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COVID ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 130-136
Author(s):  
Reinhard Schlickeiser ◽  
Martin Kröger

Based on hospital capacities, facts from past experience with the coronavirus disease 2019 (COVID-19) virus and the number of dark infections during the second wave (DII=2D2), a reasonable limiting value of 140/D2 for the 7-day incidence per 100,000 persons (MSDIHT) and a second wave herd immunization threshold fraction value of 0.26 in Germany were calculated. If the MSDIHT is held below this limiting value, the German hospital system can cope with the number of new seriously infected persons without any triage decisions. On the basis of the SIRV epidemics model, the classical threshold values for herd immunization were calculated for 18 countries. For these countries, the dates regarding when herd immunization against the second COVID-19 wave will be reached were estimated.


Author(s):  
Sven Helfer ◽  
Michéle Kümmel ◽  
Franziska Bathelt ◽  
Martin Sedlmayr

Clinical data and above all individual patient data are highly sensitive. All the more it is important to protect these critical information while analyzing and exploring their specifics for further research. However, in order to enable students and other researchers to develop decision support systems and to use modern data analysis methods such as intelligent pattern recognition, the provision of clinical data is essential. In order to allow this while completely protecting the privacy of a patient, we present a mixed approach to generate semantically and clinically realistic data: (1) We use available synthetic data, extract information on patient visits and diagnoses and adapt them to the encoding systems of German claims data; (2) based on a statistical analysis of real German hospital data, we identify distributions of procedures, laboratory data and other measurements and transfer them to the synthetic patient’s visits and diagnoses in a semi-automated way. This enabled us to provide students a data set that is as semantically and clinically realistic as possible to apply patient-level prediction algorithms within the development of clinical decision support systems without putting patient data at any risk.


Author(s):  
Harish Naraindas

This chapter, which is an ethnography of a psychosomatic department in a German hospital, functions as a foil to the rest of the volume. It allows us to ask the following: Why is the movement for global mental health preoccupied with the Global South? Why does mental health in the Global South primarily revolve around the psycho-pharmaceutical, while psychosomatic medicine, which in the German context is a separate discipline divorced from psychiatry, is normatively built on eschewing psycho-pharmaceuticals? Why is mental health in the Global South built on the distinction between superstition (past lives, trance, possession – in short, ‘rituals’ invoking the spirits and the dead) and science (psychiatry, rational diagnosis, asylums, drugs), while in Germany the two are often fused?


10.2196/25183 ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. e25183
Author(s):  
Nicholas R J Frick ◽  
Henriette L Möllmann ◽  
Milad Mirbabaie ◽  
Stefan Stieglitz

Background The COVID-19 pandemic has not only changed the private lives of millions of people but has significantly affected the collaboration of medical specialists throughout health care systems worldwide. Hospitals are making changes to their regular operations to slow the spread of SARS-CoV-2 while ensuring the treatment of emergency patients. These substantial changes affect the typical work setting of clinicians and require the implementation of organizational arrangements. Objective In this study, we aim to increase our understanding of how digital transformation drives virtual collaboration among clinicians in hospitals in times of crisis, such as the COVID-19 pandemic. Methods We present the lessons learned from an exploratory case study in which we observed the introduction of an information technology (IT) system for enhancing collaboration among clinicians in a German hospital. The results are based on 16 semistructured interviews with physicians from various departments and disciplines; the interviews were generalized to better understand and interpret the meaning of the statements. Results Three key lessons and recommendations explain how digital transformation ensures goal-driven collaboration among clinicians. First, we found that implementing a disruptive change requires alignment of the mindsets of the stakeholders. Second, IT-enabled collaboration presupposes behavioral rules that must be followed. Third, transforming antiquated processes demands a suitable technological infrastructure. Conclusions Digital transformation is being driven by the COVID-19 pandemic. However, the rapid introduction of IT-enabled collaboration reveals grievances concerning the digital dissemination of medical information along the patient treatment path. To avoid being caught unprepared by future crises, digital transformation must be further driven to ensure collaboration, and the diagnostic and therapeutic process must be opened to disruptive strategies.


Author(s):  
Martin Kröger ◽  
Reinhard Schlickeiser

Based on the hospital capacities, facts from the past experience with the Covid-19 virus and the dark number of infections D=10D_{10} a reasonable limiting value of 170/D_{10} for the monitored 7-day incidence per 100000 persons value (MSDIHT) in Germany is calculated. If the MSDIHT is held below this limiting value the German hospital system can cope with the number of new seriously infected persons without any triage decisions. A significant improvement to an almost complete testing of the population would lead to dramatic reduction of the current dark numer value to D_{10}=0.1 so that ten times higher MSDIHT values of 1700 are acceptable. Such a high limiting value would spare Germany from its currently imposed strict lockdown. The costs for such extensive and complete testing campaigns are highly justified as they are orders of magnitudes below the estimated economical costs of more than 3.6 billion Euros for each lockdown day.


2020 ◽  
Author(s):  
Nicholas R J Frick ◽  
Henriette L Möllmann ◽  
Milad Mirbabaie ◽  
Stefan Stieglitz

BACKGROUND The COVID-19 pandemic has not only changed the private lives of millions of people but has significantly affected the collaboration of medical specialists throughout health care systems worldwide. Hospitals are making changes to their regular operations to slow the spread of SARS-CoV-2 while ensuring the treatment of emergency patients. These substantial changes affect the typical work setting of clinicians and require the implementation of organizational arrangements. OBJECTIVE In this study, we aim to increase our understanding of how digital transformation drives virtual collaboration among clinicians in hospitals in times of crisis, such as the COVID-19 pandemic. METHODS We present the lessons learned from an exploratory case study in which we observed the introduction of an information technology (IT) system for enhancing collaboration among clinicians in a German hospital. The results are based on 16 semistructured interviews with physicians from various departments and disciplines; the interviews were generalized to better understand and interpret the meaning of the statements. RESULTS Three key lessons and recommendations explain how digital transformation ensures goal-driven collaboration among clinicians. First, we found that implementing a disruptive change requires alignment of the mindsets of the stakeholders. Second, IT-enabled collaboration presupposes behavioral rules that must be followed. Third, transforming antiquated processes demands a suitable technological infrastructure. CONCLUSIONS Digital transformation is being driven by the COVID-19 pandemic. However, the rapid introduction of IT-enabled collaboration reveals grievances concerning the digital dissemination of medical information along the patient treatment path. To avoid being caught unprepared by future crises, digital transformation must be further driven to ensure collaboration, and the diagnostic and therapeutic process must be opened to disruptive strategies.


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