Academic literature on the topic 'Allied health personnel ; Clinical decision support'

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Journal articles on the topic "Allied health personnel ; Clinical decision support"

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Mickan, Sharon, Jessica Dawber, and Julie Hulcombe. "Realist evaluation of allied health management in Queensland: what works, in which contexts and why." Australian Health Review 43, no. 4 (2019): 466. http://dx.doi.org/10.1071/ah17265.

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Objective Allied health structures and leadership positions vary throughout Australia and New Zealand in their design and implementation. It is not clear which organisational factors support allied health leaders and professionals to enhance clinical outcomes. The aim of this project was to identify key organisational contexts and corresponding mechanisms that influenced effective outcomes for allied health professionals. Methods A qualitative realist evaluation was chosen to describe key aspects of allied health organisational structures, identify positive outcomes and describe how context an
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Grunow, Martin, Hans-Otto G�nther, and Gang Yang. "Development of a Decision Support Model for Scheduling Clinical Studies and Assigning Medical Personnel." Health Care Management Science 7, no. 4 (2004): 305–17. http://dx.doi.org/10.1007/s10729-004-7539-x.

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May, Kerry, Fiona McAlinden, Michael Splawa-Neyman, Michelle O'Rourke, and Tamica Sturgess. "Flexible, Capable, Adaptable: A Dynamic Allied Health Workforce." Asia Pacific Journal of Health Management 12, no. 1 (2017): 25–35. http://dx.doi.org/10.24083/apjhm.v12i1.93.

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Objective: The Allied Health Executive at a major Metropolitan Health Service was experiencing an increasing number of flexible work requests and was keen to ensure that local and legislative requirements were met, our highly skilled and specialist staff were supported to remain in the workforce as their life outside work changed and the operational demands of a bed-based service delivery model were not negatively impacted.
 Design: A root cause analysis was completed identifying three main contributing factors for the current, adhoc approach to flexible work requests. Current and past fl
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Donsa, K., J. Plank, L. Schaupp, et al. "A toolbox to improve algorithms for insulin-dosing decision support." Applied Clinical Informatics 05, no. 02 (2014): 548–56. http://dx.doi.org/10.4338/aci-2014-04-ra-0033.

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Summary Background: Standardized insulin order sets for subcutaneous basal-bolus insulin therapy are recommended by clinical guidelines for the inpatient management of diabetes. The algorithm based GlucoTab system electronically assists health care personnel by supporting clinical workflow and providing insulin-dose suggestions. Objective: To develop a toolbox for improving clinical decision-support algorithms. Methods: The toolbox has three main components. 1) Data preparation: Data from several heterogeneous sources is extracted, cleaned and stored in a uniform data format. 2) Simulation: Th
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Lizarondo, Lucylynn, Catherine Turnbull, Tracey Kroon, et al. "Allied health: integral to transforming health." Australian Health Review 40, no. 2 (2016): 194. http://dx.doi.org/10.1071/ah15044.

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Objective South Australia is taking an innovative step in transforming the way its healthcare is organised and delivered to better manage current and future demands on the health system. In an environment of transforming health services, there are clear opportunities for allied health to assist in determining solutions to various healthcare challenges. A recent opinion piece proposed 10 clinician-driven strategies to assist in maximising value and sustainability of healthcare in Australia. The present study aimed to seek the perspectives of allied health clinicians, educators, researchers, pol
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Williams, Cylie, Koki Miyazaki, Donna Borkowski, Carol McKinstry, Matthew Cotchet, and Terry Haines. "Research capacity and culture of the Victorian public health allied health workforce is influenced by key research support staff and location." Australian Health Review 39, no. 3 (2015): 303. http://dx.doi.org/10.1071/ah14209.

