Summarize Written Text in PTE: The Role of Big Data in Healthcare

The “Summarize Written Text” section of the PTE Academic Speaking & Writing test is a critical part of the exam, where candidates summarize a provided reading passage in one sentence. The ability to identify key information, condense it without losing important meaning, and present it in clear, grammatically correct language is vital. In this article, we provide sample “Summarize Written Text” exercises related to the hot topic of Big Data in Healthcare, optimized for SEO and offering high-quality learning content for PTE exam preparation.

Let’s explore the relevance of this topic in the exam and practice with a real-modeled task.

Sample Summarize Written Text Practice: The Role of Big Data in Healthcare

Task Instructions

You will be given a text on the topic of “Big Data in Healthcare.” Summarize the text in one sentence. The summary must be between 5 to 75 words. You will have 10 minutes to complete the task.

Task 1: Summarize Written Text

Big Data refers to the large volume of healthcare data collected from various sources, including electronic health records, wearable devices, and genomic data. The significance of Big Data lies in its potential to analyze patterns, predict trends, and improve decision-making processes. By enabling more personalized treatments, improving disease prevention, and optimizing operational efficiency, Big Data is transforming patient care. In particular, predictive analytics facilitated by Big Data can help medical professionals identify at-risk patients and intervene before serious health issues arise. Moreover, real-time data analysis allows healthcare providers to monitor patients continuously, offering timely interventions when needed. However, despite the tremendous opportunities, there are challenges relating to data privacy, security, and the ethical use of such data, which require careful consideration to maximize its benefits.
Write your summary in one sentence.

Big Data's transformative role in healthcare applications

Sample Answers for Band Scores:

Band 90+ (Full Marks)

Big Data in healthcare offers transformative potential by enabling personalized treatments and predictive interventions, but concerns over privacy and security must be addressed to realize these benefits.

• Content: Excellent. The summary captures the main ideas about Big Data’s role in personalizing healthcare and the ethical concerns mentioned in the text.
• Form: 22 words, within the required length.
• Grammar: Perfect, no errors.
• Vocabulary: Advanced use of words (“transformative,” “personalized,” “predictive,” “interventions”).
• Spelling: No spelling mistakes.

Band 80

Big Data helps medical professionals provide personalized treatment and identify risks, but data privacy and security concerns pose challenges.

• Content: Solid. It includes crucial ideas but partially omits the point about real-time monitoring.
• Form: 19 words, length is within the limit.
• Grammar: Excellent, no errors.
• Vocabulary: Functional and clear, but less advanced than Band 90 (“identify risks” vs. “predictive interventions”).
• Spelling: No issues.

Band 70

Big Data improves healthcare through personalized treatments and real-time monitoring, but there are concerns about privacy and security.

• Content: Good, though it lacks sufficient emphasis on the predictive nature of Big Data and the ethical aspects briefly mentioned in the passage.
• Form: 18 words, well within length requirements.
• Grammar: Correct, no errors detected.
• Vocabulary: Appropriate for level (“improves,” “real-time monitoring”), but some advanced phrases are missing.
• Spelling: No mistakes.

Band 60

Big Data helps improve healthcare but has issues with privacy and security.

• Content: Incomplete, missing key points, including personalized treatment and real-time data usage.
• Form: 12 words, meets the minimum word requirement but lacks detail.
• Grammar: No errors, but the sentence is overly simple.
• Vocabulary: Basic expressions, could be more varied and precise.
• Spelling: Correct.

Vocabulary and Grammar

Below is a list of challenging vocabulary from the passage above, along with phonetic transcription, meaning, and contextual examples:

1. Predictive /prɪˈdɪk.tɪv/ – Relating to the ability to predict future outcomes based on data or trends.

   • Example: Predictive analytics in healthcare can identify high-risk patients.

2. Personalized /ˈpɜː.sən.ə.laɪzd/ – Tailored to an individual’s unique needs or characteristics.

   • Example: Personalized treatments provide better outcomes for patients.

3. Intervention /ˌɪn.təˈven.ʃən/ – Action taken to improve or alter a situation.

   • Example: Early intervention can prevent more serious health issues.

4. Efficiency /ɪˈfɪʃ.ən.si/ – The ability to accomplish a task with minimal waste of time and effort.

   • Example: Big Data increases the efficiency of healthcare operations.

5. Real-time /ˈriːəl taɪm/ – Instantaneous or occurring at the same time as the event being monitored.

   • Example: Real-time monitoring of patients enables prompt medical interventions.

6. Genomic /dʒɪˈnoʊ.mɪk/ – Relating to the complete set of genes or genetic material within an organism.

   • Example: Genomic data allows scientists to develop highly specific medical treatments.

7. Ethical /ˈeθ.ɪ.kəl/ – Relating to moral principles that govern behavior.

   • Example: The use of patient Big Data raises important ethical questions about privacy.

8. At-risk /æt rɪsk/ – More likely to experience a problem than others.

   • Example: The system flagged the patient as at-risk for cardiac arrest.

9. Transformative /trænsˈfɔː.mə.tɪv/ – Causing significant or revolutionary change.

   • Example: The transformative power of big data can reshape healthcare services.

10. Privacy /ˈpraɪ.və.si/ – The state of being free from unwanted public attention.

    • Example: Protecting patient privacy is crucial in handling medical data.

Challenges of Big Data including privacy and ethics

Conclusion

In conclusion, the Role Of Big Data In Healthcare is one of the most frequently covered topics in PTE, due to its increasing significance in modern medicine. Practicing summarizing texts on this topic helps candidates significantly improve their performance in the “Summarize Written Text” section. By reviewing various responses across band scores, as outlined above, you can learn how to better craft responses that maximize marks in Content, Grammar, and Vocabulary.

If you’re preparing for your PTE, try completing this task and leave a comment with your answer below for feedback!