Exam 1 Prep
- Objectives: Intro to Biomedical Informatics
- Recognize the AMIA Academic Forum definition of biomedical informatics
- Explain why information and knowledge management are central issues in biomedical research and clinical practice
- Describe how integrated information management systems may affect the practice of medicine, the promotion of health, and biomedical research in coming years
- Define the following terms:
- Data, information, and knowledge
- Biomedical informatics
- Medical computer science
- Integrated information management environments
- Medical computing
- Clinical informatics
- Nursing informatics
- Bioinformatics
- Public health informatics
- Health informatics
- Explain why health professionals, life scientists, and students of the health professions should learn about biomedical informatics concepts and informatics applications
- Describe how the development of modern computing technologies and the Internet have changed the nature of biomedical computing
- Explain how biomedical informatics is related to clinical practice, public health, biomedical engineering, molecular biology, decision science, information science, and computer science
- Explain how information in clinical medicine and health differ from information in the basic sciences
- Explain how changes in computer technology and the way patient care is financed can influence the integration of biomedical computing into clinical practice
- Objectives: Research
- Identify and describe the steps of the research process
- Define, describe, compare, contrast, identify, recognize, or match definitions or examples for the following terms: (see footnote)
- Conceptual framework
- Hypothesis
- Model
- Problem statement
- Research question
- Science
- Theory
- Topic
- Objectives: Biomedical Data
- Define or identify clinical data
- Identify or list the components of a medical data point (datum), and be able to give an example of each
- Describe the relationship between uncertainty and data
- Explain how clinical data are used
- Identify or list three drawbacks of the traditional paper medical record
- Explain the potential role of the computer in data storage, retrieval, and interpretation
- Compare and contrast database and knowledge base
- Describe how data collection and hypothesis generation are linked in clinical diagnosis
- Recognize, identify, or define the following terms:
- Context
- Datum
- Data point
- Discrete data
- Free text
- Narrative text
- Structured data
- Unstructured data
- Identify alternatives for entry of data into a clinical database
- Be able to define data, information, and knowledge
- Recognize the Ackoff DIKW model
- Classify examples and statements into data, information, and knowledge
- Describe circumstances when data have no value
| Type | Section | Date Begin | Date End |
| Lectures | PowerPoint | 2/16 | 2/17 |
| Shortliffe Reading | Ch. 2 | ||
| Coiera Reading | Ch. 3, 5, 9, 10 |
- Objectives: Software
- Differentiate between an operating system and an application
- Describe the parts of a computer and their function
- Identify how a virtual machine can be used
- Describe the properties of memory and storage in terms of cost, storage duration, and volatility
- Describe how local area networks facilitate data sharing and communication within health care institutions
- Define, describe, compare, contrast, identify, recognize, or match definitions or examples for the following terms:
- Analog & Digital
- Bit & Byte
- A Byte is 8 bits.
- Scales of measure
- Compare and contrast analog and digital signals
- Define and describe analog-digital conversion, frequency, sampling rate, amplitude, ranging, precision, Nyquist frequency
- ADC: analog signals being converted to digital for storage in a computer.
- Sampling: The frequency at which a signal is converted/read/recorded.
- ADC Precision of Sampling: Degree to which the digital estimate matches the actual value; affected by bits (sampling and ranging).
- Ranging: The amplitude of the signal that can be captured; peak to peak.
- ADC Frequency of Sampling: 44kHz is high rate and ideal; needs to be frequent so as to catch narrow peaks.
- Nyquist Frequency: The need to sample at least 2x as frequently as the highest freq. component in a signal; rate calculated by doubling the highest freq.
- Describe the relationship between signal frequency and sampling rate
- Both need to be high for an accurate representation of the original analog signal. Ideally, sampling would be twice the signal freq.
- Describe information theory and its components
- Info Theory: Major problem is to reproduce messages exactly.
- Argues that info is a measurable physical quantity.
- Information source, such as a radio, is a component which produces a message.
- Transmitter is a component producing the suitable signal for transmission over a channel.
- Receiver component performs the reverse operation of the transmitter; reconstructing the message from the signal.
- Destination is the component for which a message is intended.
- Info Theory: Major problem is to reproduce messages exactly.
- Define noise
- Data without meaning.
- Identify key functions that software applications perform in health care
- Correctly identify stages of the software development life cycle
- Compare and contrast verification and validation
- Define and describe analog-digital conversion, frequency, sampling rate, amplitude, ranging, precision, Nyquist frequency