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Objective The aim of the present study was to identify and understand the self-rated research capacity and culture of the allied health workforce. Methods The present study was a cross-sectional survey. The Research Capacity and Culture tool was disseminated to all Victorian public health allied health departments. General demographic data were also collected, including the presence of an organisational allied health research lead. Results Five hundred and twenty fully completed surveys were returned by participants; all allied health disciplines and all grades were represented. One hundred an
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Ehnfors, M., A. Fruhling, A. Ehrenberg, and M. Fossum. "An Evaluation of the Usability of a Computerized Decision Support System for Nursing Homes." Applied Clinical Informatics 02, no. 04 (2011): 420–36. http://dx.doi.org/10.4338/aci-2011-07-ra-0043.

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SummaryBackground: Computerized decision support systems (CDSSs) have the potential to significantly improve the quality of nursing care of older people by enhancing the decision making of nursing personnel. Despite this potential, health care organizations have been slow to incorporate CDSSs into nursing home practices.Objective: This study describes facilitators and barriers that impact the ability of nursing personnel to effectively use a clinical CDSS for planning and treating pressure ulcers (PUs) and malnutrition and for following the suggested risk assessment guidelines for the care of
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Kazemzadeh, Reza S., Kamran Sartipi, and Priya Jayaratna. "A Framework for Data and Mined Knowledge Interoperability in Clinical Decision Support Systems." International Journal of Healthcare Information Systems and Informatics 5, no. 1 (2010): 37–60. http://dx.doi.org/10.4018/jhisi.2010110303.

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Due to reliance on human knowledge, the practice of medicine is subject to errors that endanger patients’ health and cause substantial financial loss to healthcare institutions. Computer-based decision support systems assist healthcare personnel to improve quality of clinical practice. Currently, most clinical guideline modeling languages represent decision-making knowledge in terms of basic logical expressions. In this paper, we focus on encoding, sharing, and using results of data mining analyses to influence decision making within Clinical Decision Support Systems. A knowledge management fr
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McParland, Christopher R., Mark A. Cooper, and Bridget Johnston. "Differential Diagnosis Decision Support Systems in Primary and Out-of-Hours Care: A Qualitative Analysis of the Needs of Key Stakeholders in Scotland." Journal of Primary Care & Community Health 10 (January 2019): 215013271982931. http://dx.doi.org/10.1177/2150132719829315.

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Background: Differential Diagnosis Decision Support Systems (DDDSS) and other forms of clinical decision support systems may have a role in supporting clinicians and the public in making decisions about differential diagnosis and accessing health care services. The aim of this qualitative, focus group study was to explore the needs of out-of-hours and primary care clinicians, and members of the public in relation to DDDSS. Methods: Twenty-nine participants (comprising 13 advanced nurse practitioners [ANPs], 7 general practitioners [GPs], 2 allied health professional advanced practitioners [AAP
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Quimbaya, Alexandra Pomares, Rafael A. González, Wilson Ricardo Bohórquez, Oscar Muñoz, Olga Milena García, and Dario Londoño. "A Systemic, Participative Design of Decision Support Services for Clinical Research." International Journal of Information Technologies and Systems Approach 7, no. 2 (2014): 20–40. http://dx.doi.org/10.4018/ijitsa.2014070102.

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Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering
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Dissertations / Theses on the topic "Allied health personnel ; Clinical decision support"

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Wells, Bridget. "Implementation of computerised clinical decision support (CCDS) in a prehospital setting : processes of adoption and impact on paramedic role and practice." Thesis, Swansea University, 2013. https://cronfa.swan.ac.uk/Record/cronfa43112.

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Aim: To examine the adoption of CCDS by paramedics, including the impact of CCDS on paramedic role and practice. Methods: Systematic review of CCDS in emergency care followed by a cluster-randomised controlled trial (C-RCT) of CCDS with a qualitative component involving 42 paramedics at two study sites. Results: 19/20 studies identified for inclusion in the systematic review were from the Emergency Department setting, with no studies from prehospital care. The focus of the studies was on process of care (19/20) rather than patient outcomes (5/20). Positive impacts were reported in 15/19 (79%)
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Books on the topic "Allied health personnel ; Clinical decision support"

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Christina, McVey, ed. Clinical decision making for the physical therapist assistant. Jones and Bartlett Publishers, 2011.

