{"id":12816,"date":"2023-03-01T00:00:00","date_gmt":"2023-03-01T00:00:00","guid":{"rendered":"https:\/\/essaybishops.com\/strategic-decision-making-in-emergency-critical-care-settings\/"},"modified":"2023-03-01T00:00:00","modified_gmt":"2023-03-01T00:00:00","slug":"strategic-decision-making-in-emergency-critical-care-settings","status":"publish","type":"post","link":"https:\/\/www.colapapers.com\/uk\/strategic-decision-making-in-emergency-critical-care-settings\/","title":{"rendered":"Strategic Decision Making in Emergency Critical Care Settings"},"content":{"rendered":"<p>PowerPoint presentation for advanced clinical decision making. Do my assignment homework help &#8211; powerpoint presentation about ( strategic decision making) about 20 slide<\/p>\n<p>Superior Paper Help &#8211; Outline .<\/p>\n<p>Objectives .<\/p>\n<p>6 lines in each slide .<\/p>\n<p>Title Bold and content size 28 font (font time new roman).<\/p>\n<p>Line spacing 1.5. it should be comprehensive and concise .<br \/>\nWith related figures. Decision Making in<br \/>\nEmergency Critical Care<br \/>\nAn Evidence-Based Handbook.   Shared Decision-Making<br \/>\nin Health Care<br \/>\nAchieving evidence-based<br \/>\npatient choice.  Clinical<br \/>\nReasoning in the<br \/>\nHealth<br \/>\nProfessions.<\/p>\n<p>Strategic Decision Making in Emergency Critical Care Settings<br \/>\nIntroduction<br \/>\nEmergency departments and critical care units face complex patient cases that require timely and effective decision making. Clinicians must weigh various treatment options and potential outcomes under pressure. Strong clinical reasoning skills and consideration of evidence are paramount in such high-stakes environments. This article explores strategic decision making approaches and models that can support optimal patient care in emergency and critical care contexts.<br \/>\nShared Decision Making<\/p>\n<p>A collaborative approach between clinicians and patients known as shared decision making has gained prominence in recent years (Charles, Gafni, &#038; Whelan, 1997). This model recognizes that patients hold valuable insight into their conditions, values, and priorities that should factor into treatment planning. When feasible given the acute nature of emergency presentations, incorporating patient preferences can lead to decisions aligned with individual goals of care (Stacey et al., 2017).<br \/>\nIn shared decision making, the clinician presents treatment options and their potential risks and benefits based on best available evidence. The patient then shares their views, allowing values and context to inform the final choice (Makoul &#038; Clayman, 2006). For emergency cases where patients lack decision-making capacity, involving surrogate decision makers such as family can apply a similar process (White, Braddock, Bereknyei, &#038; Curtin, 2007). Overall, shared decision making has been shown to improve patient satisfaction and engagement when applied judiciously in emergency contexts (Coulter, 2017).<br \/>\nClinical Reasoning Frameworks<br \/>\nVarious clinical reasoning frameworks exist to structure complex decision processes. The analytic model involves systematically gathering and weighing different types of evidence before determining the best course of action (Croskerry, 2009). This approach works well for stable patients where time permits a thorough evaluation. However, the nonlinear nature model may be better suited for emergencies requiring an immediate response (Elstein, 1999).<br \/>\nThe nonlinear model recognizes that intuition and experience often guide preliminary hypotheses which are then explored through further testing and reconsideration if needed (Hughes, 2008). Pattern recognition of clinical signs and symptoms allows for rapid diagnosis and treatment initiation in unstable patients (Groves, O\u2019Rourke, &#038; Alexander, 2003). Periodic review incorporating analytic processes ensures the optimal plan continues to be followed. Overall, both models have merit depending on the acuity and stability of the presenting patient.