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IAPP AIGP Exam - Topic 1 Question 20 Discussion

Actual exam question for IAPP's AIGP exam
Question #: 20
Topic #: 1
[All AIGP Questions]

CASE STUDY

Please use the following answer the next question:

A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant Agreed-upon criteria (e.g., a confidence score below a threshold).

To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.

The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.

The most significant risk from combining the healthcare network's existing data with the clinical research partner data is?

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Suggested Answer: A

The most significant risk from combining the healthcare network's existing data with the clinical research partner data is privacy risk. Combining data sets, especially in healthcare, often involves handling sensitive information that could lead to privacy breaches if not managed properly. De-identified data can still pose re-identification risks when combined with other data sets. Ensuring privacy involves implementing robust data protection measures, maintaining compliance with privacy regulations such as HIPAA, and conducting thorough privacy impact assessments. Reference: AIGP Body of Knowledge on Data Privacy and Security.


by Ena at Dec 06, 2024, 02:14 PM

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Lera
3 months ago
Not sure if privacy is the biggest risk, what about reputational issues?
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Matthew
4 months ago
Agreed, privacy is a huge concern here.
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Lizette
4 months ago
Surprised they didn't mention operational risks!
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Lauran
4 months ago
I think security risk is more significant, though.
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Julianna
4 months ago
Definitely a privacy risk with patient data involved.
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Daron
5 months ago
Reputational risk could be a factor too, but I agree that privacy seems to be the primary risk in this scenario.
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Cassie
5 months ago
I recall a practice question about operational risks, but this seems more focused on privacy since it involves sensitive health information.
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Alfreda
5 months ago
I’m not entirely sure, but I think security risks could also be a big issue when combining datasets. There might be vulnerabilities.
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Dana
5 months ago
I remember we discussed privacy risks in class, especially with patient data. It feels like the most significant concern here.
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Jesus
5 months ago
Security is probably the biggest risk. Bringing together all this medical data in the cloud creates a prime target for cyber attacks and data breaches. I'll need to focus on evaluating the security measures in place.
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Benedict
5 months ago
The privacy risk is the most significant concern here. Combining sensitive healthcare data from multiple sources raises major privacy and data protection issues that need to be carefully managed.
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Jolanda
5 months ago
Hmm, I'm a bit unsure about this one. There are a lot of moving parts with the healthcare network, the cloud provider, and the clinical research partner. I'll need to read through it a few times to make sure I understand all the key elements.
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Stephania
5 months ago
This seems like a straightforward case study question about the risks of combining healthcare data. I'll need to carefully consider the details provided and think through the potential issues.
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Elouise
1 year ago
I'm just hoping the algorithm doesn't get too 'creative' and start diagnosing Bigfoot or the Loch Ness Monster. That would be a real 'monster' of a problem!
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Glen
1 year ago
Myong: Definitely, they need to make sure all data is secure and protected.
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Lavina
1 year ago
User 3: Yeah, I agree. Privacy is a huge concern when dealing with healthcare data.
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Myong
1 year ago
User 2: I think the biggest risk is privacy.
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Cherry
1 year ago
User 1: Haha, that would be a nightmare!
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Herschel
1 year ago
I believe operational risk is the most significant, as it could impact the efficiency of the AI solution.
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Deeanna
1 year ago
But what about security risk? That could also be a big issue.
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Hyun
1 year ago
I agree with Raina, privacy risk is a major concern when combining data.
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Leatha
1 year ago
B) Security risk is also a concern. Merging datasets increases the attack surface and potential for data breaches.
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Van
1 year ago
D) Reputational risk seems more likely. If the algorithm makes mistakes or the data sources are not properly vetted, it could damage the healthcare network's reputation.
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Noemi
1 year ago
D: Reputational risk is definitely a major concern if the algorithm fails or the data is not reliable.
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Theodora
1 year ago
C: Operational risk could impact the efficiency and effectiveness of the algorithm.
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Glen
1 year ago
B: Security risk is also important to consider when dealing with sensitive healthcare data.
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Kanisha
1 year ago
A: I think privacy risk is a big concern when combining data from different sources.
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Raina
1 year ago
I think the most significant risk is privacy risk.
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Jina
1 year ago
I think the answer is A) Privacy risk. Combining patient data from different sources raises concerns about data privacy and consent.
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Reuben
1 year ago
I think operational risk could also be a significant issue when combining data from different sources.
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Carlee
1 year ago
That's a good point, security risk is definitely a concern when dealing with sensitive patient data.
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Florinda
1 year ago
But what about the risk of security breaches when combining data from multiple sources?
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Audrie
1 year ago
I agree, combining data from different sources can definitely raise privacy concerns.
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