Medical Library and Information System for India: A Proposal

This research concerns the design and planning of a medical library and information system for India. Based on a questionnaire survey, it examines the strengths and weaknesses of the existing resources, services and cooperative activities in Indian medical and health science libraries. The study reveals the lack of coordination or resource sharing activities in these libraries and concludes that owing to inadequate budgetary provisions, document collections and a wide gap between the present service provisions and actual requirements, there is need to rationalise and supplement the existing infrastructural resources into a nationwide networking system. In order to gain information about the concept and planning of regional library systems and the need for a regional library or regional library unit, four different regional medical library and information systems in the U.K., namely Oxford, South West Thames, North Western and Trent, were surveyed. The focus is to ascertain in what ways the development of a regional library system could result in improvement of library services in the region and the factors that lead to particular successes (or failures) in operation and administration of direct regional support services. The survey also examines the nature of relationships between the regional library unit and member libraries and the extent to which regional services are used and valued. The proposed system for India (MEDLIS) is based on the particular context to which it relates. The results of the design are mainly presented by either descriptive or analytical models, decided by the category of issues involved. The research has focused on the organisational aspects of system planning and attempts to delineate and analyse those factors that will ultimately govern the configuration and functions of a national medical library networking system and its units on a regional basis. However, macro-considerations of technology are inevitable and three alternate programmes are suggested. Recommendations are made about the future developments of a national medical library system and a possible implementation plan is outlined

The effects of interoperable information technology networks on patient safety: a realist synthesis

Background Interoperable networks connect information technology systems of different organisations, allowing professionals in one organisation to access patient data held in another one. Health policy-makers in many countries believe that they will improve the co-ordination of services and, hence, the quality of services and patient safety. To the best of our knowledge, there have not been any previous systematic reviews of the effects of these networks on patient safety. Objectives The aim of the study was to establish how, why and in what circumstances interoperable information technology networks improved patient safety, failed to do so or increased safety risks. The objectives of the study were to (1) identify programme theories and prioritise theories to review; (2) search systematically for evidence to test the theories; (3) undertake quality appraisal, and use included texts to support, refine or reject programme theories; (4) synthesise the findings; and (5) disseminate the findings to a range of audiences. Design Realist synthesis, including consultation with stakeholders in nominal groups and semistructured interviews. Settings and participants Following a stakeholder prioritisation process, several domains were reviewed: older people living at home requiring co-ordinated care, at-risk children living at home and medicines reconciliation services for any patients living at home. The effects of networks on services in health economies were also investigated. Intervention An interoperable network that linked at least two organisations, including a maximum of one hospital, in a city or region. Outcomes Increase, reduction or no change in patients’ risks, such as a change in the risk of taking an inappropriate medication. Results We did not find any detailed accounts of the ways in which interoperable networks are intended to work and improve patient safety. Theory fragments were identified and used to develop programme and mid-range theories. There is good evidence that there are problems with the co-ordination of services in each of the domains studied. The implicit hypothesis about interoperable networks is that they help to solve co-ordination problems, but evidence across the domains showed that professionals found interoperable networks difficult to use. There is insufficient evidence about the effectiveness of interoperable networks to allow us to establish how and why they affect patient safety. Limitations The lack of evidence about patient-specific measures of effectiveness meant that we were not able to determine ‘what works’, nor any variations in what works, when interoperable networks are deployed and used by health and social care professionals. Conclusions There is a dearth of evidence about the effects of interoperable networks on patient safety. It is not clear if the networks are associated with safer treatment and care, have no effects or increase clinical risks. Future work Possible future research includes primary studies of the effectiveness of interoperable networks, of economies of scope and scale and, more generally, on the value of information infrastructures. Study registration This study is registered as PROSPERO CRD42017073004. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 40. See the NIHR Journals Library website for further project information

The effects of interoperable information technology networks on patient safety: a realist synthesis

