carp-python-api-async 1.0.0

The [C]openh[A]gen Center for Health Technology [R]esearch [P]latform (CARP) enables researchers to run mobile health (mHealth) studies where data is collected on participant's smartphones and wearable devices. Data is securely uploaded and managed in a hosting infrastructure managed by the Technical University of Denmark (DTU).

CARP PYTHON CLIENT API

The Copenhagen Center for Health Technology (CACHET) Research Platform (CARP) enables researchers to run mobile health (mHealth) studies where data is collected on participant's smartphones and wearable devices. Data is securely uploaded and managed in a hosting infrastructure managed by the Technical University of Denmark.

CARP is a platform for running research studies in the health domain – also known as Digital Phenotyping. Such studies range from technical feasibility studies of novel technology to large-scale clinical studies. The platform is very versatile both in terms of support for different types of health domains, as well as in terms of technical support and configuration.

CARP PYTHON CLIENT API - ASYNC

To support researchers using the CARP Webservices API with the Python programming language, we implemented a CARP PYTHON CLIENT API - ASYNC to consume all existing endpoints such as authenticating, creating studies, deployments, protocols, consents, data points, documents|collections, summaries, and other endpoints.

Note

To use this client with any of the CARP environments listed below, contact us to create a researcher account to use the [CARP Web Services] endpoints.

Environments

CARP Environments	Path
test	https://cans.cachet.dk:443/test
development	https://cans.cachet.dk:443/dev
staging	https://cans.cachet.dk:443/stage
production	https://cans.cachet.dk:443

Local Environment	Path
local	http://localhost:8091

References

• Copenhagen Center for Health Technology CACHET
• CARP Webpage.
• CANS Management Dashboard.
• CARP Core