This class runs in two periods and they do not do the same lesson on the same day. You are reading the Period 6A-7B calendar, the one with John Carroll bioethics on Mondays.
Analyze chronic trends
Do now
Interpret bloodwork trends against normal ranges with a CER and evaluate data limits.
- Hand in
- 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.
- Where
- Submit this on the class form named on this page. The form requires the student's district Microsoft sign-in. The thank-you page is the submission receipt. A physical handoff counts only when the day page names that route. Doing the activity in myPLTW does not count as submitted.
You get two school days for every day you were absent, so this deadline moves with you.
If the form offers you a saved draft, choose New draft. If the Assignment box comes up empty, type it exactly: Analyze chronic trends
This patient's glucose climbed from 92 to 151 mg/dL over twelve months and stayed above 99 for the last half of the year. Is that a chronic condition worsening, or could it be twelve unlucky test days?
Interpret bloodwork trends against normal ranges with a CER and evaluate data limits.
- • I can interpret longitudinal trends against ranges.
- • I can explain why trends beat single readings.
- If a patient's blood sugar reading is high one time but normal every other time, should the doctor worry? Why or why not?
- Name one thing you did in the last day that could change your blood sugar if you got tested right now.
- 1Compare each marker's trend to its over time.
- 2Write a CER: is this patient's chronic condition improving or worsening?
- 3Explain how a single reading could mislead vs. a trend.
- 4Identify two variables that could affect a blood marker.
- 5State one limitation of wearable or self-reported data.
What did this day actually feel like?
Analyze chronic trends
CER on whether the patient's condition is improving or worsening, using the graph as evidence, plus an explanation of how a single reading could mislead where a trend would not.
This is the payoff of Monday's argument. The data alone did not answer the question. The trend direction did.
AT HOME, THE WEEKEND BEFORE TUE OCT 20 Submit clinical data Time-series graph with labeled axes, units, and the normal range marked as a band, plus the trend CER.
Marking the normal range as a band behind the line is a small thing that makes the graph readable at a glance, and I would not have thought of it.
Turned in: full clinical-data packet → recorded in Class Records
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.
The same day, drawn.
One reading is a snapshot. Only the trend tells you where the patient is heading.
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.
🛠 Get unstuck · pick your level
🔑 Today's words · 5
Tap a word in the lesson for a plain meaning and one example. Recycled into next week's Do-Now.
Check you have the right sheet: the top of it prints today's portal day, Analyze chronic trends. The PLTW activity itself is in myPLTW and is not posted here.
Do the work · 80-minute blockfirst 5 min = hook▸
💡 Big idea: A trend describes direction, speed, and position relative to the , so reading the trend rather than any single value tells you whether a chronic condition is improving or worsening, because one reading can be distorted by a meal, stress, or lab error.
- 0:00Return Wednesday graphs; as a class, describe the trend for one marker using direction, rate, and range relationship
- 0:12Students describe the trend for their chosen marker in their own words in the notebook
- 0:22CER writing: claim (improving or worsening), evidence (specific trend description with data points), reasoning (why trend beats a single reading)
- 0:48Identify two variables that could affect the marker (e.g., diet, exercise, medication compliance)
- 1:02State one limitation of wearable or self-reported data for chronic-disease monitoring
- 1:10Pair-share CERs; preview Friday submission
- • You graphed the data yesterday. Today you read the story it tells. Is this patient's glucose going up, down, or staying the same? Are they responding to treatment, or is their condition worsening?
- • We are going to practice describing a trend: direction, rate, and relationship to the boundary. These are the three things a clinician says when they look at a patient's longitudinal data.
- • Then you will write a CER arguing whether this patient's chronic condition is improving or worsening. Your evidence is the graph. Your reasoning explains why the trend, not any single reading, is the real evidence.
- • We will end by discussing the limitation of wearable and self-reported data, which is increasingly common in chronic-disease monitoring but has its own accuracy problems.
- • A trend is described by its direction (increasing, decreasing, stable), rate of change (gradual vs. rapid), and relationship to the boundary.
- • A single high reading might reflect a bad day, a recent meal, or lab error; a trend of consistently elevated readings over six months indicates a chronic condition.