Background Interoperable networks connect information technology systems of different organisations, allowing professionals in one organisation to access patient data held in another one. Health policy-makers in many countries believe that they will improve the co-ordination of services and, hence, the quality of services and patient safety. To the best of our knowledge, there have not been any previous systematic reviews of the effects of these networks on patient safety. Objectives The aim of the study was to establish how, why and in what circumstances interoperable information technology networks improved patient safety, failed to do so or increased safety risks. The objectives of the study were to (1) identify programme theories and prioritise theories to review; (2) search systematically for evidence to test the theories; (3) undertake quality appraisal, and use included texts to support, refine or reject programme theories; (4) synthesise the findings; and (5) disseminate the findings to a range of audiences. Design Realist synthesis, including consultation with stakeholders in nominal groups and semistructured interviews. Settings and participants Following a stakeholder prioritisation process, several domains were reviewed: older people living at home requiring co-ordinated care, at-risk children living at home and medicines reconciliation services for any patients living at home. The effects of networks on services in health economies were also investigated. Intervention An interoperable network that linked at least two organisations, including a maximum of one hospital, in a city or region. Outcomes Increase, reduction or no change in patients’ risks, such as a change in the risk of taking an inappropriate medication. Results We did not find any detailed accounts of the ways in which interoperable networks are intended to work and improve patient safety. Theory fragments were identified and used to develop programme and mid-range theories. There is good evidence that there are problems with the co-ordination of services in each of the domains studied. The implicit hypothesis about interoperable networks is that they help to solve co-ordination problems, but evidence across the domains showed that professionals found interoperable networks difficult to use. There is insufficient evidence about the effectiveness of interoperable networks to allow us to establish how and why they affect patient safety. Limitations The lack of evidence about patient-specific measures of effectiveness meant that we were not able to determine ‘what works’, nor any variations in what works, when interoperable networks are deployed and used by health and social care professionals. Conclusions There is a dearth of evidence about the effects of interoperable networks on patient safety. It is not clear if the networks are associated with safer treatment and care, have no effects or increase clinical risks. Future work Possible future research includes primary studies of the effectiveness of interoperable networks, of economies of scope and scale and, more generally, on the value of information infrastructures. Study registration This study is registered as PROSPERO CRD42017073004. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 40. See the NIHR Journals Library website for further project information

Development of a text mining approach to disease network discovery

Scientific literature is one of the major sources of knowledge for systems biology, in the form of papers, patents and other types of written reports. Text mining methods aim at automatically extracting relevant information from the literature. The hypothesis of this thesis was that biological systems could be elucidated by the development of text mining solutions that can automatically extract relevant information from documents. The first objective consisted in developing software components to recognize biomedical entities in text, which is the first step to generate a network about a biological system. To this end, a machine learning solution was developed, which can be trained for specific biological entities using an annotated dataset, obtaining high-quality results. Additionally, a rule-based solution was developed, which can be easily adapted to various types of entities. The second objective consisted in developing an automatic approach to link the recognized entities to a reference knowledge base. A solution based on the PageRank algorithm was developed in order to match the entities to the concepts that most contribute to the overall coherence. The third objective consisted in automatically extracting relations between entities, to generate knowledge graphs about biological systems. Due to the lack of annotated datasets available for this task, distant supervision was employed to train a relation classifier on a corpus of documents and a knowledge base. The applicability of this approach was demonstrated in two case studies: microRNAgene relations for cystic fibrosis, obtaining a network of 27 relations using the abstracts of 51 recently published papers; and cell-cytokine relations for tolerogenic cell therapies, obtaining a network of 647 relations from 3264 abstracts. Through a manual evaluation, the information contained in these networks was determined to be relevant. Additionally, a solution combining deep learning techniques with ontology information was developed, to take advantage of the domain knowledge provided by ontologies. This thesis contributed with several solutions that demonstrate the usefulness of text mining methods to systems biology by extracting domain-specific information from the literature. These solutions make it easier to integrate various areas of research, leading to a better understanding of biological systems

Preventing the next Aedes-borne arboviral disease epidemic

Dengue, chikungunya and Zika are infectious diseases transmitted to humans by Aedes species mosquitoes (mainly Aedes aegypti). These arboviruses caused outbreaks in several countries belonging to Africa, America, Asia, the Caribbean, and the Pacific. Besides all recommendations of the World Health Organization (WHO), and novel mosquito control strategies that have been developed, countries are still struggling with preventing and controlling the transmission of Aedes-borne infectious diseases (ABIDs). To overcome the difficulties in ABID control interventions, first, the challenges with regards to Aedes control at the macro-level (health system), meso-level (community), and the micro-level (individuals) of that specific country need to be determined. Therefore, this dissertation's overall aim is to investigate the context and concepts shaping the health system, community and individual prevention and control interventions/ behaviour for ABIDs in Curaçao. We have combined different research methodologies (qualitative and quantitative) and disciplines (e.g., epidemiology, entomology, microbiology, and social and environmental sciences) to study the above-mentioned research topics. Different theoretical frameworks and concepts were used to understand the intricate relationship between macro (health system), meso (social groups) and micro-level (individuals) vis-à-vis ABIDs prevention and control. All studies presented in this thesis provide readers with the information to understand the challenges of Aedes control in Curaçao holistically. Our results highlight the relevance of risk communication, cultural schemas, and heuristics in disease control. This information is useful to policymakers and others concerned with the prevention and control of ABIDs

New Fundamental Technologies in Data Mining

The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining

Enhanced Living Environments

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area