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Nahaufnahme mehrerer Probenröhrchen, die auf einem Tisch liegen. Im Hintergrund ist unscharf der Schriftzug "Charité" auf einem Formular erkennbar.

PfleDaKi - Repository of data management for nurse supporting AI applications

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PfleDaki - Project profile


In all settings, everyday care is characterized by the collection, storage and evaluation of a wide variety of care-related data from different sources. The caregiver (professional, informal) must be able to collect this data in a meaningful way, to combine it and to be able to draw appropriate nursing conclusions for adequate treatment.

Aims and Procedures

As part of the PfleDaKi project, a platform is to be created to link data from various care-related sources, such as medical devices, care documentation systems or electronic devices (e.g. smart devices, smartwatches) and to make it available to developers of AI applications for research and development purposes . Technical issues such as the form of data storage (central vs. decentralized) and possibilities for harmonizing heterogeneous data from different sources and formats, as well as nursing science and ethical aspects, such as e.g. the effects of certain support options on everyday care and the interaction between caregiver and person in need of care are discussed. An important aspect for easy connection of any data sources is the use of common standards and interfaces that are as open and well documented as possible. This enables direct connectivity or a simple development of required adapters. This approach is to be applied as an example to the secretion management of invasively ventilated patients and to patient monitoring with activity and vital data using motion sensors and smartwatches.

Innovations and Prospects

The novelty of the approach lies in the merging and further processing and evaluation of data relevant to care and instead of using isolated solutions. This allows new insights to be gained and caregivers to be relieved. Further information on the project can be found on the BMBF website:

Project duration

03/2022 - 02/2025


Project leader

Dr. Nils Lahmann

Deputy Director FGG, Head of Department: Digitization and Nursing Research

Staff members

Further project information