy, intolerance. Binding: required. Steward: terminology committee.
9. clinical_status. Definition: whether the condition is currently present. Datatype: code. Required unless the entry is marked entered in error. Value set: active, inactive, resolved. Binding: required.
10. verification_status. Definition: certainty of the entry. Datatype: code. Required. Value set: unconfirmed, confirmed, refuted, entered in error. Binding: required.
11. criticality. Definition: potential for a future life-threatening reaction. Datatype: code. Optional. Value set: low, high, unable to assess. Binding: required.
12. reaction_manifestation_code. Definition: what happened, such as hives or wheezing. Datatype: code. Optional. Code system: SNOMED CT clinical findings. Binding: extensible. Steward: terminology committee.
13. reaction_severity. Definition: severity of the reaction that occurred. Datatype: code. Optional. Value set: mild, moderate, severe. Binding: required.
14. recorded_date. Definition: when the entry was first recorded. Datatype: date and time. Required. Source: system generated.
Criticality describes the risk of a future reaction, while severity describes a reaction that already happened, and merging them is the single most common design error in allergy modules.
Notes on Design Choices
The substance code is split into three fields, code, code system and version, plus original text, because allergy entries outlive releases. An entry recorded in 2019 under a drug concept that RxNorm later remapped can still be interpreted from its version and original text. Medication substances use RxNorm because it connects ingredients, clinical drugs and brands, so a penicillin allergy recorded at the ingredient level can be checked against any product containing it (Nelson et al., 2011). Foods and environmental substances use SNOMED CT because RxNorm does not cover them. Status fields use the small value sets from the FHIR allergy resource with required binding, so every system that exchanges the record interprets "refuted" or "entered in error" the same way. A patient whose penicillin allergy was disproved by testing keeps the entry with verification status refuted, rather than having it deleted, so the next clinician sees that the question was answered. Interoperability texts note that small, required value sets for status are what let systems act safely on exchanged data (Benson & Grieve, 2021).
An Example Entry
A composite patient tells the admitting nurse she broke out in hives after taking amoxicillin as a child and has avoided penicillins since. The entry is recorded as follows: substance_code, the RxNorm ingredient concept for amoxicillin; substance_code_system, the RxNorm identifier; substance_code_version, the release in use that month; substance_original_text, "amoxicillin as a child, hives"; category, medication; type, allergy; clinical_status, active; verification_status, unconfirmed; criticality, low; reaction_manifestation_code, the SNOMED CT concept for urticaria; reaction_severity, mild; recorded_date, the moment of entry. If an allergist later tests her and she tolerates amoxicillin, verification_status becomes refuted, and the entry stays in the record with that status.
Validation Rules
1. If verification_status is entered in error, clinical_status must be empty.
2. If category is medication, substance_code_system must identify RxNorm or be empty with original text present.
3. If reaction_severity is filled, reaction_manifestation_code or original text describing the reaction must also be present.
4. An entry with substance_original_text only and no code is flagged for terminology review within 30 days.
References
Benson, T., & Grieve, G. (2021). Principles of health interoperability: FHIR, HL7 and SNOMED CT (4th ed.). Springer.
HL7 International. (2019). FHIR release 4: AllergyIntolerance resource. Health Level Seven International.
Nelson, S. J., Zeng, K., Kilbourne, J., Powell, T., & Moore, R. (2011). Normalized names for clinical drugs: RxNorm at 6 years. Journal of the American Medical Informatics Association, 18(4), 441-448. https://doi.org/10.1136/amiajnl-2011-000116
What the HI530 Unit 6 assignment asks for
The sixth unit usually asks for an excerpt of a data dictionary for one clinical module, with each field's definition, datatype, requirement, code system or value set and binding. Expect to explain why each coded field uses the vocabulary it does, and how the design handles changes between releases. Many instructors want binding strengths stated using a recognized scale, such as FHIR's required, extensible, preferred and example. Original text and version fields are often expected alongside codes. Validation rules that tie fields together show how the dictionary will be enforced. A worked example entry helps readers see the fields in use. Cite the standard that defines your value sets and a source on any vocabulary you bind to. A wide table or numbered field list with consistent attributes is the usual format, and stewards should be named by role.
Inside the HI530 Unit 6 example
A conventions section defines each attribute and explains FHIR binding strengths, citing the FHIR allergy resource. Fourteen fields follow as numbered entries in the order a clinician records an allergy, from identifier and patient through substance, category, type, status fields, reaction and recorded date. The highlighted sentence distinguishes criticality from severity, the error most allergy modules make, and a margin note reinforces it. Design notes explain the split substance fields, why medications bind to RxNorm, and why refuted entries are kept rather than deleted, citing an RxNorm review and an interoperability text. An example entry records a childhood amoxicillin reaction and shows how it changes after allergy testing. Four validation rules close the excerpt, each linking fields so the dictionary can be enforced.
Where the points sit in the HI530 Unit 6 rubric
Data dictionary excerpts tend to be graded on completeness of field attributes, correctness of vocabulary bindings, design rationale and enforceability. Completeness points reward every field described with the same attributes. Binding correctness carries a large share: graders check that each coded field names an appropriate code system and binding strength. Students lose points by leaving coded fields without a vocabulary or version, or by confusing criticality with severity. Design rationale earns credit when choices are explained with sources. Validation rules show how the dictionary will be enforced and often carry their own credit. A worked example, stewards named by role, consistent formatting and APA citations complete the rubric.
HI530 Unit 6 help: mistakes that cost points
The usual problem in Unit 6 is a dictionary that lists field names and types but never says which vocabulary fills each coded field. Another is omitting version and original text, so codes become uninterpretable after a release. Some students merge criticality and severity into one field, which loses an important distinction. Status values are often invented rather than taken from a standard value set. Validation rules are frequently left out. Definitions that repeat the field name, such as substance means the substance, add nothing. To build your own excerpt, list the module's fields, the vocabularies your organization uses and the standard your instructor prefers, and each field can be bound and defined consistently.
Get an HI530 Unit 6 example written to your instructions
Data dictionary prompts often specify the clinical domain and the column headings required. Share the Unit 6 instructions with any template, the HI530 rubric and the assigned domain, whether allergies, problems or results. The excerpt follows those headings and names each code system accurately, in 24-48h, and the first custom sample is free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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HI530 Unit 6 questions, answered
Where can I find a free HI530 Unit 6 sample paper?
The finished Unit 6 dictionary excerpt is here, documenting fourteen allergy fields and their vocabularies.
Which vocabulary should code medication allergies?
RxNorm, which links ingredients, clinical drugs and brands so an ingredient-level allergy can be checked against any product.
Why store a code's version and original text?
Codes can be retired or redefined, so version and original text keep old entries interpretable.
What is the difference between criticality and severity?
Criticality is the risk of a future life-threatening reaction; severity describes a reaction that already happened.
What happens to an allergy disproved by testing?
Its verification status becomes refuted, and the entry stays so the next clinician sees the question was answered.