Content by Mike Urbanowski MD, PhD
As physicians and scientists, communicating complex concepts and ideas is central to our profession. In residency and beyond, you will likely deliver grand rounds presentations, case presentations, morbidity and mortality conferences, and conference posters. You will also lead inpatient teams and teach critical skills to your junior colleagues. Clear and effective communication is important to all of these endeavors.
Scroll
Your audience is lending you their time and attention. Delivering a presentation that is intentionally, for instance by lack of effort, unclear IS rude. To avoid rudeness, try to place yourself in the position of an audience member who does not know much about your topic. From this perspective, consider what clarity of content would look like to you.
Reassure your audience that it is alright "not to know." You’re here to help them understand — not to test them. No one learns well in a hostile room.
The goal is always clarity, but there are multiple ways to achieve a clear and aesthetically appealing presentation. Experiment, fail, get better. To emphasize this point, this final bullet point is set to Comic Sans, long demonized in the font world and among designers of professional presentations - yet it is fairly readable and there is no reason that a good presentation could not be typeset in Comic Sans.
Topics covered in this presentation.
1 | Learning Theory
Films like Inception are very complicated, but they are well received by audiences. Contrast this with a highly technical presentations where many professionals struggle to engage audiences and facilitate learning. I call this "the Inception paradox." Filmmakers and writers use a rich tradition of story design to draw in attention and facilitate learning. As physicians and scientists, we can learn from these cross-disciplinary practices.
A lot of inspiration for the content in this section comes from the writing guide Style: Lessons in Clarity and Grace. Although this is a resource for better writing, the ideas described in this book have a lot of relevance in the presentation preparation space.
Element #1: Continuity Our brains learn better with continuity of topics because the context surrounding a learning point helps trigger retention.
Element #2: Repetition Repetition in the introduction, content, and summary phases further facilitate learning and encourage retention.
So now you have two tools based on principles of learning theory that you can use to help with the initial planning of your presentations:
2 | Graphical Design
Our world (medicine, biology, chemistry, physics) is filled with complex and repeatable patterns driven by many factors and variables. These relationships are not always apparent to the viewer. However, graphics are leveraged to help our minds link these variables and make predictions. In fact, data charts and graphics are the most effective tool for telling complex data-centric stories.
Here are a couple historical examples...
These principles are drawn heavily from Edward Tufte’s famous The Visual Display of Quantitative Information. We’ll apply all four to a real dataset in a moment.
Examples of these guidelines being put into practice. The data at the right shows number of E. coli bacteria present in a cell culture given a certain amount of time after inoculation. Data points are present for strains of E. coli; a wild-type (normal) strain and a mutant strain. If we put this information directly into microsoft excel, you will get an image much like the first one seen directly below.
Notice the automatic graphic software has taken two dimensional data (an independent time variable and a dependent variable for number of bacteria) and created a three dimensional chart. The problem is that our eyes and minds live in a three dimensional world and so perceive things which are further away as larger. Graphic software does not make the same correction. Therefore, we can misinterpret three dimensional data very easily.
The data has two dimensions — time and cell count. The fix is to reduce the dimensionality of the graph to two dimensions.
Do we care about the height of each bar? — a couple hundred million or billion cells? Not really. We care about the trend. A bar areas do not contribute meaning and reduce the clarity thereby clouding the intention of the data chart.Instead, remove the bars and plot data-points instead.
The current graph has a shaded background, which only lowers contrast with the data. Remove it.
The horizontal gridlines invite us to read exact counts — but on this chart the exact number is not really needed to analyze trend. Remove them too.
Bacteria grow exponentially — with lag, log, stationary, death phases. A linear axis makes it hard to see these biologically relevant phases. Switch to a logarithmic scale.
Trim the axis, label the axes, size the type for a room, and distinguish the series by fill — not color (avoid red/green; use it sparingly).
Finally, just a couple more things to cleanup...
As powerful as graphs are for revealing complex natural phenomena, when implemented in an inappropriate way, they can also mislead the viewer. Being able to identify some high-yield pitfalls is important.
Avoid pie charts Social-network market share, 2017. Quick — is Pinterest bigger than YouTube? A pie encodes each value as an arc area, which the eye compares poorly. Illustrative shares, source: scc.ms.unimelb.edu.au (2017).
The same numbers as bars on a common baseline — now they rank themselves at a glance. When you need to compare parts, use bars, arcs.
Per-capita spending, 2017–2022. Spending like crazy! But look at the y-axis — it doesn’t start at zero. Illustrative figures.