<br \/>\nClinical Decision Support Tools<br \/>\nTechnology has the potential to enhance clinical reasoning through decision support tools. For example, diagnostic algorithms and clinical prediction rules embedded within electronic health records can suggest likely differential diagnoses and guide initial testing and management (O\u2019Connor et al., 2011). Such tools are particularly useful for less experienced clinicians or those managing infrequent conditions.<br \/>\nArtificial intelligence is another emerging area with applications including imaging analysis to detect abnormalities, natural language processing of presenting complaints, and predictive analytics (Topol, 2019). While not a replacement for clinical judgment, such adjuncts could help synthesize complex patient data and point clinicians towards important factors meriting consideration in decision making. Tools must be rigorously evaluated and integrated carefully into clinical workflows to avoid potential pitfalls (Wright &#038; Sittig, 2015). Overall, technology augments but does not replace core clinical reasoning abilities.<br \/>\nConclusion<\/p>\n<p>Effective decision making underlies quality patient care, especially in emergency and critical care contexts. A strategic approach incorporating shared decision making principles when possible, structured clinical reasoning frameworks, and judicious use of decision support tools can help clinicians optimize complex decisions. Continued focus on evidence-based practice, technology evaluation, and development of clinical reasoning competencies ensures the highest standards of emergency and critical care are maintained.<br \/>\nReferences<br \/>\nCharles, C., Gafni, A., &#038; Whelan, T. (1997). Shared decision-making in the medical encounter: What does it mean? (Or it takes at least two to tango). Social Science &#038; Medicine, 44(5), 681\u2013692. https:\/\/doi.org\/10.1016\/S0277-9536(96)00221-3<br \/>\nCoulter, A. (2017). Engaging patients in healthcare. McGraw-Hill Education.<br \/>\nCroskerry, P. (2009). A universal model of diagnostic reasoning. Academic Medicine, 84(8), 1022\u20131028. https:\/\/doi.org\/10.1097\/ACM.0b013e3181ace703<br \/>\nElstein, A. S. (1999). Heuristics and biases: Selected errors in clinical reasoning. Academic Medicine, 74(7), 791\u2013794. https:\/\/doi.org\/10.1097\/00001888-199907000-00003<br \/>\nGroves, M., O\u2019Rourke, P., &#038; Alexander, H. (2003). Clinical reasoning: The relative contribution of identification, interpretation and hypothesis errors to misdiagnosis. Medical Teacher, 25(6), 621\u2013625. https:\/\/doi.org\/10.1080\/01421590310001603486<br \/>\nHughes, R. G. (2008). Patient safety and quality: An evidence-based handbook for nurses. Patient Safety and Quality: An Evidence-Based Handbook for Nurses. https:\/\/doi.org\/10.1037\/e573972012-001<br \/>\nMakoul, G., &#038; Clayman, M. L. (2006). An integrative model of shared decision making in medical encounters. Patient Education and Counseling, 60(3), 301\u2013312. https:\/\/doi.org\/10.1016\/j.pec.2005.06.010<br \/>\nO\u2019Connor, A. M., Bennett, C. L., Stacey, D., Barry, M., Col, N. F., Eden, K. B., Entwistle, V. A., Fiset, V., Holmes-Rovner, M., Khangura, S., Llewellyn-Thomas, H., &#038; Rovner, D. (2009). Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews, (3). https:\/\/doi.org\/10.1002\/14651858.CD001431.pub2<br \/>\nStacey, D., L\u00e9gar\u00e9, F., Lewis, K., Barry, M. J., Bennett, C. L., Eden, K. B., Holmes-Rovner, M., Llewellyn-Thomas, H., Lyddiatt, A., Thomson, R., &#038; Trevena, L. (2017). Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews, 4, CD001431. https:\/\/doi.org\/10.1002\/14651858.CD001431.pub5<br \/>\nTopol, E. