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Introduction to Medicine II: Information in Health

Code: MI108     Acronym: IMED2

Keywords
Classification Keyword
OFICIAL Medicine

Instance: 2009/2010 - 2S

Active? Yes
Web Page: http://sbim.med.up.pt/index.php?option=com_content&view=article&id=268&Itemid=409&lang=pt
Responsible unit: Biostatistics and Medical Informatics
Course/CS Responsible: Master Degree in Medicine

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MIMED 300 Mestrado Integrado em Medicina 2007 1 - 5 50 135

Teaching language

Portuguese

Objectives

The practice of Medicine, based on diagnosis, therapeutics and disease prevention, is increasingly demanding in terms of scientific methods and technologies of acquisition, storage, processing, analysis, transmission, assessment methods and assessment of medical knowledge. Introduction to Medicine I and II subjects, aim to motivate students to these methods and technologies so that as future medical doctors, they will have greater facility (a) to continuous learning, a crucial condition for their basic, specialized and continuous professional development; (b) to be aware of the attitudes and tools for the medical research, so important to the advancement of medical knowledge; (c) to be able to make assessments, essential for the medical audit and the continuous improvement of the health care quality; (d) to share the divulgation of information and communication among health professionals and patients; (e) to develop skills in decision making, a constant requirement for the individual in the social context of medical practice; (f) to promote an empathetic manner, the main quality of doctor-patient and inter professional relationships. Introduction to Medicine I: theory of Medicine course will teach theoretical foundations of Medical practice with focus on History of Medicine topics, Bioethics and Research Methodology in Health. Introduction to Medicine II: Health Information course will teach several topics on Biostatistics and Medical Informatics.

Program

Biostatistics: data processing: codification, data entry and preparation; descriptive statistics: categorical and continuous variables, frequency distribution and summary measures; data presentation: graphs and tables; inferential principles of statistics: parameter estimation, central limit theorem, standard error of the mean, confidence intervals and hypothesis test; mean comparisons: t – tests and One-Way ANOVA; non-parametric tests: Chi-square tests, Mann-Whitney, Kruskal-Wallis and Wilcoxon tests; Simple linear regression and correlation.
Medical Informatics: medical informatics: definitions and basic concepts; databases management systems: acquisition, storage and use of data; electronic patient records; bio signal processing and medical imaging; coding and classification systems; communication standards; security in health information systems; clinical decision support systems; telemedicine; assessment, costs and benefits of health information systems.

Teaching methods and learning activities

50 contact hours; 2 hours of lectures or seminars and 2 hours and 30 minutes theoretical-practical classes, per week.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description Type Time (hours) Weight (%) End date
Attendance (estimated) Participação presencial 0,00
Total: - 0,00

Eligibility for exams

Continuous assessment (6 marks: 0-20 scale): Covers the assessment of the student’s participation in the teaching and learning process of the discipline throughout the Semester. and specially, on questions that will be answered individually during the practical classes, up to 4 marks, and in the teachers opinion about each student, up to 2 marks. Each student should create a personal homepage.
Group Work (6 marks: 0-20 scale): Covers the assessment of a project, done by a group of students, orientated by a professor. The project themes are proposed by the teaching team at the beginning of Semester Typically, the projects include the implementation of a research protocol – including the data collection and analysis and presentation and discussion of results – and will be presented and discussed in a seminar. each group must submit in their work in the format of a scientific paper and web site.
Final Exam (8 marks: 0-20 scale) the students may only be admitted to the final exam if they have succeeded in the group work and have obtained 5 or more marks in the sum of the work and the continuous assessment. The exam covers the theoretical content of the program of the discipline, consisting of: (a) closed answer, multiple-choice and simple open questions (b) short answer and (c) numerical exercises. The assessment of the exam, for a total of 8 marks, will be made according to the following areas: Biostatistics (4 marks); Medical Informatics (4 marks). The exam is of 90-minute duration. Only the students who obtain a mark equal or higher than 1.6 at each area and a total mark equal or higher than 3.8 marks will have a pass.
Final assessment: after passing the final exam, the final marks of the discipline will be obtained by the sum of the averages of the continuous assessment, group work and the final exam.

Observations

Bibliography:
A great part of the pedagogical material of computer-assisted teaching and the diverse texts of support developed by the Teaching staff of the discipline are available on the Intranet. These Web pages may be consulted in the informatics laboratories of the discipline or by means of external computers as long as they have connections to Internet and have a personal login and password.
Other than this, the following books are still recommended:
Biostatistics
Statistics at a Glance Petrie A, Sabin C. Medical. 2nd Edition. Blackwell Science Inc, 2005.
Medical Informatics
Handbook of Medical Informatics Bemmel JH, Van Musen MA. Springer-Verlag, 2002; Guide to Health Informatics - Enrico Coiera. A Hodder Arnold Publication, 2003; Biomedical Informatics: Computer Applications in Health Care and Biomedicine Shotliffe EH, Cimino JJ. Springer 3th edition, 2006.
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