Unit MEDICAL AND SCIENTIFIC METHODOLOGY II
- Course
- Medicine and surgery
- Study-unit Code
- GP005549
- Location
- PERUGIA
- Curriculum
- In all curricula
- Teacher
- Fabrizio Stracci
- CFU
- 7
- Course Regulation
- Coorte 2016
- Offered
- 2017/18
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa integrata
BIOINGEGNERIA ED INFORMATICA MEDICA
Code | GP005612 |
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Location | PERUGIA |
CFU | 2 |
Teacher | Fortunato Bianconi |
Teachers |
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Hours |
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Learning activities | Affine/integrativa |
Area | Attività formative affini o integrative |
Academic discipline | ING-INF/06 |
Type of study-unit | Obbligatorio (Required) |
Language of instruction | Italian |
Contents | Health informatics and main concepts concerning medical instrumentation |
Reference texts | Appunti di Informatica medica (Fortunato Bianconi, disponibili su Unistudium) Appunti di Bioingegneria (Elisabetta M. Zanetti, disponibili su Unistudium) Anthony J. Wheeler, Ahmad R. Ganji Introduction to Engineering Experimentation (3rd Edition) Prentice Hall Bemmel, J.van “Handbook of Medical Informatics” Robert E Hoyt “Health Informatics: Practical Guide For Healthcare And Information Technology Professionals (Fifth Edition)” |
Educational objectives | The student will achieve the following results: • Ability to understand the performance of different sensors and data acquisition systems to make a reasoned choice. • Awareness of the main techniques of signal analysis in the time domain and frequency. • Capacity for critical analysis of the images. • Awareness of electrical hazards and precautions to minimize them. • being able to interact with the technology of ICT in the medical field, • know the coding tools in the medical field, • be able to formalize a clinical protocol in terms of algorithm, • know interact with databases, • Know the health information systems in their peculiarities, • know the approach proposed by the Systems Biology as a tool to interpret complex information in biomolecular level and turn them into therapeutic interventions |
Prerequisites | Maths and Physics from secondary school |
Teaching methods | Lectures with the use of slides (this material is uploaded on UNISTUDIUM for all registered students. Practical lessons to the computer. "Flipped classroom" approach for pratical applications. |
Learning verification modality | Written 2-hour test, mad of two parts: Bioengineering and Medical Informatics |
Extended program | Bioengineering (prof. Elisabetta M. Zanetti) • Sensors (4h) o Sensor specifications: accuracy, precision, bias, repeatability, linearity, range, sensitivity, hysteresis, temperature drift. o Calibrating a sensor o Meaning of the impedance in the input and output of a sensor o Transduction principles: piezoresistive, potentiometric, inductive, capacitive, piezoelectric sensors o Temperature sensors: thermocouples, RTDs, thermistors, pyrometers; o Fiber optic sensors • Signals and their treatment (4h) o Frequency analysis: utility, possible errors o Dynamic systems response o Analog / digital converters o Sampling a signal, Nyquist theorem, antialiasing filters o Amplifiers o Filters o Disturbances in the transmission of signals o Images and Bioimaging: resolution and depth, encryption, compression techniques o Specifications of a display o Editing an image: value processing of color or luminance; morphological operations o CT: operating principle • Risk factors in hospital (2h) o Classification of medical equipment according to risk classes o Electrical Hazard: Zone 'Patient', Effects of electricity (microshock, macroshock) o Classification of medical locations rooms. o Usefulness of 'grounded', earth contact, isolation transformer. o Equipment type B, BF, CF Medical Informatics (Prof. Fortunato Bianconi) • Information and medical coding (2h) o Algorithms and data structures for medical research • Data base (6h) o Introduction o ER models o Relational models o Data base query (SQL language) • Medical informatics (2h) o Current state of health informatics and FSE o Telemedicine o Standardised formats (XML,HL7, DICOM,..) • System Biology (2h) o Introduction to system biology o Description of biological systems o Properties of biological systems |
NURSING
Code | GP005614 |
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Location | PERUGIA |
CFU | 1 |
Teacher | Mirella Giontella |
Teachers |
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Hours |
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Learning activities | Affine/integrativa |
Area | Attività formative affini o integrative |
Academic discipline | MED/45 |
Type of study-unit | Obbligatorio (Required) |
Language of instruction | Italian |
MEDICAL STATISTICS
Code | GP005613 |
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Location | PERUGIA |
CFU | 3 |
Teacher | Fabrizio Stracci |
Teachers |
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Hours |
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Learning activities | Caratterizzante |
Area | Inglese scientifico e abilità linguistiche, informatiche e relazionali, pedagogia medica, tecnologie avanzate e a distanza di informazione e comunicazione |
Academic discipline | MED/01 |
Type of study-unit | Obbligatorio (Required) |
Language of instruction | Italian |
Contents | Study design in medical research Definitions and role of Statistics in medical research Descriptive statistics Statistical inference Correlation and regression Survival analysis |
Reference texts | Biostatistica Pagano M Gavreau K Gnocchi ed. Napoli Statistica per Discipline Biomediche Glanz S . McGrawHill Milano Peter Armitage, Geoffrey Berry, J. N. S. Matthews. Statistical Methods in Medical Research, 4th Edition Wiley-Blackwell |
Educational objectives | Students will be able to use basic statistical tools and concepts They will appreciate the role of statistics in medical research Students will be able to read critically and understand statistical methods used in research articles |
Prerequisites | none required |
Teaching methods | Theoretical lessons and practical training |
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 and multiple response test. 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. It is possible to 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 Statistics definitions and scope 1.2 Statistical methods in medical research 2. Data 2.1 Types of variables 2.2 Tabulation and processing of data 2.3 Diagrams 2.4 Descriptive statistics 2.5 Measures of central tendency 2.6 Measures of variability 3. Probability 3.1 Frequentist definition of probability 3.2 Probability distributions 3.3 The normal or Gaussian distribution 3.4 Probability distributions and applications 4. Populations and samples 4.1 Parameters and their estimation 4.2 Sampling 5. Statistical inference 5.1 Point and interval estimation 5.2 Confidence interval for the sample mean 5.3 Significance testing 5.4 Parametric Hypothesis Tests: Student’s t test and Analysis of Variance 5.5 Confidence interval for the difference between two means 5.6 Non-Parametric Hypothesis Tests: chi-squared test 6. Regression and correlation 6.1 Regression models 6.2 Linear regression 6.2.1 Linear regression equation: parameters estimation using the ordinary least squares method 6.2.2 Tests of significance in regression 6.2.3 Confidence interval for the linear regression coefficient b 6.3 Correlation 6.4 Critical reading of results from multivariable regression models 7. Evaluation of diagnostic tests 8. Time to event data analysis, an introduction |
PROFESSIONALISING TRAINING IN NURSING
Code | GP005615 |
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Location | PERUGIA |
CFU | 1 |
Teacher | Mirella Giontella |
Teachers |
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Hours |
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Learning activities | Altro |
Area | Tirocini formativi e di orientamento |
Academic discipline | MED/45 |
Type of study-unit | Obbligatorio (Required) |