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1

Contreras, Joemart. "Root Cause Analysis." Journal of Clinical Engineering 46, no. 2 (April 2021): 85–88. http://dx.doi.org/10.1097/jce.0000000000000456.

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Paulsen, Megan. "Root Cause Analysis." JAMA 325, no. 3 (January 19, 2021): 225. http://dx.doi.org/10.1001/jama.2020.24911.

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Burgess, David. "Root Cause Analysis." EDFA Technical Articles 22, no. 1 (February 1, 2020): 55–56. http://dx.doi.org/10.31399/asm.edfa.2020-1.p055.

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Abstract This columnn explores the idea that insights into the root cause of increasingly complex failures may be hidden in unanswered questions from past analyses, indicating that there might be more value in previous files than once thought.
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4

Ziegel, Eric R., P. Wilson, L. Dell, and G. Anderson. "Root Cause Analysis." Technometrics 36, no. 2 (May 1994): 230. http://dx.doi.org/10.2307/1270255.

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5

Dankovic, Daniel D. "Root Cause Analysis." Technometrics 43, no. 3 (August 2001): 370–71. http://dx.doi.org/10.1198/tech.2001.s623.

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6

Ewen, Brenda M., and Gale Bucher. "Root Cause Analysis." Home Healthcare Nurse 31, no. 8 (September 2013): 435–43. http://dx.doi.org/10.1097/nhh.0b013e3182a1dc32.

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&NA;. "Root Cause Analysis." Home Healthcare Nurse 31, no. 8 (September 2013): 443–45. http://dx.doi.org/10.1097/nhh.0b013e3182a826b9.

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8

McCarty, Jennifer L., Ryan M. David, Shelly Y. Lensing, Rohan S. Samant, Manoj Kumar, Rudy L. Van Hemert, Edgardo J. C. Angtuaco, and Ryan T. Fitzgerald. "Root Cause Analysis." Journal of Computer Assisted Tomography 41, no. 3 (2017): 484–88. http://dx.doi.org/10.1097/rct.0000000000000522.

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Canzonetti, Eileen M. "Root Cause Analysis." Gastroenterology Nursing 31, no. 2 (March 2008): 159. http://dx.doi.org/10.1097/01.sga.0000316549.60899.14.

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10

Stecker, Michael S. "Root Cause Analysis." Journal of Vascular and Interventional Radiology 18, no. 1 (January 2007): 5–8. http://dx.doi.org/10.1016/j.jvir.2006.10.004.

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Flott, Leslie W. "Root Cause Analysis." Metal Finishing 109, no. 6 (September 2011): 40–41. http://dx.doi.org/10.1016/s0026-0576(13)70025-4.

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Adshead, Gwen. "Root cause analysis." Psychiatric Bulletin 29, no. 2 (February 2005): 71. http://dx.doi.org/10.1192/pb.29.2.71.

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13

Williams, Patricia M. "Techniques for Root Cause Analysis." Baylor University Medical Center Proceedings 14, no. 2 (April 2001): 154–57. http://dx.doi.org/10.1080/08998280.2001.11927753.

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14

Collopy, Michael T., and Robert M. Waters. "Human Error Root Cause Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 24 (October 1996): 1272. http://dx.doi.org/10.1177/154193129604002441.

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15

Uberoi, R. S., Eva Swati, Umesh Gupta, and Anupam Sibal. "Root Cause Analysis in Healthcare." Apollo Medicine 4, no. 1 (March 2007): 72–75. http://dx.doi.org/10.1016/s0976-0016(11)60440-7.

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Uberoi, RS, Umesh Gupta, and A. Sibal. "Root Cause Analysis in Healthcare." Apollo Medicine 1, no. 1 (September 2004): 60–63. http://dx.doi.org/10.1016/s0976-0016(12)60044-1.

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17

Jhugursing, Mhairi, Valerie Dimmock, and Haresh Mulchandani. "Error and Root Cause Analysis." BJA Education 17, no. 10 (October 2017): 323–33. http://dx.doi.org/10.1093/bjaed/mkx019.

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18

Ammerman, Max. "The Root Cause Analysis Handbook." Journal For Healthcare Quality 21, no. 5 (September 1999): 40. http://dx.doi.org/10.1111/j.1945-1474.1999.tb00991.x.

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19

Roig, Randy A., and Peter Schneider. "Audits and root cause analysis." Environmental Quality Management 4, no. 1 (1994): 67–74. http://dx.doi.org/10.1002/tqem.3310040107.

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20

Uberoi, R. S., Umesh Gupta, and A. Sibal. "Root Cause Analysis in Healthcare." Apollo Medicine 1, no. 1 (September 2004): 60–63. http://dx.doi.org/10.1177/0976001620040114.

