Academic literature on the topic 'Clinical decision making;reasoning;judgement'
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Journal articles on the topic "Clinical decision making;reasoning;judgement"
Ward, Tony. "Method, Judgement, and Clinical Reasoning." Behaviour Change 16, no. 1 (April 1, 1999): 4–9. http://dx.doi.org/10.1375/bech.16.1.4.
Full textGladstone, Nicholas. "Comparative Theories in Clinical Decision Making and their Application to Practice: a Reflective Case Study." British Journal of Anaesthetic and Recovery Nursing 13, no. 3-4 (August 2012): 65–71. http://dx.doi.org/10.1017/s1742645612000435.
Full textSiegert, Richard J. "Some Thoughts About Reasoning in Clinical Neuropsychology." Behaviour Change 16, no. 1 (April 1, 1999): 37–48. http://dx.doi.org/10.1375/bech.16.1.37.
Full textAmeen, Saleem, Ming-Chao Wong, Kwang-Chien Yee, and Paul Turner. "AI and Clinical Decision Making: The Limitations and Risks of Computational Reductionism in Bowel Cancer Screening." Applied Sciences 12, no. 7 (March 25, 2022): 3341. http://dx.doi.org/10.3390/app12073341.
Full textHahn, Sukwon, and Young Mi Ryu. "Trends in research on clinical reasoning in nursing over the past 20 years: a bibliometric analysis." Science Editing 9, no. 2 (August 19, 2022): 112–19. http://dx.doi.org/10.6087/kcse.276.
Full textBesa, Chola, G. Chongo, and N. Cooper. "Cognitive Autopsy of a Fatal Diagnostic Error." Medical Journal of Zambia 46, no. 4 (December 31, 2019): 357–61. http://dx.doi.org/10.55320/mjz.46.4.609.
Full textOliva, Antonio, Simone Grassi, Massimo Zedda, Marco Molinari, and Stefano Ferracuti. "Forensic Value of Genetic Variants Associated with Anti-Social Behavior." Diagnostics 11, no. 12 (December 17, 2021): 2386. http://dx.doi.org/10.3390/diagnostics11122386.
Full textDowie, Jack. "The ‘Number Needed to Treat’ and the ‘Adjusted NNT’ in Health Care Decision-Making." Journal of Health Services Research & Policy 3, no. 1 (January 1998): 44–49. http://dx.doi.org/10.1177/135581969800300110.
Full textSilvério Rodrigues, David, Paulo Faria Sousa, Nuno Basílio, Ana Antunes, Maria da Luz Antunes, Maria Isabel Santos, and Bruno Heleno. "Primary care physicians’ decision-making processes in the context of multimorbidity: protocol of a systematic review and thematic synthesis of qualitative research." BMJ Open 9, no. 4 (April 2019): e023832. http://dx.doi.org/10.1136/bmjopen-2018-023832.
Full textOwen, Gareth S., George Szmukler, Genevra Richardson, Anthony S. David, Vanessa Raymont, Fabian Freyenhagen, Wayne Martin, and Matthew Hotopf. "Decision-making capacity for treatment in psychiatric and medical in-patients: Cross-sectional, comparative study." British Journal of Psychiatry 203, no. 6 (December 2013): 461–67. http://dx.doi.org/10.1192/bjp.bp.112.123976.
Full textDissertations / Theses on the topic "Clinical decision making;reasoning;judgement"
Baker, Jacqueline Deborah. "Nurses' Perceptions of Clinical Decision Making in relation to Patients in Pain." University of Sydney. Family and Community Nursing, 2001. http://hdl.handle.net/2123/489.
Full textHarries, Priscilla Ann. "Occupational therapists' judgement of referral priorities : expertise and training." Thesis, Brunel University, 2004. http://bura.brunel.ac.uk/handle/2438/3110.
Full textSmith, Julie MacAulay. "The transition from Final Year Medical Student to Foundation Doctor : the clinical reasoning journey." Thesis, University of Dundee, 2015. https://discovery.dundee.ac.uk/en/studentTheses/ec05577b-d97e-45a2-b0fe-010fc5dd0835.
Full textEiman, Johansson Maria. "Sjuksköterskors kliniska beslutsfattande med fokus på perifera venkatetrar (PVK)." Licentiate thesis, Malmö högskola, Institutionen för vårdvetenskap (VV), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-7380.
