How To Answer The BME363 ChatEHR ECA (1a–1f)

The BME363 end-of-course assessment is worth 70% of your course marks, and it is built around one real paper. Students who skim it tend to write generic AI-in-healthcare essays. Markers want ChatEHR specifics.

Quick answer: answer each of questions 1a to 1f as its own short section, in the official template, using the Stanford ChatEHR paper (Shah et al., 2026) as your main evidence. Tie every claim to a point in that paper, add one or two critical judgements per part, cite in APA 7, and complete the AI attribution table honestly.

Want to see this in practice first? Our BME363 ChatEHR sample extract (for reference only) shows the structure for 1a, 1b, 1c and 1e.

Short on time? You can get a structured plan or draft review from our SUSS subject specialists while you work through the paper.

What the BME363 ECA asks you to do

The assessment (July semester 2026) has six parts on the ChatEHR platform described in arXiv:2602.00074. You may use that paper or other relevant sources. The full task is on the BME363 ECA question page. Use the official answer template, follow APA, and include the AI attribution table and declaration.

The paper is long and has 58 authors, so read it with the six questions beside you rather than front to back.

Mark-mapping table for 1a to 1f

Marks tell you how much space and depth each part deserves. Use this as a planning aid, not a word count rule.

1b, 1e and 1f together carry 60 of 100 marks. If time runs short, protect those three.

Step-by-step: building each answer

1. Read the paper by question. Highlight the sections for evaluation, automations, governance, value and limitations before you write anything.
2. Write a one-line claim for each part. For example, for 1e: automations give firmer value, the chat interface gives wider reach on weaker evidence.
3. Add paper evidence. One or two figures per point is enough. Name them as the authors’ estimates where that is what they are.
4. Add your analysis. Say what the evidence means, what it does not show, and what you would ask next.
5. Close each part with a judgement. One sentence that weighs the points.

Using one paper well

When a single paper is your main source, the risk is retelling it. Markers can see the difference between summary and analysis.

• Separate reported from estimated. The paper’s value figures are estimates built on assumptions, such as minutes saved per query. Say so.
• Compare inside the paper. Automations versus the interface, pilot versus post-deployment, one automation versus another.
• Check the version. The preprint was revised, so confirm numbers against the version you cite.
• Use outside sources sparingly. Add one only where it strengthens a claim, such as a general point on automation bias in 1a.

Not sure how to turn paper figures into an argument? Our report writing support covers structuring analytical answers.

Citing an arXiv preprint in APA 7

A preprint is cited with the author list, year, title in italics, the arXiv number in brackets, the server name, and the DOI link. For this paper the reference looks like this:

Shah, N. H., Ambers, N., Pandya, A., Keyes, T., Banda, J. M., Nallan, S., Lugtu, C., Trotsyuk, A. A., Bedi, S., Unell, A., Fuentes, M., Grolleau, F., Jain, S. S., Chen, J., Dash, D., Char, D., Sharma, A., McElfresh, D., Scully, P., . . . Pfeffer, M. A. (2026). Adoption and use of LLMs at an academic medical center (arXiv:2602.00074). arXiv. https://doi.org/10.48550/arXiv.2602.00074

In text, use (Shah et al., 2026). APA 7 lists up to 20 authors, so with 58 authors you show the first 19, an ellipsis, then the last. Confirm the format against your course’s APA guidance.

The AI attribution table

The brief requires a table and declaration showing any use of AI tools. Treat it as part of the assessment, not an afterthought.

• List each tool you used and what you used it for (for example, checking grammar or brainstorming headings).
• Record the prompts or a fair description of them.
• State what you changed or rejected in the output.
• If you used none, say so in the declaration.

Follow the exact layout in the official template, and check your SUSS rules for the current wording.

Stuck on part 1e or 1f? Ask for a quick outline check through our research paper guidance service, then write the final answer in your own words.

A sample plan for a three-day writing schedule

Day one: read the paper against the six questions and fill your notes sheet. Day two: draft 1a to 1d, spending the most time on 1b. Day three: draft 1e and 1f, build the comparison table, add citations, then complete the AI attribution table and proofread against the template. Leave an hour at the end for a clean read-through, because template slips are the easiest marks to lose.

When you draft 1e, set out the automation results and the interface results side by side before you write a word of prose. A simple table of benefit, scale, evidence strength and risk makes the comparison visible and forces you to say which numbers are firm and which rest on assumptions.

Common mistakes

• Writing about LLMs in general. Parts 1b to 1f are about ChatEHR, so general points need a ChatEHR anchor.
• Quoting figures without context. A number such as a yearly saving means little without its assumptions.
• Ignoring the “one example” limit in 1c. Pick one automation and go deep.
• Treating 1e as a list. The task asks you to compare and explain, so use a table and then a judgement.
• Skipping the critical view in 1f. Listing challenges earns less than ranking them.
• Weak citations. Missing in-text citations or an incomplete reference list loses easy marks.
• Forgetting the template and attribution table.

Common student pain points

Most students say the paper’s tables are hard to read and the value figures confusing. Build your own one-page notes sheet: part number, claim, two figures, one limitation. It saves hours when drafting.

If your concern is scoping the answer rather than writing it, an ECA planning and review service can help, and the biomedical engineering assignment page lists related subjects.

FAQs

Do I have to use the Stanford ChatEHR paper?

The brief says you may use it or other relevant sources. Because parts 1b to 1f are about ChatEHR, the paper is the most direct evidence.

How do I cite the paper in APA 7?

Use the preprint format shown above, and (Shah et al., 2026) in text. Check the version and date you read.

Can I use the figures in the paper?

Yes, with a citation. Say whether they are measured or estimated, and check them against the paper.

How long should each answer be?

Let marks guide you. Parts worth 20 marks need clearly more depth than the 10-mark part. Follow any word limit in the official template.

What goes in the AI attribution table?

Each AI tool, the purpose, a description of prompts, and how you changed the output. Use the template’s layout.

Can someone check my draft?

You can ask for feedback on structure and referencing. Our expert profile for Gabriel Tan shows a PhD in Computer Science from the National University of Singapore, with expertise in artificial intelligence, machine learning, data analytics, and natural language processing.

Before you decide, you can read what students say about us, then send us your brief and deadline for next steps.

Plan the six parts by marks, anchor each in the paper, and keep your own judgement visible. Read about who we are if you want more context.

References

Shah, N. H., Ambers, N., Pandya, A., Keyes, T., Banda, J. M., Nallan, S., Lugtu, C., Trotsyuk, A. A., Bedi, S., Unell, A., Fuentes, M., Grolleau, F., Jain, S. S., Chen, J., Dash, D., Char, D., Sharma, A., McElfresh, D., Scully, P., . . . Pfeffer, M. A. (2026). Adoption and use of LLMs at an academic medical center (arXiv:2602.00074). arXiv. https://doi.org/10.48550/arXiv.2602.00074