4 ECTS; 1º Ano, Anual, 24,0 TP , Cód. 20225.
Lecturer
- Luis Miguel Lindinho da Cunha Mendes Grilo (1)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Not applicable.
Objectives
This Course Unit provides contact with a variety of a) health information systems and b) online health services that allow students to perform better in terms of health management. It is also intended that students know how to c) implement basic security principles to protect information and know the associated legislation. The Curricular Unit also provides the presentation of of Statistical Methods, using whenever possible real data and giving particular relevance to the interpretation of outputs obtained with software, so that students acquire and consolidate knowledge at the level of: d) Exploratory Data Analysis, so that it can be used in the development and preparation of projects; e) Statistical Inference, which allow the development of capacities to conceive solutions, under conditions of uncertainty, for several problems that occur in Health Management.
Ensure access to inclusive, quality and equitable education and promote opportunities for lifelong learning for all (Sustainable Development Objective 4, according to the 2030 Agenda adopted by the United Nations General Assembly in September 2015).
Program
1. Health Information Systems
1.1 Concept and importance
1.2 Information Systems of the Ministry of Health
1.3 SPMS Information Systems Monitor
1.4 Monitoring of the National Health System
1.5 Health Information Directory
1.6 Healthcare apps
2. Online health services and Health 2.0
2.1 Concept and importance
2.2 Ministry of Health online services
2.3 The role of Web 2.0 in healthcare
2.4 Social networks and virtual communities in health
3. Cybersecurity
3.1 Concept and importance
3.2 Basic security principles
3.3 SNS cybersecurity initiative
3.4 Legislation
4. Fundamentals of Descriptive Statistics
4.1 Frequency Table
4.2 Measures of location, order, dispersion and form
4.3 Association measures, for quantitative and qualitative variables
4.4 Crossing variables
4.5 Graphical representation of results
5. Fundamentals of Statistical Inference
5.1 Notions of Sampling Theory
5.2 Independent samples and paired samples
5.3 Theory of Estimation
5.4 Confidence intervals for the mean
5.5 Decision Theory
5.6 Hypothesis testing for the mean and equality of means
5.6.1 Probability of significance
5.6.2 Confidence Intervals versus Hypothesis Tests
Evaluation Methodology
Work on information systems (35%), and a written test (65%) with the subject of statistical methods (classified from 0 to 20). Students are approved to the course unit if the final classification, rounded to the units, is equal to or higher than 10 values.
Students who did not pass approval in the normal season can take the exam - written test with all the subjects taught in the course (classified from 0 to 20).
Bibliography
- Mann, P. (2001). Introductory Statistics. New York: John Wiley & Sons, Inc
- Maroco, J. (2007). Análise Estatística com utilização do SPSS. Lisboa: Edições Sílabo
- Pereira, D. e Nascimento, J. e Gomes, R. (2012). Sistemas de Informação na Saúde: Perspetivas e desafios em Portugal. Lisboa: Edições Sílabo
- Ribeiro, J. (2019). Saúde digital: um sistema de saúde para o século XXI. Lisboa: Fundação Francisco Manuel dos Santos
Teaching Method
The programmatic contents are taught, using the support material provided in e-learning, and where students are encouraged to reflect and debate them. Subsequently, practical exercises to apply the acquired concepts are solved.
Software used in class
Excel spreadsheet and IBM SPSS statistical package.
