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Data Collection I

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...

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Ethical Data Collection for Medical Image Analysis: a Structured Approach.

S T Padmapriya¹, Sudhaman Parthasarathy¹

¹Department of Applied Mathematics and Computational Science, Thiagarajar College of Engineering, Madurai, India.

Asian Bioethics Review

|June 26, 2023

Summary

Data science and AI accelerate healthcare research, but ethical concerns in medical image analysis data collection slow progress. This paper proposes an ethical framework to guide data scientists.

Keywords:

Data analytics Data collection Data ethics Data privacy Data science Medical imaging Research ethics

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Area of Science:

Healthcare research
Data science
Artificial intelligence

Background:

Technological advancements in data science and AI are driving healthcare research.
This progress leads to new disease diagnostic findings and predictions.
However, ethical concerns and legal hurdles impede data science applications in healthcare.

Purpose of the Study:

To discuss current practices, challenges, and limitations in medical image analysis (MIA) data collection for healthcare research.
To propose an ethical data collection framework for data scientists.
To address ethical considerations before data analytics on medical datasets.

Main Methods:

Literature review of current data collection practices in MIA.
Analysis of ethical challenges and risks in healthcare data science.
Development of a proposed ethical data collection framework.

Main Results:

Identified significant challenges and limitations in current medical image analysis data collection.
Highlighted the need for ethical guidelines to mitigate risks.
Proposed a framework to ensure ethical data handling in healthcare research.

Conclusions:

Ethical data collection is crucial for advancing data science in healthcare research.
The proposed framework aims to guide data scientists in navigating ethical complexities.
Implementing ethical practices will foster responsible innovation in medical data analytics.