Full textEvery working shift nurses make several decisions, including decisions about management of peripheral venous catheters (PVC). Peripheral catheterisation is a common procedure, which affects numerous patients in health care today. PVC are for example used for intravenous infusions with antibiotics, nutrients and blood components. Having PVC in situ may lead to complications such as thrombophlebitis. Clinical guidelines have been developed within the area to assist nurses in their decision-making, but clinical guidelines are not always adhered to. There are several reasons why clinicians do not always adhere to clinical guidelines, although such adherence may lead to fewer complications. Choices for decisions regarding PVC management have been investigated in previous studies, but not in a naturalistic setting. The overall aim of this licentiate thesis was to describe nurses’ clinical decision-making through focusing on their adherence to clinical guidelines and their clinical reasoning concerning decisions of PVC. Two studies have been conducted and data were collected during a six-month period, from December 2004 to June 2005. Study I investigated nurses’ adherence to national and local PVC guidelines by focusing on time in situ, site, size and documentation at the dressing. The thrombophlebitis frequency associated with PVC in situ was also investigated. Structured observations through two protocols were carried out and data about 343 PVC were analysed. Study II investigated nurses’ clinical reasoning regarding PVC management and cues and factors of importance in the decision10 making process were analysed. Nurses were observed in their daily work with focus on PVC management. They were interviewed both about the PVC decisions made in the observed situations and about factors influencing their reasoning regarding PVC management in general. The observations facilitated the interviews. Transcribed interview texts were analysed with content analysis. The results in study I showed that thrombophlebitis frequency was 7.0% and the nurses seemed to replace or remove PVC before any severe complications arose in accordance with clinical guidelines. Nurses partly adhered to national and local guidelines concerning site, size, documentation at the dressing and time in situ. Differences in guideline adherence were observed for wards with local or national guidelines, as well as for wards with different specialities. The results indicate that local guidelines may have an impact on guideline adherence but these results need further exploration. Analysis of interview texts in study II resulted in a category system with three main categories describing cues and factors of importance in the nurses’ clinical reasoning about PVC: the individual patient situation, the nurse’s work situation, and experience of PVC management. An overall theme was also revealed in the interview texts and the nurses balance in their clinical reasoning between avoiding or minimizing discomfort and pain for the patient and preventing complications from the PVC. The results from this licentiate thesis have implications for the education of nurses as well as during implementation of clinical guidelines.
Cohen, Andrea. "A study of decision-making about risk of violence in mentally disordered offenders." Thesis, Open University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369030.
Full textLoftus, Stephen Francis. "Language in clinical reasoning learning and using the language of collective clinical decision making /." Faculty of Health Sciences, School of Physiotherapy, University of Sydney, 2006. http://hdl.handle.net/2123/1165.
Full textThe aim of the research presented in this thesis was to come to a deeper understanding of clinical decision making from within the interpretive paradigm. The project draws on ideas from a number of schools of thought which have the common emphasis that the interpretive use of language is at the core of all human activity. This research project studied settings where health professionals and medical students engage in clinical decision making in groups. Settings included medical students participating in problem-based learning tutorials and a team of health professionals working in a multidisciplinary clinic. An underlying assumption of this project was that in such group settings, where health professionals are required to articulate their clinical reasoning for each other, the individuals involved are likely to have insights that could reveal the nature of clinical decision making. Another important assumption of this research is that human activities, such as clinical reasoning, take place in cultural contexts, are mediated by language and other symbol systems, and can be best understood when investigated in their historical development. Data were gathered by interviews of medical students and health professionals working in the two settings, and by non-participant observation. Data analysis and interpretation revealed that clinical decision making is primarily a social and linguistic skill, acquired by participating in communities of practice called health professions. These communities of practice have their own subculture including the language game called clinical decision making which includes an interpretive repertoire of specific language tools and skills. New participants to the profession must come to embody these skills under the guidance of more capable members of the profession, and do so by working through many cases. The interpretive repertoire that health professionals need to master includes skills with words, categories, metaphors, heuristics, narratives, rituals, rhetoric, and hermeneutics. All these skills need to be coordinated, both in constructing a diagnosis and management plan and in communicating clinical decisions to other people, in a manner that can be judged as intelligible, legitimate, persuasive, and carrying the moral authority for subsequent action.