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44\u201356. https:\/\/doi.org\/10.1038\/s41591-018-0300-7<br \/>\nWhite, D. B., Braddock, C. H., Bereknyei, S., &#038; Curtin, C. (2007). Toward shared decision making at the end of life in intensive care units: Opportunities for improvement. Archives of Internal Medicine, 167(5), 461\u2013467. https:\/\/doi.org\/10.1001\/archinte.167.5.461<br \/>\nWright, A., &#038; Sittig, D. F. (2015). A four-phase model of the evolution of clinical decision support architectures. International Page Essay &#8211; Journal of Medical Informatics, 84(10), 841\u2013849. https:\/\/doi.org\/10.1016\/j.ijmedinf.2015.07.012<br \/>\nPowerPoint Presentation on Strategic Decision Making in Emergency Care<br \/>\nSlide 1:<br \/>\nStrategic Decision Making in Emergency Care<br \/>\nSlide 2:<\/p>\n<p>Objectives<br \/>\nExplore approaches to clinical decision making in emergency contexts<br \/>\nDiscuss models for structuring complex decisions<br \/>\nExamine roles of evidence, experience, and technology in reasoning<br \/>\nStrategies for optimizing decision quality under pressure<br \/>\nSlide 3:<br \/>\nShared Decision Making<br \/>\nCollaborative approach between clinicians and patients\/surrogates<br \/>\nIncorporates patient values, context, and preferences when feasible<br \/>\nAligns treatment plans with individual goals of care<br \/>\nImproves satisfaction and engagement if applied judiciously<br \/>\nSlide 4:<br \/>\nClinical Reasoning Frameworks<br \/>\nAnalytic model: systematic gathering and weighing of evidence<br \/>\nNonlinear model: intuition and experience guide preliminary hypotheses<br \/>\nBoth have merit depending on patient acuity and stability<br \/>\nSlide 5:<br \/>\nTechnology Support<br \/>\nDiagnostic algorithms and prediction rules within EHRs<br \/>\nImaging analysis, natural language processing, predictive analytics<br \/>\nAugment but do not replace clinical judgment<br \/>\nMust be rigorously evaluated and carefully integrated<br \/>\nSlide 6:<br \/>\nConclusion<br \/>\nEffective decision making is paramount in emergency care<br \/>\nStrategic approach using multiple models can optimize complex decisions<br \/>\nContinued focus on evidence-based practice and clinical reasoning skills<br \/>\nJudicious technology use has potential to enhance decision processes<br \/>\nIn conclusion, this article and presentation explored strategic approaches to clinical decision making in emergency care contexts. A collaborative shared decision making model, structured clinical reasoning frameworks, and technology-supported tools all have roles to play when optimized decision processes are required under pressure. Continued focus on evidence-based practice, competency development, and rigorous evaluation of adjuncts will help ensure the highest quality of emergency and critical care decisions and outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PowerPoint presentation for advanced clinical decision making. Do my assignment homework help &#8211; powerpoint presentation about ( strategic decision making) about 20 slide Superior Paper\u2026<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5407,5409,5412,5416,5414,5406,5413,5408,5410,5411,5415,5417,5405],"tags":[4975,4969,4974,4967,4973,5048,5050,5049,4868,4970,3285,4968,4976,2436,3325],"class_list":["post-12816","post","type-post","status-publish","format-standard","hentry","category-1-dissertation-help-service-uk","category-bachelor-thesis-writing-service","category-best-dissertation-writers-uk","category-best-dissertation-writing-services-uk","category-british-dissertation-writers","category-cheap-dissertation-help-online","category-dissertation-help-online","category-dissertation-writing-help","category-dissertation-writing-help-uk","category-dissertation-writing-services-uk","category-help-with-dissertation-writing","category-uk-dissertation-help","category-university-dissertation-writing-service","tag-custom-essay","tag-dissertation-ideas","tag-dissertation-topic","tag-essay-topics","tag-free-essays","tag-help-in-assignment","tag-help-with-class","tag-i-need-help","tag-page-paper","tag-research-paper-samples","tag-term-paper","tag-thesis-examples","tag-thesis-writers","tag-write","tag-write-a-paper"],"_links":{"self":[{"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/posts\/12816","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/comments?post=12816"}],"version-history":[{"count":0,"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/posts\/12816\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/media?parent=12816"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/categories?post=12816"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.colapapers.com\/uk\/wp-json\/wp\/v2\/tags?post=12816"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}