1,721,058 research outputs found
Coupling of indigenous-patient-friendly cultural communications with clinical care guidelines for type 2 diabetes mellitus
Full text linkDistance, terrain, climate and inadequate medical resources seriously constrain health care accessibility for rural and remote Indigenous communities of Western Australia (WA). Management of the Type 2 Diabetes Mellitus (T2DM), a chronic condition affecting Indigenous people much more than non-Indigenous, requires a complex assortment of time-sensitive communications activity and interventions to avert serious complications. Communications barriers arising from pervasive cultural misunderstanding in primary care go far beyond language differences and routine translation techniques. Practitioners and patients lacking the capability and capacity to facilitate dialogue for shared meaning in the examination and testing discourse need a culturally sensitive purpose-driven informatics system of support for the Patient-Practitioner Interview Encounter (PPIE). The dominant unidirectional clinician-biased forms of communication employed by healthcare professionals are a major barrier. Our developing communications support model utilizes the mapping of ontologies. The Community Healthcare ontology is dedicated to mapping a clinical taxonomy for T2DM national guidelines to Aboriginal English (AE). The eventual user interface will represent Aboriginal patient-culture-driven access to and use of interactive audio visual media in the primary healthcare setting.This research objective establishes value of and respect for the Aboriginal patient’s dialectal and pragmatic preferences, thereby enabling us to couple these preferences with Australia’s Standard English clinical communications practice in the treatment and care of IndigenousT2DM patients. A critical capability of the eventual application, especially when phrase ontology guidance enters the interface will be the interception of ambiguities and mitigation of misinterpretation risk. The emphasis is concentrated on bi-directional communications assistance that will not only enhance the Aboriginal patient opportunity to contribute to the PPIE, but will reinforce the value of and reciprocal respect for, sound clinical practice
Inducing and storing generalised evidences using semantic web formalisms
No full textOver the course of the last decade, decision support systems have been used to assist clinicians and researchers in expanding the body of knowledge of particular (bio)- medical areas, as well as in diverse decision-making processes (eg., diagnosis, treatment). Creating a decision support model (eg., a rule base) requires a set of well-established medical guidelines built on mature domain knowledge. The absence of such mature domain knowledge has hindered the development of appropriate decision support methods in the skeletal dysplasia domain. In this paper, we make the first step towards providing a solution to this issue by proposing an ontology and associated extraction algorithm that can infer generalized evidences from existing bone dysplasia patient cases. This establishes the foundation for a decision support model based on evidential reasoning, which enables semi-automated diagnosis or key disease feature extraction
Evolving and emerging workforce roles in health information AHIMA/HIMSS Asia Pacific Singapore e-Health Innovations Summit, Workforce Development Workshop
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Radiopharmaceuticals and the PET probe in the detection of ductal carcinoma in situ of the breast
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Health information management 2025. What is required to create a sustainable profession in the face of digital transformation?
No full textThe Health Information Management profession has a long history in Australia dating over 70 years. Traditionally, the profession has been associated with the two functions of paper-based medical records management and clinical coding. Now, a time of digital transformation and ongoing health reform requires the profession to strategically position itself from information technicians to information strategists, and demonstrate its ongoing important contribution to improving patient care and outcomes, and the effective management of health care. The purpose of this report is to identify the major future challenges facing Health Information Management practitioners and academics. Three major questions to be examined are: What are the forecast health reform and technological transformations that will impact on the Health Information Management profession? What are the future responsibilities, skills, and knowledgebase requirements of the Health Information Management profession to contribute to high quality, safe patient care, and efficient organisational functioning? What educational reform is necessary to prepare Health Information Management Practitioners for the future health and human service sectors, and to create sustainable faculties? To examine each of these, an environmental scan of the literature on the future of health care, digital health, and education was undertaken. This environmental scan provides the support for the considerations raised in this report. </p
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