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21

Uberoi, R. S., Eva Swati, Umesh Gupta, and Anupam Sibal. "Root Cause Analysis in Healthcare." Apollo Medicine 4, no. 1 (March 2007): 72–75. http://dx.doi.org/10.1177/0976001620070115.

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22

Chwat, Carina, Mariana Seisdedos, Gustavo Lemme, Fernando Iudica, and Pablo Cingolani. "“Never Event” in surgery: Root-Cause Analysis." Revista Argentina de Cirugía 115, no. 1 (March 1, 2023): 52–64. http://dx.doi.org/10.25132/raac.v115.n1.1695.

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At least half of the adverse events on hospitalized patients are associated with surgery. Root cause analysis (RCA) is a systematic way of analyzing these events to find their causes through a step-by-step review of the chronology of facts, identifying those that could have caused the event. An Ishikawa diagram (also called fishbone diagram) is a visual method for root cause analysis that allows the identification and categorization of all possible causes of an event. The goal is to answer what happened, why did it happen, and what can be done to prevent it from happening again. The ultimate goal is to improve healthcare processes by preventing the recurrence of the adverse event and prioritizing learning and improvement based on its analysis. Communicating the findings of the analysis and the measures to be implemented, discussing cases in morbidity and mortality meetings and continuous education of staff are the cornerstones for changing the culture towards one centered on safety and quality, replacing the “reactive” culture with a “proactive” culture, which considers events as an instrument for learning and continuous improvement.
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23

Dey, Arnab. "Advanced Log Analysis Tools for Efficient Root Cause Identification." International Journal of Science and Research (IJSR) 13, no. 4 (April 5, 2024): 421–22. http://dx.doi.org/10.21275/sr24401022444.

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24

Cardenas, William, and Wolfgang Klippel. "Root Cause Analysis of Rocking Modes." Journal of the Audio Engineering Society 64, no. 12 (December 27, 2016): 969–77. http://dx.doi.org/10.17743/jaes.2016.0046.

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25

Kiruthika, T. K. "Root Cause Analysis in Health Care." International Journal of Nursing Education and Research 3, no. 4 (2015): 441. http://dx.doi.org/10.5958/2454-2660.2015.00038.1.

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26

Ming Tan, Cher, and Nagarajan Raghavan. "Root cause analysis based maintenance policy." International Journal of Quality & Reliability Management 24, no. 2 (February 13, 2007): 203–28. http://dx.doi.org/10.1108/02656710710722293.

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27

Immel, J. "Root Cause Analysis for Young Engineers." Science 340, no. 6131 (April 25, 2013): 444–45. http://dx.doi.org/10.1126/science.1229907.

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28

Whittingham, Barry. "Root Cause Analysis of Major Accidents." Safety and Reliability 9, no. 1 (March 1989): 5–10. http://dx.doi.org/10.1080/09617353.1989.11691177.

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29

Hartrick, Craig T. "The Opioid Epidemic: Root Cause Analysis." Pain Practice 16, no. 7 (September 2016): 787. http://dx.doi.org/10.1111/papr.12489.

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30

Lee, Hyeon-Jeong, Eun-Young Choi, Min-Su Ock, and Sang-Il Lee. "Guidelines for Performing Root Cause Analysis." Quality Improvement in Health Care 23, no. 1 (June 30, 2017): 25–38. http://dx.doi.org/10.14371/qih.2017.23.1.25.

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31

Schneider, Mary Ellen. "Sustainable Change Through Root Cause Analysis." Hospitalist News 3, no. 12 (December 2010): 23. http://dx.doi.org/10.1016/s1875-9122(10)70307-2.

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32

Ferjencik, Milos. "IPICA_Lite—Improvements to root cause analysis." Reliability Engineering & System Safety 131 (November 2014): 1–13. http://dx.doi.org/10.1016/j.ress.2014.06.004.

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33

Bhaumik, S. K. "Root cause analysis in engineering failures." Transactions of the Indian Institute of Metals 63, no. 2-3 (April 2010): 297–99. http://dx.doi.org/10.1007/s12666-010-0040-y.

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34

Zastrow, Rachel L. "Root Cause Analysis in Infusion Nursing." Journal of Infusion Nursing 38, no. 3 (2015): 225–31. http://dx.doi.org/10.1097/nan.0000000000000104.

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35

Buck, David, Renee Kreeger, and James Spaeth. "Case Discussion and Root Cause Analysis." Anesthesia & Analgesia 119, no. 1 (July 2014): 137–40. http://dx.doi.org/10.1213/ane.0000000000000275.

