Publikationen

2014

A Mobile Electronic Patient Record System for a new Healthcare Professional in Germany: The agneszwei app

Sebastian Ahrndt, Andreas Rieger, and Sahin Albayrak, “A Mobile Electronic Patient Record System for a new Healthcare Professional in Germany: The agneszwei App”, Technical Report, Technische Universität Berlin, September, 2014, http://www.dai-labor.de/publikationen/899

Abstract

In rural regions of Germany, the demographic change is complemented by an impending doctor’s shortage affecting the healthcare of the population negatively. To counter this trend a new healthcare professional – named agneszwei nurse– was introduced. Giving a brief introduction to these new professionals, this work presents the agneszwei app: A mobile electronic patient record system that has been developed as working appliance specifically for the agneszwei nurses. Here, we want to emphasize the advantages developing such ICT-support following a flexible user-centred process presenting the results of a three month field test with six participants.

BibTeX

@TECHREPORT{Ahrndt2014d,
author = {Sebastian Ahrndt and Andreas Rieger and Sahin Albayrak},
title = {A Mobile Electronic Patient Record System for a new Healthcare Professional
in Germany: The agnes \textsuperscript{zwei} app},
institution = {DAI-Labor, Technische Universit\"at Berlin},
year = {2014},
month = {September},
publisher = {DAI-Labor, Technische Universit\"at Berlin},
url = {http://www.dai-labor.de/publikationen/899}
}

Personalized Fall Risk Assessment Tool by using the Data Treasure contained in Mobile Electronic Patient Records

Elif Eryilmaz, Sebastian Ahrndt, Johannes Fähndrich, and Sahin Albayrak, “Personalized Fall Risk Assessment Tool by using the Data Treasure contained in Mobile Electronic Patient Records”, In: Christian Lovis, Brigitte Seroussi, Arie Hasman, Louise Pape-Haugaard, Osman Saka, Stig Kjaer Andersen (Eds.), e-Health –For Continuity of Care, Studies in Health Technology and Informatics, European Federation for Medical Informatics, September, 2014, http://www.dai-labor.de/publikationen/894

Abstract

This work presents a novel approach for combining multiple Electronic Patient Records (EPRs) to a self-learning fall risk assessment tool. This tool is used by a new type of home-visiting nurses to track the fall risk of their patients. In order to provide personalized healthcare for elderly people, we combine multiple EPRs using an agent-based architecture, where each patient is represented by an associated agent. The patient agents are enabled to negotiate about possible fallrisk indicators recognized in the specific patient population under care. We use distributed information fusion and opinion aggregation techniques to elaborate new fall-risk indicators and in consequence to adapt the fall risk assessment tool.

BibTeX

@inproceedings{Eryilmaz2014,
author = {Elif Eryilmaz AND Sebastian Ahrndt AND Johannes F"ahndrich AND Sahin Albayrak},
title = {Personalized Fall Risk Assessment Tool by using the Data Treasure contained in Mobile Electronic Patient Records},
booktitle = {e-Health - For Continuity of Care},
year = {2014},
pages = {398--402},
editor = {Christian Lovis AND Brigitte Seroussi AND Arie Hasman AND Louise Pape-Haugaard AND Osman Saka AND Stig Kjaer Andersen},
volume = {205},
series = {Studies in Health Technology and Informatics},
organization = {European Federation for Medical Informatics},
publisher = {IOS Press},
doi = {10.3233/978-1-61499-432-9-1270}
}

Evaluation of a mobile EPR system for a new Healthcare Professional in Germany

Sebastian Ahrndt, Andreas Rieger, and Sahin Albayrak, “Evaluation of a mobile EPR system for a new Healthcare Professional in Germany”, In: Christian Lovis, Brigitte Seroussi, Arie Hasman, Louise Pape-Haugaard, Osman Saka, Stig Kjaer Andersen (Eds.), e-Health –For Continuity of Care, Studies in Health Technology and Informatics, European Federation for Medical Informatics, September, 2014, http://www.dai-labor.de/publikationen/895

Abstract

This work briefly introduces the evaluation of the agneszwei app, a mobile electronic patient record system for Android tablets that has been developed as working appliance for agneszwei nurses. Such nurses are a new form of healthcare professional, working as a doctor’s right hand with a special training in case-management. The app has been evaluated during a three month field test with six participants comprising approximately 2000 working hours and treating 174 patients (mean = 29).

