Child abuse monitor system model: a health care critical knowledge monitor system

The Childhood protection is a subject with high value for the society, but, the Child Abuse cases are difficult to identify. The process from suspicious to accusation is very difficult to achieve. It must configure very strong evidences. Typically, Health Care services deal with these cases from the beginning where there are evidences based on the diagnosis, but they aren’t enough to promote the accusation. Besides that, this subject it’s highly sensitive because there are legal aspects to deal with such as: the patient privacy, paternity issues, medical confidentiality, among others. We propose a Child Abuses critical knowledge monitor system model that addresses this problem. This decision support system is implemented with a multiple scientific domains: to capture of tokens from clinical documents from multiple sources; a topic model approach to identify the topics of the documents; knowledge management through the use of ontologies to support the critical knowledge sensibility concepts and relations such as: symptoms, behaviors, among other evidences in order to match with the topics inferred from the clinical documents and then alert and log when clinical evidences are present. Based on these alerts clinical personnel could analyze the situation and take the appropriate procedures.

A geographic opportunistic forwarding strategy for vehicular named data networking

Studies in Computational Intelligence, 616

Step towards multiplatform framework for supporting pediatric and neonatology care unit decision process

Children are an especially vulnerable population, particularly in respect to drug administration. It is estimated that neonatal and pediatric patients are at least three times more vulnerable to damage due to adverse events and medication errors than adults are. With the development of this framework, it is intended the provision of a Clinical Decision Support System based on a prototype already tested in a real environment. The framework will include features such as preparation of Total Parenteral Nutrition prescriptions, table pediatric and neonatal emergency drugs, medical scales of morbidity and mortality, anthropometry percentiles (weight, length/height, head circumference and BMI), utilities for supporting medical decision on the treatment of neonatal jaundice and anemia and support for technical procedures and other calculators and widespread use tools. The solution in development means an extension of INTCare project. The main goal is to provide an approach to get the functionality at all times of clinical practice and outside the hospital environment for dissemination, education and simulation of hypothetical situations. The aim is also to develop an area for the study and analysis of information and extraction of knowledge from the data collected by the use of the system. This paper presents the architecture, their requirements and functionalities and a SWOT analysis of the solution proposed.

Apoio à decisão na análise inteligente de reclamações

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Information systems for water resources management improvement in developing countries

Water resources management, as also water service provision projects in developing countries have difficulties to take adequate decisions due to scarce reliable information, and a lack of proper information managing. Some appropriate tools need to be developed in order to improve decision making to improve water management and access of the poorest, through the design of Decision Support Systems (DSS). On the one side, a DSS for developing co-operation projects on water access improvement has been developed. Such a tool has specific context constrains (structure of the system, software requirements) and needs (Logical Framework Approach monitoring, organizational-learning, accountability and evaluation) that shall be considered for its design. Key aspects for its successful implementation have appeared to be a participatory design of the system and support of the managerial positions at the inception phase. A case study in Tanzania was conducted, together with the Spanish NGO ONGAWA – Ingeniería para el Desarrollo. On the other side, DSS are required also to improve decision making on water management resources in order to achieve a sustainable development that not only improves the living conditions of the population in developing countries, but that also does not hinder opportunities of the poorest on those context. A DSS made to fulfil these requirements shall be using information from water resources modelling, as also on the environment and the social context. Through the research, a case study has been conducted in the Central Rift Valley of Ethiopia, an endhorreic basin 160 km south of Addis Ababa. There, water has been modelled using ArcSWAT, a physically based model which can assess the impact of land management practices on large complex watersheds with varying soils, land use and management conditions over long periods of time. Moreover, governance on water and environment as also the socioeconomic context have been studied.

