Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

Although African patients use both conventional or modern and traditional healthcare simultaneously, it has been proven that 80% of people rely on African traditional medicine (ATM). ATM includes medical activities stemming from practices, customs and traditions which were integral to the distinctive African cultures. It is based mainly on the oral transfer of knowledge, with the risk of losing critical knowledge. Moreover, practices differ according to the regions and the availability of medicinal plants. Therefore, it is necessary to compile tacit, disseminated and complex knowledge from various Tradi-Practitioners (TP) in order to determine interesting patterns for treating a given disease. Knowledge engineering methods for traditional medicine are useful to model suitably complex information needs, formalize knowledge of domain experts and highlight the effective practices for their integration to conventional medicine. The work described in this paper presents an approach which addresses two issues. First it aims at proposing a formal representation model of ATM knowledge and practices to facilitate their sharing and reusing. Then, it aims at providing a visual reasoning mechanism for selecting best available procedures and medicinal plants to treat diseases. The approach is based on the use of the Delphi method for capturing knowledge from various experts which necessitate reaching a consensus. Conceptual graph formalism is used to model ATM knowledge with visual reasoning capabilities and processes. The nested conceptual graphs are used to visually express the semantic meaning of Computational Tree Logic (CTL) constructs that are useful for formal specification of temporal properties of ATM domain knowledge. Our approach presents the advantage of mitigating knowledge loss with conceptual development assistance to improve the quality of ATM care (medical diagnosis and therapeutics), but also patient safety (drug monitoring)

A canonical theory of dynamic decision-making

Decision-making behavior is studied in many very different fields, from medicine and eco- nomics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptual- ization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering

Knowledge structuring-Knowledge domination. Two interrelated concepts

“Sociology for me is not only about the big institutions, such as governments, organizations, business firms or societies as a whole. It is very much about the individual and our individual experiences. We come to understand ourselves much better through grasping the wider social forces that influence our lives.” ( Anthony Giddens, published at www.polity.co.uk, a leading social science and humanities publisher. ) This quotation helps identify one reason for integrating ideas about knowledge management with concepts from Anthony Giddens structuration theory in the theoretical framework that I use as an analytical tool in this research. Structuration theory concerns itself with the “social forces that influence our lives” and these forces interest me. In the same article Giddens continuous: ”We live in a world of quite dramatic change…There are three major sets of changes happening in contemporary societies and it is the task of sociology to analyze what they mean for our lives today. First there is globalisation….The second big influence is that of technological change. Information technology is altering many of the ways in which we work and in which we live. The nature of the jobs people do, for example, has been transformed….The third fundamental set of changes is in our everyday lives. Our lives are structured less by the past than by our anticipated future”. In this paper I agure that there is a continous structuring going on in society. I therefore concern myself with a pair of twin concepts that are interrelated. The first one is knowledge structuring; the second is knowledge domination. These two concepts are of vital importance when trying to understand, assess and monitor implications of transformations of work processes and tools at work.Knowledge structuring; knowledge domination; knowledge management; structuration theory; cognitive theories; transformations; information technology; globalisation.

A qualitative study of the barriers to incident reporting at the Christie NHS Foundation Trust.

This research is a qualitative study of barriers to incident reporting at The Christie NHS Foundation Trust (The Christie). The conceptual framework was based on models such as the cultural web and Senge (fifth discipline). The E-V-R congruence model formed the basis of the framework and includes identified barriers to incident reporting from the literature review. The following barriers were identified from the literature: a lack of clarity about what to report, lack of anonymity, no feedback, a culture of blame and fear. The research methodology employed a number of different research methods to achieve triangulation and to ensure the reliability and validity of the research. Methodologies included the use of self-completion questionnaires, semi-structured interviews and secondary data taken from the NHS National Staff Survey, 2008. Using the conceptual framework a number of barriers to incident reporting were identified at The Christie. These barriers include: - Staff are too busy to report incidents - A lack of clarity about what to report - Staff find it difficult to report senior members of staff - A lack of feedback - The form takes too long to complete It was also established that there is a 'fair blame' culture at The Christie, and that there is a lack of learning from incidents. The following recommendations were made: - Raise awareness of incident reporting and provide clear guidelines on what constitutes a reportable incident. - Introduce a feedback mechanism that links the original reporter to an incident. - Communicate the changes that result from incidents and improve the communication process across the Trust. - Review the incident report form (IRF) and make it easier to complete. - Introduce a web based incident reporting system. - Introduction of a confidential helpline linked to the Governance team - Develop an incident reporting training packag