- • Two variables that commonly affect are diet and exercise in the 24 hours before the test; is affected by fasting status at the time of the draw.
Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring. · Analyze chronic trends
Day 3 of this lesson. Open this exact section in myPLTW (find it in Clever, Microsoft sign-in), then do the work below.
Do this: In myPLTW, go back to Activity 2.1.5 Telehealth in Lesson 2.1 Talk to Your Doc and finish it.
Mark Activity 2.1.5 Telehealth complete in myPLTW.
You graphed the data Wednesday. By the end of today your CER and the trend description should both be done.
Completed CER with trend description and at least one data point cited as evidence.
The official PLTW activity stays inside myPLTW. If myPLTW will not open, use F1 and E1-E3 on this page to complete today's local evidence decision, then make up the official activity when access returns. Submit this on the class form named on this page. The form requires the student's district Microsoft sign-in. The thank-you page is the submission receipt. A physical handoff counts only when the day page names that route. Doing the activity in myPLTW does not count as submitted.
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 through the submission route shown below.
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. · Analyze chronic trends
In myPLTW, go back to Activity 2.1.5 Telehealth in Lesson 2.1 Talk to Your Doc and finish it.
You graphed the data Wednesday. By the end of today your CER and the trend description 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.
🎯 Interpret bloodwork trends against normal ranges with a CER and evaluate data limits.
- Compare each marker's trend to its over time.
- Write a CER: is this patient's chronic condition improving or worsening?
- Explain how a single reading could mislead vs. a trend.
- Identify two variables that could affect a blood marker.
- State one limitation of wearable or self-reported data.
CER: 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.
Submit this on the class form named on this page. The form requires the student's district Microsoft sign-in. The thank-you page is the submission receipt. A physical handoff counts only when the day page names that route. Doing the activity in myPLTW does not count as submitted. Use the checklist just below and upload by 11:29 PM for full credit. Absent with an excused absence? You get two school days for every day you were absent, so this deadline moves with you.
| Task | Who |
|---|---|
| Compare each marker's trend to its over time. | _______ |
| Write a CER: is this patient's chronic condition improving or worsening? | _______ |
| Explain how a single reading could mislead vs. a trend. | _______ |
| Identify two variables that could affect a blood marker. | _______ |
| State one limitation of wearable or self-reported data. | _______ |
Working solo? Put your own name in "Who" for every row.
- I can interpret longitudinal trends against ranges.
- I can explain why trends beat single readings.
- 1Do thisInterpret bloodwork trends against normal ranges with a CER and evaluate data limits.
- 2Use this resource
- 3Submit thisCER: 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.
- 4Submit it here
- 1Open the form. It must say For students at the top: if it says For parents and guardians, press Back and pick I am the student.
- 2If it offers you a saved draft, choose New draft: an old draft brings back the old assignment.
- 3Sign in with your district Microsoft account, not a personal one.
- 4Check the Assignment box says today's assignment from this page, then pick your period and type your student ID, all nine digits.
- 5Attach your file and press Submit. The thank-you page is your receipt.
Submit this on the class form named on this page. The form requires the student's district Microsoft sign-in. The thank-you page is the submission receipt. A physical handoff counts only when the day page names that route. Doing the activity in myPLTW does not count as submitted. Principles of Biomedical Technology (Principles of Biomedical Science) › Unit 2.1 Clinical Data: Routine bloodwork, chronic disease monitoring, telehealth, wearables, remote monitoring. › CERTurn it in
Learn it · deck, reading, and vocabulary▸
The deck carries the prior idea forward, lets you inspect an analogy, maps the rule to biology, and ends with the same evidence decision and exit ticket used on this page.
Generated from this lesson's canonical data with a red-team citation check.
A time-series graph plots each value against time and its , so a rising or falling line makes a real trend visible in a way a column of numbers cannot, which is why graphing is the foundation of chronic-disease monitoring.
A trend describes direction, speed, and position relative to the , so reading the trend rather than any single value tells you whether a chronic condition is improving or worsening, because one reading can be distorted by a meal, stress, or lab error.
A research team lays out its question, variables, controls, sampling plan, measurement record, and analysis before deciding what the data support.
- Which variable is changed or compared?
- Which conditions and measurements must stay consistent?