Conceptual models for designing information systems supporting the strategic analysis of technology environments

1 6 STRUCTURE OF THIS THESIS -Chapter I presents the motivations of this dissertation by illustrating two gaps in the current body of knowledge that are worth filling, describes the research problem addressed by this thesis and presents the research methodology used to achieve this goal. -Chapter 2 shows a review of the existing literature showing that environment analysis is a vital strategic task, that it shall be supported by adapted information systems, and that there is thus a need for developing a conceptual model of the environment that provides a reference framework for better integrating the various existing methods and a more formal definition of the various aspect to support the development of suitable tools. -Chapter 3 proposes a conceptual model that specifies the various enviromnental aspects that are relevant for strategic decision making, how they relate to each other, and ,defines them in a more formal way that is more suited for information systems development. -Chapter 4 is dedicated to the evaluation of the proposed model on the basis of its application to a concrete environment to evaluate its suitability to describe the current conditions and potential evolution of a real environment and get an idea of its usefulness. -Chapter 5 goes a step further by assembling a toolbox describing a set of methods that can be used to analyze the various environmental aspects put forward by the model and by providing more detailed specifications for a number of them to show how our model can be used to facilitate their implementation as software tools. -Chapter 6 describes a prototype of a strategic decision support tool that allow the analysis of some of the aspects of the environment that are not well supported by existing tools and namely to analyze the relationship between multiple actors and issues. The usefulness of this prototype is evaluated on the basis of its application to a concrete environment. -Chapter 7 finally concludes this thesis by making a summary of its various contributions and by proposing further interesting research directions.

Exploring the value creation in service ecosystem context: the case of the information technology sector

This thesis examines customer value creation in a service ecosystem context. The objective of this thesis is to develop a comprehensive view of value creation processes in a service ecosystem context and an understanding on the roles of the stakeholders involved in these processes, focusing on the information technology industry. The novelty of the two central concepts of this thesis, systemic customer value and service ecosystem, as well as the gap in the literature of empirical research on value creation in an ecosystem-level, opened an interesting research topic. The empirical study is conducted as a single case analysis, utilizing Group Decision Support System (GDSS) and also Analytic Hierarchy Process (AHP). The findings suggest that customer value is created by a complex combination of interactions among different actors of the ecosystem. Thus, value is not created by a single offering directed to the customer, but by an integration of services from different parts of the ecosystem as well as the active participation of customer in this process.

Uraohjaus ja urasuunnittelu ammattikorkeakoulussa

Tutkimuksen tarkoituksena oli selvittää, millaista uraohjausta ammattikorkeakoulun tuutoriopettajat antavat ja millaista uraohjausta opiskelijat haluavat. Lisäksi tavoitteena oli selvittää, löytyykö opiskelijoiden koulutusalavalinnan perusteista yhteyttä uran suunnittelutaitoihin ja ohjauksen tarpeeseen, ja tunnistavatko tuutoriopettajat opiskelijoiden erilaiset uraohjauksen tarpeet. Tutkimuksen teoreettisissa rakenteissa hyödynnettiin kolmea postmodernia urateoriaa, jotka olivat Hodkinsonin ja Sparkesin (1997) uranvalinnan päätöksentekoteoria, Mitchellin, Lewinin ja Krumbolzin (1999) suunnitellun sattuman teoria ja Savickasin (2005) uran rakentamisteoria. Tutkimusympäristönä oli Satakunnan ammattikorkeakoulu. Tutkimus oli kaksivaiheinen. Ensimmäisessä vaiheessa kerättiin harkinnanvaraisesti valituilta tuutoriopettajilta (n=14) ja opintojensa eri vaiheissa olevilta opiskelijoilta (n=65) kirjoitettu aineisto. Kvalitatiivinen aineisto analysoitiin sisällönanalyysillä. Aineiston perusteella löydettiin kolmenlaisia urasuunnittelijoita: epävarmat, uteliaat ja tietoiset. Aineiston perusteella laadittiin kyselylomake tutkimuksen toisen vaiheen tiedonkeruuta varten. Tutkimuksen toisessa vaiheessa kerättiin opintojen eri vaiheissa olevilta opiskelijoilta kyselylomakekyselynä kvantitatiivinen aineisto (n=903), joka analysoitiin tilastollisin menetelmin. Koulutusalavalinnan perusteista elämäntilanne, alan mahdollisuudet, oma toive, kutsumus, aktiivinen tiedonhaku ja halu opiskella ammattikorkeakoulussa olivat yhteydessä opiskelijan hyvään urasuunnittelukykyyn. Näillä perusteilla koulutusalansa valinneita tietoisiksi luokiteltuja urasuunnittelijoita oli 72 % vastanneista. Alavalinnan perusteista sattuman, kavereiden, sukulaisten, lukion opinto-ohjauksen ja paikkakunnan perusteella koulutusalansa valinneet luokiteltiin epävarmoiksi urasuunnittelijoiksi, ja heitä oli 28 % vastanneista. Tulokset antavat ohjaajille tukea epävarman ja muita enemmän uraohjausta tarvitsevan opiskelijan tunnistamiseen ja heidän hops-prosessinsa tehostamiseen opintojen alusta asti. Lisäksi tulosten perusteella esitetään seuraavia suosituksia: tuutoriopettajille tulisi asettaa pätevyysvaatimukseksi ohjausalan opintojen suorittaminen; opiskelijoita tulisi ohjata tunnistamaan erilaisia satunnaisesti avautuvia mahdollisuuksia ja tietoisesti hyödyntämään niitä elämässään; uraohjaukseen tulisi kytkeä mukaan työelämäyhteistyö; ohjaajien tulisi tiivistää yhteistyötä toisen asteen ohjaajien kanssa, jotta opiskelijoiden koulutusalavalinnat onnistuisivat paremmin; uraohjausta tulisi antaa tulevaisuuden kvalifikaatioiden ennakoinnin ja elinikäisten oppimisvalmiuksien näkökulmasta.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.

