The “Summarize Written Text” task in the PTE Speaking & Writing section is one of the most crucial tasks that tests your ability to read a passage and summarize its main points in one sentence. In this article, we provide a sample practice task based on a frequently discussed topic, AI’s Role in Personalized Healthcare, to help you prepare effectively for your exam.
Overview of the Summarize Written Text Task
In the PTE “Summarize Written Text” task, candidates read a passage (150-400 words) and then summarize it into one sentence that captures its main ideas. Your answer is expected to be between 5-75 words. The topic could range across various fields, and one growing area of interest is the application of AI in personalized healthcare, a topic you may encounter during the exam.
In this article, we’ll provide a sample passage on AI’s role in personalized healthcare, followed by model answers at different band levels and detailed analysis to improve your understanding.
Sample Summarize Written Text – AI’s Role in Personalized Healthcare
Prompt
The role of Artificial Intelligence (AI) in healthcare has evolved significantly, particularly in the field of personalized healthcare. AI algorithms analyze vast amounts of data, such as genetic information, lifestyle choices, and patient medical histories, to recommend individualized treatments and preventive measures. By tailoring treatments to individual patients, AI has the potential to significantly improve patient outcomes. For instance, AI systems can predict disease risks based on patient-specific data, allowing for earlier interventions. Clinical decision support systems, powered by AI, can provide physicians with evidence-based recommendations, reducing diagnostic errors and improving treatment efficacy. However, there are challenges, including data privacy concerns and the potential for AI to exacerbate healthcare inequalities if misused. Despite these challenges, experts believe that AI-driven personalized healthcare will continue to expand, improving the accessibility and quality of treatments across diverse populations.
Task:
Summarize the text in one sentence. Your response should be between 5 and 75 words.
Sample Answers (Different Band Levels)
High Band (80-90)
AI plays a crucial role in personalized healthcare by analyzing vast amounts of data to create tailored treatments, predict disease risks, and improve patient outcomes despite existing challenges such as data privacy concerns and potential inequalities.
Analysis for High Band Answer:
- Content: The candidate clearly captures all key ideas from the passage, including the role of AI in data analysis, predictive capabilities, treatment improvements, and challenges like privacy.
- Form: Sentence remains grammatically sound and is under 75 words.
- Grammar: Strong grammatical accuracy with no errors.
- Vocabulary: Rich and appropriate vocabulary usage for the subject matter.
- Spelling: No spelling mistakes.
Mid Band (65-79)
AI helps personalize healthcare by analyzing data and predicting risks, but challenges such as privacy concerns and inequality remain.
Analysis for Mid Band Answer:
- Content: Most key elements are included, but the details regarding the precise nature of AI’s contribution to predictive analyses and improved patient outcomes are vague.
- Form: The sentence is structured within the word limit but could express more complexity.
- Grammar: There are no major grammatical issues.
- Vocabulary: Reasonable use of vocabulary, though simpler than expected for a high band.
- Spelling: Correct spelling throughout.
Low Band (50-64)
AI is used in healthcare to predict diseases and personalize treatment, but there are problems related to data privacy.
Analysis for Low Band Answer:
- Content: The information provided is too basic and misses important details such as improvements in patient outcomes and the challenge of healthcare inequalities.
- Form: The sentence is well within the word count, but the structure is too simple and lacks depth.
- Grammar: There are no significant grammatical issues, but the sentence lacks sophistication.
- Vocabulary: Basic vocabulary is used; words like “problems” can be replaced with more formal terms like “challenges.”
- Spelling: No spelling errors, though wording could be improved.
Vocabulary and Grammar Focus
Below are some key vocabulary words used in the text along with sample sentences to deepen your understanding:
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Personalized (ˌpɜːrsəˌnəlaɪzd) – Designed for a specific individual based on their needs.
- Example: Personalized treatment plans offer a higher chance of success for patients.
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Algorithm (ˈælɡərɪðəm) – A process or set of rules followed by a computer to solve problems.
- Example: The AI’s algorithm identified the best treatment for the patient’s condition.
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Tailor (ˈteɪlər) – To modify or adapt something to suit a particular person or purpose.
- Example: AI tailors healthcare strategies to the individual’s medical history.
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Intervention (ˌɪntərˈvɛnʃən) – Action taken to improve a situation, especially medical.
- Example: Early intervention prevented the spread of the disease in many patients.
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Diagnostic (ˌdaɪəɡˈnɒstɪk) – Related to the identification of an illness.
- Example: The diagnostic tool accurately screened for potential diseases.
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Exacerbate (ɪɡˈzæsərˌbeɪt) – To make a problem worse.
- Example: Unequal access to AI technologies could exacerbate healthcare disparities.
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Inequality (ˌɪnɪˈkwɒlɪti) – An unfair situation in which some people have more rights or better opportunities than others.
- Example: The adoption of AI in healthcare might lead to increased inequalities if not monitored.
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Outcome (ˈaʊtkʌm) – The result or effect of an action or event.
- Example: The outcome of AI-guided treatments has shown significant improvement in survival rates.
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Preventive (prɪˈvɛntɪv) – Intended to prevent something undesirable from happening.
- Example: The AI system suggests preventive measures for patients at risk of chronic diseases.
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Efficacy (ˈɛfɪkəsi) – The ability to produce a desired result or the effectiveness of something.
- Example: The efficacy of AI-powered diagnostics has been endorsed by several studies.
Conclusion
Summarizing written texts effectively in the PTE Speaking & Writing section is crucial for getting a high score. The topic of AI’s role in personalized healthcare is both timely and likely to show up in exam contexts. This topic encapsulates issues like data-driven healthcare, predictive medicine, and the challenges of ethics and privacy in medical AI. Practice consistently, focus on relevant vocabulary, and improve your summary skills by understanding key concepts thoroughly.
If you have any questions or want to practice more, feel free to leave a comment below!
