Literature DB >> 33760934

[Real-time data from medical care settings to guide public health action].

Linus Grabenhenrich Mph1,2, Madlen Schranz3, Sonia Boender3, Theresa Kocher4, Janina Esins5, Martina Fischer5.   

Abstract

Real-time data from medical care settings play an increasing role in guiding public health action. The COVID-19 pandemic is a good example; public health decisions depend on current data from the various clinical care settings. The automated processing and communication of health-related data is essential to ensure continuity of reporting and safe resources. So far, various technical, formal, and organizational challenges help back the development of digitally automated real-time systems with scientific quality standards. The COVID-19 pandemic pushed sustainable system developments since it began in early 2020.This article describes how a real-time data system should be structured so that automated data processing is possible. Important aspects in the consolidation of the data and their preparation and communication are presented. The processes implemented for handling routine data from emergency departments in real time and making it available to public health actors is described. As an example, we present the cooperation between the emergency admission registry of the Aktionsbündnis für Informations- und Kommunikationstechnologie in Intensiv- und Notfallmedizin (AKTIN), the Universität Magdeburg, and the RWTH Aachen as well as the Surveillance Monitor (SUMO) hosted at the Robert Koch Institute.The development of modern systems for processing research data in real-time from medical care settings can only succeed through the cooperation of a wide variety of actors. An important basis for long-term success is the development of a legal framework.

Entities:  

Keywords:  Automation; COVID-19; Computer systems; Epidemiology; Health services research; Public health surveillance

Year:  2021        PMID: 33760934      PMCID: PMC7988254          DOI: 10.1007/s00103-021-03300-5

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  2 in total

1.  Balancing the need for big data and patient data privacy--an IT infrastructure for a decentralized emergency care research database.

Authors:  Janko Ahlbrandt; Dominik Brammen; Raphael W Majeed; Rolf Lefering; Sebastian C Semler; Sylvia Thun; Felix Walcher; Rainer Röhrig
Journal:  Stud Health Technol Inform       Date:  2014

2.  Glossary for public health surveillance in the age of data science.

Authors:  Arnaud Chiolero; David Buckeridge
Journal:  J Epidemiol Community Health       Date:  2020-04-24       Impact factor: 3.710

  2 in total
  2 in total

1.  Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021.

Authors:  T Sonia Boender; Wei Cai; Madlen Schranz; Theresa Kocher; Birte Wagner; Alexander Ullrich; Silke Buda; Rebecca Zöllner; Felix Greiner; Michaela Diercke; Linus Grabenhenrich
Journal:  Euro Surveill       Date:  2022-07

2.  [Using emergency department routine data for the surveillance of suicide attempts and psychiatric emergencies].

Authors:  Carmen Schlump; Julia Thom; T Sonia Boender; Birte Wagner; Michaela Diercke; Theresa Kocher; Alexander Ullrich; Linus Grabenhenrich; Felix Greiner; Rebecca Zöllner; Elvira Mauz; Madlen Schranz
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2021-12-10       Impact factor: 1.513

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.