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Skinner, Steven B. Clinical decision making for the physical therapist assistant. Jones and Bartlett Publishers, 2011.

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Roger, Herdman, and Institute of Medicine (U.S.). Division of Health Care Services., eds. Non-heart-beating organ transplantation: Medical and ethical issues in procurement. National Academy Press, 1997.

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Clinical decision making for the physical therapist assistant: Across the continuum of care. F.A. Davis Co., 2013.

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(Editor), Katharina Kaiser, Silvia Miksch (Editor), W. Tu Samson (Editor), and Samson W. Tu (Editor), eds. Computer-Based Support for Clinical Guidelines and Protocols: Proceedings of the Symposium on Computerized Guidelines and Protocols (CGP 2004) (Studies in Health Technology and Informatics). IOS Press, 2004.

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Book chapters on the topic "Allied health personnel ; Clinical decision support"

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Quimbaya, Alexandra Pomares, Rafael A. González, Wilson Ricardo Bohórquez, Oscar Muñoz, Olga Milena García, and Dario Londoño. "A Systemic, Participative Design of Decision Support Services for Clinical Research." In E-Health and Telemedicine. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8756-1.ch019.

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Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.
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Kazemzadeh, Reza S., Kamran Sartipi, and Priya Jayaratna. "A Framework for Data and Mined Knowledge Interoperability in Clinical Decision Support Systems." In Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1755-1.ch006.

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Due to reliance on human knowledge, the practice of medicine is subject to errors that endanger patients’ health and cause substantial financial loss to healthcare institutions. Computer-based decision support systems assist healthcare personnel to improve quality of clinical practice. Currently, most clinical guideline modeling languages represent decision-making knowledge in terms of basic logical expressions. In this paper, we focus on encoding, sharing, and using results of data mining analyses to influence decision making within Clinical Decision Support Systems. A knowledge management framework is proposed that addresses the issues of data and knowledge interoperability by adopting healthcare and data mining modeling standards. In a further step, data mining results are incorporated into a guideline-based decision support system. A prototype tool has been developed to provide an environment for clinical guideline authoring and execution. Also, three real world case studies have been presented, one of which is used as a running example throughout the paper.
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Weaver, Paul, Douglas J. Dickey, Karl E. Misulis, and Mark E. Frisse. "Clinician Interface and Experience." In Essentials of Clinical Informatics, edited by Mark E. Frisse and Karl E. Misulis. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190855574.003.0014.

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Clinical applications are evolving from purely transactional systems to systems more capable of providing cognitive support; particularly in the area of decision support, user-centered design and iterative development approaches are leading to improvements. But, at the same time, growing administrative and quality reporting requirements are providing new burdens on clinician time and threaten the clinician-patient experience. Efficiency, usability, and effective workflow integration remain primary concerns. The focus in this chapter is on the user experience, how the electronic health record vendors are working with users and experts to improve this experience. Among the enlisted personnel are not only software and hardware engineers, but also psychologists, physiologists, cognitive neuroscientists, data scientists, stakeholders, and users.
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Daramola, Olawande, and Thomas Moser. "Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases." In Advanced Concepts, Methods, and Applications in Semantic Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6697-8.ch012.

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Resource-limited settings (RLS) are characterised by lack of access to adequate resources such as ICT infrastructure, qualified medical personnel, healthcare facilities, and affordable healthcare for common people. The potential for the application of AI and clinical decision support systems in RLS are limited due to these challenges. Towards the improvement of the status quo, this chapter presents the conceptual design of a framework for the semantic integration of health data from multiple sources to facilitate decision support for the diagnosis and treatment of gait-related diseases in RLS. The authors describe how the framework can leverage ontologies and knowledge graphs for semantic data integration to achieve this. The plausibility of the proposed framework and the general imperatives for its practical realisation are also presented.
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