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Study-unit NURSING BASED ON EFFICACY TRIALS

Course name Nursing
Study-unit Code 50023205
Curriculum Comune a tutti i curricula
CFU 5
Course Regulation Coorte 2016
Supplied 2017/18
Supplied other course regulation
Type of study-unit Obbligatorio (Required)
Type of learning activities Attività formativa integrata
Partition

BIOENGINEERING AND MEDICAL INFORMATICS

Code 50696901
CFU 1
Learning activities Altro
Area Altre attività quali l'informatica, attività seminariali ecc.
Sector INF/01
Type of study-unit Obbligatorio (Required)

Canale A

CFU 1
Lecturer Emilia Nunzi
Lecturers
  • Emilia Nunzi - Didattica Ufficiale
Hours
  • 15 Hours - Didattica Ufficiale - Emilia Nunzi
Language of instruction Italian
Contents Programma:

The course is organized as follows:

lectures on all subjects of the course;

2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation. For any further incormation, please contact Prof. Ing. E. Nunzi (emilia.nunzi@unipg.it).
Reference texts Lecture notes of the teacher

Barbara Christe "Introduction to Biomedical Instrumentation" The Technology of Patient Care 2009
Educational objectives The objectives of the module are: to provide an overview of the instruments for diagnostic, therapeutic and rehabilitation programs in use in the health and structure of computers and equipment connected to it; provide information on the potential and possibilities of application of information technology in the field of Biomedical Doctor, the risk factors linked to it, electrical safety, the basic principles for their proper use and provide an overview of the most popular technologies and used in healthcare; provide knowledge about the processes of data acquisition via computer.

The main skills (ability to apply knowledge acquired) will be the analysis and use of applications and biomedical instrumentation and their integration in the field of care.
Prerequisites Good knowledge of the basic statistical methodolgies.
Teaching methods The course is organized as follows:
- lectures on all subjects of the course;

- 2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation.
Other information For further information please contact the teacher Ing. E. Nunzi (emilia.nunzi@unipg.it)
Learning verification modality Oral exame
Extended program Programma:

The course is organized as follows:

- lectures on all subjects of the course;

- 2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation. For any further incormation, please contact Prof. Ing. E. Nunzi (emilia.nunzi@unipg.it).

Canale B

CFU 1
Lecturer Pier Giorgio Fabietti
Language of instruction Italian
Contents Principi di Bioingegneria ed Informatica Medica
Reference texts Dispense di "Bioingegneria ed Informatica Medica" a cura del docente.
Educational objectives Fornire informazioni e nozioni per un corretto utilizzo delle tecnologie biomediche, principi di funzionamento, campi di applicazione e fattori di rischio correlati,
Prerequisites Nozioni di base di Anatomia e Fisiologia.
Teaching methods Lezioni frontali in aula con proiezione di diapositive.
Esercitazioni al computer in aula informatica con l'utilizzo di applicativi per la risoluzione di esercizi su temi sanitari.
Learning verification modality Verifica orale
Extended program Corso di Bioingegneria e Informatica Medica
Programma
Introduzione al corso di Boingegneria e Informatica Medica
Le tecnologie Biomediche (I parte)
• Misure in campo Biomedico (misure invasive, non invasive, trasduttori, materiali biocompatibili)
• Lo sviluppo della strumentazione biomedica (criteri di classificazione e terminologie)
• Aspetti e caratteristiche generali delle apparecchiature biomediche (segnali biomedici, grandezze analogiche e discrete, prestazioni dei sistemi di misura, calibrazione, deriva, isteresi)
• Sicurezza e rischio nell’uso delle apparecchiature biomediche
• Principi generali di sicurezza elettrica delle apparecchiature elettromedicali.
• Effetti della corrente sul corpo umano (macroshock, microshock, prevenzione degli incidenti, nodo equipotenziale, trasformatore di isolamento)
• Classificazione dei locali ad uso medico
• Elettrocardiografo (struttura, derivazioni)
• Segnali Spaziali: Bioimmagini
• Tomografia Computerizzata, Tomografia ad Emissione di Positroni, Tomografia ad Ultrasuoni, Tomografia a Risonanza Magnetica Nucleare
• Appendice : Ingegneria Clinica, Definizioni
Informatica Medica (II parte)
• Introduzione
• Tipologie di Elaboratori
• Struttura hardware del computer
• Dispositivi di Input
• Dispositivi di Input/Output (memorie di massa)
• Dispositivi di Output
• Sistema Binario
• Sistemi Operativi
• Linguaggio macchina e linguaggi di programmazione evoluti
• La programmazione
• Le reti Intranet/Internet
• Sistemi informativi Ospedalieri
• Sistemi Informativi in Radiologia (RIS e PACS)
• L’Intelligenza Artificiale
• I Sistemi Esperti