- Which conclusion is inside the study's evidence boundary?
Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
A well-organized classroom study can still be limited by , measurement quality, confounding, and the population represented.
- • Question and variable cards map to the study design.
- • Control and measurement cards map to fair, reproducible data collection.
- • The conclusion card maps to a bounded claim supported by the analysis.
Driving question: This patient's glucose climbed from 92 to 151 mg/dL over twelve months and stayed above 99 for the last half of the year. Is that a chronic condition worsening, or could it be twelve unlucky test days?
What you already know: A time-series graph plots each value against time and its , so a rising or falling line makes a real trend visible in a way a column of numbers cannot, which is why graphing is the foundation of chronic-disease monitoring.
New idea: A trend describes direction, speed, and position relative to the , so reading the trend rather than any single value tells you whether a chronic condition is improving or worsening, because one reading can be distorted by a meal, stress, or lab error.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Analyze chronic trends. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Use the labels and arrows in F1 to identify the relationship that supports Analyze chronic trends.
- Observe or measure the relevant feature in analyze chronic trends.
- Organize the observation with a stable evidence ID.
- Apply this rule: Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
- Choose the option the evidence supports and state the limit of the conclusion.
Real biomedical example: This patient's glucose climbed from 92 to 151 mg/dL over twelve months and stayed above 99 for the last half of the year. Is that a chronic condition worsening, or could it be twelve unlucky test days?
What the evidence supports: E1-E3 and F1 support the daily take-home when the response meets the stated success criteria.
What it cannot prove: The package does not support claims beyond this lesson's or any real patient diagnosis.
- • : The amount of sugar dissolved in the blood, the body's main fuel, normally about 70 to 99 mg/dL when fasting and tightly controlled by .
- • : A waxy, fat-like substance that the body uses to build cell membranes and make hormones, but too much in the blood can clog arteries.
- • : Anything that raises a person's chance of developing a disease, such as smoking, family history, or high , without guaranteeing it.
- • telehealth: Delivering healthcare remotely using video calls, phone, or digital tools so patients and providers can connect without being in the same place.
- • wearable: A small electronic device worn on the body that continuously senses and records health data such as heart rate, steps, or oxygen level.
- • monitoring: The ongoing measurement of a patient's vital signs or condition over time to track changes and catch problems early.
- • : The span of values for a lab test or measurement seen in healthy people, used as a reference to flag results that may signal a problem.
Use it now: Choose one decision option. Cite E1 and E3, then explain how the rule connects the evidence to your choice.
Go further, optional: The source links below are optional enrichment. Every fact required for today's local evidence decision appears in this lesson package.
A planned study connects its question to defined variables, controls, sampling, measurement, and analysis so the resulting data can support a bounded and reproducible conclusion.
Limit: A statistical difference or trend does not automatically establish practical importance, causation, generalizability, or freedom from bias.
Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
Limit: A well-organized classroom study can still be limited by , measurement quality, confounding, and the population represented.
You can interpret longitudinal trends against ranges.
Limit: E3 defines the classroom product or success criterion. It is not independent scientific evidence and cannot justify a clinical or causal claim.
PLTW-PBT@P67-2026-10-16 · Simulated classroom evidence scenario
Your role: biomedical team member
Decision: Your team must decide what the evidence from analyze chronic trends supports before submitting the claim-evidence-reasoning response named on the lesson page.
- • Select the option best supported by E1-E3.
- • Select a reasonable alternative and name the evidence it would require.
- • Delay the claim because the evidence does not distinguish the options.
Response: State one choice, cite at least two evidence IDs, explain the rule that connects them, and add one limitation. Submit it as the claim-evidence-reasoning response.
Claim ceiling: Today's evidence supports a classroom claim about analyze chronic trends. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Reason for review: Your team must decide what the evidence from analyze chronic trends supports before submitting the claim-evidence-reasoning response named on the lesson page.
Context: A trend, described by its direction, speed, and position relative to the , turns a column of numbers into a clinical narrative about whether a patient is improving, worsening, or holding steady.
- • T1: Compare each marker's trend to its over time.
- • T2: Write a CER: is this patient's chronic condition improving or worsening?
- • T3: Explain how a single reading could mislead vs. a trend.
- • T4: Identify two variables that could affect a blood marker.
