Week 10: Big Data

Question 1

Motivated by retaining our privacy

Question 2

Big data

Answer 2

Storage of personal medical records.

Question 3

Digital health

Answer 3

The storage of ‘big data’ for the purpose of furthering medical services, and improving overall health.

Question 4

What makes us uncomfortable around big data?

Question 5

Three V’s of big data. The components.

Answer 5

It encompasses Volume of information.
The Velocity, and the Variety.

Question 6

Two types of big data.

Answer 6

1) Structured data: Managed data by the organisation through databases and spreadsheets.
2) Unstructured data: Unorganised information that cannot be implemented in predetermined models.

Question 7

Six main implementation challenges of big data

Answer 7

1. Correctly distinguish big data from other forms. Big data is constantly changing, unlike traditional data which is static.

2.Big data is data that cannot be stored using traditional storage bases, as it is often times highly complex and voluminous. Costly upgrades in technology are require for successful implementation.

3. Data security: Much of big data is delving in the unknown, and requires more consideration into security. And capital…
4. Employing the right individuals/team. As previously mentioned, big data exists within much of the unknown, therefore, hiring others to match these skills is highly challenging.
5. The expansive scope of big data, and it’s unknown effects can can impose on accuracy. a) Certain variables are not considered simultaneously, despite the existing relation. b) Poor quality. c) Results can be biased. d) Misunderstood by the analytics team
6. Issues when processing the data employed.

*Big Data exacerbates issues by its sheer magnitude and expansive

Question 8

General Data Protection Regulation (GDPR)

Answer 8

EU Regulation 25 May 2018

Assign control of personal data to individuals, rather than big business. Fines of 4% of annual turnover of 20 million euros, for whichever is higher.

Question 9

Benefit of big data

Answer 9

Allows one to predict and change people’s behaviour.

Question 10

5 Principles for Big Data

Answer 10

1. Private customer data and identity should remain private.
2. Shared private data should be treated confidentially.
3. Customer should have a transparent view
4. Big Data should not determine free will
5. Big data should not institutionalise unfair biases.

Question 11

Privacy vs anonymity

Question 12

Collection and use of Big Data: AI

Answer 12

Technology that completes tasks better and faster than humans.

Question 13

Benefits of AI to the medical field

Answer 13

1. Improve the doctor-patient relationship, eliminate keyboards and computer screens, and reserve these activities for ai.
2. Accuracy and efficiency: Reduce error. Better disgnosis, predicitons, etc.
3. Only 5% of data is being analysed.
4. Treating patients at home, and not in hospitals.
   3.

Question 14

Sue Lauder introducing CBT therapy originally for BP sufferers through digital health methods.

Answer 14

Self-directed
Monitoring tools
Psycho education

Online intervention, quite a travel.
In their own time,
Less self-stigma

Question 15

Accenture Survey

Answer 15

Pre-Covid: Found that digital health had plateaued, and could only progress so far.

Covid: People were forced to consider digital health as an option. The experience gave way to

Question 16

Dissonance between demand of clients considering digital health, and professionals interested in offering digital health.

Answer 16

55% and 11%

Question 17

First impressions matter

Answer 17

A bad experience is likely to stall it’s usage, whether this be from outdated formats or insufficient medical help, 50% consider this a deciding factor.

A good experience withholds 39% of peoples consideration for continuing digital health treatment.

Also, 26% considers digital health a determining factor, suggesting future competition over quality digital health.

Question 18

Privacy, security and trust

Answer 18

Patient trust in healthcare providers dropped during the pandemic, and tech companies were second last trusted. The last being goverment at 39%.