EPIDEMIOLOGY

Code 50696902
CFU 2
Learning activities Base
Area Scienze propedeutiche
Sector MED/42
Type of study-unit Obbligatorio (Required)

Canale A

CFU 2
Lecturer Giuseppe Michele Masanotti
Lecturers
  • Giuseppe Michele Masanotti - Didattica Ufficiale
  • Fabrizio Stracci - Didattica Ufficiale (Codocenza)
Hours
  • 30 Hours - Didattica Ufficiale - Giuseppe Michele Masanotti
  • 10 Hours - Didattica Ufficiale (Codocenza) - Fabrizio Stracci

Canale B

CFU 2
Lecturer Giancarlo Pocetta
Lecturers
  • Giancarlo Pocetta - Didattica Ufficiale
  • - Didattica Integrativa
Hours
  • 30 Hours - Didattica Ufficiale - Giancarlo Pocetta
  • 15 Hours - Didattica Integrativa -
Language of instruction Italian

SCIENTIFIC EVIDENCES FOR NURSING

Code 50696801
CFU 1
Learning activities Caratterizzante
Area Scienze infermieristiche
Sector MED/45
Type of study-unit Obbligatorio (Required)

Canale A

CFU 1
Lecturer Rosita Morcellini
Lecturers
  • Rosita Morcellini - Didattica Ufficiale
Hours
  • 15 Hours - Didattica Ufficiale - Rosita Morcellini

Canale B

CFU 1
Lecturer Nicola Ramacciati
Lecturers
  • Nicola Ramacciati - Didattica Ufficiale
Hours
  • 15 Hours - Didattica Ufficiale - Nicola Ramacciati
Language of instruction Italian
Contents Put evidence in nursing
Reference texts Hamer S, Collinson G. (2002). Evidence-based practice. Assistenza basata sulle prove di efficacia. Milano: McGraw-Hill.Vellone E, Piredda M (2009). La ricerca bibliografica. Strumenti e metodi per trovare e utilizzare la letteratura sanitaria. 2aEd. Milano: McGraw-Hill.Handouts
Educational objectives After completing the course, participants will be able to:
- Learn about the history, philosophy and general principles of evidence-based nursing (EBN);
- Know the main sources of evidence (clinical trials);
- Know the main biomedical dtabases;
- Know the main approaches for obtaining evidence of effectiveness and related operational tools (guidelines, procedures and protocols);
- Read, analyze and evaluate the methodological quality of a clinical study and a guideline;
- Access to a database for the biomedical research of the literature.
Prerequisites None
Teaching methods Lectures, Critical analysis of publication on nursing science, literature research on PubMed and CINAHAL.
Other information None
Learning verification modality Written examination (multiple choice test)
Extended program EBN historyEBN and type of studies.Reading, analysis and evaluation of a study.Guide lines, procedures and protocols evidence-based.Methodology of scientific literature searchBiomedical databases: PubMed and CINAHLPractical exercises

HEALTH STATISTICS

Code 50696701
CFU 1
Learning activities Base
Area Scienze propedeutiche
Sector MED/01
Type of study-unit Obbligatorio (Required)

Canale A

CFU 1
Lecturer Fabrizio Stracci
Lecturers
  • Fabrizio Stracci - Didattica Ufficiale
Hours
  • 15 Hours - Didattica Ufficiale - Fabrizio Stracci
Language of instruction Italian
Contents The model of the scientific study

Definition and role of statistics in the biomedical field

descriptive Statistics

inferential statistics

Relationship between variables
Reference texts Statistica per Discipline Biomediche Glanz S . McGrawHill Milano 2007

Biostatistica Pagano M Gavreau K Gnocchi ed. Napoli 2003
Educational objectives Application of simple statistical analysis techniques

Understanding of the role of statistics in biomedical research

Critical reading of scientific articles that use statistical analysis techniques
Prerequisites none
Teaching methods Lectures and individual and group exercises
Learning verification modality The examination is based on a written test. An oral examination may be requested by students (optional).