Agustsson, Hilmir. "Diagnostic Musculoskeletal Imaging: How Physical Therapists Utilize Imaging in Clinical Decision-Making." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/hpd_pt_stuetd/72.
Full textWolf, Lisa Adams. "Testing and refinement of an integrated, ethically-driven environmental model of clinical decision-making in emergency settings." Thesis, Boston College, 2011. http://hdl.handle.net/2345/2224.
Full textThesis advisor: Pamela J. Grace
The purpose of the study was to explore the relationship between multiple variables within a model of critical thinking and moral reasoning that support and refine the elements that significantly correlate with accuracy and clinical decision-making. Background: Research to date has identified multiple factors that are integral to clinical decision-making. The interplay among suggested elements within the decision making process particular to the nurse, the patient, and the environment remain unknown. Determining the clinical usefulness and predictive capacity of an integrated ethically driven environmental model of decision making (IEDEM-CD) in emergency settings in facilitating accuracy in problem identification is critical to initial interventions and safe, cost effective, quality patient care outcomes. Extending the literature of accuracy and clinical decision making can inform utilization, determination of staffing ratios, and the development of evidence driven care models. Methodology: The study used a quantitative descriptive correlational design to examine the relationships between multiple variables within the IEDEM-CD model. A purposive sample of emergency nurses was recruited to participate in the study resulting in a sample size of 200, calculated to yield a power of 0.80, significance of .05, and a moderate effect size. The dependent variable, accuracy in clinical decision-making, was measured by scores on clinical vignettes. The independent variables of moral reasoning, perceived environment of care, age, gender, certification in emergency nursing, educational level, and years of experience in emergency nursing, were measures by the Defining Issues Test, version 2, the Revised Professional Practice Environment scale, and a demographic survey. These instruments were identified to test and refine the elements within the IEDEM-CD model. Data collection occurred via internet survey over a one month period. Rest's Defining Issues Test, version 2 (DIT-2), the Revised Professional Practice Environment tool (RPPE), clinical vignettes as well as a demographic survey were made available as an internet survey package using Qualtrics TM. Data from each participant was scored and entered into a PASW database. The analysis plan included bivariate correlation analysis using Pearson's product-moment correlation coefficients followed by chi square and multiple linear regression analysis. Findings: The elements as identified in the IEDEM-CD model supported moral reasoning and environment of care as factors significantly affecting accuracy in decision-making. Findings reported that in complex clinical situations, higher levels of moral reasoning significantly affected accuracy in problem identification. Attributes of the environment of care including teamwork, communication about patients, and control over practice also significantly affected nurses' critical cue recognition and selection of appropriate interventions. Study results supported the conceptualization of the IEDEM-CD model and its usefulness as a framework for predicting clinical decision making accuracy for emergency nurses in practice, with further implications in education, research and policy
Thesis (PhD) — Boston College, 2011
Submitted to: Boston College. Connell School of Nursing
Discipline: Nursing
Shaban, Ramon Zenel. "Paramedic Clinical Judgement and Decision-Making of Mental Illness in the Pre-Hospital Emergency Care Setting: A Case Study of Accounts of Practice." Thesis, Griffith University, 2011. http://hdl.handle.net/10072/365994.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Education and Professional Studies
Arts, Education and Law
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Gosnell, Susan. "Teaching and Assessing Critical Thinking in Radiologic Technology Students." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3594.
Full textEd.D.
Department of Educational and Human Sciences
Education
Education EdD
Books on the topic "Clinical decision making;reasoning;judgement"
C, Turk Dennis, and Salovey Peter, eds. Reasoning, inference, and judgment in clinical psychology. New York: Free Press, 1988.
Find full textB, Wong John, and Kopelman Richard I, eds. Learning clinical reasoning. 2nd ed. Philadelphia: Wolters Kluwer Lippincott Williams & Wilkins Health, 2010.
Find full textI, Kopelman Richard, ed. Learning clinical reasoning. Baltimore: Williams & Wilkins, 1991.
Find full text1939-, Munson Ronald, and Resnik Michael D, eds. Reasoning in medicine: An introduction to clinical inference. Baltimore: Johns Hopkins University Press, 1988.
Find full textMontgomery, Kathryn. How doctors think: Clinical judgement and the practice of medicine. New York, NY: Oxford University Press, 2005.
