publication . Article . Part of book or chapter of book . Conference object . Other literature type . Book . Master thesis . 2003

Risk Assessment

Tools, Techniques, and Their Applications
Olshan, A. F.; Kimmel, G.; Donald Mattison;
  • Published: 01 Jan 2003
Abstract
<jats:p>Probabilistic or quantitative risk assessment (QRA) aims to identify, estimate and evaluate a variety of threats to human health and safety. These threats arise primarily from particular technologies (such as commercial nuclear fission) or from environmental impacts (such as deforestation). Defined in terms of the probability that some consequence will occur, ‘risk’ typically is expressed as the average annual probability of fatality that a particular activity imposes on one individual. For example, because of normal lifetime exposure to dichloromethane (DCM), a multipurpose solvent, the average member of the public has an annual probability of dying fro...
Subjects
free text keywords: finanční analýza; rating; pohledávky; financial analysis; Profit and Loss statement; risk; receivables; výkaz zisku a ztráty; Balance Sheet; loan; secure credit; Risk assessment; kategorie rizika; riziko; úvěr; risk category; rozvaha; zajištění úvěru, Clean cost assessment, Geographical information systems, Kriging, Risk analysis, Spatial interpolation, Uncertainty, Management Information Systems, Computer Science(all), Pathology and Forensic Medicine, Dermatology, Multidisciplinary, Insect Science, Health, Toxicology and Mutagenesis, Pharmacology (medical), General Medicine, Food Science, Industrial and Manufacturing Engineering, General Chemistry, Education, Psychiatry and Mental health, Toxicology, General Computer Science, Law, Development, Business and International Management, Sociology and Political Science, Physical Therapy, Sports Therapy and Rehabilitation, Accounting, Economics, Econometrics and Finance (miscellaneous), Computer Networks and Communications, Software, Safety, Risk, Reliability and Quality, Cell Biology, Molecular Biology, General Engineering, General Physics and Astronomy, Electrical and Electronic Engineering, jel:R0, Preoperative Evaluation (BJ Sweitzer, Section Editor), Preoperative evaluation, Preoperative risk assessment, Prehabilitation, Surgical risk assessment, Research Article, 111202 Cancer Diagnosis
85 references, page 1 of 6

Wong, J, Lam, DP, Abrishami, A, Chan, MT, Chung, F. Short-term preoperative smoking cessation and postoperative complications: a systematic review and meta-analysis. Can J Anesth. 2012; 59 (3): 268-279 [OpenAIRE] [PubMed] [DOI]

Mayo, NE, Feldman, L, Scott, S, Zavorsky, G, Kim, DJ, Charlebois, P, Stein, B, Carli, F. Impact of preoperative change in physical function on postoperative recovery: argument supporting prehabilitation for colorectal surgery. Surgery. 2011; 150 (3): 505-514 [OpenAIRE] [PubMed] [DOI]

Carlisle, JB. Assessing fitness, predicting outcome, and the missing axis. Br J Anaesth. 2012; 109 (1): 35-39 [OpenAIRE] [PubMed] [DOI]

Peden, CJ, Grocott, MPW. National Research Strategies: what outcomes are important in peri-operative elderly care?. Anaesthesia. 2014; 69: 61-69 [OpenAIRE] [PubMed] [DOI]

Shulman, M, Myles, P. Measuring perioperative outcome. Curr Opin Anaesthesiol. 2016; 29 (6): 733-738 [PubMed] [DOI]

Moonesinghe, SR, Mythen, MG, Das, P, Rowan, KM, Grocott, MP. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery. Qualitative systematic review. Anaesthesiology. 2013; 119: 958-981 [OpenAIRE] [DOI]

Oliver, CM, Walker, E, Giannaris, S, Grocott, MPW, Moonesinghe, SR. Risk assessment tools validated for patients undergoing emergency laparotomy: a systematic review. Br J Anaesth. 2015; 115 (6): 849-860 [OpenAIRE] [PubMed] [DOI]

Koo, CY, Hyder, JA, Wanderer, JP, Eikermann, M, Ramachandran, SK. A meta-analysis of the predictive accuracy of postoperative mortality using the American Society of Anesthesiologists’ physical status classification system. World J Surg. 2015; 39 (1): 88-103 [OpenAIRE] [PubMed] [DOI]