BibTeX

@INPROCEEDINGS{Ahrndt2014c,
author = {Sebastian Ahrndt AND Andreas Rieger AND Elif Erylmaz AND Sahin Albayrak},
title = {Evaluation of a mobile {EPR} system for a new Healthcare Professional
in Germany},
booktitle = {e-Health -- For Continuity of Care},
year = {2014},
editor = {Christian Lovis AND Brigitte Seroussi AND Arie Hasman AND Louise
Pape-Haugaard AND Osman Saka AND Stig Kjaer Andersen},
volume = {205},
series = {Studies in Health Technology and Informatics},
pages = {1270},
month = {September},
organization = {European Federation for Medical Informatics},
publisher = {IOS Press},
doi = {10.3233/978-1-61499-432-9-1270}
}

2013

Preventing Elderly from Falls: The Agent Perspective in EPRs

Sebastian Ahrndt, Johannes Fähndrich, and Sahin Albayrak, “Preventing Elderly from Falls: The Agent Perspective in EPRs”, In: Yves Demazeau, Toru Ishida, Juan Manuel Corchado, Javier Bajo (Eds.), Advances in Practical Applications of Agent and Multi-Agent Systems, Lecture Notes in Computer Science, Springer, 2013, www.dai-labor.de/publikationen/818

Abstract

This work presents an approach combining multiple electronic patient records (EPR) to a self-learning fall risk assessment tool. We utilised the agentperspective to model the system, to address privacy issues and to evaluate different distributed information fusion and opinion aggregation techniques towards there applicability to the addressed domain. Each agent represents a single patient negotiating about unknown fall risk influences in order to adapt the fall-risk assessment tool to the population under care. In addition, we will outline the planned real-world case study.

BibTeX

@INCOLLECTION{Ahrndt2013a,
author = {Ahrndt, Sebastian and F\"ahndrich, Johannes and Albayrak, Sahin},
title = {Preventing Elderly from Falls: The Agent Perspective in EPRs},
booktitle = {Advances on Practical Applications of Agents and Multi-Agent Systems},
publisher = {Springer Berlin Heidelberg},
year = {2013},
editor = {Demazeau, Yves and Ishida, Toru and Corchado, JuanM. and Bajo, Javier},
volume = {7879},
series = {Lecture Notes in Computer Science},
pages = {1-12},
doi = {10.1007/978-3-642-38073-0_1},
isbn = {978-3-642-38072-3},
url = {http://dx.doi.org/10.1007/978-3-642-38073-0_1}
}

Agent vote against Falls: The Agent Perspective in EPRs

Dieser Beitrag wurde mit dem PAAMS’13 IBM Award of Scientific Excellence für seine wissenschaftliche Qualität ausgezeichnet.

Sebastian Ahrndt, Johannes Fähndrich, and Sahin Albayrak, “Agent vote against Falls: The Agent Perspective in EPRs”, In: Yves Demazeau, Toru Ishida, Juan Manuel Corchado, Javier Bajo (Eds.), Advances in Practical Applications of Agent and Multi-Agent Systems, Lecture Notes in Computer Science, Springer, 2013, www.dai-labor.de/publikationen/819

Abstract

In this work we present an agent-based fall-risk assessment tool which is self-learning. As part of a mobile electronic patient record (EPR) each patient is represented by its agent which helps to lift the treasure of data offered by combining multiple EPRs in order to reveal personalized health-care. To learn from the data provided by the population under care, we enabled the patient agents to negotiate about possible fall-risk indicators using a distributed information fusion and opinion aggregation technique.