Same data, honest baseline. When a bar’s area carries meaning in this scenario.
In Summary Be critical, be careful, and be truthful of your graphics.
| Software | Pros | Cons |
|---|---|---|
| Highly accessible to most residents. | Poor native graphical standards. Charts often require forced customization to achieve high graphical quality. | |
| Free, have options for integrated data analysis. | Steep learning curve. Also, optimized for analysis, and sometimes have limited graphical styling options. | |
| Easy to use, best graphical standards | Proprietary (expensive, less for students) | |
| Expansive chart types, free, allows high standards, capable of interactive and dynamic graphs for power creators. | Very steep learning curve |
3 | Presentation Engineering
PowerPoint offers dozens of options; when considering whether or not to use a transition or animation, ask whether the transition or animation will increase the clarity of the presentation.
PowerPoint is fundamentally a vector-graphics program. Every element is defined by math, not pixels — a position, a size, a color, and whether it’s visible. Magnify it 10,000× and it stays crisp. And because each of those properties is just a number, a single keystroke can change how an element looks.
Animations transitions control the flow of attention. Utilize animations and transitions that complement the theory of learning that we have already discussed.
| Transition/Animation | Menu | Parameter | Action |
|---|---|---|---|
| animations | visibility | Select this to make objects fade-in and fade-off of the screen. Often you will use "Fade" (green) to make objects appear in a certain order. | |
| transitions | Softness of slide advancement | Applies to an entire slide. Makes it so that one slide "softly" fades into another. | |
| animations | location of an object on the screen | object moves from starting point to new location specified by a planning line placed on the screen. | |
| transitions | many parameters | Gracefully coordinates the movement of many objects on a slide by implementing multiple simultaneous animations. This is organized by creating a copy of the slide that you want to animate and setting the new copied slide next sequentially in the slide deck. Apply the morph transition to the slide. Finally, for each object that you want to animate (move the object, enlarge the object, shrink the object, change color... for instance) change the parameter in the second slide. When you click to transition slides, a complex "morph" or multiple simultaneous animations will occur. |
Artificial intelligence has come a long way in the last few years. With such a rapidly evolving, complex, and powerful technology, it is hard to know how best to apply it to your work. How do we judge where to spend extra time working "by hand" versus letting AI do work in the background?
Do not use AI to analyze or visualize data directly. Instead, use AI to build tools to analyze and visualize data. Let's look at what this means...
Bottom line: let AI generate hard-coded, inspectable tools — scripts you can read and repeat with different inputs — that do the analysis and graphing.
4 | Typesetting
Typesetting:To arrange type (characters) or process data so that the composition of elements can be publicly presented.
Let's take a look at an example. Here is a fundamental phrase from a high-school biology textbook. Many viewers of this presentation will agree that there is something wrong with how it is typeset. It's small, unreadable, and placed strangely on the page.
Too small, cramped, oddly placed. Unreadable.
Now it overpowers the eye — also poor.
Themitochondriaisthe powerhouseof the cell.
Words cascade the way we read — top-left to lower-right — with emphasis by size and weight. Typesetting is always an artistic experiment; make it your own.
5| Deploying Presentations
You can pour weeks into a talk and a poor delivery still undoes it. A few things that protect the landing.
Your slides are not your notes. People learn better when more senses are engaged. Don’t read the text on the screen — let the visual carry the structure while your voice carries the teaching, and the two reinforce each other.
Practice — out loud, in an empty room, and then in front of mentors or colleagues who’ll give you honest, critical feedback.
Acknowledge complexity, then organize it. When something is genuinely hard, say so — and then take responsibility for bringing order to it. Take this classic:
Survivors and deaths, split by class and sex. There’s a lot going on. Rather than read every bar, let’s orient, then pull out the pattern. Counts: the classic Titanic dataset (Board of Trade inquiry, 1912).
Across every class, men died at far higher rates than women and children — “women and children first,” in the data.
And class mattered: first-class passengers were markedly more likely to survive than those in third. Now the audience can find their own trends.
On posters, put the most important thing — usually your novel data — at the visual center, where the eye is drawn. The layout can be a classic triptych, or something new; experiment.
And don’t linger. It’s tempting to labor over a slide and then talk to it for five minutes. Most audiences won’t follow. George Lucas built the Return of the Jedi sand barge over months in the desert — and put it on screen for seconds. Effort spent building a thing doesn’t entitle it to the audience’s time. Show the important part, then move on.
Review and Synthesis