An information accountability framework for shared eHealth policies

Privacy issues have hindered the evolution of e-health since its emergence. Patients demand better solutions for the protection of private information. Health professionals demand open access to patient health records. Existing e-health systems find it difficult to fulfill these competing requirements. In this paper, we present an information accountability framework (IAF) for e-health systems. The IAF is intended to address privacy issues and their competing concerns related to e-health. Capabilities of the IAF adhere to information accountability principles and e-health requirements. Policy representation and policy reasoning are key capabilities introduced in the IAF. We investigate how these capabilities are feasible using Semantic Web technologies. We discuss with the use of a case scenario, how we can represent the different types of policies in the IAF using the Open Digital Rights Language (ODRL).

Online multiple profile manager for eHealth information sharing

Online social networks connect millions of people around the globe. These electronic bonds make individuals comfortable with their behaviours. Such positive signs of sharing information is useful phenomena requires consideration to establish a socio-scientific effect. Recently, many web users have more than one social networking account. This means a user may hold multiple profiles which are stored in different Social Network Sites (SNNs). Maintaining these multiple online social network profiles is cumbersome and time-consuming [1]. In this paper we will propose a framework for the management of a user's multiple profiles. A demonstrator, called Multiple Profile Manager (MPM), will be showcased to illustrate how effective the framework will be.

Accountable-eHealth systems : the next step forward for privacy

EHealth systems promise enviable benefits and capabilities for healthcare. But, the technologies that make these capabilities possible brings with them undesirable drawback such as information security related threats which need to be appropriately addressed. Lurking in these threats are patient privacy concerns. Fulfilling these privacy concerns have proven to be difficult since they often conflict with information requirements of care providers. It is important to achieve a proper balance between these requirements. We believe that information accountability can achieve this balance. In this paper we introduce accountable-eHealth systems. We will discuss how our designed protocols can successfully address the aforementioned requirement. We will also compare characteristics of AeH systems with Australia’s PCEHR system and identify similarities and highlight the differences and the impact those differences would have to the eHealth domain.

Legal issues related to Accountable-eHealth systems in Australia

Information privacy requirements of patients and information requirements of healthcare providers (HCP) are competing concerns. Reaching a balance between these requirements have proven difficult but is crucial for the success of eHealth systems. The traditional approaches to information management have been preventive measures which either allow or deny access to information. We believe that this approach is inappropriate for a domain such as healthcare. We contend that introducing information accountability (IA) to eHealth systems can reach the aforementioned balance without the need for rigid information control. IA is a fairly new concept to computer science, hence; there are no unambiguously accepted principles as yet. But the concept delivers promising advantages to information management in a robust manner. Accountable-eHealth (AeH) systems are eHealth systems which use IA principles as the measure for privacy and information management. AeH systems face three main impediments; technological, social and ethical and legal. In this paper, we present the AeH model and focus on the legal aspects of AeH systems in Australia. We investigate current legislation available in Australia regarding health information management and identify future legal requirements if AeH systems are to be implemented in Australia.

Designing an information accountability framework for eHealth

Information privacy is a crucial aspect of eHealth. Appropriate privacy management measures are therefore essential for its success. However, traditional measures for privacy preservation such as rigid access controls (i.e., preventive measures) are not suitable to eHealth because of the specialised and information - intensive nature of healthcare itself, and the nature of the information. Healthcare professionals (HCP) require easy, unrestricted access to as much information as possible towards making well - informed decisions. On the other end of the scale however, consumers (i.e., patients) demand control over their health information and raise concerns for privacy arising from internal activities (i.e., information use by HCPs). A proper balance of these competing concerns is vital for the implementation of successful eHealth systems. Towards reaching this balance, we propose an information accountability framework (IAF) for eHealth systems.

The role of human factors when evaluating information accountability for eHealth systems

The availability of health information is rapidly increasing; its expansion and proliferation is inevitable. At the same time, breeding of health information silos is an unstoppable and relentless exercise. Information security and privacy concerns are therefore major barriers in the eHealth socio-eco system. We proposed Information Accountability as a measurable human factor that should eliminate and mitigate security concerns. Information accountability measures would be practicable and feasible if legislative requirements are also embedded. In this context, information accountability constitutes a key component for the development of effective information technology requirements for health information system. Our conceptual approach to measuring human factors related to information accountability in eHealth is presented in this paper with some limitations.

eHealth in Australia and elsewhere : a comparison and lessons for the near future

Meticulous planning and preparation do not always guarantee that eHealth programs unfold as predicted. eHealth entails interdependent social interactions which are difficult to predict without past experience or reference to lessons learned. Judicious insight into past case studies and eventualities, therefore, is essential towards building a successful eHealth solution. Australia’s eHealth program is at a crucial stage where appropriate policy considerations and operational changes are in order. In this paper, we present an initial exploration of prominent eHealth initiatives of other countries to identify similarities, differences and to seek lessons towards making Australia’s eHealth initiative a better journey.

Designing an information accountability framework for eHealth

This tutorial is primarily based on the IEEE eHealth technical committee Newsletter published in March 2013. Its main focus is on information privacy management in eHealth through information accountability. The tutorial consists of three main aspects of a proposed information accountability framework for eHealth, namely, social aspects, technical aspects and legal aspects. Following a brief introduction of the problem domain and context, we present the tutorial in these three main components. The length of the tutorial is intended to be half a day.

Identifying and using ehealth phobias to implement communication protocols and change cultural and social behaviours in ehealth

Standardisation of validated communication protocols that aid in the adoption of policies, methods and tools in a secure eHealth setting require a significant cultural shift among clinicians

Practical issues when designing an information accountability framework for eHealth systems

This thesis is the result of an investigation into information privacy management in eHealth. It explores the applicability of accountability measures as a means of protection of eHealth consumer privacy. The thesis presented a new concept of Accountable eHealth Systems for achieving a balance between the information privacy concerns of eHealth consumers and the information access requirements of healthcare professionals and explored the social, technological and implementation aspects involved in such a system.