BibTeX

@INCOLLECTION{Ahrndt2013b,
author = {Ahrndt, Sebastian and F\"ahndrich, Johannes and Albayrak, Sahin}, 
title = {Agents Vote against Falls: The Agent Perspective in EPRs}, 
booktitle = {Advances on Practical Applications of Agents and Multi-Agent Systems},  
publisher = {Springer Berlin Heidelberg},
year = {2013},
editor = {Demazeau, Yves and Ishida, Toru and Corchado, JuanM. and Bajo, Javier},
volume = {7879},
series = {Lecture Notes in Computer Science},
pages = {263-266},
doi = {10.1007/978-3-642-38073-0_23},
isbn = {978-3-642-38072-3},
url = {http://dx.doi.org/10.1007/978-3-642-38073-0_23}
}

 2012

Entwicklung einer mobilen elektronischen Patientenakte für die Versorgung in ländlichen Regionen

Sebastian Ahrndt, Andreas Rieger, and Sahin Albayrak, “Entwicklung einer mobilen elektronischen Patientenakte für die Versorgung in ländlichen Regionen”, In: Ursula Goltz, Marcus Magnor, Hans-Jürgen Appelrath, Herbert Matthies, Wolf-Tilo Balke, and Lars Wolf (Eds.), INFORMATIK 2012, Lecture Notes in Informatics (208), Gesellschaft für Informatik, p. 1167 – 1181, www.dai-labor.de/publikationen/727

Abstract

Die Entwicklung neuer Versorgungsformen für ländliche Regionen bringt Herausforderungen für eine zeitgemäße und zukunftsorientierte IT-Infrastruktur mit sich. Im Rahmen des agneszwei Projektes wurde eine Anwendung entwickelt, welche die Eigenschaften von modernen Tablets ausnutzt und Funktionen beinhaltet, die über eine reine elektronische Patientenakte hinausgehen. Diese Arbeit beschreibt die Anforderungsanalyse, die Entwicklung und die ersten Tests der agneszwei App.

BibTeX

@inproceedings{Ahrndt2012c,
author = {Sebastian Ahrndt AND Andreas Rieger AND Sahin Albayrak},
editor = {Ursula Goltz AND Marcus Magnor AND Hans-J\"urgen Appelrath AND Herbert Matthies AND Wolf-Tilo Balke AND Lars Wolf},
title = {{Entwicklung einer mobilen elektronischen Patientenakte f\"ur die ambulante Versorgung in l\"andlichen Regionen}},
booktitle = {INFORMATIK 2012},
series = {Lecture Notes in Informatics},
address = {Braunschweig, Germany},
publisher = {Gesellschaft f\"ur Informatik},
number = {208},
year = {2012},
pages = {1167--1181}
}

Predicting Fall Risk in Electronic Patient Records

Ariane Schenk, Sebastian Ahrndt, and Sahin Albayrak, “Predicting Fall Risk in Electronic Patient Records”, In: Ursula Goltz, Marcus Magnor, Hans-Jürgen Appelrath, Herbert Matthies, Wolf-Tilo Balke, and Lars Wolf (Eds.), INFORMATIK 2012, Lecture Notes in Informatics (208), Gesellschaft für Informatik, p. 1194 – 1198, www.dai-labor.de/publikationen/726

Abstract

The increasing progress in the development and deployment of electronic patient records (EPR), especially those for mobile devices like tablets, offers new opportunities for the health care sector. In the field of prevention, health care professionals can gain benefits from the consolidation of complementary data sources and the ubiquitous access to patient information. Hence, this work presents the results of a literature research done to identify fall indicators and their influence on patients fall risk. This work takes special interest in the specific needs of home visiting nurses and the data available through a mobile EPR.

BibTeX

@inproceedings{Schenk2012,
author = {Ariane Schenk AND Sebastian Ahrndt AND Sahin Albayrak},
title = {Predicting Fall Risks in Electronic Patient Records},
booktitle = {INFORMATIK 2012},
year = {2012},
editor = {Ursula Goltz AND Marcus Magnor AND Hans-J\"urgen Appelrath AND Herbert Matthies AND Wolf-Tilo Balke AND Lars Wolf},
series = {Lecture Notes in Informatics},
address = {Braunschweig, Germany},
publisher = {Gesellschaft f\"ur Informatik},
number = {208},
pages = {1194--1198}
}

Das Sturzrisiko von zu Hause lebenden älteren Menschen – Entwicklung einer Sturzrisikoerhebung für die Verwendung in elektronischen Patientenakten

Ariane Schenk, “Das Sturzrisiko von zu Hause lebenden  älteren Menschen – Entwicklung einer Sturzrisikoerhebung für die Verwendung in elektronischen Patientenakten”, Evangelische Hochschule Berlin, FR Pflegemanagement, Bachelor-Thesis, Note: 1.0

 

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