Fleisher, LA, Fleischmann, KE, Auerbach, AD, Barnason, SA, Beckman, JA, Bozkurt, B, Davila-Roman, VG, Gerhard-Herman, MD, Holly, TA, Kane, GC, Marine, JE, Nelson, MT, Spencer, CC, Thompson, A, Ting, HH, Uretsky, BF, Wijeysundera, DN. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery. J Am Coll Cardiol. 2014; 64 (22): 2373-2405 [OpenAIRE] [DOI]

Lee, TH, Marcantonio, ER, Mangione, CM, Thomas, EJ, Polanczyk, CA, Cook, EF, Sugarbaker, DJ, Donaldson, MC, PossR, HKKL, Ludwig, LE, Pedan, A, Goldman, L. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999; 100 (10): 1043-1049 [OpenAIRE] [PubMed] [DOI]

Turrentine, FE, Wang, H, Simpson, VB, Jones, RS. Surgical risk factors, morbidity, and mortality in elderly patients. J Am Coll Surg U S. 2006; 203 (6): 865-877 [OpenAIRE] [DOI]

Protopapa, KL, Simpson, JC, Smith, NCE, Moonesinghe, SR. Development and validation of the surgical outcome risk tool (SORT). Br J Surg. 2014; 101 (13): 1774-1783 [OpenAIRE] [PubMed] [DOI]

Haynes, AB, Regenbogen, SE, Weiser, TG, Lipsitz, SR, Dziekan, G, Berry, WR, Gawande, AA. Surgical outcome measurement for a global patient population: validation of the Surgical Apgar Score in 8 countries. Surgery. 2011; 149 (4): 519-524 [OpenAIRE] [PubMed] [DOI]

Moonesinghe, SR, Mythen, MG, Das, P, Rowan, KM, Grocott, MP. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery. Qualitative systematic review. Anaeshtesiology. 2013; 119: 958-981 [OpenAIRE]

Story, DA, Fink, M, Leslie, K, Myles, PS, Yap, SJ, Beavis, V. Perioperative mortality risk score using pre- and postoperative risk factors in older patients. Anaesth Intensive Care Aust. 2009; 37: 392-398

85 references, page 1 of 6
Abstract
<jats:p>Probabilistic or quantitative risk assessment (QRA) aims to identify, estimate and evaluate a variety of threats to human health and safety. These threats arise primarily from particular technologies (such as commercial nuclear fission) or from environmental impacts (such as deforestation). Defined in terms of the probability that some consequence will occur, ‘risk’ typically is expressed as the average annual probability of fatality that a particular activity imposes on one individual. For example, because of normal lifetime exposure to dichloromethane (DCM), a multipurpose solvent, the average member of the public has an annual probability of dying fro...
Subjects
free text keywords: finanční analýza; rating; pohledávky; financial analysis; Profit and Loss statement; risk; receivables; výkaz zisku a ztráty; Balance Sheet; loan; secure credit; Risk assessment; kategorie rizika; riziko; úvěr; risk category; rozvaha; zajištění úvěru, Clean cost assessment, Geographical information systems, Kriging, Risk analysis, Spatial interpolation, Uncertainty, Management Information Systems, Computer Science(all), Pathology and Forensic Medicine, Dermatology, Multidisciplinary, Insect Science, Health, Toxicology and Mutagenesis, Pharmacology (medical), General Medicine, Food Science, Industrial and Manufacturing Engineering, General Chemistry, Education, Psychiatry and Mental health, Toxicology, General Computer Science, Law, Development, Business and International Management, Sociology and Political Science, Physical Therapy, Sports Therapy and Rehabilitation, Accounting, Economics, Econometrics and Finance (miscellaneous), Computer Networks and Communications, Software, Safety, Risk, Reliability and Quality, Cell Biology, Molecular Biology, General Engineering, General Physics and Astronomy, Electrical and Electronic Engineering, jel:R0, Preoperative Evaluation (BJ Sweitzer, Section Editor), Preoperative evaluation, Preoperative risk assessment, Prehabilitation, Surgical risk assessment, Research Article, 111202 Cancer Diagnosis
85 references, page 1 of 6

Wong, J, Lam, DP, Abrishami, A, Chan, MT, Chung, F. Short-term preoperative smoking cessation and postoperative complications: a systematic review and meta-analysis. Can J Anesth. 2012; 59 (3): 268-279 [OpenAIRE] [PubMed] [DOI]