- • T5: State one limitation of wearable or self-reported data.
- • E1: A planned study connects its question to defined variables, controls, sampling, measurement, and analysis so the resulting data can support a bounded and reproducible conclusion.
- • E2: Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
- • E3: You can interpret longitudinal trends against ranges.
Measurements: Use only the measurements, units, graph, or counts supplied in today's task. No additional patient measurement is implied.
Figure finding: Teaching diagram for Analyze chronic trends. Use the labels and arrows to identify the decision-relevant relationship. This is a teaching model, not patient or experimental data.
Uncertainty: This is a composite classroom scenario. Missing history, measurements, or confirmation tests remain unknown and limit the conclusion.
Mean = sum of values / number of values. Median = middle ordered value. Range = maximum - minimum.
For 2, 4, 4, and 10: mean = 20 / 4 = 5, median = 4, and range = 10 - 2 = 8.
Mean, median, and range keep the measurement unit. Order the values before finding the median.
Calculate the requested summary for today's supplied values, then write what it reveals and what it hides.
Students often think Students believe a single dramatic high or low reading is enough to diagnose or rule out a chronic condition.. The trap: One reading reflects a single moment that a meal, stress, or lab error can distort, so only a trend of consistent readings over months signals a chronic condition; judging a patient on one number is how you both over-diagnose and miss real disease.
Note: This is a worked model on a parallel case (blood pressure), not today's answer. Study the structure and depth, then build your own CER for the glucose question.\n\nClaim: Patient B's blood pressure control is worsening across the six-month monitoring period.\n\nEvidence: From the time-series graph, systolic blood pressure rose from 128 mmHg at Month 0 to 148 mmHg at Month 5, and the last four readings all sat above the 120 mmHg upper edge of the normal band. Diastolic pressure showed the same upward direction, climbing from 82 to 94 mmHg over the same window.\n\nReasoning: The trend matters more than any single point. One high reading could come from stress, caffeine, or a cuff that was sized wrong, but four consecutive rising values above the normal band describe a real upward direction, which signals a chronic blood-pressure regulation problem rather than one stressful visit. Two variables that affect a blood pressure reading are physical activity and sodium intake in the hours before the measurement. A limitation is that a single home cuff is not always calibrated to clinical standards, so a clinician would confirm the pattern with repeated in-office measurements, and possibly 24-hour monitoring, before diagnosing hypertension or changing treatment.
This model shows the level of evidence and organization needed to complete: A parallel claim-evidence-reasoning model on a different bloodwork trend (blood pressure), showing how to read a time-series against a normal range and why a trend outweighs one reading, without arguing the glucose case students must argue today.
- Write one defensible claim.
- Choose specific evidence that supports the claim.
- Explain the scientific rule that connects the evidence to the claim.
Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.
Also due today: Upload the CER to the tracker or hand in the written copy by end of class.
- 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.
Tap the speaker to hear a term. Add two of these to your notebook glossary with a definition and an example in your own words.
Pick just 2 or 3 words from today and make them yours: write what each one means in your own words, name the context clue or evidence that helped, then give one example from what you actually did in Analyze chronic trends. Try your own words first; the glossary is there if you get stuck. This is voluntary and counts as extra credit, so keep it short.
Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.
Hand-picked readings and interactives for this lesson, from authoritative open organizations and PLTW's own public course outline.
Check yourself · commit, then reveal▸
Claim ceiling for this check: Today's evidence supports a classroom claim about analyze chronic trends. It cannot prove causation, diagnose a real patient, or justify action outside this room.
A patient's fasting glucose readings over six months are: 101, 108, 115, 122, 130, 138 mg/dL. Describe the trend and say what it suggests clinically.
Write an answer and pick a confidence to unlock the key.
Fast retrieval with instant answers, not the commit-then-reveal check above. Try each from memory first: write what you remember about the earlier units, then check yourself here.
Go further and get help▸
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.
Message your group for what they decided and why, then write your own contribution: your position, your evidence, and where you disagree.
Back in class. If you cannot reach your group, tell Mr. Mendoza and he will place you before the next working session.
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 through the one route named under Submit here and confirmed by the form receipt or the named physical handoff. Not in Schoology: that is where the report-card grade appears later.