| Course | HI520 Database Design and SQL |
|---|---|
| Unit | Unit 1 |
| Paper type | Discussion board post |
| Length | About 450 words, 2 pages double-spaced |
| Format | APA 7 discussion post |
| School | Purdue University Global |
| Program | MS in Health Informatics |
| Updated | October 2026 |
Free sample paper for HI520 Unit 1
Two Encounters on One Tuesday and a Result Three Days Later: Why a Pediatric Asthma Database Must Model the Encounter, Not the Visit Date
HI520 · Unit 1 Discussion Board Post
Posted by [Student Name]
The child, Calder Bay Pediatrics and its sites are composite; the sources cited are real.
Initial Post
On a Tuesday in March, a composite eight-year-old named Mia was seen twice at Calder Bay Pediatrics. At 9:15 she saw a nurse practitioner at the Harbor Street site for wheezing, received a nebulizer treatment and left with a new controller inhaler and an order for spirometry. At 3:40, her father brought her to the Westfield site, closer to his work, for a school asthma form signed by a pediatrician. The spirometry was done on Thursday at Harbor Street, and the result posted on Friday. Our practice tracks asthma in a spreadsheet with one row per child per visit date. Here is what it did with Mia's Tuesday: it made one row, dated that Tuesday, listing both providers in one cell, both sites in another and "wheezing; school form" as the reason. The spirometry result posted on Friday had nowhere to go, because there was no visit on Friday, so someone pasted it into the Tuesday row's notes. A report counting asthma visits by site now counts one visit at an unknown site. A report asking who ordered spirometry cannot say. The flat sheet failed because it treated a date as if it were an event, and a single date can hold two events, while one event can produce data days later. I think the database has to represent at least five things separately, each defined by when it begins and ends: the patient, who persists for years; the encounter, which opens and closes within hours at one site with one provider; the diagnoses recorded at each encounter; the orders placed during an encounter; and the results that return later and point back to their order. Entity modeling was proposed precisely to describe things like these and the relationships among them before any table is built (Chen, 1976), and the relational model then lets each be stored once and joined as needed (Codd, 1970). Question for classmates: in your setting, what event happens more than once on the same day for the same patient, and how does your current data store tell the two apart?
Reply to Classmate
Luis, you suggested adding a "visit number" column to the spreadsheet. That would separate Mia's two Tuesday visits, but where would Friday's result go? It belongs to Thursday's order, not to either visit. I think the result needs its own place that points to the order.
References
Chen, P. P.-S. (1976). The entity-relationship model: Toward a unified view of data. ACM Transactions on Database Systems, 1(1), 9-36. https://doi.org/10.1145/320434.320440
Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6), 377-387. https://doi.org/10.1145/362384.362685
HI520 Unit 1 instructions, in plain terms
The first discussion in this database course typically asks you to explain why a clinical setting needs a relational database rather than a spreadsheet or flat file. Expect to ground the answer in a concrete case where a flat layout fails, and to name the things the database must represent. Strong posts show the failure rather than assert it, for example by writing out what the flat row looks like. Many instructors want you to connect the case to entity modeling or the relational model, with a citation to a founding source or a database text. A question for classmates closes the post, usually inviting them to share an event that repeats in their own setting. Replies should test a classmate's proposed fix against the case. Keep the patient and organization composite, and stay within the posted word range.
How this HI520 Unit 1 example is built
The post tells Mia's day in clock order, so the reader sees two visits and a later result before any term is introduced. It then writes out what the practice's one-row-per-date spreadsheet did with that day: one merged row, two providers in one cell and a result pasted into notes. The highlighted sentence states the core mistake, treating a date as an event. Five separate things follow, the patient, the encounter, the diagnoses at each encounter, the orders and the results, each defined by its lifespan. Founding work on entity modeling and the relational model supports the claim in one sentence each. The question asks classmates about repeated same-day events in their workplaces, and the reply tests a suggested visit number column against the Friday result, which still has no place to go.
Reading the HI520 Unit 1 grading rubric
Discussion points in HI 520 usually divide among the initial post's reasoning, use of sources and replies. Reasoning is weighted most heavily, rewarding a case that exposes a specific failure of a flat layout and for entities justified by that failure. Students lose points by listing database advantages in general terms, such as less redundancy, without showing them in a case. Source points reward a citation to entity modeling, the relational model or a database text tied to a claim. Expect a smaller share for a clear question that invites useful replies. Replies earn their own block when they test a peer's suggestion against a concrete scenario. Writing within the word range, readable structure and correct APA citations complete the rubric.
Common HI520 Unit 1 mistakes, and how to avoid them
A common weakness in Unit 1 is a post that recites textbook benefits of databases without a single case to show them. Another is choosing a case where a spreadsheet actually works fine, which undercuts the argument. Some students name tables or columns before explaining what the real-world things are, skipping the modeling step. Others forget that results and orders often arrive at different times from visits, which is where flat files break. Replies that propose a fix without checking it against the case score lower. Citations dropped at the end without a link to a claim add little. To start this post from your own workplace, describe a day when one patient generated more than one event or a delayed result, plus the posted instructions, and the argument can be built from that day.
Get an HI520 Unit 1 example written to your instructions
Some HI520 sections open with a scenario of their own, a hospital unit or a dental group, while others leave the setting open. Paste in the opening board's prompt for Unit 1, the discussion rubric and any scenario supplied, and the post and replies are drafted around that setting. The first custom sample is free, with turnaround inside 24-48h. 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.
More HI520 papers and MS in Health Informatics samples
- HI520 Unit 2: Entity Relationship Diagram
- HI520 Unit 3: Normalization Exercise
- HI520 Unit 4: Schema Build
- HI520 Unit 5: Basic Query Set
- HI520 Unit 6: Multi-table Join Query
- HI520 Unit 7: Aggregation and Grouping Query
- HI520 Unit 8: Seminar Reflection
- HI520 Unit 9: Data Governance Memo
- HI520 Unit 10: Database Design Report
- HI510 Unit 1: Discussion Post
- HI501 Unit 1: Discussion Post
HI520 Unit 1 questions, answered
Where can I find a free HI520 Unit 1 sample paper?
The finished Unit 1 discussion post sits on this page, arguing from one child's Tuesday that a database must model encounters.
Why can't a spreadsheet keyed on patient and date work?
A date can hold two encounters, and a result can arrive days later, so one row per date merges events and strands later data.
What must a clinical database represent separately?
At least the patient, each encounter, the diagnoses at each encounter, the orders placed and the results that answer them.
Would adding a visit number fix the spreadsheet?
It would separate same-day visits, but a result arriving later still belongs to an order, not to a visit row.
What sources fit an HI 520 Unit 1 post?
Founding work on entity modeling and the relational model, or a database text, tied to specific claims.