Sharing and viewing segments of electronic patient records service (SVSEPRS) using multidimensional database model

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The concentration on healthcare information technology has never been determined than it is today. This awareness arises from the efforts to accomplish the extreme utilization of Electronic Health Record (EHR). Due to the greater mobility of the population, EHR will be constructed and continuously updated from the contribution of one or many EPRs that are created and stored at different healthcare locations such as acute Hospitals, community services, Mental Health and Social Services. The challenge is to provide healthcare professionals, remotely among heterogeneous interoperable systems, with a complete view of the selective relevant and vital EPRs fragments of each patient during their care. Obtaining extensive EPRs at the point of delivery, together with ability to search for and view vital, valuable, accurate and relevant EPRs fragments can be still challenging. It is needed to reduce redundancy, enhance the quality of medical decision making, decrease the time needed to navigate through very high number of EPRs, which consequently promote the workflow and ease the extra work needed by clinicians. These demands was evaluated through introducing a system model named SVSEPRS (Searching and Viewing Segments of Electronic Patient Records Service) to enable healthcare providers supply high quality and more efficient services, redundant clinical diagnostic tests. Also inappropriate medical decision making process should be avoided via allowing all patients‟ previous clinical tests and healthcare information to be shared between various healthcare organizations. Multidimensional data model, which lie at the core of On-Line Analytical Processing (OLAP) systems can handle the duplication of healthcare services. This is done by allowing quick search and access to vital and relevant fragments from scattered EPRs to view more comprehensive picture and promote advances in the diagnosis and treatment of illnesses. SVSEPRS is a web based system model that helps participant to search for and view virtual EPR segments, using an endowed and well structured Centralised Multidimensional Search Mapping (CMDSM). This defines different quantitative values (measures), and descriptive categories (dimensions) allows clinicians to slice and dice or drill down to more detailed levels or roll up to higher levels to meet clinicians required fragment

Converging outcomes in nationally shareable electronic health records (NEHRs): An historical institutionalist explanation of similar NEHR outcomes in Australia, England and the United States of America

The adoption of nationally shareable electronic health records (NEHRs) in Australia, England and the United States became major policy and political issues between c1998 and 2015. They continue to be so. As a policy issue, the benefits of ehealth, and subsequently NEHRs as mechanisms for institutional change, were rhetorically popular. Politically however, the development, implementation and regulation of NEHRs proved to be difficult and fraught with criticism from nearly all ehealth stakeholders. The NEHR programs each country pursued at the national level were exceptionally expensive and complex infrastructure undertakings. They involved institutional change management that produced tension amongst stakeholders, required the state to decide on trade-offs that produced winners and losers, and resulted in unintended consequences. Initially, each country approached these policy and political issues differently. Examining why they then had substantially similar outcomes is the substantive puzzle that lies at the centre of this research. This thesis adopts an historical institutionalist approach to explain why state efforts to pursue the development, implementation and regulation of NEHRs at the national level in Australia, England and the United States resulted in substantially similar outcomes despite adopting initially different approaches. The thesis first compares why each case study country pursued ehealth, embarked on organisational change in order to achieve its ehealth and NEHR goals, and adopted NEHRs, noting similarities and major differences. The thesis then compares the state's role in the development of NEHRs at the national level in each country, again noting similarities and differences. A comparative evaluation of the cases is then undertaken in order to explain why each state continued to pursue NEHRs, despite the significant barriers to institutional change they faced. Here, the theoretical concepts of path dependency, critical junctures and incremental change are used to enhance the explanation. The thesis will then explain why the outcomes, as assessed through the lens of public policy evaluation, were substantially similar in each country. Finally, the thesis details the findings of the research through the lens of historical institutionalism and states the significance and implications of the research. The research found that while each case study country approached the policy and political issues of ehealth and NEHRs differently, the outcomes were substantially the same because their goals, and the barriers they faced in trying to achieve them, were very similar. Australia started with a decentralised national health information network (NHIN) then changed to a centralised NEHR. England started with, and continued to pursue, a centralised NEHR. The United States eschewed government development and implementation of an NEHR and took the path of incentivising and regulating electronic health records (EHRs) in an effort to make them nationally shareable. Similar goals across the three countries included moving from a paper to an EHR system; giving patients more control over their health information; making EHRs interoperable; increasing EHR usability and the meaningful use of patient health information; and improving the efficiency and effectiveness of care. Similar barriers included: cost, privacy, trust, stakeholder preferences, and the state attempting to drive change too quickly producing stakeholder resistance and negative outcomes. The thesis findings also provide support for theoretical explanations of institutional stasis and change within the context of path dependency, critical junctures and incremental institutional change

Institutional perspective on introducing enterprise architecture : The case of the Norwegian hospital sector