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36

Merrett, Hilary. "Six Steps to Root Cause Analysis." Clinical Risk 18, no. 4 (July 2012): 138. http://dx.doi.org/10.1258/cr.2012.012030.

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37

Jansen, Jeffrey. "Root Cause Analysis: Success in Failure." Plastics Engineering 70, no. 7 (July 2014): 20–26. http://dx.doi.org/10.1002/j.1941-9635.2014.tb01210.x.

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38

Nurul Amin, Muhamed Jamil Khan, Noor Syaffynas Yusoff, Ahmad Azim Pauzi, Kok Ping Hun, Nor Azizy Suratanin, Za’im Zainal, Nurul Aizad M Safian, M. Anif Adenan, Ahmad Aiman Mohamad, and Jayakumar Viswanathan. "ROOT CAUSE ANALYSIS (RCA): ARE FAILURES CAUSED BY INADEQUATE MAINTENANCE?" Platform : A Journal of Engineering 5, no. 2 (June 30, 2021): 42. http://dx.doi.org/10.61762/pajevol5iss2art14135.

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While wrong quality assurance and control during maintenance activity may affect failures of physical assets, it is not always true to associate the “lack” of maintenance or the perception of it to failure of physical assets or degradation of system reliability. This paper intends to methodically assess the contribution of lack of maintenance towards physical asset failures, degradation of system reliability, and whether it matters or not. By achieving the conclusion, operation and maintenance engineers and facility heads should be better positioned to not immediately link failures to lack of maintenance and be cautious during root cause analysis sessions. This will help build a healthier culture, i.e., generative culture. As a result, RCAs will be performed more objectively and aimed to improve, rather than blame. It is found from the assessment that only about a (theoretical) maximum of 30% of failures may be caused by lack of maintenance, requiring the entire organisation to be more careful during RCAs to not jump to a conclusion. Keywords: root cause analysis, inadequate maintenance, failure, reliability, RCA
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39

Rajavat, Er Anand, and Vrinda Tokekar. "RCause - A Root Cause Analysis Model to Identify the Root Causes of Software Reengineering Problems." International Journal of Computer Science and Information Technology 3, no. 3 (June 18, 2011): 265–73. http://dx.doi.org/10.5121/ijcsit.2011.3319.

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40

Chen, Hong, Peng Wu, and Wei Wei. "New Perspective on Job Burnout: Exploring the Root Cause beyond General Antecedents Analysis." Psychological Reports 110, no. 3 (June 2012): 801–19. http://dx.doi.org/10.2466/01.09.13.pr0.110.3.801-819.

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Previous studies of job burnout are discussed and three types of job burnout are presented and compared. Various studies of job burnout were reviewed in terms of participants, burnout situation, and root cause. Next, the framework of job burnout antecedents was reformulated, including characteristics of organizations, work, and individuals. Three types of job burnout—organizational weakness-caused burnout, work weakness-caused burnout, and individual characteristic-caused burnout—were posited based on the root causes contributing to job burnout. Finally, the three subcomponents of job burnout were compared on availability, concealment, universality, severity, duration, diffusibility, and changeability. Root causes of job burnout should be attended to in job burnout research and intervention programs.
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41

Groot, Wendy. "Root cause analysis – what do we know?" Maandblad Voor Accountancy en Bedrijfseconomie 95, no. 1/2 (March 10, 2021): 87–93. http://dx.doi.org/10.5117/mab.95.60778.

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Root cause analysis (RCA) provides audit firms, regulators, policy makers and practitioners the opportunity to learn from past adverse events and prevent them from reoccurring in the future, leading to better audit quality. Recently approved regulations (ISQM1) make RCA mandatory for certain adverse events, making it essential to learn how to properly conduct an RCA. Building on the findings and recommendations from the RCA literature from other industries where RCA practice is more established such as the aviation and healthcare industries, audit firms can implement an adequate and effective RCA process. Based on the RCA literature, I argue that audit firms would benefit from a systems-based approach and establishing a no-blame culture.
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42

McLamarrah, Jane, Rod Lovett, Juan Bedoya, and Eduardo Baez. "Miami-Dade’s Root Cause Analysis Reduces SSOs." Proceedings of the Water Environment Federation 2016, no. 4 (January 1, 2016): 617–32. http://dx.doi.org/10.2175/193864716821124791.

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43

Wawrzyniak, PsyD, Kelly M., Alex Sabo, MD, Ann McDonald, RN, MN, Jeremiah J. Trudeau, PhD, Mon Poulose, MD, Mary Brown, PhD, and Nathaniel P. Katz, MD, MS. "Root cause analysis of prescription opioid overdoses." Journal of Opioid Management 11, no. 2 (March 1, 2015): 127. http://dx.doi.org/10.5055/jom.2015.0262.

