scholarly journals Concept and Implementation of Data Usage Proposal Process Based on International Standards in SMITH

Author(s):  
Marcel Klötgen ◽  
Eric Fiege ◽  
Salima Houta

Accessing secondary-use healthcare data in Germany requires contracting with each organization that acts as a data provider. The SMITH Service Platform offers a central access point for scientists, facilitating contracting as part of an integrated data use and access process with several Data Integration Centers (DIC) at once. Process support is realized by a central Business Process Engine (BPE), which manages process definition and process control, combined with a central IHE infrastructure. The use of IHE XDS and IHE XDW profiles enables the exchange of process instance information with multiple distributed visualization and user interaction tools for provided user tasks based on international standards. User task information include structured forms for submitting instructions and results as task input and output for the users, and are synchronized between the shared process instance and the BPE. A reference user interface is also provided with the SMITH Marketplace. In the future, further standardization efforts regarding the structured forms and the use of the IHE XDW profile should be pursued.


2017 ◽  
Vol 26 (01) ◽  
pp. 68-71 ◽  
Author(s):  
D. R. Schlegel ◽  
G. Ficheur

Summary Objectives: To summarize recent research and emerging trends in the area of secondary use of healthcare data, and to present the best papers published in this field, selected to appear in the 2017 edition of the IMIA Yearbook. Methods: A literature review of articles published in 2016 and related to secondary use of healthcare data was performed using two bibliographic databases. From this search, 941 papers were identified. The section editors independently reviewed the papers for relevancy and impact, resulting in a consensus list of 14 candidate best papers. External reviewers examined each of the candidate best papers and the final selection was made by the editorial board of the Yearbook. Results: From the 941 retrieved papers, the selection process resulted in four best papers. These papers discuss data quality concerns, issues in preserving privacy of patients in shared datasets, and methods of decision support when consuming large amounts of raw electronic health record (EHR) data. Conclusion: In 2016, a significant effort was put into the development of new systems which aim to avoid significant human understanding and pre-processing of healthcare data, though this is still only an emerging area of research. The value of temporal relationships between data received significant study, as did effective information sharing while preserving patient privacy.



Author(s):  
Booma Devi Sekar ◽  
JiaLi Ma ◽  
MingChui Dong

The proactive development in electronic health (e-health) has introduced seemingly endless number of applications such as telemedicine, electronic records, healthcare score cards, healthcare monitoring etc. Yet, these applications confront the key challenges of network dependence and medical personnel necessity, which hinders the development of universality of e-health services. To mitigate such key challenges, this chapter presents a versatile wired and wireless distributed e-home healthcare system. By exploiting the benefit of body sensor network and information communication technology, the dedicated system model methodically integrates some of the comprehensive functions such as pervasive health monitoring, remote healthcare data access, point-of-care signal interpretation and diagnosis, disease-driven uplink update and synchronization (UUS) scheme and emergency management to design a complete and independent e-home healthcare system.



2019 ◽  
Vol 11 (2) ◽  
pp. 30 ◽  
Author(s):  
Aaron Boddy ◽  
William Hurst ◽  
Michael Mackay ◽  
Abdennour El Rhalibi ◽  
Thar Baker ◽  
...  

Visualising complex data facilitates a more comprehensive stage for conveying knowledge. Within the medical data domain, there is an increasing requirement for valuable and accurate information. Patients need to be confident that their data is being stored safely and securely. As such, it is now becoming necessary to visualise data patterns and trends in real-time to identify erratic and anomalous network access behaviours. In this paper, an investigation into modelling data flow within healthcare infrastructures is presented; where a dataset from a Liverpool-based (UK) hospital is employed for the case study. Specifically, a visualisation of transmission control protocol (TCP) socket connections is put forward, as an investigation into the data complexity and user interaction events within healthcare networks. In addition, a filtering algorithm is proposed for noise reduction in the TCP dataset. Positive results from using this algorithm are apparent on visual inspection, where noise is reduced by up to 89.84%.



