Current Developments in Electronic Health Records (Sommersemester 2024)
Dozent:
Prof. Dr. Bernhard Renard
(Data Analytics and Computational Statistics)
,
Jan-Philipp Sachs
(Data Analytics and Computational Statistics)
,
Susanne Ibing
(Data Analytics and Computational Statistics)
,
Linea Schmidt
(Data Analytics and Computational Statistics)
,
Stefan Kalabakov
(Digital Health - Connected Healthcare)
Allgemeine Information
- Semesterwochenstunden: 2
- ECTS: 3
- Benotet:
Ja
- Einschreibefrist: 01.04.2024-30.04.2024
- Prüfungszeitpunkt §9 (4) BAMA-O: 23.04.2024 (1st presentation)
- Lehrform: Seminar
- Belegungsart: Wahlpflichtmodul
- Lehrsprache: Englisch
- Maximale Teilnehmerzahl: 12
Studiengänge, Modulgruppen & Module
- DANA: Data Analytics
- HPI-DANA-K Konzepte und Methoden
- DANA: Data Analytics
- HPI-DANA-T Techniken und Werkzeuge
- DANA: Data Analytics
- HPI-DANA-S Spezialisierung
- CODS: Complex Data Systems
- HPI-CODS-K Konzepte und Methoden
- CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
- CODS: Complex Data Systems
- HPI-CODS-S Spezialisierung
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-K Konzepte und Methoden
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-T Techniken und Werkzeuge
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-S Spezialisierung
- SECA: Security Analytics
- HPI-SECA-K Konzepte und Methoden
- SECA: Security Analytics
- HPI-SECA-T Techniken und Werkzeuge
- SECA: Security Analytics
- HPI-SECA-S Spezialisierung
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization
- OISY: Online and Interactive Systems
- HPI-OISY-C Concepts and Methods
- OISY: Online and Interactive Systems
- HPI-OISY-T Technologies and Tools
- OISY: Online and Interactive Systems
- HPI-OISY-S Specialization
- MALA: Machine Learning and Analytics
- HPI-MALA-C Concepts and Methods
- MALA: Machine Learning and Analytics
- HPI-MALA-T Technologies and Tools
- MALA: Machine Learning and Analytics
- HPI-MALA-S Specialization
Beschreibung
This literature seminar is designed for master-level students interested in the cutting edge of research based on Electronic Health Records (EHR). Given the growing digitization in hospitals (including those in Germany), there is a strong interest in the secondary application of EHR in clinical diagnosis and prediction tools, at both patient and population levels. With that starting point of this course, students will delve into the most current topics surrounding EHRs, including interoperability, data quality, patient phenotyping, and downstream application through clinical prediction models, including their development, evaluation, validation, and interpretation.
The course consists mainly of student presentations of recent, pre-selected publications from the field, followed by in-depth discussions.
For a first impression of possible publications, see below:
Learning Objectives:
- Understanding the fundamental principles of EHR
- Learning to identify open challenges and current topics in EHR research
- Learning to effectively communicate complex scientific topics in this field and lead a discussion
- Improving presentation and writing skills in English
Voraussetzungen
You should have an interest in medical informatics and a good knowledge of English (at least high school level). Presentations and discussions in this seminar will take place in English. In order to successfully achieve our project objectives, a high level of motivation and a time commitment appropriate for a 3 ECTS course will be required.
Leistungserfassung
60% presentation
30% writing
10% participation
Termine
We will have a kickoff meeting on April 9, 2024, at 3.15 PM in room K-2.03 (change of rooms possible at short notice) + Zoom to introduce the course topics and next steps - see details on moodle:
moodle.hpi.de/course/view.php
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