To what extent has big data improved the management of individual health in Australia? (8 marks)
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Judgment Statement
- Big data has moderately improved individual health management in Australia.
- Strong impacts are seen in personalised care and remote monitoring.
- However, challenges such as privacy, low uptake and uneven access limit the overall extent.
Personalised and Preventive Care
- Evidence supporting this includes personalised treatment through analysing genetics, health records and lifestyle data.
- This allows more accurate diagnoses and tailored interventions for conditions like diabetes or asthma.
- Predictive analytics highlight at-risk groups earlier which can reduce the need for costly late-stage care.
- These outcomes show a direct link between big data and improved health management because individuals benefit from earlier detection and targeted treatment plans.
Privacy, Access and Adoption
- However, it is important to consider that privacy concerns and variable adoption weaken the impact.
- Many Australians remain cautious about My Health Record due to data breaches and lack of trust.
- Low digital literacy and poor connectivity in rural areas limit how individuals can use big data tools.
- Despite this, the stronger factor is that the systems already in place demonstrate clear health improvements when applied effectively.
Reaffirmation
- In conclusion, big data has moderately improved individual health management.
- Its strength lies in enabling earlier, tailored and more accurate care.
- Limitations such as privacy risks and unequal access reduce the overall extent, but government investment will see continued progress in this area.
- Therefore, the influence of big data is growing and is likely to expand its role in future health management.
Show Worked Solution
Judgment Statement
- Big data has moderately improved individual health management in Australia.
- Strong impacts are seen in personalised care and remote monitoring.
- However, challenges such as privacy, low uptake and uneven access limit the overall extent.
Personalised and Preventive Care
- Evidence supporting this includes personalised treatment through analysing genetics, health records and lifestyle data.
- This allows more accurate diagnoses and tailored interventions for conditions like diabetes or asthma.
- Predictive analytics highlight at-risk groups earlier which can reduce the need for costly late-stage care.
- These outcomes show a direct link between big data and improved health management because individuals benefit from earlier detection and targeted treatment plans.
Privacy, Access and Adoption
- However, it is important to consider that privacy concerns and variable adoption weaken the impact.
- Many Australians remain cautious about My Health Record due to data breaches and lack of trust.
- Low digital literacy and poor connectivity in rural areas limit how individuals can use big data tools.
- Despite this, the stronger factor is that the systems already in place demonstrate clear health improvements when applied effectively.
Reaffirmation
- In conclusion, big data has moderately improved individual health management.
- Its strength lies in enabling earlier, tailored and more accurate care.
- Limitations such as privacy risks and unequal access reduce the overall extent, but government investment will see continued progress in this area.
- Therefore, the influence of big data is growing and is likely to expand its role in future health management.