Paper I, II, and III are not available as a part of the dissertation due to the copyright.The findings from this thesis point to the incongruence between the characteristics of EA and the healthcare domain as specific tensions among the EA logic and different professional logics as a source of deviation. The incongruence comes from the long-term plan-driven EA approach versus healthcare traditions and needs for ad-hoc initiatives. Other themes stem from the EA logic of process standardisation, which poses challenges in gaining acceptance and trust that the processes dinscribe appropriate clinical knowledge and provide support for local variations. Moreover, the EA vision of data integration across organisational units and across IS has implications for concerns about privacy and protection of sensitive data, but this can collide with the healthcare view on patient safety and the need for mission-critical data. This dissertation makes several contributions to research and practice. First, it augments the EA research stream by offering rich insights and specific implications related to challenges of EA institutionalisation in healthcare. A description of the enterprise architects’ logics and the EA logic supplements the EA knowledge base. Likewise, it presents a model of a predicted evolution of the EA initiatives through the phases of optimism, resistance, decline and finally, reconsolidation of the most persistent ones, unless firm mandates are established from the start. Furthermore, the study provides a model that illustrates how coexisting institutional logics maintain their distinct character while allowing compromises that shape EA operationalisation. The model shows a set of scenarios for settling tensions in project decisions. In these scenarios, EA is foregrounded, blended with other available institutional logics or suppressed. Second, this dissertation contributes to an enhanced theoretical and empirical understanding of EA institutionalisation, where regulative, normative and culturalcognitive elements create and maintain EA as an institution, and unsurprisingly, the organisational response impedes the institutionalisation process. The organisational response can be explained by selective activated institutional logics among the actors. However, with targeted institutional work from the actors that want EA to be institutionalised, the process can be reinforced. This thesis also offers some practical suggestions at the national policy level. First, financial arrangements should be assessed to encourage broader involvement from the sub-organisations. Second, through active ownership, they can address the need for enhanced EA understanding and should secure the education of the actors, not the least at the executive level, together with the targeted hires. Furthermore, the need for organisational changes related to EA is under-communicated. The thesis also makes practical suggestions to deal with the challenges, the incongruence and the consequent tensions, mainly by finding solutions that balance between the institutional logics of EA and of healthcare.publishedVersio

"Whose data is it anyway?" The implications of putting small area-level health and social data online

International audienceThe planetary exospheres are poorly known in their outer parts, since the neutral densities are low compared with the instruments detection capabilities. The exospheric models are thus often the main source of information at such high altitudes. We present a new way to take into account analytically the additional effect of the radiation pressure on planetary exospheres. In a series of papers, we present with an Hamiltonian approach the effect of the radiation pressure on dynamical trajectories, density profiles and escaping thermal flux. Our work is a generalization of the study by Bishop and Chamberlain (1989). In this second part of our work, we present here the density profiles of atomic Hydrogen in planetary exospheres subject to the radiation pressure. We first provide the altitude profiles of ballistic particles (the dominant exospheric population in most cases), which exhibit strong asymmetries that explain the known geotail phenomenon at Earth. The radiation pressure strongly enhances the densities compared with the pure gravity case (i.e. the Chamberlain profiles), in particular at noon and midnight. We finally show the existence of an exopause that appears naturally as the external limit for bounded particles, above which all particles are escaping

A Two-Level Information Modelling Translation Methodology and Framework to Achieve Semantic Interoperability in Constrained GeoObservational Sensor Systems

As geographical observational data capture, storage and sharing technologies such as in situ remote monitoring systems and spatial data infrastructures evolve, the vision of a Digital Earth, first articulated by Al Gore in 1998 is getting ever closer. However, there are still many challenges and open research questions. For example, data quality, provenance and heterogeneity remain an issue due to the complexity of geo-spatial data and information representation. Observational data are often inadequately semantically enriched by geo-observational information systems or spatial data infrastructures and so they often do not fully capture the true meaning of the associated datasets. Furthermore, data models underpinning these information systems are typically too rigid in their data representation to allow for the ever-changing and evolving nature of geo-spatial domain concepts. This impoverished approach to observational data representation reduces the ability of multi-disciplinary practitioners to share information in an interoperable and computable way. The health domain experiences similar challenges with representing complex and evolving domain information concepts. Within any complex domain (such as Earth system science or health) two categories or levels of domain concepts exist. Those concepts that remain stable over a long period of time, and those concepts that are prone to change, as the domain knowledge evolves, and new discoveries are made. Health informaticians have developed a sophisticated two-level modelling systems design approach for electronic health documentation over many years, and with the use of archetypes, have shown how data, information, and knowledge interoperability among heterogenous systems can be achieved. This research investigates whether two-level modelling can be translated from the health domain to the geo-spatial domain and applied to observing scenarios to achieve semantic interoperability within and between spatial data infrastructures, beyond what is possible with current state-of-the-art approaches. A detailed review of state-of-the-art SDIs, geo-spatial standards and the two-level modelling methodology was performed. A cross-domain translation methodology was developed, and a proof-of-concept geo-spatial two-level modelling framework was defined and implemented. The Open Geospatial Consortium’s (OGC) Observations & Measurements (O&M) standard was re-profiled to aid investigation of the two-level information modelling approach. An evaluation of the method was undertaken using II specific use-case scenarios. Information modelling was performed using the two-level modelling method to show how existing historical ocean observing datasets can be expressed semantically and harmonized using two-level modelling. Also, the flexibility of the approach was investigated by applying the method to an air quality monitoring scenario using a technologically constrained monitoring sensor system. This work has demonstrated that two-level modelling can be translated to the geospatial domain and then further developed to be used within a constrained technological sensor system; using traditional wireless sensor networks, semantic web technologies and Internet of Things based technologies. Domain specific evaluation results show that twolevel modelling presents a viable approach to achieve semantic interoperability between constrained geo-observational sensor systems and spatial data infrastructures for ocean observing and city based air quality observing scenarios. This has been demonstrated through the re-purposing of selected, existing geospatial data models and standards. However, it was found that re-using existing standards requires careful ontological analysis per domain concept and so caution is recommended in assuming the wider applicability of the approach. While the benefits of adopting a two-level information modelling approach to geospatial information modelling are potentially great, it was found that translation to a new domain is complex. The complexity of the approach was found to be a barrier to adoption, especially in commercial based projects where standards implementation is low on implementation road maps and the perceived benefits of standards adherence are low. Arising from this work, a novel set of base software components, methods and fundamental geo-archetypes have been developed. However, during this work it was not possible to form the required rich community of supporters to fully validate geoarchetypes. Therefore, the findings of this work are not exhaustive, and the archetype models produced are only indicative. The findings of this work can be used as the basis to encourage further investigation and uptake of two-level modelling within the Earth system science and geo-spatial domain. Ultimately, the outcomes of this work are to recommend further development and evaluation of the approach, building on the positive results thus far, and the base software artefacts developed to support the approach

