| Course | EDP 818 Cognitive and Affective Principles in Psychology |
|---|---|
| Module | Module 6 |
| Paper type | Doctoral decision making paper |
| Length | About 1,043 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | Doctor of Education |
| Updated | October 2026 |
Free sample paper for EDP 818 Module 6
When to Trust a Gut Feeling: Decision Science for Escalating Patient Care
Student Name
Doctor of Education Program, Aspen University
EDP 818: Cognitive and Affective Principles in Psychology
Instructor Name
Month Day, Year
When to Trust a Gut Feeling: Decision Science for Escalating Patient Care
Ana, the new nurse whose attention lapse began an earlier module, faced a different problem at the composite Kansas City hospital two months later. A patient recovering from surgery seemed restless and pale. His heart rate was slightly high, his blood pressure slightly low, his oxygen level acceptable. Nothing alone crossed a threshold. Ana felt something was wrong but worried about calling the rapid response team for nothing. She waited an hour; by then the patient was bleeding internally and needed urgent surgery. Ana, the patient and the hospital are teaching inventions. This paper examines her decision through research on reasoning and judgment.
Heuristics and Biases
Tversky and Kahneman (1974) described three heuristics people use to judge probabilities and make predictions under uncertainty. Representativeness judges likelihood by similarity to a prototype. Availability leads people to rate events as frequent when instances spring to mind readily. Anchoring and adjustment starts from an initial value and adjusts insufficiently. Each is often useful but produces systematic biases. In Ana's case, anchoring on the patient's initial stable assessment and on numbers that were "only slightly off" may have kept her from updating as signs accumulated.
When Intuition Is Reliable
Kahneman and Klein (2009), representing the heuristics-and-biases and naturalistic decision-making traditions, set out the conditions on which they agreed. Gut judgments deserve trust, they agreed, only where the setting follows regular patterns and the judge has had long practice with prompt, accurate word on how things turned out. Experienced nurses in a hospital ward meet these conditions for many judgments: patterns of deterioration are regular enough, and years of seeing outcomes provide feedback. New nurses have not yet had enough practice. Ana's sense that something was wrong was probably based on real cues, but she could not know whether to trust it.
Simple Heuristics That Work
Gigerenzer and Gaissmaier (2011) reviewed research showing that simple heuristics, which ignore part of the information, can be accurate and sometimes outperform complex methods, especially when uncertainty is high and data are limited. They described fast-and-frugal trees, which ask a few questions in order and reach a decision quickly, and cited medical examples in which such trees performed well. From this view, the problem is not that people use heuristics but that they need the right ones for the environment.
| View | Risk or strength | Decision aid |
|---|---|---|
| Heuristics and biases | Anchoring on early stable assessment | Reassess at set intervals; ask "what has changed?" |
| Conditions for intuition | New nurses lack feedback to trust their gut | Escalation debriefs with outcome feedback |
| Simple heuristics | Need quick, reliable rules | Early warning score with clear call thresholds |
| Worry as a cue | Experienced nurses' concern predicts deterioration | Rule: nurse worry alone justifies a call |
Decision Aids for Escalation
Three aids follow from the research. First, an early warning score combines vital signs into a single number with clear thresholds for action, a simple heuristic that does not require new nurses to weigh many small changes. Second, the hospital will adopt a rule, already used in some systems, that a nurse's worry is by itself sufficient reason to call the rapid response team, removing the fear of calling "for nothing." Third, because Kahneman and Klein identify feedback as the basis of expertise, the residency will debrief every escalation decision, telling residents what happened to patients after they called or chose not to call.
Addressing Anchoring
Anchoring will be addressed by teaching residents to reassess patients at set intervals by asking what has changed since the last assessment, rather than confirming the earlier picture.
Limits
The heuristics research comes largely from laboratory tasks, and early warning scores can miss some deteriorating patients. The aids work together rather than alone.
Why Worry Is a Valid Cue
The worry rule might seem to contradict research on bias, but the conditions set out by Kahneman and Klein (2009) explain why it does not. Experienced nurses' worry is a judgment formed in an environment with regular patterns of deterioration and years of feedback on outcomes, the conditions in which intuition becomes reliable. Studies of rapid response systems have found that nurse concern often precedes measurable deterioration. For new nurses, worry is less reliable, but the costs are asymmetric: an unnecessary call costs a few minutes of the team's time, while a delayed call can cost a life. A rule that treats worry as sufficient accepts some unnecessary calls to avoid dangerous delays.
Framing the Decision
Tversky and Kahneman's later work showed that the way a choice is framed affects decisions. Ana framed her choice as risking embarrassment by calling "for nothing." The residency will reframe it: a call is a request for a second opinion, and the team's response, not the nurse, decides whether action is needed. Rapid response team members will be asked to thank callers whatever the outcome, so that calls are not experienced as tests.