Duration: 1h.

The written test requires the solution of three exercises. The exercises are designed to assess knowledge of descriptive statistics, statistical testing, and regression. Score (range 8-12) is indicated for each exercise and the sum of scores is 30 points.

Oral examination is intended to assess the general understanding of statistical methods. Duration about 20 minuts. The possibility to take the oral exam is limited to students which have passed the written test
Extended program 1. introduction

1.1 The statistical design of the scientific study

1.2 Role of statistics in biomedical sciences

2. Representation of data

2.1 Nature of the variables

2.2 Representation tabular data

2.3 Graphs

2.4 Representation of the phenomena using synthetic index numbers

2.5 Indices of central tendency

2.6 Indices of dispersion

3. chance

3.1 frequentist approach to probability

3.2 Distributions of probability theory

3.3 The normal distribution

3.4 Distributions theoretical and empirical applications

4. Statistical Universe and sample

4.1 Parameters and estimates

4.2 The sampling

5. statistical Inference

5.1 Point estimators and estimators intervallic

5.2 Confidence interval for the sample mean

5.3 Structure of the statistical test

5.4 The parametric tests: the Student t test and analysis of variance

5.5 Confidence interval for difference between two sample means

5.6 Non-parametric tests: the chi-square test

6. Study of the relationship between variables

6.1 The models such as simplified representation of reality

6.2 The simple linear regression model

6.2.1 Parameter estimation

6.2.2 The assessment of the significance of the regression line

6.3 Correlation between variables

Canale B

CFU 1
Lecturer Fabrizio Stracci
Lecturers
  • Fabrizio Stracci - Didattica Ufficiale
Hours
  • 15 Hours - Didattica Ufficiale - Fabrizio Stracci
Language of instruction Italian
Contents The model of the scientific study

Definition and role of statistics in the biomedical field

descriptive Statistics

inferential statistics

Relationship between variables
Reference texts Statistica per Discipline Biomediche Glanz S . McGrawHill Milano 2007

Biostatistica Pagano M Gavreau K Gnocchi ed. Napoli 2003
Educational objectives Application of simple statistical analysis techniques

Understanding of the role of statistics in biomedical research

Critical reading of scientific articles that use statistical analysis techniques
Prerequisites none
Teaching methods Lectures and individual and group exercises
Learning verification modality The examination is based on a written test. An oral examination may be requested by students (optional).

Duration: 1h.

The written test requires the solution of three exercises. The exercises are designed to assess knowledge of descriptive statistics, statistical testing, and regression. Score (range 8-12) is indicated for each exercise and the sum of scores is 30 points.

Oral examination is intended to assess the general understanding of statistical methods. Duration about 20 minuts. The possibility to take the oral exam is limited to students which have passed the written test
Extended program 1. introduction

1.1 The statistical design of the scientific study

1.2 Role of statistics in biomedical sciences

2. Representation of data

2.1 Nature of the variables

2.2 Representation tabular data

2.3 Graphs

2.4 Representation of the phenomena using synthetic index numbers

2.5 Indices of central tendency

2.6 Indices of dispersion

3. chance

3.1 frequentist approach to probability

3.2 Distributions of probability theory

3.3 The normal distribution

3.4 Distributions theoretical and empirical applications

4. Statistical Universe and sample

4.1 Parameters and estimates

4.2 The sampling

5. statistical Inference

5.1 Point estimators and estimators intervallic

5.2 Confidence interval for the sample mean

5.3 Structure of the statistical test

5.4 The parametric tests: the Student t test and analysis of variance

5.5 Confidence interval for difference between two sample means

5.6 Non-parametric tests: the chi-square test

6. Study of the relationship between variables

6.1 The models such as simplified representation of reality

6.2 The simple linear regression model

6.2.1 Parameter estimation

6.2.2 The assessment of the significance of the regression line

6.3 Correlation between variables
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