Simulated bloodwork data
Collect and chart simulated bloodwork data over time following an SOP.
Simulated bloodwork data table (all time points for glucose and cholesterol) and a labeled time-series graph for one marker with the normal range band marked and at least one annotated out-of-range point.
- 1Do thisCollect and chart simulated bloodwork data over time following an SOP.
- 2Use this resource
- 3Submit thisData table: Simulated bloodwork data table (all time points for glucose and cholesterol) and a labeled time-series graph for one marker with the normal range band marked and at least one annotated out-of-range point.
- 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. › Data tableOpen 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 time-series graph of clinical data makes the difference between a trend and a one-time reading visible, which is the foundation of chronic-disease monitoring.
- 0:00Review how to build a time-series graph (quick demo with an example dataset)
- 0:10Open the simulated patient dataset; read the SOP for data recording
- 0:18Record all glucose and cholesterol values with their time points in a data table
- 0:32Build a labeled line graph for your chosen marker: title, x-axis (time), y-axis (marker + units), data points connected
- 0:52Mark the normal range band on the graph; annotate any points outside the range
- 1:02Record one dataset limitation and one source of error in the notebook
- 1:10Pair-compare graphs; preview Thursday trend analysis
- • Today we work with a simulated patient dataset. This patient has been having their blood glucose and cholesterol checked every three months for two years. Your job is to extract the data, graph it, and read the trend.
- • When you draw the graph, the normal range goes on as a horizontal band. Every point above that band is a clinical concern. Every point below that band is also information. The trend is what tells the story.
- • Real clinical data is messy: missing appointments, inconsistent lab timing, different labs with slightly different reference ranges. Our simulated data will be cleaner, but we will still practice identifying its limitations.
- • By the end of class you will have a graph that tells the story of this patient's health over two years at a glance.
- 1Read the data-collection SOP and open the simulated patient dataset.
- 2Record glucose and cholesterol values across several time points.
- 3Build a labeled line graph of one marker over time.
- 4Mark the normal range band on your graph.
- 5Record one limitation and one source of error in the dataset.
- • I can collect and chart longitudinal bloodwork data.
- • I can mark normal ranges on a time-series graph.
- • A time-series graph has time on the x-axis and the measured variable on the y-axis; data points are connected with a line to show change over time.
- • The normal range band (shaded or bounded by two horizontal lines) provides the visual reference for whether each data point represents a concern.
- • Limitations of a simulated dataset include the absence of confounding variables, missing data points, and values that may not reflect real patient variability.
Your PLTW work today
Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring. · Simulated bloodwork data
Day 3 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: In myPLTW, open the Lesson 2.1 Talk to Your Doc clinical-data lab activity and record your simulated patient bloodwork data in the provided data table.
Mark the Lesson 2.1 data-collection task started in myPLTW.
You prepared your measurement plan Tuesday. By the end of today your data table and completed time-series graph should both be done.
Completed data table and time-series graph with normal range band submitted through the tracker.
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. · Simulated bloodwork data
In myPLTW, open the Lesson 2.1 Talk to Your Doc clinical-data lab activity and record your simulated patient bloodwork data in the provided data table.
You prepared your measurement plan Tuesday. By the end of today your data table and completed time-series graph should both be done.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Collect and chart simulated bloodwork data over time following an SOP.
- Read the data-collection SOP and open the simulated patient dataset.
- Record glucose and cholesterol values across several time points.
- Build a labeled line graph of one marker over time.
- Mark the normal range band on your graph.
- Record one limitation and one source of error in the dataset.
Data table: Simulated bloodwork data table (all time points for glucose and cholesterol) and a labeled time-series graph for one marker with the normal range band marked and at least one annotated out-of-range point.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Read the data-collection SOP and open the simulated patient dataset. | _______ |
| Record glucose and cholesterol values across several time points. | _______ |
| Build a labeled line graph of one marker over time. | _______ |
| Mark the normal range band on your graph. | _______ |
| Record one limitation and one source of error in the dataset. | _______ |
Working solo? Put your own name in "Who" for every row.
- I can collect and chart longitudinal bloodwork data.
- I can mark normal ranges on a time-series graph.
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
Use the simulated bloodwork dataset to record glucose and cholesterol over time, build a labeled time-series graph with the normal range marked, and note one limitation.
NIH MedlinePlus Lab TestsThen submit your Data table on Schoology.
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 Thu, Oct 8, 2026 · Simulated bloodwork data here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
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