Reviewing Decisions Without Blame
Feedback is valuable only if nurses are willing to report and discuss their decisions. Escalation debriefs will focus on what cues were present and what the outcome was, not on whether the nurse was right or wrong. Ana's case will be discussed, with her permission, as an example of a valid worry that was not acted on in time and of the conditions that made acting hard.
Availability and Recent Cases
Availability also shapes escalation. After a vivid case, such as a patient who deteriorated quickly, nurses on the unit may call more readily for a period; after a run of calls that turned out to be unnecessary, they may hesitate. Tversky and Kahneman (1974) showed that easily recalled examples distort estimates of frequency. The early warning score counters this by applying the same thresholds regardless of what happened last week, and escalation debriefs give residents a broader set of cases to draw on than their own few shifts provide.
Conclusion
Tversky and Kahneman showed how heuristics produce biases such as anchoring, Kahneman and Klein specified when intuition can be trusted and Gigerenzer and Gaissmaier showed that simple rules can work well. For the residency, a warning score, a worry rule and feedback on escalation decisions help new nurses decide well now while building the experience to trust their own judgment.
References
Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62, 451-482. https://doi.org/10.1146/annurev-psych-120709-145346
Kahneman, D., & Klein, G. (2009). Conditions for intuitive expertise: A failure to disagree. American Psychologist, 64(6), 515-526. https://doi.org/10.1037/a0016755
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131. https://doi.org/10.1126/science.185.4157.1124
Reading the EDP 818 Module 6 assignment instructions
The sixth module of EDP 818 typically asks for a paper on reasoning and decision making. Use your Aspen course's Module 6 instructions; the hospital is a composite. Explain major approaches to judgment under uncertainty, including heuristics and biases and an ecological or naturalistic view. Explain when intuition is reliable. Apply the research to decisions in a professional setting. Propose decision aids or training with justification. Use APA 7, and avoid presenting heuristics only as errors, since the research also shows when they work well. Address both the risks of relying on intuition and the risks of ignoring it, since experienced practitioners' intuitions are often valuable.
Inside the EDP 818 Module 6 example
Ana, a composite new nurse, hesitates to call a rapid response team for a patient whose numbers are borderline. Tversky and Kahneman describe representativeness, availability and anchoring and the biases they produce. Kahneman and Klein set out conditions for trustworthy intuition: a regular environment and adequate practice with feedback. Gigerenzer and Gaissmaier review evidence that simple heuristics, including fast-and-frugal decision trees, can perform well. A four-row table matches decision aids to each view, and the residency adopts an early warning score, a rule that a nurse's worry is sufficient reason to call and debriefs that give feedback on escalation decisions. Sections explain why the worry rule is justified, how framing affects escalation and how decisions will be reviewed without blame.
Where the marks sit in the EDP 818 Module 6 rubric
A strong decision paper presents competing views fairly and applies each where it fits. This example explains heuristics and biases and uses anchoring to explain a specific risk. It uses Kahneman and Klein's conditions to decide when new nurses' intuitions can be trusted, and Gigerenzer and Gaissmaier's work to justify a simple decision rule. The proposed aids reflect all three views. Feedback on escalation decisions addresses the condition experts need to develop reliable intuition. It also explains why a nurse's worry is a valid cue, drawing on the conditions for expert intuition, and attends to how the decision is framed to the nurse. The plan for blame-free review protects the feedback loop that expertise depends on, which is the paper's central insight.
Common EDP 818 Module 6 mistakes, and how to avoid them
Decision papers often present heuristics only as errors. Show where heuristics help and where they mislead. Use Kahneman and Klein's conditions to judge when to trust intuition. Match decision aids to the environment. Build in feedback, which expertise requires. Avoid recommending complex analysis for decisions that must be made quickly. Explain why some intuitions are valid cues and others are not. Consider how a decision is framed, since framing affects choices. Protect feedback by reviewing decisions without blame; people stop reporting when reviews punish them. Choose aids that fit the time available for the decision, and be clear about which situations each aid is for.
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EDP 818 Module 6 questions, answered
What does EDP 818 Module 6 usually ask for?
Aspen's EDP 818 covers reasoning and decision making in this module, so a paper applying research on heuristics and intuition to decisions at work is typical. Read your Module 6 prompt.
What are heuristics and biases?
Tversky and Kahneman's account of mental shortcuts, such as representativeness, availability and anchoring, that are often useful but produce systematic errors.
When can intuition be trusted?
Kahneman and Klein agreed it can be trusted in predictable settings where the person has practiced a great deal and learned quickly whether they were right.
Where can I find a free EDP 818 Module 6 sample paper?
The full paper is on this page: heuristics and biases, conditions for intuitive expertise, simple heuristics and decision aids for escalating care.
Can simple rules beat complex analysis?
Gigerenzer and Gaissmaier reviewed evidence that simple heuristics, including fast-and-frugal trees, can perform as well as or better than complex models in uncertain environments.