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Overdoses (ODs) of prescription opioids (RxOs) have become a major public health issue in the United States.Objective: To determine the root causes of accidental prescription opioid overdoses (RxO-OD).Design/setting/participants/intervention: The authors conducted a root cause analysis using the Antecedent Target-Measurement method, interviewing three types of key informants: survivors of RxO-ODs, family members, and clinical experts.Results: Ten survivors, five family members, and three experts were interviewed. Proximal causes of RxO-ODs described by survivors and family members were recent RxO dose escalation (n = 9), polysubstance use (n = 5), and polypharmacy use (n = 3). Proximal causes were elicited by the following six antecedent causes: wanting to feel good/high (n = 9), perceived tolerance to RxO (n = 6), didn't know/believe it was dangerous (n = 5), wanting to reduce psychosocial pain (n = 5), wanting to reduce physical pain (n = 4), and wanting to avoid discomfort due to withdrawal symptoms (n = 4). RxOs involved in the OD were either prescribed by a doctor (n = 7), purchased from a dealer (n = 6), given/purchased from family/friends (n = 3), or stolen from family (n = 1). Psychosocial stressors (n = 9), chronic recurrent depression (n = 3), and chronic substance abuse/addiction (n = 4) were also distal and proximal causes of OD. Experts cited similar causes but added prescriberrelated causes (eg, inadequate training) and healthcare system and culture.Conclusions: Patients at risk for OD can be identified and ODs potentially prevented. Opportunities for intervention include routine screening of patients using RxOs for psychosocial distress and coping, flagging of high-risk patients, care pathways for high-risk patients, clinician and patient training on OD prevention, and developing abuse-deterrent formulations of RxOs.
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44

Rayan, AymanAly, SherifEssam Hemdan, and AymanMohamed Shetaia. "Root cause analysis of blunders in anesthesia." Anesthesia: Essays and Researches 13, no. 2 (2019): 193. http://dx.doi.org/10.4103/aer.aer_47_19.

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45

Chioua, Moncef, Chaojun Xu, Heiko Petersen, and Jan Schlake. "Sequence/batch monitoring and root cause analysis." atp magazin 57, no. 05 (May 5, 2015): 50–58. http://dx.doi.org/10.17560/atp.v57i05.2268.

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Batch processes are commonly used in industry to produce semiconductor devices, drugs, polymers, speciality chemicals, or other high quality products. Large amounts of process data are collected during batch operations and stored in process historians. Today, this valuable resource is not used systematically because of the lack of dedicated tools and methods to extract reliable information from it. Detecting unintended deviations from normal operation or identifying the root cause of abnormal behaviour becomes difficult with the ever increasing amount and complexity of stored data. To overcome this challenge, this paper proposes a multi-level workflow based on a combination of standard monitoring techniques that enables a hierarchical approach to batch process monitoring. The batch level analysis is able to automatically detect an abnormal batch within a collection of recorded batch datasets. The time level analysis makes it possible to detect the time of occurrence of the batch abnormality and isolate the process variables that significantly contribute to the detected process or operation abnormality. A case study for a fluidized-bed granulation process shows that the proposed methodology leads to robust results in challenging environments.
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46

Carpenter, Chris. "Root-Cause Analysis of Offshore Pipeline Failures." Journal of Petroleum Technology 70, no. 11 (November 1, 2018): 99–100. http://dx.doi.org/10.2118/1118-0099-jpt.

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47

Markande, Aniket A. "Root Cause Analysis on Failure of Bearing." International Journal for Research in Applied Science and Engineering Technology 7, no. 2 (February 28, 2019): 959–61. http://dx.doi.org/10.22214/ijraset.2019.2148.

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48

Naď, M., J. Buzík, T. Létal, and P. Lošák. "Root-cause analysis of superheater-tube failure." Materiali in tehnologije 51, no. 3 (June 2, 2017): 503–7. http://dx.doi.org/10.17222/mit.2016.204.

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49

Woodward, Suzette, Mike Rejman, and Kathryn Hill. "Root Cause Analysis and Mental Health Incidents." Mental Health Review Journal 9, no. 3 (September 2004): 17–20. http://dx.doi.org/10.1108/13619322200400026.

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50

Worman, Dawn, and Mary Rock. "Teaching Nursing Students Root-Cause Readmission Analysis." Nurse Educator 46, no. 1 (May 26, 2020): 15–16. http://dx.doi.org/10.1097/nne.0000000000000851.

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