In the PTE Speaking & Writing section, one of the most important tasks is the Summarize Written Text. This task requires candidates to condense complex information into a single sentence while maintaining essential content, correct grammar, and structure. One common theme in modern data-heavy discussions is “Big Data Applications In Healthcare.” This topic frequently appears in academic, technology, and healthcare scenarios, making it a likely candidate in Summarize Written Text prompts on the PTE exam.
Below, we’ve provided practice tests where you’ll be tasked with summarizing information about Big Data in Healthcare. We’ve followed the PTE exam structure to ensure utmost realism and provide multiple example responses evaluated on the official PTE marking system.
Example Summarize Written Text Task: Big Data in Healthcare Applications
Task Instructions
Read the text below. Summarize the text in one sentence. You will have 10 minutes to complete the task. Your response should be between 5 to 75 words.
Prompt Text:
Big data is transforming the healthcare industry by providing detailed insights into patient behaviors, medical outcomes, and treatment optimization. The ability to collect and analyze data from electronic health records (EHRs) and wearable devices allows healthcare providers to predict and tailor treatments for individual patients. Furthermore, big data helps in identifying population-wide health trends, improving preventive care strategies, and minimizing medical errors. Despite the immense potential, big data applications face significant challenges, including data privacy concerns, system integration obstacles, and the need for advanced analytical skills. Addressing these issues is vital to the continued success of big data initiatives in healthcare.
Sample Responses for Different Band Scores
High Band Score (79-90):
Big data enhances treatment personalization, improves preventive care through population trends analysis, but faces challenges like data privacy concerns and system integration obstacles, which must be addressed for successful implementation.
Content: Full points – Includes all key points (personalized care, population trends, challenges).
Form: Full points – Single sentence, correct length.
Grammar: Full points – Complex sentence with accurate subordinate clauses.
Vocabulary: Full points – A wide range of vocabulary (e.g., “enhances”, “personalization”, “implementation”).
Spelling: No issues.
Big data insights from healthcare applications
Mid Band Score (65-78):
Big data is improving healthcare by analyzing patient and population data, but challenges include data privacy and system integration.
Content: Reasonable, but missed some key details related to medical errors and analytical skills.
Form: Adequate – Single sentence, correct length.
Grammar: Minor issues in complexity, but still correct overall.
Vocabulary: Moderate range, lacks variation in some key areas.
Spelling: No issues.
Low Band Score (50-64):
Big data in healthcare helps with medical outcomes but faces problems like privacy and integration.
Content: Partial points – Lacks depth and misses some key points (e.g., wearable devices, preventive care).
Form: Correct – Single sentence, correct length.
Grammar: Simplistic structure with errors in clarity.
Vocabulary: Basic – Lacks complexity, repetitive word use.
Spelling: No issues.
Big data interactions through electronic devices in healthcare
Very Low Band Score (Below 50):
Big data in healthcare is important and has challenges.
Content: Poor – Lacks specific details, missing most key points.
Form: Correct structure, but too vague.
Grammar: Very simple and lacks coherence.
Vocabulary: Underdeveloped range; very basic words.
Spelling: No issues.
Vocabulary and Grammar Insights
Here are 10 advanced vocabulary words from the sample text, including pronunciation, meaning, and example usage:
-
Transforming /trænsˈfɔrmɪŋ/
Meaning: Making a thorough or dramatic change.
Example: The research team is transforming the way we understand genetic diseases. -
Insights /ˈɪnsaɪts/
Meaning: A deep understanding of a person or thing.
Example: Big data provides insights into patient behavior that were previously impossible to obtain. -
Optimization /ˌɑptɪmɪˈzeɪʃən/
Meaning: The action of making the best or most effective use of resources.
Example: The optimization of treatment plans could improve patient outcomes significantly. -
Wearable /ˈwɛrəbl/
Meaning: Technology designed to be worn on the body, usually electronic devices.
Example: Wearable health monitors allow continuous tracking of vital signs. -
Tailor /ˈteɪlər/
Meaning: To make or adapt for a particular purpose or person.
Example: Treatment plans are increasingly being tailored to each patient’s unique medical history. -
Preventive /prɪˈvɛntɪv/
Meaning: Designed to keep something undesirable from occurring.
Example: Big data allows for the preventive care of diseases before they develop. -
Minimizing /ˈmɪnɪˌmaɪzɪŋ/
Meaning: Reducing something to the smallest possible amount or degree.
Example: By analyzing patterns, big data aids in minimizing medical errors. -
Integration /ˌɪntɪˈɡreɪʃən/
Meaning: The process of combining parts into a whole.
Example: Integration of big data systems is crucial for effective healthcare solutions. -
Immense /ɪˈmɛns/
Meaning: Extremely large or great, especially in scale.
Example: The immense challenge of data privacy must be addressed. -
Analytical /ˌænəˈlɪtɪkl/
Meaning: Relating to the use of logical reasoning or analysis.
Example: Analytical skills are needed to interpret complex datasets in healthcare.
Challenges of big data integration in healthcare
Conclusion
This example practice question is reflective of the type of topics you might encounter in the PTE Speaking & Writing section, specifically within the Summarize Written Text task. Big Data in Healthcare is a trending and relevant theme in modern technology discussions, making it a suitable candidate for PTE exam practice. We encourage you to practice regularly using such prompts to hone both your summarization skills and your ability to manage complex vocabulary and grammar.
Feel free to practice often and share your answers in the comments below for further discussion and feedback!
