Human Reliability SHERPA: A systematic human error reduction and prediction approach

2009 ◽  
pp. 135-141
Author(s):  
Mònica Paz Barroso ◽  
John R. Wilson

New demands on modern manufacturing systems have emphasised the need for higher levels of overall system reliability. The main focus of this paper is that of the reliability of manufacturing personnel and the way in which this interrelates with overall system performance. A framework - Human Error and Disturbance Occurrence in Manufacturing Systems (HEDOMS) is proposed, which integrates human reliability with overall system performance, relating human error with disturbance occurrence and handling. The HEDOMS framework has been extended into a toolkit to enable the identification of potential for human error and disturbance occurrence in manufacturing systems, as well as the definition of suitable error reduction measures.


Author(s):  
Reza JAFARI NODOUSHAN ◽  
Khalil TAHERZADEH CHENANI ◽  
Mehdi NAKHAEE NEZHAD ◽  
Sepideh SHAHSAVARI

Introduction: In examining the unfortunate events that have taken place in the industrial and health sectors, human error is considered as the main cause of these events. Given the sensitivity and importance of medical careers, the occurrence of errors can lead to irreparable consequences. The purpose of this study was to investigate the human error in the emergency department of Imam Khomeini Hospital in Jiroft. Methods: This study was a cross-sectional and descriptive one. Emergency nurses' job duties have been analyzed by interviewing emergency nurses and studying nursing job guidelines and procedures using hierarchical task analysis. Finally, using the Systematic Human Error Reduction and Prediction Approach, human errors in nursing care were analyzed. Results: Generally, 4 tasks, 18 sub-tasks and 91 types of errors related to nursing activities were identified. Number of errors found, 27 (30%) Action errors, 18 (20%) Checking errors, 19 (21%) Retrieval errors, 12 (13%) communication errors, and 15 (16%) selection errors Were. As can be seen, the largest number of errors was related to the type of Action errors. Conclusion: Considering the results of the present study, the highest numbers of errors were related to Action and Checking errors respectively, which due to the sensitivity of nursing jobs and especially in the emergency department, require the use of highly skilled people to perform tasks that require high concentration and accuracy.


Author(s):  
Ismu Kusumanto

Penelitian ini dilakukan di PT. Riau Crumb Rubber Factory adalah perusahaan yang bergerak dalam pengolahan karet mentah menjadi barang setengah jadi (work in process) yang kemudian diekspor ke luar negeri. Jenis produk yang dihasilkan yaitu crumb rubber SIR-10 dan SIR-20 (Standart Indonesia Rubber). Salah satu potensi terjadinya human error yang teridentifikasi tersebut identifikasi jenis dan kejadian kesalahan kerja operator di stasiun proses kerja blower, press, metal detector dan packing. Metode yang digunakan adalah Systematic Human Error Reduction and Prediction Approach (SHERPA) Berdasarkan hasil identifikasi tersebut selanjutnya ditelusuri penyebab terjadinya kesalahan untuk ditentukan pendekatan guna mengurangi kejadian kesalahan kerja operator. Dari hasil pengolahan data potensi terjadinya human error diakibatkan karena operator menjatuhkan balok karet, operator lupa memeriksa dan operator tidak memperhatikan set-up mesin. Terdapat 11 deskripsi error dari 27 task, prediksi error yang mungkin terjadi sesuai dengan HTA dari hasil SHERPA berupa strategi perbaikan untuk meminimasi potensi terjadinya error agar dapat mengurangi resiko kesalahan. Terdapat dua macam usulan perbaikan yaitu dengan menggunakan form checklist dan SOP penggunaan mesin.


2020 ◽  
Vol 19 (4) ◽  
pp. 287-300
Author(s):  
Luis A. Saavedra-Robinson ◽  
Sergio Páez-Sarmiento ◽  
Jhon F Ramírez

Esta investigación presenta un acercamiento desde la ergonomía cognitiva en la determinación del error humano en el sector logístico, particularmente para el caso del transporte terrestre de carga. Para ello se aplicaron los métodos de Systematic Human Error Reduction and Prediction Approach –SHERPA y Success Likelihood Index Method –SLIM en tres empresas participantes del estudio. Se identificaron errores en la generación del costo del servicio (T1), en el ingreso de datos del servicio (T2), en la notificación a los clientes de las novedades del servicio (T3) y en la preparación de la documentación para los conductores (T4). Se cuantificaron los errores cuya probabilidad de ocurrencia oscilaron entre un 24,8% y 34,2%. Sedeterminó la fiabilidad de cada error como un sistema independiente, en cuyo caso el resultado arrojado para las tareas T1, T2 y T3 fue del 80% y del 75% para T4.


2017 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Behzad Fouladi Dehaghi ◽  
Ali Rastin ◽  
Maryam Malekzadeh ◽  
Leila Ibrarahimi Ghavamabadi

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Aoife Lavelle ◽  
Mary White ◽  
Mark J.D. Griffiths ◽  
Dara Byrne ◽  
Paul O’Connor

Abstract Background Teaching and assessing clinical procedures requires a clear delineation of the individual steps required to successfully complete the procedure. For decades, human reliability analysis (HRA) has been used to identify the steps required to complete technical procedures in higher risk industries. However, the use of HRA is uncommon in healthcare. HRA has great potential supporting simulation-based education (SBE) in two ways: (1) to support training through the identification of the steps required to complete a clinical procedure; and (2) to support assessment by providing a framework for evaluating performance of a clinical procedure. The goal of this study was to use HRA to identify the steps (and the risk associated with each of these steps) required to complete a bronchoscope-assisted percutaneous dilatational tracheostomy (BPDT). BPDT is a potentially high-risk minimally invasive procedure used to facilitate tracheostomy placement at the bedside or in the operating theatre. Methods The subgoals, or steps, required to complete the BPDT procedure were identified using hierarchical task analysis. The Systematic Human Error Reduction and Prediction Approach (SHERPA) was then used to identify potential human errors at each subgoal, the level of risk and how these potential errors could be prevented. Results The BPDT procedure was broken down into 395 subgoals, of which 18% were determined to be of high-risk. The most commonly identified remediation strategies for reducing the risk of the procedure included: checklist implementation and audit, statutory and mandatory training modules, simulation training, consultant involvement in all procedures, and fostering a safety-focused hospital culture. Conclusion This study provides an approach for how to systematically identify the steps required to complete a clinical procedure for both training and assessment. An understanding of these steps is the foundation of SBE. HRA can identify ‘a correct way’ for teaching learners how to complete a technical procedure, and support teachers to give systematic and structured feedback on performance.


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