The Influence of Arousal on Moral Decision-making for Individuals with and without Mild Head Injury

Recent research has shown that University students with a history of self-reported mild head injury (MHI) are more willing to endorse moral transgressions associated with personal, relative to impersonal, dilemmas (Chiappetta & Good, 2008). However, the terms 'personal' and 'impersonal' in these dilemmas have functionally confounded the 'intentionality' of the transgression with the 'personal impact' or 'outcome' of the transgression. In this study we used a modified version of these moral dilemmas to investigate decision-making and sympathetic nervous system responsivity. Forty-eight University students (24 with MHI, 24 with no-MHI) read 24 scenarios depicting moral dilemmas varying as a function of 'intentionality' of the act (deliberate or unintentional) and its 'outcome' (physical harm, no physical harm, non-moral) and were required to rate their willingness to engage in the act. Physiological indices of arousal (e.g., heart rate - HR) were recorded throughout. Additionally, participants completed several neurocognitive tests. Results indicated significantly lowered HR activity at baseline, prior to, and during (but not after) making a decision for each type of dilemma for participants with MHI compared to their non-injured cohort. Further, they were more likely than their cohort to authorize personal injuries that were deliberately induced. MHI history was also associated with better performance on tasks of cognitive flexibility and attention; while students' complaints of postconcussive symptoms and their social problem solving abilities did not differ as a function of MHI history. The results provide subtle support for the hypothesis that both emotional and cognitive information guide moral decision making in ambiguous and emotionally distressing situations. Persons with even a MHI have diminished physiological arousal that may reflect disruption to the neural pathways of the VMPFC/OFC similar to those with more severe injuries.

Construction et validation de filtres de recherche bibliographique pour soutenir la prise de décisions basée sur les évidences : le cas de la sécurité des patients.

Les filtres de recherche bibliographique optimisés visent à faciliter le repérage de l’information dans les bases de données bibliographiques qui sont presque toujours la source la plus abondante d’évidences scientifiques. Ils contribuent à soutenir la prise de décisions basée sur les évidences. La majorité des filtres disponibles dans la littérature sont des filtres méthodologiques. Mais pour donner tout leur potentiel, ils doivent être combinés à des filtres permettant de repérer les études couvrant un sujet particulier. Dans le champ de la sécurité des patients, il a été démontré qu’un repérage déficient de l’information peut avoir des conséquences tragiques. Des filtres de recherche optimisés couvrant le champ pourraient s’avérer très utiles. La présente étude a pour but de proposer des filtres de recherche bibliographique optimisés pour le champ de la sécurité des patients, d’évaluer leur validité, et de proposer un guide pour l’élaboration de filtres de recherche. Nous proposons des filtres optimisés permettant de repérer des articles portant sur la sécurité des patients dans les organisations de santé dans les bases de données Medline, Embase et CINAHL. Ces filtres réalisent de très bonnes performances et sont spécialement construits pour les articles dont le contenu est lié de façon explicite au champ de la sécurité des patients par leurs auteurs. La mesure dans laquelle on peut généraliser leur utilisation à d’autres contextes est liée à la définition des frontières du champ de la sécurité des patients.

