EBP objectives and EHR design in a tertiary hospital
Four questions at 200 words each, and they form a sequence: what to capture, how to prompt action, what comes after screening, and how to design for the outcome. Answering them out of order produces a page that repeats itself.
Editorial process
Last reviewed · August 15, 2026
Four questions, each worth 200 words and a design decision
The four questions are a sequence and the case supplies the constraints that make each answer specific. Question one asks what data elements belong in the assessment and evaluation screens. Work backwards from the three objectives: pain, depression and adverse health behaviours at intake for all adult admissions; comprehensive geriatric assessment for those over 65 staying more than seven days or readmitted within three; and care-team performance. Each implies named, structured elements — a validated pain scale, a depression screening instrument with its scored items, smoking status, alcohol intake, recorded height and weight so BMI is calculated rather than typed. Structured beats free text here for a reason worth stating: only structured data can trigger a rule or be counted afterwards, and this hospital documents by exception, which is exactly the habit that leaves screening fields empty, so the documentation culture is part of the design problem rather than background to it.
Question two is about defaults and alerts, and the strongest answers respect alert fatigue rather than proposing more pop-ups. Hard stops belong only where the action is mandatory and rare; defaults that pre-select the recommended option do more work with less irritation; and a rule that fires on the case's own trigger conditions — over 65 and seven days, or readmission within three — targets the geriatric assessment precisely instead of alerting on everyone. Question three moves past detection: a positive screen with no defined pathway changes nothing, so name the referral routes, the escalation, the documentation and the follow-up. Question four asks about design for outcomes, which means capturing the denominator as well as the numerator, so eligible-but-not-screened patients are visible. That last point is what separates a design answer from a wish list, since a system that cannot show you the misses cannot show you improvement either, however good the screening rate looks among those actually screened.
Likely learning objectives
Inferred from the brief — check these against your own rubric.
- 01Derive required data elements from stated performance objectives.
- 02Design decision support that accounts for alert fatigue rather than ignoring it.
- 03Explain why outcome measurement requires capturing denominators, not only positive findings.
Read the full question
Review every instruction before using the planning guidance that follows.
Course-wide instructions that accompany this question
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes. Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages. Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor. The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
Turn the brief into deliverables
- 01Four responses of approximately 200 words each.
- 02Named, structured data elements tied to each objective.
- 03A defensible alerting approach with attention to alert burden.
- 04APA citations to clinical guidelines and standards.
From data elements to alerts to outcome measurement
Data elements from objectives
Work backwards from the three objectives to named, structured fields and validated instruments.
Why structure beats free text here
Explain that only structured data can trigger rules or be counted, especially under documentation by exception.
Defaults and alerts
Propose targeted rules using the case's trigger conditions, distinguishing defaults from hard stops.
After the screen
Name referral, escalation, documentation and follow-up pathways for positive findings.
Designing for measurement
Explain capturing denominators and reporting so improvement can be demonstrated.
Guidelines that define the data elements
Recommended databases
- Agency for Healthcare Research and Quality
- Office of the National Coordinator for Health IT
- PubMed Central
- US Preventive Services Task Force
- The attached course text
Search sequence
- 1.Use USPSTF recommendations to identify which screening instruments are indicated and for whom.
- 2.Search the alert fatigue literature before designing any alerting, since the evidence constrains the answer.
- 3.Look for published work on comprehensive geriatric assessment implementation for the second objective.
- 4.Use the attached text as instructed; the case comes from it and its vocabulary is what you are marked against.
Reference shortlist
These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.
Nothing here is cleared for citation until you have read it.
- 01
Interoperability
Office of the National Coordinator for Health Information Technology · 2024
Defines the exchange problem Dr. Jonas faces across three systems, and names the standards intended to resolve it.
- 02
About CAHPS
Agency for Healthcare Research and Quality · 2024
A model of how a standardised instrument is designed, validated and reported, which is what turns a screening intention into a measurable process.
- 03
The association between perceived electronic health record usability and professional burnout among US nurses
Journal of the American Medical Informatics Association, 28(8), 1632-1641 · 2021
Direct evidence for the alert and interface burden constraint that should shape the answer to question two.
- 04
About Adverse Childhood Experiences
Centers for Disease Control and Prevention · 2024
Background on why adverse behaviour screening at intake has population-level justification, supporting the first objective.
Review before submission
Common mistakes
- Listing data elements without connecting them to the three named objectives.
- Proposing hard-stop alerts everywhere, which the alert fatigue literature contradicts.
- Stopping at detection and never naming what happens after a positive screen.
- Designing for the numerator only, so the unscreened population stays invisible.
Submission checklist
- Does each data element trace to one of the three stated objectives?
- Have you distinguished defaults from hard stops and justified each use?
- Does your answer name the pathway that follows a positive screen?
- Does the design capture eligible patients as well as screened ones?
Use this guide to plan and review your own work. Follow your institution's rules and read our academic-integrity policy.
Written by
Aaron Bishop
MA, Education
assignment interpretation and research-methods coaching across disciplines
Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.
Reviewed by
Dr. Nathan Cole
PhD, Rhetoric & Composition
Argumentation and thesis development
Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.