Mayo, NE, Feldman, L, Scott, S, Zavorsky, G, Kim, DJ, Charlebois, P, Stein, B, Carli, F. Impact of preoperative change in physical function on postoperative recovery: argument supporting prehabilitation for colorectal surgery. Surgery. 2011; 150 (3): 505-514 [OpenAIRE] [PubMed] [DOI]

Carlisle, JB. Assessing fitness, predicting outcome, and the missing axis. Br J Anaesth. 2012; 109 (1): 35-39 [OpenAIRE] [PubMed] [DOI]

Peden, CJ, Grocott, MPW. National Research Strategies: what outcomes are important in peri-operative elderly care?. Anaesthesia. 2014; 69: 61-69 [OpenAIRE] [PubMed] [DOI]

Shulman, M, Myles, P. Measuring perioperative outcome. Curr Opin Anaesthesiol. 2016; 29 (6): 733-738 [PubMed] [DOI]

Moonesinghe, SR, Mythen, MG, Das, P, Rowan, KM, Grocott, MP. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery. Qualitative systematic review. Anaesthesiology. 2013; 119: 958-981 [OpenAIRE] [DOI]

Oliver, CM, Walker, E, Giannaris, S, Grocott, MPW, Moonesinghe, SR. Risk assessment tools validated for patients undergoing emergency laparotomy: a systematic review. Br J Anaesth. 2015; 115 (6): 849-860 [OpenAIRE] [PubMed] [DOI]

Koo, CY, Hyder, JA, Wanderer, JP, Eikermann, M, Ramachandran, SK. A meta-analysis of the predictive accuracy of postoperative mortality using the American Society of Anesthesiologists’ physical status classification system. World J Surg. 2015; 39 (1): 88-103 [OpenAIRE] [PubMed] [DOI]

Fleisher, LA, Fleischmann, KE, Auerbach, AD, Barnason, SA, Beckman, JA, Bozkurt, B, Davila-Roman, VG, Gerhard-Herman, MD, Holly, TA, Kane, GC, Marine, JE, Nelson, MT, Spencer, CC, Thompson, A, Ting, HH, Uretsky, BF, Wijeysundera, DN. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery. J Am Coll Cardiol. 2014; 64 (22): 2373-2405 [OpenAIRE] [DOI]

Lee, TH, Marcantonio, ER, Mangione, CM, Thomas, EJ, Polanczyk, CA, Cook, EF, Sugarbaker, DJ, Donaldson, MC, PossR, HKKL, Ludwig, LE, Pedan, A, Goldman, L. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999; 100 (10): 1043-1049 [OpenAIRE] [PubMed] [DOI]

Turrentine, FE, Wang, H, Simpson, VB, Jones, RS. Surgical risk factors, morbidity, and mortality in elderly patients. J Am Coll Surg U S. 2006; 203 (6): 865-877 [OpenAIRE] [DOI]

Protopapa, KL, Simpson, JC, Smith, NCE, Moonesinghe, SR. Development and validation of the surgical outcome risk tool (SORT). Br J Surg. 2014; 101 (13): 1774-1783 [OpenAIRE] [PubMed] [DOI]

Haynes, AB, Regenbogen, SE, Weiser, TG, Lipsitz, SR, Dziekan, G, Berry, WR, Gawande, AA. Surgical outcome measurement for a global patient population: validation of the Surgical Apgar Score in 8 countries. Surgery. 2011; 149 (4): 519-524 [OpenAIRE] [PubMed] [DOI]

Moonesinghe, SR, Mythen, MG, Das, P, Rowan, KM, Grocott, MP. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery. Qualitative systematic review. Anaeshtesiology. 2013; 119: 958-981 [OpenAIRE]

Story, DA, Fink, M, Leslie, K, Myles, PS, Yap, SJ, Beavis, V. Perioperative mortality risk score using pre- and postoperative risk factors in older patients. Anaesth Intensive Care Aust. 2009; 37: 392-398

85 references, page 1 of 6
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publication . Article . Part of book or chapter of book . Conference object . Other literature type . Book . Master thesis . 2003

Risk Assessment

Tools, Techniques, and Their Applications
Olshan, A. F.; Kimmel, G.; Donald Mattison;