Find full textMontgomery, Kathryn. How doctors think: Clinical judgement and the practice of medicine. New York: Oxford University Press, 2005.
Find full textRichard, Paul, and Elder Linda, eds. The thinker's guide to clinical reasoning. Dillon, California: Foundation for Critical Thinking, 2010.
Find full textBenamy, Barbara Cortellini. Developing clinical reasoning skills: Strategies for the occupational therapist. San Antonio: Therapy Skill Builders, 1996.
Find full textBenamy, Barbara Cortellini. Developing clinical reasoning skills: Strategies for the occupational therapist. San Antonio: Therapy Skill Builders, 1996.
Find full textCritical thinking, clinical reasoning, and clinical judgment: A practical approach. 5th ed. St. Louis, MO: Saunders/Elsevier, 2013.
Find full textBook chapters on the topic "Clinical decision making;reasoning;judgement"
Degoulet, Patrice, and Marius Fieschi. "Medical Reasoning and Decision-Making." In Introduction to Clinical Informatics, 49–64. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0675-0_4.
Full textOwens, Douglas K., and Harold C. Sox. "Biomedical Decision Making: Probabilistic Clinical Reasoning." In Biomedical Informatics, 67–107. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_3.
Full textOwens, Douglas K., and Harold C. Sox. "Biomedical Decision Making: Probabilistic Clinical Reasoning." In Health Informatics, 80–132. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_3.
Full textOwens, Douglas K., Jeremy D. Goldhaber-Fiebert, and Harold C. Sox. "Biomedical Decision Making: Probabilistic Clinical Reasoning." In Biomedical Informatics, 77–120. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58721-5_3.
Full textSheppard, Michael. "Judgement and decision making: practical reasoning, process knowledge and critical thinking." In Social Work and Social Exclusion, 197–217. London: Routledge, 2021. http://dx.doi.org/10.4324/9781315242859-12.
Full textLi, Qingshan, Jing Feng, Lu Wang, Hua Chu, and WeiJuan Fu. "Knowledge Reasoning Model to Support Clinical Decision Making." In Information Technology in Bio- and Medical Informatics, 75–78. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10265-8_6.
Full textFuentes Herrera, Ivett E., Beatriz Valdés Pérez, María M. García Lorenzo, Leticia Arco García, Mabel M. Herrera González, and Rolando de la C. Fuentes Morales. "A Case-Based Reasoning Framework for Clinical Decision Making." In Advances in Soft Computing, 290–301. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02837-4_24.
Full textNoll, Richard, Jannik Schaaf, and Holger Storf. "The Use of Computer-Assisted Case-Based Reasoning to Support Clinical Decision-Making – A Scoping Review." In Case-Based Reasoning Research and Development, 395–409. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14923-8_26.
Full textBanzi, Annalisa. "Problem Solving, Decision-Making, Judgement, Reasoning, and Creativity: The Role of Museums in the Visitors' Cognitive Growth." In The Brain-Friendly Museum, 68–82. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003304531-6.
Full textKoivisto, Jaana-Maija, Sara Havola, Henna Mäkinen, and Elina Haavisto. "Learning Clinical Reasoning Through Gaming in Nursing Education: Future Scenarios of Game Metrics and Artificial Intelligence." In AI in Learning: Designing the Future, 159–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09687-7_10.
Full textConference papers on the topic "Clinical decision making;reasoning;judgement"
Narasimhan, Lakshmi, Di Wu, and Narinder Gill. "Meta-Analysis of Clinical Cardiovascular Data towards Evidential Reasoning for Cardiovascular Life Cycle Management." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3147.
Full textMolinet, Benjamin, Santiago Marro, Elena Cabrio, Serena Villata, and Tobias Mayer. "ACTA 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Clinical Trials." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/859.
Full textReports on the topic "Clinical decision making;reasoning;judgement"
Zachry, Anne, J. Flick, and S. Lancaster. Tune Up Your Teaching Toolbox! University of Tennessee Health Science Center, 2016. http://dx.doi.org/10.21007/chp.ot.fp.2016.0001.
Full textNewman-Toker, David E., Susan M. Peterson, Shervin Badihian, Ahmed Hassoon, Najlla Nassery, Donna Parizadeh, Lisa M. Wilson, et al. Diagnostic Errors in the Emergency Department: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), December 2022. http://dx.doi.org/10.23970/ahrqepccer258.
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