Author(s):  
Charlie Wiecha ◽  
Rahul Akolkar ◽  
Andrew Spyker

We have observed two prevalent design paradigms for web applications: those who start from an existing data or process definition and project from that outward toward the user, and those conversely who start from a sense of desired user experience and derive from that required data and process elements. Design methods which seem natural to one community may look overly abstract, layered with unnecessary separation of concerns, and academic to no purpose. Conversely, others may be frustrated by a seeming lack of concern for reuse, valid content, and support for multiple design roles all of which may argue for additional architectural layers. Due to affinity of current web presentation technology to JSON encoded data, many times the choice to start with user experience precludes re-use of existing XML data. We present an approach to bridging this methodology and data divide by working within the conventions of existing web application frameworks to introduce incremental separation of concerns such as Model-View layering with interfaces and behavior suited to the introduction of XML-based technologies such as XForms at the model layer. In this way we hope to provide incremental means to adopt first a separation of concerns that supports packaging and reuse of model data and behavior, and secondly an XML-based technology for such data models that supports convenient projection of existing business data and process definitions to the client for user interaction.



Data Mining ◽  
2013 ◽  
pp. 1709-1736
Author(s):  
Yassine Lassoued ◽  
Trung T. Pham ◽  
Luis Bermudez ◽  
Karen Stocks ◽  
Eoin O’Grady ◽  
...  

This chapter defines the coastal web atlases interoperability problem, introduces interoperability standards, and describes the development of a semantic mediator prototype to provide a common access point to coastal data, maps and information from distributed coastal web atlases. The prototype showcases how ontologies and ontology mappings can be used to integrate different heterogeneous and autonomous atlases (or information systems), using international standards such as ISO-19139 for metadata encoding and the Open Geospatial Consortium’s Catalogue Service for the Web specification. Lessons learned from this prototype will help build regional atlases and improve decision support systems as part of a new International Coastal Atlas Network (ICAN).



Author(s):  
SEOK-WON LEE ◽  
ROBIN A. GANDHI ◽  
SIDDHARTH J. WAGLE

Services as abstractions of functionality have enabled the engineering of systems that support well-defined processes with relative ease. This success leads to aspirations for achieving greater complexity with the service-oriented paradigm. In particular, we address the case where the process definition is tailored differently in each instantiation based on negotiations among stakeholders of a socio-technical context. For such cases the process definition invariably crosscuts the architecture of a process-support system that composes available services. However, use of pre-defined process variations may bias the tailoring effort and thus, act against the original motivation of having a flexible definition. On the other hand, the characteristics of process complexity and tailorability introduce differences between stakeholder understanding of the process activities and their manifestation in tool support. We encounter these issues while developing a service-oriented process-support system for a security Certification and Accreditation (C&A) process. In this paper, we present our approach to effectively separate the C&A process definition from the architecture of its process-support system. We employ ontological modeling techniques to explicitly model the process definition and later expose it as a service to provide weaving rules for dynamically composing the process-support system architecture at runtime. The feasibility of our approach has been demonstrated in the design of a service-oriented architecture for a prototype workbench that supports the Department of Defense Certification and Accreditation Process (DITSCAP).





2020 ◽  
Author(s):  
Catherine Atkin ◽  
Benjamin L Crosby ◽  
Kevin W Dunn ◽  
Gary Price ◽  
Eliot D Marston ◽  
...  

Introduction: Public awareness and support for secondary health data use may vary by health care experience and participant demographics. England provides an example of a centralised opt-out for secondary use of anonymised health data. We explored the awareness, support for and concerns about anonymised healthcare data secondary use and the NHS data opt-out system amongst patients, carers, healthcare staff and the public within the West Midlands. Methods: A patient and public engagement program was completed, including patient and public workshops, questionnaires regarding anonymised health data use and feedback discussion groups. Results: Central concerns for health data use included unauthorised data re-use, the potential for discrimination and profit generation without patient benefit. Key priorities were projects leading to patient benefit, oversight by the NHS as a trusted organisation, increasing awareness of the NHS data opt-out, and ongoing public/patient involvement. Questionnaires showed 31.8% were aware of the NHS data opt-out. 93.8% were happy for their data to be used for NHS research, 84.8% for academic research and 68.4% by health companies. However, opinion varied with demographics (age, gender or public, patient, NHS staff and volunteers). Agreed action points for health data use were education regarding the National Data Opt-Out, public involvement in data requests, NHS oversight, and transparency. Conclusion: Use of anonymised healthcare data for secondary purposes is acceptable to most patients, carers and healthcare workers. However, awareness is limited, and initiatives to publicise potential benefits are needed amongst patients, healthcare staff and the public.



2018 ◽  
Vol 9 ◽  
Author(s):  
Anil Pacaci ◽  
Suat Gonul ◽  
A. Anil Sinaci ◽  
Mustafa Yuksel ◽  
Gokce B. Laleci Erturkmen


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