Semester 1 (Fall) · Week 8 of 15 teaching weeksOct 12–16

Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring.

Your PLTW coursework: Principles of Biomedical ScienceUnit 2: Clinical Care ▸ Lesson 2.2 Decoding a Diagnosis ▸ "Activity 2.2.1 Bothersome Bumps", "Activity 2.2.2 A Protein Problem", "Activity 2.2.3 An Inheritance Story"

What to do if absent
Color keyLearn firstGet orientedDo the workLab daySafety netCheck yourself
Portal terms
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. Find it in Clever with your Microsoft sign-in, right next to Schoology.
Learn first

Week overview - Clinical Data: reading bloodwork and monitoring chronic disease

Oct 12–16

Interpret routine bloodwork against normal ranges, identify risk factors, and explain how telehealth and wearables support remote monitoring of chronic disease.

Week arc
  1. 1Open the Unit 2.1 Clinical Data task in your PLTW shell to confirm the graded interpretation.
  2. 2Read a simulated blood panel and locate and values.
  3. 3Compare each result to its and flag any value that is high or low.
  4. 4List the risk factors a flagged result suggests for a chronic condition.
  5. 5Describe how a wearable or telehealth visit would monitor that patient over time.
  6. 6Write a short monitoring plan that names what data to track and how often.
By week end
  • You can compare bloodwork values to their normal ranges.
  • You can identify risk factors from flagged lab results.
  • You can describe a remote monitoring plan using telehealth or wearables.
The plan

Daily lessons this week

Open any day for its full lesson, the work due that day, and guided notes.

MondayMon, Oct 12
Ethics of monitoring

Written CER (3-5 sentences) arguing whether continuous wearable monitoring helps or harms patients, with a reference to patient autonomy in the reasoning.

WednesdayWed, Oct 14
Bloodwork and ranges

Exit ticket: list three blood panel markers, their normal ranges with units, and one clinical condition associated with an out-of-range value for each.

ThursdayThu, Oct 15
Simulated bloodwork data

Simulated bloodwork (all time points for glucose and ) and a labeled time-series graph for one marker with the band marked and at least one annotated out-of-range point.

FridayFri, Oct 16
Analyze chronic trends

CER arguing whether the simulated patient's chronic condition is improving or worsening, using the Wednesday time-series graph as evidence and explaining why the trend is more informative than a single reading.

Friday
Submit clinical data

Complete clinical-data packet: time-series graph with labeled axes, units, and band; Thursday CER with cited data point and trend reasoning; variables/limitations documentation; and self-assessment form.

Get oriented

Quick intro to the week

  • Numbers on a lab report only mean something when you compare them to a , so today you practice reading bloodwork like a clinician.
  • Today's goal: interpret a blood panel and build a realistic plan to monitor a chronic condition from a distance.
  • Monday's bioethics debate connects: when a wearable streams health data nonstop, who owns that data and who gets to see it?
  • Your graded bloodwork interpretation and chronic- are submitted on the class site.
Do the work

Your PLTW coursework this week

Do this: Advance the PLTW PBS Unit 2.1 Clinical Data benchmark by interpreting bloodwork and planning remote monitoring in the online shell.

Know when done
  • Lab values such as and are read against a .
  • A raises the chance of developing a chronic disease.
  • Telehealth and wearables enable remote monitoring of patients over time.
Be able to do
  • Compare lab results to normal ranges and flag abnormal values.
  • Design a remote monitoring plan for a chronic condition.

📋 PLTW evidence due Friday: completed Unit 2.1 bloodwork interpretation and chronic-care monitoring plan.

All PLTW activities are completed inside the PLTW course environment: this page only gives direction.

The plan

This week's PLTW tracker

Your week at a glance. Check off each deliverable as you finish it, then submit so Mr. Mendoza can see how the class is pacing.

Use the code Mr. Mendoza gave you, not your name. Saved on this device.

DayDateFocusKey deliverable
MondayMon, Oct 12Ethics of monitoring Written CER (3-5 sentences) arguing whether continuous wearable monitoring helps or harms patients, with a reference to patient autonomy in the reasoning.
WednesdayWed, Oct 14Bloodwork and ranges Exit ticket: list three blood panel markers, their normal ranges with units, and one clinical condition associated with an out-of-range value for each.
ThursdayThu, Oct 15Simulated bloodwork data 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.
FridayFri, Oct 16Analyze chronic trends CER arguing whether the simulated patient's chronic condition is improving or worsening, using the Wednesday time-series graph as evidence and explaining why the trend is more informative than a single reading.
Friday-Submit clinical dataComplete 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.
Check off as you finish
  • M: Philosophy for Kids / John Carroll bioethical debate
  • T: teacher background notes + PLTW launch task
  • W: lab / data or model work
  • Th: analysis / CER or design revision
  • F: submit tracker + weekly evidence

Due by week's end: Bloodwork interpretation and chronic-care plan.

Where are you this week?0/5 checked
Pick your period and code first.
The week, drawn

5 panels from the illustrated semester.

Fiction. There is no such student. The lessons, labs and dates are the real planned course; the student, the classmates and the conversations are invented.

Lab day

Lab day: what to bring & watch

Equipment you'll need
Simulated blood panel data sheetsNormal-range reference chartCalculatorGlucose meter demonstration kitWearable device or fitness tracker (demo)Lab notebook for the monitoring plan
MedlinePlus: Laboratory Tests

This explainer accompanies the PLTW lab protocol: watch it before lab.

Safety net

What to do when absent

If YOU are absent

Most days, this class is your PLTW coursework: and PLTW is online and individual. So being out usually just means doing exactly what we did in class, from home.

Open Clever, then myPLTW

How to get there: open Clever and sign in with your Microsoft (district) account. Both myPLTW and Schoology are in Clever. Do the activity in myPLTW. Turn the work in on this site or hand it to Mr. Mendoza, because that is the step that counts as submitted. Schoology only shows your report-card grade later.

Was today a lab or a group activity?

You can't do those from home: do this instead: Teacher-posted data/model packet, same objective. Supplemental: Khan: diabetes/; CDC chronic disease pages.

If MR. MENDOZA is absent

Class still runs. A substitute will post today's plan: complete the online activity above; it's built to be self-guided. Need the concept taught without a teacher? Use this authoritative explainer:

MedlinePlus: Laboratory Tests
Words

Vocabulary

blood glucosecholesterolrisk factortelehealthwearablemonitoringnormal range
Explore

Resources & readings

Hand-picked readings and interactives for this lesson, from authoritative open organizations and PLTW's own public course outline.

Aligned to

Standards this week

Principles & Practice of Biomedical Technology 072110 · 5.8 Biotechnology Research and Experiments
NGSS science & engineering practices: planning investigations, analyzing data, argument from evidence
Check yourself

WebXam practice

Tap an answer to check it · nothing is recorded or graded
In the blood glucose drug-versus-placebo experiment, what is the dependent variable?
Before performing maintenance, what should you verify on the glucometer test strips?
Where should you locate information on the maintenance history of a glucometer?
A monitoring table shows one glucose value far outside the others in a steady dataset. What is the best first action?