تجاوز إلى المحتوى الرئيسي

MED 293 · الإحصاء الحيوي والمعلوماتية الصحية

السنة 2 · 16 محاضرة · 3 ساعات معتمدة

العناوين والأهداف منقولة من خطة كلية الطب الرسمية.

موقعها في الخطة الاسترشادية 2023: السنة الثانية، الفصل الصيفي

كيف تُحسب علامة المساق في الجامعة

مساقات السنة الأولى وبداية الثانية والمساقات النظرية، للطلبة المقبولين من 2018/2019

  • ٥٥٪اختباران فصليان (٢٧٫٥ علامة لكل منهما)
  • ٥٪الانضباط والسلوك والمواظبة
  • ٤٠٪الامتحان النهائي
تعليمات العلامات والامتحانات في كلية الطب

اسمها في خطط سابقة: biostatistics and health informatics

الخطة التفصيلية للمساق على موقع الجامعة

مواد ذات صلة في السنة الثانية

هذه الوحدة في جامعتك

المحاضرات وأهدافها

  1. 1. Population and Samples, Sampling Techniques, Data types and Data Sources

    Biostatistics

    • Understand the different types of data, their resources and their quality.
    • Describe different types of data, their resources and their quality and understand collection and flow of health data.

  2. 2. Descriptive statistics: Measures of central tendency and measures of variability

    Biostatistics

    • Develop measures that can be used to summarize a data set: mean, median, mode, percentiles, variance, standard deviation, and range.
    • Develop measures that can be used to indicate the amount of variation in the data set: percentiles, variance, standard deviation, and range.
    • Know what it means for a data set to be normal.
    • Discuss a measure of the degree to which a scatter diagram of paired values can be approximated by a straight line.
    • Discuss the empirical rule.

  3. 3. Probability

    Biostatistics

    • Understand the concept of the probability of an event.
    • Understand the properties of probabilities.
    • Understand the application of probabilities in assessment of screening tests and diagnostic tests.

  4. 4. Normal Distribution

    Biostatistics

    • Understand continuous random variables.
    • Understand normal distribution.
    • Understand standard normal distribution.
    • Understand the percentiles of a normal random variables.
    • Know how to convert normal distribution to standard normal distribution.

  5. 5. Sampling Distribution

    Biostatistics

    • Understand the concept of sampling from a population distribution.
    • Know the distribution (mean and variance) of the sample mean, proportion, difference between two sample means, and difference between two sample proportions.
    • Know the central limit theorem and its application in biological fields.

  6. 6. Estimation of population parameters (mean, proportion, difference between two means, and difference between two proportions)

    Biostatistics

    • Know how to use sample data to estimate a population mean, a population variance, and a population proportion.
    • Know how to compute point and interval estimates of the population parameters.

  7. 7. Hypothesis testing: Introduction

    Biostatistics

    • Understand a statistical hypothesis and know how to use sample data to test it.
    • Understand the difference between the null and the alternative hypothesis.
    • Understand the significance of a rejecting a null hypothesis or not rejecting it.
    • Understand the meaning of level of significance and p value.

  8. 8. Hypothesis testing: One-sample test / Two-sample test (independent samples)

    Biostatistics

    • Know how to test for population mean when population standard deviation is known.
    • Know how to test for population mean when population standard deviation is unknown.
    • Understand the importance of using a control in the testing of a new drug or a new procedure.
    • Know how to test the equality of two population means when the population variances are known.
    • Know how to test the equality of two population means when the population variances are unknown but assumed equal.
    • Know how to test the equality of two population means when the population variances are unknown but assumed unequal.
    • Know how to test the two-sample hypothesis using confidence interval approach.

  9. 9. Informatics in health care professions

    Health Informatics

    • Introduction to Information, Information Science and Information Systems.
    • Competencies and Skills.
    • Understand the definitions of the terms used throughout the material, including Medical Information Systems itself.
    • Recognize the role of Medical Information Systems in health care sectors, and the roles of Medical Information Systems in business.

  10. 10. Electronic health records (EHRs); Health information exchange (HIE); Components of Informatics Practice; The Informatics Team

    Health Informatics

    • Electronic health records (EHRs).
    • Health information exchange (HIE).
    • Components of Informatics Practice.
    • The Informatics Team.
    • The roles of Health Informaticians.
    • Understand the value of electronic health records data in clinical research.
    • Understand electronic health records as a data source, data quality, data elements in electronic health records.

  11. 11. Sub-specialties of the informatics

    Health Informatics

    • Understand different types of Medical Information Systems used in the health care sectors.
    • Sub-specialties listed: clinical informatics, imaging informatics, bioinformatics, public health informatics, nursing informatics, pharmacy informatics, clinical research informatics.
    • Consumer health informatics.

  12. 12. Medical information systems

    Health Informatics

    • Clinical information system.
    • Nursing information system.
    • Radiology information systems.
    • Laboratory information systems.
    • Pharmacy information systems.
    • Describe the main types of commercial HIS software.

  13. 13. Electronic Health Records Implementation, Big Data, Sensor Informatics, Mobile Health, Social Health

    Health Informatics

    • Electronic Health Records Implementation.
    • Big Data.
    • Sensor Informatics.
    • Mobile Health.
    • Social Health.
    • Health Data Challenges.
    • Big data analysis.
    • Understand the challenges in the analysis of data from electronic health records.

  14. 14. Secondary Analysis of Electronic Health Record

    Health Informatics

    • Introduce students to the EHR and their use.
    • Demonstrate knowledge of the development of EHR.
    • Describe the fundamental components and processes of health information systems.
    • Apply confidentiality and security measures to protect electronic health information.

  15. 15. Current Trends and Emerging Technologies

    Health Informatics

    • Current Trends and Emerging Technologies.
    • Digital Health Services.
    • Telehealth/Telemedicine.
    • Patient Privacy and Security.
    • EHRs and Documentation.
    • Artificial Intelligence (AI).

  16. 16. Evaluation Research in Health Informatics

    Health Informatics

    • Evaluation Research in Health Informatics.
    • What is the research?
    • Types of research.
    • Global health informatics.
    • Designs of research and their applications in health informatics.

عندك سلايدات أو محاضرات هذه المادة؟

زكي يشرحها ويبني منها أسئلة وبطاقات، مجاناً.

ارفع سلايدات هذه المادة