Information Discovery in Distributed Systems-A Novel Concept Based on Modelling of Information Elements

Sharing of information with those in need of it has always been an idealistic goal of networked environments. With the proliferation of computer networks, information is so widely distributed among systems, that it is imperative to have well-organized schemes for retrieval and also discovery. This thesis attempts to investigate the problems associated with such schemes and suggests a software architecture, which is aimed towards achieving a meaningful discovery. Usage of information elements as a modelling base for efficient information discovery in distributed systems is demonstrated with the aid of a novel conceptual entity called infotron.The investigations are focused on distributed systems and their associated problems. The study was directed towards identifying suitable software architecture and incorporating the same in an environment where information growth is phenomenal and a proper mechanism for carrying out information discovery becomes feasible. An empirical study undertaken with the aid of an election database of constituencies distributed geographically, provided the insights required. This is manifested in the Election Counting and Reporting Software (ECRS) System. ECRS system is a software system, which is essentially distributed in nature designed to prepare reports to district administrators about the election counting process and to generate other miscellaneous statutory reports.Most of the distributed systems of the nature of ECRS normally will possess a "fragile architecture" which would make them amenable to collapse, with the occurrence of minor faults. This is resolved with the help of the penta-tier architecture proposed, that contained five different technologies at different tiers of the architecture.The results of experiment conducted and its analysis show that such an architecture would help to maintain different components of the software intact in an impermeable manner from any internal or external faults. The architecture thus evolved needed a mechanism to support information processing and discovery. This necessitated the introduction of the noveI concept of infotrons. Further, when a computing machine has to perform any meaningful extraction of information, it is guided by what is termed an infotron dictionary.The other empirical study was to find out which of the two prominent markup languages namely HTML and XML, is best suited for the incorporation of infotrons. A comparative study of 200 documents in HTML and XML was undertaken. The result was in favor ofXML.The concept of infotron and that of infotron dictionary, which were developed, was applied to implement an Information Discovery System (IDS). IDS is essentially, a system, that starts with the infotron(s) supplied as clue(s), and results in brewing the information required to satisfy the need of the information discoverer by utilizing the documents available at its disposal (as information space). The various components of the system and their interaction follows the penta-tier architectural model and therefore can be considered fault-tolerant. IDS is generic in nature and therefore the characteristics and the specifications were drawn up accordingly. Many subsystems interacted with multiple infotron dictionaries that were maintained in the system.In order to demonstrate the working of the IDS and to discover the information without modification of a typical Library Information System (LIS), an Information Discovery in Library Information System (lDLIS) application was developed. IDLIS is essentially a wrapper for the LIS, which maintains all the databases of the library. The purpose was to demonstrate that the functionality of a legacy system could be enhanced with the augmentation of IDS leading to information discovery service. IDLIS demonstrates IDS in action. IDLIS proves that any legacy system could be augmented with IDS effectively to provide the additional functionality of information discovery service.Possible applications of IDS and scope for further research in the field are covered.

Numerical aspects in the data model of conceptual information systems

While most data analysis and decision support tools use numerical aspects of the data, Conceptual Information Systems focus on their conceptual structure. This paper discusses how both approaches can be combined.

Scalable real-time crisis mapping and analytics of social media streams for disaster management and breaking news

Real-time geoparsing of social media streams (e.g. Twitter, YouTube, Instagram, Flickr, FourSquare) is providing a new 'virtual sensor' capability to end users such as emergency response agencies (e.g. Tsunami early warning centres, Civil protection authorities) and news agencies (e.g. Deutsche Welle, BBC News). Challenges in this area include scaling up natural language processing (NLP) and information retrieval (IR) approaches to handle real-time traffic volumes, reducing false positives, creating real-time infographic displays useful for effective decision support and providing support for trust and credibility analysis using geosemantics. I will present in this seminar on-going work by the IT Innovation Centre over the last 4 years (TRIDEC and REVEAL FP7 projects) in building such systems, and highlights our research towards improving trustworthy and credible of crisis map displays and real-time analytics for trending topics and influential social networks during major news worthy events.