Name____________________________ Grade________ Date_____________
Artificial Intelligence Opportunities in Healthcare
Artificial intelligence is being used in healthcare for everything from answering
patient questions to assisting with surgeries and developing new pharmaceuticals.
A A recent study found that 83% of patients are bothered by communication levels in
medical institutions which do not meet their needs. AI technologies like natural
language processing, predictive analytics and speech recognition could help
healthcare providers have more effective communication with patients. AI could, for
instance, deliver more specific information about a patient’s treatment options,
allowing the healthcare provider to have more meaningful conversations with the
patient for shared decision-making.
B The University of Hawaii, where a research team found that deploying deep
learning AI technology can improve breast cancer risk prediction. More research is
needed, but the lead researcher pointed out that an AI algorithm can be trained on a
much larger set of images than a radiologist—as many as a million or more radiology
images. Also, that algorithm can be replicated at no cost except for hardware.
Another published study found that AI recognised skin cancer better than experienced
doctors. US, German and French researchers used deep learning on more than
100,000 images to identify skin cancer. Comparing the results of AI to those of 58
international dermatologists, they found AI did better.
C AI solutions—such as big data applications, machine learning algorithms and deep
learning algorithms—could also be used to help humans analyse large data sets to
assist in clinical and other decision-making. AI has the potential to detect and track
infectious diseases, such as COVID-19, tuberculosis and malaria as well. However,
“AI governance is necessary, especially for clinical applications of the technology,”
said Laura Craft, VP Analyst at Gartner, “because new AI techniques are largely new
territory for most health delivery organisations, there is a lack of common rules,
processes and guidelines for eager entrepreneurs to follow as they design their pilots.”
D One benefit the use of AI brings to health systems is making gathering and sharing
information easier. AI can help providers keep track of patient data more efficiently.
One example is diabetes which affects 10% of the US population. Patients can now
use wearables such as fitness bracelets that provide feedback about their glucose
levels to themselves and their medical team. AI can help providers gather that
information, store and analyze it, and provide data-driven insights from vast numbers
of people. Leveraging this information can help healthcare professionals determine
how to better treat and manage diseases.
E Organisations are also starting to use AI to help improve drug safety. The company
Selta Square, for example, is innovating the pharmaceutical vigilance (PV) process, a
legally mandated discipline for detecting and reporting adverse effects from drugs,
then assessing, understanding and preventing those effects. PV demands significant
effort and diligence from pharma producers because it’s performed from the clinical
trials phase all the way through the drug’s lifetime availability. The company uses a
combination of AI and automation to make the PV process faster and more accurate,
which helps make medicines safer for people worldwide.
F To sum up, AI provides opportunities to help reduce human error, assist medical
professionals and staff, and provide patient services 24/7. As AI tools continue to
develop, there is potential to use AI even more in reading medical images, X-rays and
scans, diagnosing medical problems and creating treatment plans. AI applications will
continue to help streamline various tasks, from answering phones to analyzing
population health trends (and, likely, applications yet to be considered). For instance,
future AI tools may automate or augment more of the work of clinicians and staff
members. That will free up humans to spend more time on more effective and
compassionate face-to-face professional care.
Do the following statements agree with the views of the writer in the Reading Passage?
Write:
YES if the statement agrees with the author.
NO if the statement does not agree with the author.
NOT GIVEN if there is no information about this in the passage.
1. Healthcare service consumers demonstrate a strong need for better communication.
..............
2. Breast cancer predicting AI algorithm requires no investment into computer
devices. ...........
3. Laura Craft believes that AI governance is important for the ethical use of AI.
..............
For the following questions, choose from the paragraphs (A-F). The paragraphs may
be chosen more than once. In which section does the author mention…
4. tasks that are unlikely to be completed by AI ...............
5. an authorized method of regulation aimed at improving a particular sector of the
healthcare industry ................
6. a specific device that needs to be connected to AI for its broader healthcare use
...............
WRITING
Task Instructions:
Write a "This I Believe" essay inspired by the article Artificial Intelligence Opportunities in Healthcare.
"Courage, Code, and Care: My Belief in Artificial Intelligence"
Emphasize the human-AI connection in healthcare or beyond.
✅ Your essay should:
Clearly state your personal belief about AI (e.g., how AI can help people, change lives, or shape the future).
Use the STAR model (Situation, Task, Action, Result) to structure at least one real or imagined example that
supports your belief.
Include at least one anecdote, dialogue, or personal experience to bring your writing to life.
Be organized with an introduction, body, and conclusion.
Be clear, thoughtful, and reflective. Reflect on why this belief matters and what it means for the future
Assessment Criteria
Use the following rubric to assess the students' final written reflections and peer feedback:
Criteria
Clarity of Belief
Supporting
Details
Organization
Engagement
Grammar and
Language
Excellent (7-8)
Clear and concise
belief
Well-developed
examples and
reasoning
Well-organized and
easy to follow
Thought-provoking
and reflective
Few to no errors
Clear belief with Belief is somewhat
minor issues
unclear
Needs Improvement
(1-2)
Belief is unclear or too
vague
Clear examples
and reasoning
Few or no examples or
reasoning
Good (5-6)
Satisfactory (3-4)
Some examples or
reasoning
Organized with Somewhat
Disorganized or hard
minor issues
disorganized
to follow
Engages with the Some engagement, but Lacks engagement or
topic well
lacks depth
reflection
Many errors, difficult
Few errors,
Some errors, but
to understand
mostly clear
understandable
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Answer key:
1. Yes
2. No
3. NG
4. F (That will free up humans to spend more time on more effective and
compassionate face-to-face professional care.)
5. E (pharmaceutical vigilance process, a legally mandated discipline for detecting
and reporting adverse effects from drugs, then assessing, understanding and
preventing those effects)
6. D (Patients can now use wearables that provide feedback about their glucose
levels to themselves and their medical team. AI can help providers gather that
information,...)