Assessment of the EU Member States' rules on health data in the light of GDPR

In the context of the Single Framework Contract Chafea/2018/Health/03 between the EUHealthSupport Consortium and the Consumers, Health and Food Executive Agency (Chafea), a study was conducted with the objective to examine and present the EU Member States’ rules governing the processing of health data in light of the GDPR, with the objective of highlighting possible differences and identifying elements that might affect the cross-border exchange of health data in the EU, and examining the potential for EU level action to support health data use and re-use. We distinguish between using health data for primary purposes (for treatment of the patient) and secondary purposes (for research, registries and management of the healthcare system). The study provides an evidence-based comparison of the state of play regarding health data governance within the EU. This will help to assess in what areas EU intervention might be needed and if so, through which types of measures, be it measures such as a Code of Conduct for data processing in the health area, which could be supported by an EU level implementing act or more direct legislative action, taking into account the particularities of the health systems in the Member States. The study uses a mixed-methods approach, consisting of the following elements: - Literature review to provide an overview of best practices, bottlenecks, policy options and possible solutions already identified in the literature. - Mapping legal and technical aspects of health data usage at national level to provide an overview of the differences among countries in legislation, regulation and governance models regarding processing health data. - In-depth case studies of national governance models for health data sharing. - Workshops held with MoH representatives, experts, stakeholder representatives and experts from national data protection offices. - Stakeholder Survey to cross validate and supplement the topics addressed and identified in the Member State legal and technical aspects mapping. The results of this study allow for a detailed assessment of possible elements at Member States/EU level that might affect the movement of health data across borders. It also identifies practices that could facilitate this exchange of data, as well as possible policy options for strategies in this area. Finally, we explored possibilities for sustainable governance structures for health data collection, processing and transfer, as well as measures empowering citizens to have more control of their own health data and to ensure portability and interoperability of these data

A Two-Level Identity Model To Support Interoperability of Identity Information in Electronic Health Record Systems.

The sharing and retrieval of health information for an electronic health record (EHR) across distributed systems involves a range of identified entities that are possible subjects of documentation (e.g., specimen, clinical analyser). Contemporary EHR specifications limit the types of entities that can be the subject of a record to health professionals and patients, thus limiting the use of two level models in healthcare information systems that contribute information to the EHR. The literature describes several information modelling approaches for EHRs, including so called “two level models”. These models differ in the amount of structure imposed on the information to be recorded, but they generally require the health documentation process for the EHR to focus exclusively on the patient as the subject of care and this definition is often a fixed one. In this thesis, the author introduces a new identity modelling approach to create a generalised reference model for sharing archetype-constrained identity information between diverse identity domains, models and services, while permitting reuse of published standard-based archetypes. The author evaluates its use for expressing the major types of existing demographic reference models in an extensible way, and show its application for standards-compliant two-level modelling alongside heterogeneous demographics models. This thesis demonstrates how the two-level modelling approach that is used for EHRs could be adapted and reapplied to provide a highly-flexible and expressive means for representing subjects of information in allied health settings that support the healthcare process, such as the laboratory domain. By relying on the two level modelling approach for representing identity, the proposed design facilitates cross-referencing and disambiguation of certain demographics standards and information models. The work also demonstrates how it can also be used to represent additional clinical identified entities such as specimen and order as subjects of clinical documentation