Secure and efficient health data management through multiple watermarking on medical images

2006 ◽  
Vol 44 (8) ◽  
pp. 619-631 ◽  
Author(s):  
A. Giakoumaki ◽  
S. Pavlopoulos ◽  
D. Koutsouris
Keyword(s):  
Data Management ◽  
Medical Images ◽  
Health Data ◽  
Multiple Watermarking

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

Robust and Secure Multiple Watermarking for Medical Images

2017 ◽  
pp. 95-124
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan
Keyword(s):  
Medical Images ◽  
Multiple Watermarking

scholarly journals Data Lakes and Data Visualization: An Innovative Approach to Addressing the Many Challenges of Health Workforce Planning

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Denise D. Krause
Keyword(s):  
Data Management ◽  
Data Visualization ◽  
Health Workforce ◽  
Health Planning ◽  
Workforce Planning ◽  
Health Data ◽  
Primary Objective ◽  
The State ◽  
Data Repository ◽  
Health Workforce Planning

Background: There are a variety of challenges to health workforce planning, but access to data is critical for effective evidence-based decision-making. Many agencies and organizations throughout Mississippi have been collecting quality health data for many years. Those data have historically resided in data silos and have not been readily shared. A strategy was developed to build and coordinate infrastructure, capacity, tools, and resources to facilitate health workforce and population health planning throughout the state.Objective: Realizing data as the foundation upon which to build, the primary objective was to develop the capacity to collect, store, maintain, visualize, and analyze data from a variety of disparate sources -- with the ultimate goal of improving access to health care.Specific aims were to:1)  build a centralized data repository and scalable informatics platform,2)  develop a data management solution for this platform and then,3)  derive value from this platform by facilitating data visualization and analysis.Methods: We designed and constructed a managed data lake for health data from disparate sources throughout the state of Mississippi. A data management application was developed to log and track all data sources, maps and geographies, and data marts.  With this informatics platform as a foundation, we use a variety of tools to visualize and analyze data.Results: Samples of data visualizations that aim to inform health planners and policymakers are presented. Many agencies and organizations throughout the state benefit from this platform.Conclusion: The overarching goal is that by providing timely, reliable information to stakeholders, Mississippians in general will experience improved access to quality care. 

RDF-ization of DICOM Medical Images towards Linked Health Data Cloud

2015 ◽  
pp. 757-760 ◽  
Author(s):  
Andrés Tello ◽  
Alexandra La Cruz ◽  
Víctor Saquicela ◽  
Mauricio Espinoza ◽  
Maria-Esther Vidal
Keyword(s):  
Medical Images ◽  
Health Data
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