Developing Virtual Data Warehouse for Rehabilitation Registry in Sabah, Borneo: Towards Big Data Analytics and Geomapping

Clinical registry, defined as an organised system for the collection, storage, retrieval, analysis, and dissemination of information on individuals with a condition that predisposes to the occurrence of a health-related event, are designed through data repository or data warehouse. Data repository is described as a real-time database that consolidates data from a variety of clinical sources that offers a comprehensive source for storage and retrieval of relevant clinical information needed. However, data warehouse is a data repository that concentrates on data queries and data analytics. Rehabilitation registry in Malaysia is still at its infancy with lack of data sharing and integration. As rehabilitation is a subspecialty concerned with the prevention, diagnosis, and rehabilitation of disabling conditions, a registry would allow identification of patients’ demographics, clinical and functional outcomes improvement, benchmarking the delivery of rehabilitation services, and research purposes. The application of virtual data warehouse, cloud computing, big data analytics and geomapping for clinical registries have been implemented well in countries like China and United Kingdom. The main objectives of this research-in-progress paper are to demonstrate the feasibility of developing and designing virtual data warehouse framework based on cloud computing technology, in an attempt towards big data analytics and geomapping implementation for inpatient rehabilitation registry in Sabah, Malaysia

CLINICAL DATA WAREHOUSE: A REVIEW

Clinical decisions are crucial because they are related to human lives. Thus, managers and decision makers inthe clinical environment seek new solutions that can support their decisions. A clinical data warehouse (CDW) is animportant solution that is used to achieve clinical stakeholders’ goals by merging heterogeneous data sources in a centralrepository and using this repository to find answers related to the strategic clinical domain, thereby supporting clinicaldecisions. CDW implementation faces numerous obstacles, starting with the data sources and ending with the tools thatview the clinical information. This paper presents a systematic overview of purpose of CDWs as well as the characteristics;requirements; data sources; extract, transform and load (ETL) process; security and privacy concerns; design approach;architecture; and challenges and difficulties related to implementing a successful CDW. PubMed and Google Scholarare used to find papers related to CDW. Among the total of 784 papers, only 42 are included in the literature review. Thesepapers are classified based on five perspectives, namely methodology, data, system, ETL tool and purpose, to findinsights related to aspects of CDW. This review can contribute answers to questions related to CDW and providerecommendations for implementing a successful CDW

Evaluation Design and Technical Assistance Opportunities: Early Findings From the Beacon Community Program Evaluation Teams

Examines study designs, evaluation approaches, outcome measures, data sources, challenges, and technical assistance needs among sites in a project under the American Recovery and Reinvestment Act to strengthen health information technology capabilities

Business Intelligence systems development in hospitals using an Agile Project Management approach

"Measure to manage" is a widely used expression to demonstrate that good governance must necessarily go through obtaining good data and information. These will allow managers to know the past and the momentum of the business and also to predict, estimate and take the best-informed decisions. The greater the complexity of the business, the greater this need. Healthcare units, specifically hospitals, are organizations that, due to their function and diversity of areas, are considered one of the most complex. In this context, projects for the development of business intelligence solutions, with huge impact and scope, undergo the need for continuous improvement and incremental evolution. Agile methods, by their nature and principles, are suitable to fulfil this need. The purpose of this dissertation is to support future research towards better models with agile tools to develop business intelligence system in hospitals and, manly, to understand how can Agile methodology improve a Business Intelligence System Implementation. This will be done mainly through bibliographical research on the covered topics, namely, Hospitals, Business Intelligence, Agile and Project Management. The expect results will be some clear practical guidelines, that any IT Project Manager could use for an efficient Business Intelligence System implementation using an Agile methodology. This will be done with the presentation of two use cases, from implementations in two hospitals in Portugal, where the Agile proposed model could be used to improve the outcomes of the projects. For that a deep analysis of the various phases of Business Intelligence development was carried out on the basis of information obtained in the literature and on the basis of information obtained in the practical development of Business Intelligence implementation projects. In the end it can be seen that the application of Agile can bring enormous benefits to the development of this kind of project, as, in addition to the advantages listed and widely known about Agile, it can help intensively to bring together and involve all the stakeholders of a project in a common goal of success and effectiveness

