Evaluate ethical data acquisition and best practice

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Reference no: EM132890258

DATA4200 Data Acquisition and Management - Kaplan Business School

Assessment - Unstructured data management

LO1: Evaluate ethical data acquisition and best practice with regard to project initiation
LO2: Evaluate options for storing, accessing, distributing and updating data during the life of a project

Assessment Description

Business Case: Artificial Intelligence (AI) in Cardiac Imaging

According to the world Health Organisation (WHO), cardiovascular disease is the leading cause of death across the globe. Cardiac image data, together with other tools, is used in the diagnosis of cardiac disease and disorders. It is now possible to apply AI algorithms to the cardiac image data in order to predict disease progression, as well as, uncovering new patterns and thus furthering clinical knowledge in this medical area.

There are now efforts to collect huge amounts of such images and share them with other medical professionals, eg. the euCanSHare project is in the process of "developing a data sharing and analytics platform to facilitate access to large-scale cardiac imaging and non-imaging data from multiple centers.

Furthermore, experts in AI are publishing and reviewing the best AI methods for cardiac imaging. Other authors are writing on the challenges of using algorithms in this area including data protection, patient permission and AI regulation.

Frontiers in Cardiovascular Medicine have produced a special issue which discusses six applications in the area of AI in cardiac imaging. See image below.

Assessment Instructions

1. Read the editorial article
2. Choose one of the areas of application from the image on the previous page.
3. Introduce the application area, eg. image reconstruction. (200 words)
4. Explain what sort of unstructured patient data could be used by an algorithm in the area you chose, eg. ultrasound images used in image reconstruction to detect anomalies. (200 words)
5. Discuss best practice and options for accessing, storing, sharing, documenting and maintenance of the patient data. (400 words)
6. Propose a question that could be asked in relation to your unstructured data and what software might help you to run AI and answer the question. (200 words)

REFERENCES
Make sure you have at least ten references. The KBS library is a good place to start. Use Harvard formatting.

Attachment:- Data Acquisition and Management.rar

Reference no: EM132890258

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