Patient-centered mobile health data management solution for the german health care system (the databox project)

Titus Josef Brinker; Stefanie Rudolph; Daniela Richter; Christof Von Kalle

doi:10.2196/10160

Patient-centered mobile health data management solution for the german health care system (the databox project)

Titus Josef Brinker^*, Stefanie Rudolph, Daniela Richter, Christof Von Kalle

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

2 Citations (Scopus)

Abstract

This article describes the DataBox project which offers a perspective of a new health data management solution in Germany. DataBox was initially conceptualized as a repository of individual lung cancer patient data (structured and unstructured). The patient is the owner of the data and is able to share his or her data with different stakeholders. Data is transferred, displayed, and stored online, but not archived. In the long run, the project aims at replacing the conventional method of paper- and storage-device-based handling of data for all patients in Germany, leading to better organization and availability of data which reduces duplicate diagnostic procedures, treatment errors, and enables the training as well as usage of artificial intelligence algorithms on large datasets.

Original language	English
Article number	e10160
Journal	JMIR Cancer
Volume	4
Issue number	1
DOIs	https://doi.org/10.2196/10160
Publication status	Published - 1 Jan 2018
Externally published	Yes

Keywords

Health data management
Medical informatics

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title = "Patient-centered mobile health data management solution for the german health care system (the databox project)",

abstract = "This article describes the DataBox project which offers a perspective of a new health data management solution in Germany. DataBox was initially conceptualized as a repository of individual lung cancer patient data (structured and unstructured). The patient is the owner of the data and is able to share his or her data with different stakeholders. Data is transferred, displayed, and stored online, but not archived. In the long run, the project aims at replacing the conventional method of paper- and storage-device-based handling of data for all patients in Germany, leading to better organization and availability of data which reduces duplicate diagnostic procedures, treatment errors, and enables the training as well as usage of artificial intelligence algorithms on large datasets.",

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author = "Brinker, {Titus Josef} and Stefanie Rudolph and Daniela Richter and {Von Kalle}, Christof",

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AU - Brinker, Titus Josef

AU - Rudolph, Stefanie

AU - Richter, Daniela

AU - Von Kalle, Christof

PY - 2018/1/1

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N2 - This article describes the DataBox project which offers a perspective of a new health data management solution in Germany. DataBox was initially conceptualized as a repository of individual lung cancer patient data (structured and unstructured). The patient is the owner of the data and is able to share his or her data with different stakeholders. Data is transferred, displayed, and stored online, but not archived. In the long run, the project aims at replacing the conventional method of paper- and storage-device-based handling of data for all patients in Germany, leading to better organization and availability of data which reduces duplicate diagnostic procedures, treatment errors, and enables the training as well as usage of artificial intelligence algorithms on large datasets.

AB - This article describes the DataBox project which offers a perspective of a new health data management solution in Germany. DataBox was initially conceptualized as a repository of individual lung cancer patient data (structured and unstructured). The patient is the owner of the data and is able to share his or her data with different stakeholders. Data is transferred, displayed, and stored online, but not archived. In the long run, the project aims at replacing the conventional method of paper- and storage-device-based handling of data for all patients in Germany, leading to better organization and availability of data which reduces duplicate diagnostic procedures, treatment errors, and enables the training as well as usage of artificial intelligence algorithms on large datasets.

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KW - Medical informatics

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DO - 10.2196/10160

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AN - SCOPUS:85106542933

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JO - JMIR Cancer

JF - JMIR Cancer

IS - 1

M1 - e10160

ER -

Patient-centered mobile health data management solution for the german health care system (the databox project)

Abstract

Keywords

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