J. Milan’s research while affiliated with The Royal Marsden NHS Foundation Trust and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (7)


Figure 1: High level view of CLEF information flow cycle with points of control for privacy indicated.  
Figure 2: Data flow within the current phase of CLEF project to generate the pseudonymised repository of EHRs .  
Security and confidentiality approach for the Clinical E-Science Framework (CLEF)
  • Article
  • Full-text available

February 2005

·

123 Reads

·

43 Citations

Methods of Information in Medicine

·

·

J Milan

·

[...]

·

CLEF is an MRC sponsored project in the E-Science programme that aims to establish methodologies and a technical infrastructure for the next generation of integrated clinical and bioscience research. The heart of the CLEF approach to this challenge is to design and develop a pseudonymised repository of histories of cancer patients that can be accessed by researchers. Robust mechanisms and policies have been developed to ensure that patient privacy and confidentiality are preserved while delivering a repository of such medically rich information for the purposes of scientific research. This paper summarises the overall approach adopted by CLEF to meet data protection requirements, including the data flows, pseudonymisation measures and additional monitoring policies that are currently being developed. Once evaluated, it is hoped that the CLEF approach can serve as a model for other distributed electronic health record repositories to be accessed for research.

Download

Security and Confidentiality Approach for the Clinical E-Science Framework (CLEF)

January 2005

·

12 Reads

·

28 Citations

Methods of Information in Medicine

Objectives: CLEF is an MRC sponsored project in the E-Science programme that aims to establish methodologies and a technical infrastructure for the next generation of integrated clinical and bioscience research. Methods: The heart of the CLEF approach to this challenge is to design and develop a pseudonymised repository of histories of cancer patients that can be accessed by researchers. Robust mechanisms and policies have been developed to ensure that patient privacy and confidentiality are preserved while delivering a repository of such medically rich information for the purposes of scientific research. Results: This paper summarises the overall approach adopted by CLEF to meet data protection requirements, including the data flows, pseudonymisation measures and additional monitoring policies that are currently being developed. Conclusion: Once evaluated, it is hoped that the CLEF approach can serve as a model for other distributed electronic health record repositories to be accessed for research.



Joining up health and bioinformatics: e-science meets e-health

September 2004

·

64 Reads

·

4 Citations

CLEF (Co-operative Clinical e-Science Framework) is an MRC sponsored project in the e- Science programme that aims to establish methodologies and a technical infrastructure for the next generation of integrated clinical and bioscience research. It is developing methods for managing and using pseudonymised repositories of the long-term patient histories which can be linked to genetic, genomic information or used to support patient care. CLEF concentrates on removing key barriers to managing such repositories – ethical issues, information capture, integration of disparate sources into coherent “chronicles” of events, useroriented mechanisms for querying and displaying the information, and compiling the required knowledge resources. This paper describes the overall information flow and technical approach designed to meet these aims within a Grid framework.


Figure 1: Basic CLEF Information Flow Right hand cycle: the repository of anonymised clinical information can be queried by researchers with appropriate authorisation.
Figure 2: Visualisation of a 'Chronicle' At the heart of CLEF, therefore, is the compilation of a single coherent and nonredundant "chronicle" for each patient from the distributed heterogeneous, and often repeated, information that makes up the traditional medical record.
A Co-operative Clinical E-Science Framework (CLEF): Joining up Healthcare and Clinical Research

September 2004

·

187 Reads

·

1 Citation

The CLEF project aims to establish a secure socio-technical framework that enables sharing patient data for the purposes of research whilst maintaining patient privacy and confidentiality. The value of shared data is increased by integrating, within a secure repository, both existing structured information (lab reports etc) with information extracted from texts (clinic letters), and using clinical inferencing and filtering techniques to derive a canonical view of the record called the 'chronicle'. Statistical disclosure control and Language generation technologies are used to simplify and control access to this complex resource.


Connecting Healthcare with Biomedical and Post-Genomic Research

CLEF (Co-operative Clinical E-Science Framework) is an MRC sponsored project in the E-Science programme that aims to establish methodologies and a technical infrastructure for the next generation of integrated clinical and biosci- ence research. It is developing methods for managing and using pseudonymised repositories of the long-term patient histories which can be linked to genetic, genomic information or used to support patient care. CLEF concentrates on removing key barriers to managing such repositories – ethical issues, information capture, integration of disparate sources into coherent “chronicles” of events, user-oriented mechanisms for querying and displaying the information, and compiling the required knowledge resources. This paper describes the overall information flow and technical ap- proach designed to meet these aims within a Grid framework


Figure 1: Basic CLEF Information Flow  
Figure 2: A patient chronicle in graphical form  
CLEF: joining up healthcare with clinical and post-genomic research

September 2003

·

134 Reads

·

39 Citations

CLEF aims to join up clinical care and biomedical research. It is developing methods for managing and using pseudonymised repositories of the long-term patient histories which can be linked to genetic, genomic and image information or used to support patient care. CLEF concentrates on removing key barriers to managing such repositories – ethical issues, information capture, integration of disparate sources into coherent “chronicles” of events, user-oriented mechanisms for querying and displaying the information, and compiling the required knowledge resources. This paper describes the overall information flow and technical approach designed to meet these aims within a Grid framework. Details of work on language technology and ethical issues are discussed in separate papers at this conference.

Citations (5)


... Overviews have been provided by [64,65]; the schemes described differ in their requirements on application level as well as on data level. Some of these differences can be explained with the fact that the schemes have been developed for different use cases (e.g. for data warehouses [66] as compared to research networks [20]). But still, many of the inherent design decisions seem to be ad-hoc and lack thorough justification, which could have been provided by a risk and threat analysis. ...

Reference:

A generic solution for web-based management of pseudonymized data
Security and Confidentiality Approach for the Clinical E-Science Framework (CLEF)
  • Citing Article
  • January 2005

Methods of Information in Medicine

... In spite of the recent approval of the standard (February 2010), it is already being used in some pioneer countries in Europe such as Sweden [14], United Kingdom [15] and Slovak [16]. Furthermore, it is also used in research projects, such as the cooperative Clinical E-Science Framework (CLEF) [17], and in commercial applications, e.g., the Electronic Record Services (ERS) [18]. This review article provides a comprehensive but summarized overview of this standard, since it is the European reference in this context. ...

A Co-operative Clinical E-Science Framework (CLEF): Joining up Healthcare and Clinical Research

... Our work on temporal information extraction is carried out in the context of the Clinical e-Science Framework Services (CLEF-S) project [12]. 1 This project aims to establish methodologies and a technical infrastructure for assembling and managing repositories of clinical patient data, for the purposes of biomedical research and clinical care. An important aspect of building patient data repositories is information capture. ...

Joining up health and bioinformatics: e-science meets e-health

... However, the DXtractor [15] system is purely textual. Two further technologies are also relevant here: Chronus II [16] and CLEF [17,23,24,27]. Chronus II is an extension to SQL to allow temporal queries but is proposed for use in encoding EC. ...

CLEF: joining up healthcare with clinical and post-genomic research

... There are a few existing efforts focusing on sharing clinical data of a group of patients. For example, the clinical escience framework (CLEF) [180], a UK MRC-sponsored project, aims to establish policies and infrastructure for clinical data sharing of cancer patients to enable the next generation of integrated clinical and bioscience research. However, no prior effort exists for privacy-preserving computing (PPC) on NLP artifacts with distributional information [181,182]. ...

Security and confidentiality approach for the Clinical E-Science Framework (CLEF)

Methods of Information in Medicine