Bringing Business Intelligence to Health Information Technology Curriculum

Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health informatics (HI) curricula. In this paper, we took an initial step to fill this gap. We investigated the current HIT educational programs, BI industry, and healthcare BI job listings, and students’ perceptions of BI and how BI could be incorporated into HIT programs. The student survey results showed strong interests from students in a HIT course containing BI components or a BI course specialized in the healthcare context. Based on the student survey and investigation of BI industry and job market, as well as HIT educational programs, we developed a general curriculum framework and exemplar implementation strategies to demonstrate how BI can be incorporated into an HI or HIT program. To the best of our knowledge, this research is the first of its kind. Our approach of integrating information from students, the HIT industry and other HIT programs can also be used as a model for general HIT curriculum development and improvement

CERN openlab Whitepaper on Future IT Challenges in Scientific Research

This whitepaper describes the major IT challenges in scientific research at CERN and several other European and international research laboratories and projects. Each challenge is exemplified through a set of concrete use cases drawn from the requirements of large-scale scientific programs. The paper is based on contributions from many researchers and IT experts of the participating laboratories and also input from the existing CERN openlab industrial sponsors. The views expressed in this document are those of the individual contributors and do not necessarily reflect the view of their organisations and/or affiliates

Doctor of Philosophy

DissertationHealth information technology (HIT) in conjunction with quality improvement (QI) methodologies can promote higher quality care at lower costs. Unfortunately, most inpatient hospital settings have been slow to adopt HIT and QI methodologies. Successful adoption requires close attention to workflow. Workflow is the sequence of tasks, processes, and the set of people or resources needed for those tasks that are necessary to accomplish a given goal. Assessing the impact on workflow is an important component of determining whether a HIT implementation will be successful, but little research has been conducted on the impact of eMeasure (electronic performance measure) implementation on workflow. One solution to addressing implementation challenges such as the lack of attention to workflow is an implementation toolkit. An implementation toolkit is an assembly of instruments such as checklists, forms, and planning documents. We developed an initial eMeasure Implementation Toolkit for the heart failure (HF) eMeasure to allow QI and information technology (IT) professionals and their team to assess the impact of implementation on workflow. During the development phase of the toolkit, we undertook a literature review to determine the components of the toolkit. We conducted stakeholder interviews with HIT and QI key informants and subject matter experts (SMEs) at the US Department of Veteran Affairs (VA). Key informants provided a broad understanding about the context of workflow during eMeasure implementation. Based on snowball sampling, we also interviewed other SMEs based on the recommendations of the key informants who suggested tools and provided information essential to the toolkit development. The second phase involved evaluation of the toolkit for relevance and clarity, by experts in non-VA settings. The experts evaluated the sections of the toolkit that contained the tools, via a survey. The final toolkit provides a distinct set of resources and tools, which were iteratively developed during the research and available to users in a single source document. The research methodology provided a strong unified overarching implementation framework in the form of the Promoting Action on Research Implementation in Health Services (PARIHS) model in combination with a sociotechnical model of HIT that strengthened the overall design of the study

Conceptual Model of Business Value of Business Intelligence Systems

With advances in the business intelligence area, there is an increasing interest for the introduction of business intelligence systems into organizations. Although the opinion about business intelligence and its creation of business value is generally accepted, economic justification of investments into business intelligence systems is not always clear. Measuring the business value of business intelligence in practice is often not carried out due to the lack of measurement methods and resources. Even though the perceived benefits from business intelligence systems, in terms of better information quality or achievement of information quality improvement goals, are far from being neglected, these are only indirect business benefits or the business value of such systems. The true business value of business intelligence systems hides in improved business processes and thus in improved business performance. The aim of the paper is to propose a conceptual model to assess business value of business intelligence systems that was developed on extensive literature review, in-depth interviews, and case study analysis for researching business intelligence systems’ absorbability capabilities or key factors facilitating usage of quality information provided by such systems respectively

The National Transport Data Framework

Report by Professor Peter Landshoff (Cambridge University) and Professor John Polak (Imperial College London) on a project for the Department for Transport. emails: [email protected] [email protected] NTDF is designed to be a resource for data owners to deposit descriptions into a central catalogue, so that people can search for data and find data and understand their characteristics. The value of this is to individuals, to commercial organizations, and to public bodies. For example, services that provide better information to travellers will help to make their journey less stressful and persuade them to make more use of public transport. Transport operators need very diverse information to help them plan developments to their services: demographic, geographical, economic etc. And policy makers need a similar range of information to help them decide how to divide their budget and afterwards to evaluate how valuable it has been.This work was supported by the Department for Transport (DfT)