TY  - JOUR
A1  - Busse, Theresa Sophie
A1  - Kernebeck, Sven
A1  - Dreier, Larissa Alicia
A1  - Meyer, Dorothee
A1  - Goletz, Grazyna
A1  - Zenz, Daniel
A1  - Zernikow, Boris
A1  - Wager, Julia
T1  - Nutzer*innenzentrierte Entwicklung einer digitalen Patient*innenakte in der pädiatrischen Palliativversorgung.
Y1  - 2020
ER  - 
TY  - GEN
A1  - Kernebeck, Sven
T1  - Neue Therapieoption App - Internationale Ansätze für die Zulassung.
Y1  - 2020
ER  - 
TY  - JOUR
A1  - Kernebeck, Sven
T1  - Partizipative Entwicklung von digitalen Technologien - Mit Nutzerinnen und Nutzern gemeinsam digitale Technologien entwickeln
JF  - NOVAcura
Y1  - 2020
UR  - https://doi.org/10.1024/1662-9027/a000101
SN  - 1662-9027
VL  - 51
IS  - 6
ER  - 
TY  - JOUR
A1  - Goerss, Doreen
A1  - Hein, Albert
A1  - Bader, Sebastian
A1  - Halek, Margareta
A1  - Kernebeck, Sven
A1  - Kutschke, Andreas
A1  - Heine, Christina
A1  - Krueger, Frank
A1  - Kirste, Thomas
A1  - Teipel, Stefan
T1  - Automated sensor‐based detection of challenging behaviors in advanced stages of dementia in nursing homes
JF  - Alzheimer's & Dementia
N2  - Sensor‐based assessment of challenging behaviors in dementia may be useful to support caregivers. Here, we investigated accelerometry as tool for identification and prediction of challenging behaviors. We set up a complex data recording study in two nursing homes with 17 persons in advanced stages of dementia. Study included four‐week observation of behaviors. In parallel, subjects wore sensors 24 h/7 d. Participants underwent neuropsychological assessment including MiniMental State Examination and Cohen‐Mansfield Agitation Inventory. We calculated the accelerometric motion score (AMS) from accelerometers. The AMS was associated with several types of agitated behaviors and could predict subject's Cohen‐Mansfield Agitation Inventory values. Beyond the mechanistic association between AMS and behavior on the group level, the AMS provided an added value for prediction of behaviors on an individual level. We confirm that accelerometry can provide relevant information about challenging behaviors. We extended previous studies by differentiating various types of agitated behaviors and applying long‐term measurements in a real‐world setting.
Y1  - 2020
U6  - http://dx.doi.org/10.1016/j.jalz.2019.08.193
SN  - 1552-5260
VL  - 16
SP  - 672
EP  - 680
ER  - 
TY  - JOUR
A1  - Kernebeck, Sven
A1  - Busse, Theresa S
A1  - Böttcher, Maximilian D
A1  - Weitz, Jürgen
A1  - Ehlers, Jan
A1  - Bork, Ulrich
T1  - Impact of mobile health and medical applications on clinical practice in gastroenterology
JF  - World Journal of Gastroenterology
N2  - Mobile health apps (MHAs) and medical apps (MAs) are becoming increasingly popular as digital interventions in a wide range of health-related applications in almost all sectors of healthcare. The surge in demand for digital medical solutions has been accelerated by the need for new diagnostic and therapeutic methods in the current coronavirus disease 2019 pandemic. This also applies to clinical practice in gastroenterology, which has, in many respects, undergone a recent digital transformation with numerous consequences that will impact patients and health care professionals in the near future. MHAs and MAs are considered to have great potential, especially for chronic diseases, as they can support the self-management of patients in many ways. Despite the great potential associated with the application of MHAs and MAs in gastroenterology and health care in general, there are numerous challenges to be met in the future, including both the ethical and legal aspects of applying this technology. The aim of this article is to provide an overview of the current status of MHA and MA use in the field of gastroenterology, describe the future perspectives in this field and point out some of the challenges that need to be addressed.
Y1  - 2020
U6  - http://dx.doi.org/10.3748/wjg.v26.i29.4182
SN  - 1007-9327
VL  - 26
SP  - 4182
EP  - 4197
ER  -