Security and privacy in eHealth : is it possible? A sociotechnical analysis

Advances in Information and Communication Technologies have the potential to improve many facets of modern healthcare service delivery. The implementation of electronic health records systems is a critical part of an eHealth system. Despite the potential gains, there are several obstacles that limit the wider development of electronic health record systems. Among these are the perceived threats to the security and privacy of patients’ health data, and a widely held belief that these cannot be adequately addressed. We hypothesise that the major concerns regarding eHealth security and privacy cannot be overcome through the implementation of technology alone. Human dimensions must be considered when analysing the provision of the three fundamental information security goals: confidentiality, integrity and availability. A sociotechnical analysis to establish the information security and privacy requirements when designing and developing a given eHealth system is important and timely. A framework that accommodates consideration of the legislative requirements and human perspectives in addition to the technological measures is useful in developing a measurable and accountable eHealth system. Successful implementation of this approach would enable the possibilities, practicalities and sustainabilities of proposed eHealth systems to be realised.

Consumer engagement with eHealth information through smartphones and tablets : an Australian perspective

This paper is a work in progress that examines current consumer engagement with eHealth information through Smartphones or tablets. We focus on three activity types: seeking, posting and ‘other’ engagement activity and compare two age groups, 25-40s and over 40-55s. Findings show that around 30% of the younger age group is engaging with Government and other Health providers’ websites, receiving eHealth emails, and reading other people’s comments about health related issues in online discussion groups/websites/blog. Approximately 20% engage with Government and other Health providers’ social media and watch or listen to audio or video podcasts. For the older age group, their most active engagement with eHealth information is in the seeking category through Government or other health websites (approximately 15%), and less than 10% for social media sites. Their posting activity is less than 5%. Other activities show that less than 15% of the older age group engages through receiving emails and reading blogs, less than 10% watch or listen to podcasts, and their online consulting activity is less than 7%. We note that scores are low for both groups in terms of engaging with eHealth information through Twitter.

Accountable-eHealth systems : the next step forward for privacy

eHealth systems promise enviable benefits and capabilities for healthcare delivery. However, the technologies that make these capabilities possible introduce undesirable drawbacks such as information security related threats, which need to be appropriately addressed. Lurking in these threats are information privacy concerns. Addressing them has proven to be difficult because they often conflict with information access requirements of healthcare providers. Therefore, it is important to achieve an appropriate balance between these requirements. We contend that information accountability (IA) can achieve this balance. In this paper, we introduce accountable-eHealth (AeH) systems, which are eHealth systems that utilise IA as a measure of information privacy. We discuss how AeH system protocols can successfully achieve the aforementioned balance of requirements. As a means of implementation feasibility, we compare characteristics of AeH systems with Australia’s Personally Controlled Electronic Health Record (PCEHR) sys-tem and identify similarities and highlight the differences and the impact those differences would have to the eHealth domain.

Retrieval of health advice on the web: AEHRC at ShARe/CLEF eHealth Evaluation Lab Task 3

This paper details the participation of the Australian e- Health Research Centre (AEHRC) in the ShARe/CLEF 2013 eHealth Evaluation Lab { Task 3. This task aims to evaluate the use of information retrieval (IR) systems to aid consumers (e.g. patients and their relatives) in seeking health advice on the Web. Our submissions to the ShARe/CLEF challenge are based on language models generated from the web corpus provided by the organisers. Our baseline system is a standard Dirichlet smoothed language model. We enhance the baseline by identifying and correcting spelling mistakes in queries, as well as expanding acronyms using AEHRC's Medtex medical text analysis platform. We then consider the readability and the authoritativeness of web pages to further enhance the quality of the document ranking. Measures of readability are integrated in the language models used for retrieval via prior probabilities. Prior probabilities are also used to encode authoritativeness information derived from a list of top-100 consumer health websites. Empirical results show that correcting spelling mistakes and expanding acronyms found in queries signi cantly improves the e ectiveness of the language model baseline. Readability priors seem to increase retrieval e ectiveness for graded relevance at early ranks (nDCG@5, but not precision), but no improvements are found at later ranks and when considering binary relevance. The authoritativeness prior does not appear to provide retrieval gains over the baseline: this is likely to be because of the small overlap between websites in the corpus and those in the top-100 consumer-health websites we acquired.

Identify disorders in health records using Conditional Random Fields and Metamap: AEHRC at ShARe/CLEF 2013 eHealth Evaluation Lab Task 1

The Australian e-Health Research Centre (AEHRC) recently participated in the ShARe/CLEF eHealth Evaluation Lab Task 1. The goal of this task is to individuate mentions of disorders in free-text electronic health records and map disorders to SNOMED CT concepts in the UMLS metathesaurus. This paper details our participation to this ShARe/CLEF task. Our approaches are based on using the clinical natural language processing tool Metamap and Conditional Random Fields (CRF) to individuate mentions of disorders and then to map those to SNOMED CT concepts. Empirical results obtained on the 2013 ShARe/CLEF task highlight that our instance of Metamap (after ltering irrelevant semantic types), although achieving a high level of precision, is only able to identify a small amount of disorders (about 21% to 28%) from free-text health records. On the other hand, the addition of the CRF models allows for a much higher recall (57% to 79%) of disorders from free-text, without sensible detriment in precision. When evaluating the accuracy of the mapping of disorders to SNOMED CT concepts in the UMLS, we observe that the mapping obtained by our ltered instance of Metamap delivers state-of-the-art e ectiveness if only spans individuated by our system are considered (`relaxed' accuracy).