Submit clinical data
Submit your bloodwork graph and trend analysis CER to the unit tracker.
Complete clinical-data packet: time-series graph with labeled axes, units, and normal range band; Thursday CER with cited data point and trend reasoning; variables/limitations documentation; and self-assessment form.
- 1Do thisSubmit your bloodwork graph and trend analysis CER to the unit tracker.
- 2Use this resource
- 3Submit thisTracker entry: Complete clinical-data packet: time-series graph with labeled axes, units, and normal range band; Thursday CER with cited data point and trend reasoning; variables/limitations documentation; and self-assessment form.
- 4Submit it here
- 1CMSD website. Go to clevelandmetroschools.org and click the Clever button.
- 2Clever. Clever opens. Sign in if it asks.
- 3Microsoft (district) login. Use your district Microsoft account (the one for school).
- 4Schoology. Open Schoology, then your class, then Assignments, and find the file named below.
The file to submit is named: Principles of Biomedical Technology (Principles of Biomedical Science) › Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring. › Tracker entryOpen Schoology
- CER:
- Claim, Evidence, Reasoning — make a claim, back it with evidence, explain your reasoning.
- SOP:
- Standard Operating Procedure — the exact steps to follow (especially in a lab).
- Tracker:
- Your PLTW progress log where you record completed evidence.
- myPLTW:
- The PLTW course site where you do the online activities — you open it through Schoology.
Minute-by-minute · 80-minute block
💡 Big idea: A complete clinical-data packet makes a longitudinal argument: the graph is the evidence, the CER is the interpretation, and the limitations statement shows intellectual honesty.
- 0:00Project the tracker checklist; walk through each required item
- 0:10Work time: finalize and upload the time-series graph; verify normal range band, labeled axes, and connected data points
- 0:28Work time: upload Thursday CER; verify a specific data point is cited and a limitation is stated
- 0:45Confirm variables and limitations are documented in the notebook and tracker
- 0:58Self-assessment form: check each success criterion; flag any item not fully met
- 1:08One-sentence share: what would change your clinical interpretation of this patient's trend?
- • Clinical-data submission day. Your graph and your CER tell the story of this patient's health over two years. Before you upload, make sure the story is complete and honest.
- • Check your graph: is the normal range band visible? Are both axes labeled with units? Are all data points connected with a line? If any of those are missing, fix them now.
- • Check your CER: does it cite a specific data point from the graph? Does it explain why the trend is more informative than a single reading? Does it acknowledge at least one limitation of the data?
- • Self-assess last. If you cannot check off every success criterion, address the gap in this class period.
- 1Review the tracker checklist for clinical-data deliverables.
- 2Upload your time-series bloodwork graph with normal ranges marked.
- 3Attach your trend-analysis CER.
- 4Confirm variables and limitations are documented.
- 5Self-assess against success criteria and flag gaps.
- • I can submit a complete clinical-data packet.
- • I can verify my work against a checklist.
- • A time-series graph submitted without the normal range band marked is missing the clinical reference frame that makes the data interpretable.
- • The CER must reference specific data points (e.g., 'the glucose reading at month 12 was 145 mg/dL, which is above the 99 mg/dL upper normal limit') to be scientifically credible.
- • Self-assessment against success criteria in a clinical-data context reinforces the habit of auditing your own documentation before it enters a patient record.
Your PLTW work today
Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring. · Submit clinical data
Day 5 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: Open myPLTW and confirm all Lesson 2.1 Talk to Your Doc clinical-data unit tasks are marked complete.
All clinical-data tasks should show as complete in your myPLTW progress view.
Every item from Monday through Thursday should be submitted today before you leave.
Completed myPLTW clinical-data unit with all tasks marked, plus tracker submission including time-series graph with normal range, CER, variables/limitations documentation, and self-assessment.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction. Submit producibles on Schoology.
Today's PLTW tracker
Check things off as you work, then submit. This tells Mr. Mendoza how you're doing so he can help the class. It does not replace turning in your producible on Schoology.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring. · Submit clinical data
Open myPLTW and confirm all Lesson 2.1 Talk to Your Doc clinical-data unit tasks are marked complete.
Every item from Monday through Thursday should be submitted today before you leave.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Submit your bloodwork graph and trend analysis CER to the unit tracker.
- Review the tracker checklist for clinical-data deliverables.
- Upload your time-series bloodwork graph with normal ranges marked.
- Attach your trend-analysis CER.
- Confirm variables and limitations are documented.
- Self-assess against success criteria and flag gaps.
Tracker entry: Complete clinical-data packet: time-series graph with labeled axes, units, and normal range band; Thursday CER with cited data point and trend reasoning; variables/limitations documentation; and self-assessment form.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Review the tracker checklist for clinical-data deliverables. | _______ |
| Upload your time-series bloodwork graph with normal ranges marked. | _______ |
| Attach your trend-analysis CER. | _______ |
| Confirm variables and limitations are documented. | _______ |
| Self-assess against success criteria and flag gaps. | _______ |
Working solo? Put your own name in "Who" for every row.
- I can submit a complete clinical-data packet.
- I can verify my work against a checklist.
Resources & readings
Hand-picked materials for this lesson. Class file items open the document directly; the rest are vetted readings and interactives from other biomedical programs.
Lab & supplies
WebXam practice
Cumulative WebXam review
A quick mixed-review pulling questions from earlier units plus today, so the WebXam material stays fresh.
Where this leads — careers
What today's skills lead to. These are real health-science careers this course builds toward. Tap one to see, on the US Department of Labor's O*NET site, what the job actually involves, what it pays, and how fast it is growing.
What to do if you were absent
Today is individual PLTW work, so do exactly what we did in class, from home: complete the same PLTW target above, then submit your Tracker entry.
Open Schoology (CMSD) and keep goingHow to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
MedlinePlus: Laboratory Tests- CompleteEvery required part of the artifact is present, nothing left blank.
- AccurateThe science and the data are correct and match the evidence.
- Scientific reasoningYou explain your claim with evidence and reasoning (CER), not just an answer.
- Professional communicationClear, organized, labeled, and written the way a clinician or scientist would.
- SubmittedTurned in the right way (Schoology for routine work) and confirmed.
Drop your Tue, Oct 13, 2026 · Submit clinical data here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
Upload a project