No abstract

This paper describes ongoing study that examines problems with existing patient health information sources and investigates an approach for linking (i.e. integrating) data from a patient's medical record(s) with relevant health information on the web. The aim is to provide patients with simplified, customized and controlled access to web information. Data from patient medical records are extracted and linked with relevant health information on the web through a web search service. These are made available to patients through a web portal that we refer to as the patient knowledge base (PatientKB). Our integration approach utilizes term semantics (i.e. meaning) to enrich the web search and simplify medical terms for patients. In the current implementation, patients have guided, secure and relatively customized access to basic and relevant web information on their diagnoses. Future implementation will attempt to achieve further customization, extensibility and safety features. This paper investigates how ideas presented in an earlier study can be implemented.

No abstract

No abstract

Patient information is one aspect of meeting the needs of health service users; it is meant to empower patients and their carers in making informed decisions and managing their health needs. Mary Dixon-Woods described two types of discourse in patient education: the first is more concerned with making patients comply with their doctors orders and the second is about empowering patients and rejecting direction. This article looks at the aims of the two and shows that neither is capable of supporting highly successful best practice within medicine. Instead, a hybrid set of strategic aims are proposed for patient education created by merging the two discourses in the same way that John Dewey merged the child-centred and child-led schools of thought in education. These hybrid strategic aims for patient education are then used to develop requirements for an information system to support patient education, using a mixture of system centric and user centric approaches.

In silico representation of cellular systems needs to represent the adaptive dynamics of biological cells, recognizing a cell's multi-objective topology formed by temporally cohesive intracellular structures. The design of these models needs to address the hierarchical and concurrent nature of cellular functions and incorporate the ability to self-organize in response to transitions between healthy and pathological phases, and adapt accordingly. The functions of biological systems are constantly progressing, due to the ever changing demands of their environment. Biological systems meet these demands by pursuing objectives, aided by their constituents, giving rise to biological functions. A biological cell is organized into an objective/task hierarchy. These objective hierarchy corresponds to the nested nature of temporally cohesive structures and representing them will facilitate in studying pleiotropy and polygeny by modeling causalities propagating across multiple interconnected intracellular processes. Although biological adaptations occur in physiological, developmental and reproductive timescales, the paper is focused on adaptations that occur within physiological timescales, where the biomolecular activities contributing to functional organization, play a key role in cellular physiology. The paper proposes a multi-scale and multi-objective modeling approach from the bottom–up by representing temporally cohesive structures for multi-tasking of intracellular processes. Further the paper characterizes the properties and constraints that are consequential to the adaptive dynamics in biological cells.

No abstract

Healthcare is taking an evolutionary approach towards the adoption of Patient-Centred (PC) delivery approach, which requires the flow of information between different healthcare providers to support a patient's treatment plan, so the Care Team (CT) can seamlessly and securely access relevant information held in the different discrete Legacy Information Systems (LIS). Each of these LIS deploys an organisational-driven information security policy that meets its local information sharing context needs. Nevertheless, incorporating these LIS in collaborative PC care brings multiple inconsistent policies together, which raises a number of information security threats that can block the CT access to critical information across a patient's treatment journey. Using an empirical study, this chapter identifies information security threats that can cause the issue, and defines a common collaboration-driven information security design. Finally, it identifies requirements in LIS to address the inconsistent policies in modern PC collaborative environments that would help improve the quality of care.