Patient-Centered Mobile Health Data Management Solution for the German Healthcare System: The DataBox Project

2018 ◽  
Author(s):  
Titus Josef Brinker ◽  
Stefanie Rudolph ◽  
Daniela Richter ◽  
Christof von Kalle
Keyword(s):  
Data Management ◽  
Healthcare System ◽  
Mobile Health ◽  
Health Data ◽  
Patient Centered ◽  
German Healthcare System

scholarly journals Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project)

JMIR Cancer ◽  
10.2196/10160 ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. e10160
Author(s):  
Titus Josef Brinker ◽  
Stefanie Rudolph ◽  
Daniela Richter ◽  
Christof von Kalle
Keyword(s):  
Health Care ◽  
Data Management ◽  
Health Care System ◽  
Mobile Health ◽  
Health Data ◽  
Patient Centered ◽  
German Health Care System ◽  
German Health ◽  
Care System

scholarly journals Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project) (Preprint)

2018 ◽  
Author(s):  
Titus Josef Brinker ◽  
Stefanie Rudolph ◽  
Daniela Richter ◽  
Christof von Kalle
Keyword(s):  
Data Management ◽  
Diagnostic Procedures ◽  
Health Data ◽  
Storage Device ◽  
Patient Centered ◽  
German Health Care System ◽  
Treatment Errors ◽  
German Health ◽  
Long Run ◽  
And Storage

UNSTRUCTURED 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.

scholarly journals Linking the Unitary Paradigm to Policy through a Synthesis of Caring Science and Integrative Nursing

2017 ◽  
Vol 30 (3) ◽  
pp. 262-268 ◽  
Author(s):  
Mary S. Koithan ◽  
Mary Jo Kreitzer ◽  
Jean Watson
Keyword(s):  
Patient Care ◽  
Healthcare System ◽  
Care Delivery ◽  
Healthcare Policy ◽  
Patient Centered ◽  
Nursing Knowledge ◽  
Call To Action ◽  
Caring Science ◽  
Patient Care Delivery

The principles of integrative nursing and caring science align with the unitary paradigm in a way that can inform and shape nursing knowledge, patient care delivery across populations and settings, and new healthcare policy. The proposed policies may transform the healthcare system in a way that supports nursing praxis and honors the discipline’s unitary paradigm. This call to action provides a distinct and hopeful vision of a healthcare system that is accessible, equitable, safe, patient-centered, and affordable. In these challenging times, it is the unitary paradigm and nursing wisdom that offer a clear path forward.

scholarly journals Implementation of an integrated care programme to avoid fragility fractures of the hip in older adults in 18 Bavarian hospitals – study protocol for the cluster-randomised controlled fracture liaison service FLS-CARE

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Isabel Geiger ◽  
◽  
Christian Kammerlander ◽  
Christine Höfer ◽  
Ruth Volland ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Healthcare System ◽  
Fragility Fractures ◽  
Term Care ◽  
Care Programme ◽  
Secondary Fracture ◽  
Cluster Randomised ◽  
German Healthcare System ◽  
Randomised Controlled ◽  
Fracture Liaison

Abstract Background The economic and public health burden of fragility fractures of the hip in Germany is high. The likelihood of requiring long-term care and the risk of suffering from a secondary fracture increases substantially after sustaining an initial fracture. Neither appropriate confirmatory diagnostics of the suspected underlying osteoporosis nor therapy, which are well-recognised approaches to reduce the burden of fragility fractures, are routinely initiated in the German healthcare system. Therefore, the aim of the study FLS-CARE is to evaluate whether a coordinated care programme can close the prevention gap for patients suffering from a fragility hip fracture through the implementation of systematic diagnostics, a falls prevention programme and guideline-adherent interventions based on the Fracture Liaison Services model. Methods The study is set up as a non-blinded, cluster-randomised, controlled trial with unequal cluster sizes. Allocation to intervention group (FLS-CARE) and control group (usual care) follows an allocation ratio of 1:1 using trauma centres as the unit of allocation. Sample size calculations resulted in a total of 1216 patients (608 patients per group distributed over 9 clusters) needed for the analysis. After informed consent, all participants are assessed directly at discharge, after 3 months, 12 months and 24 months. The primary outcome measure of the study is the secondary fracture rate 24 months after initial hip fracture. Secondary outcomes include differences in the number of falls, mortality, quality-adjusted life years, activities of daily living and mobility. Discussion This study is the first to assess the effectiveness and cost-effectiveness/utility of FLS implementation in Germany. Findings of the process evaluation will also shed light on potential barriers to the implementation of FLS in the context of the German healthcare system. Challenges for the study include the successful integration of the outpatient sector as well as the future course of the coronavirus pandemic in 2020 and its influence on the intervention. Trial registration German Clinical Trial Register (DRKS) 00022237, prospectively registered 2020-07-09

scholarly journals The German healthcare system

2010 ◽  
Vol 1 (4) ◽  
pp. 535-547 ◽  
Author(s):  
Andrea Döring ◽  
Friedemann Paul
Keyword(s):  
Healthcare System ◽  
German Healthcare System

scholarly journals OPTIMIZING TELEMEDICINE FRAMEWORK USING FOG COMPUTING FOR SMART HEALTHCARE SYSTEMS

2021 ◽  
Author(s):  
Michael Enbibel
Keyword(s):  
Data Management ◽  
Healthcare System ◽  
Data Flow ◽  
System Organization ◽  
Fog Computing ◽  
Healthcare Systems ◽  
Distributed Data ◽  
Smart Healthcare ◽  
Network Latency

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.

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