The document discusses key concepts for biomedical computing including the data-to-knowledge spectrum, data acquisition and storage, and security issues. It explains that data is raw facts, information is the analysis of data, and knowledge is gained from further analysis of information. Examples are given around blood pressure readings and diagnosing hypertension. The importance of concepts like organization, management, and technology for addressing challenges in biomedical computing are also outlined.

1. HCI 111
By Dr. Khaled Ouanes Ph.D.
E-mail: k.ouanes@seu.edu.sa
Twitter: @khaled_ouanes

2. Biomedical Data: Their Acquisition, Storage & Use
Data
Information
KNOWLEDGE
The Data-to-Knowledge Spectrum (data, information, knowledge)
CONSTANTLY EVOLVING CYCLE : KNOWLEDGE CHANGES

3. EXAMPLE:
Data is the raw facts
obtained e.g. My blood
pressure is 150/90.
Information is outcome of
analyzing data e.g.: My
blood pressure is high.
Knowledge is obtained from
analyzing information e.g.
hypertension is diagnosed
when blood pressure is
higher that 150/90.

4. Essential Concepts for Biomedical Computing
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8. Essential Concepts for Biomedical Computing
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9. Biomedical
Computing:
Security

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11. Essential Concepts for Biomedical Computing
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16. ISs can be described as organizational and management solutions to
challenges posed by the environment.
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Organization
Management
Technology