Themes

Sub-themes

1) Traditional methods of data collection

a. Well-chosen variable

b. Manual data collection

2) Modern ways of data collection

a. Recording more observations with larger numbers of variables (Big Data) using automatic devices

b. Growth of huge repositories, such as PubMed

c. High speed of data gathering from variety of data sources, such as Electronic Health Record, data from imaging modalities, medical devices, medical research, and so forth

3) Consequence of information explosion

a. The information of high relevance gets lost amidst big data generated and poses challenges for medical consultants

b. Veracity (biases, noise, and abnormality in data),

c. Validity (data accuracy for the intended usage), and

d. Volatility (duration of data storage)

4) Need for handling information overload

a. Develop Continuous Professional Development (CPD) course

b. E-Learning mode of training

c. Use of knowledge mining tools to deal with information overload, such as using WaX, decision-support, and so on