Work system design for patient safety: the SEIPS model

By Pascale Carayon, Ann Schoofs Hundt, Ben-Tzion Karsh, A. Gurses, C. Alvarado, Michael John Smith, P. Brennan. BMJ Quality & Safety, 2006

1,676 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Health Information Management, Medical Laboratory Technology

View Paper: https://www.semanticscholar.org/paper/d1341354adecf3074cdce8d706ccfec017ac370f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medical Services

1. R. Holden
2. Ben-Tzion Karsh
3. Tosha B. Wetterneck

In Health Information Management

1. R. Holden
2. Ben-Tzion Karsh
3. Tosha B. Wetterneck
4. Ross Koppel
5. Ann Schoofs Hundt
6. Pascale Carayon

In Medical Laboratory Technology

1. R. Holden
2. Ben-Tzion Karsh
3. Tosha B. Wetterneck
4. Ann Schoofs Hundt
5. Pascale Carayon

Citations in the corpus

• A New Socio-technical Model for Studying Health Information Technology in Complex Adaptive Healthcare Systems (2010, neutral): “Third, Carayon's Systems Engineering Initiative for Patient Safety model”
• Human factors systems approach to healthcare quality and patient safety (2013, methodology): “…et al., 2005a; Hoonakker et al., 2010; Hoonakker et al., 2011), observation methodology (Carayon et al., 2005d; Carayon et al., 2007b), interviews (Carayon et al., 2006a; Gurses and Carayon, 2009), and proactive risk assessment of healthcare processes (Carayon et al., 2011e; Hundt et al., 2013;…”
• SEIPS 3.0: Human-Centered Design of the Patient Journey for Patient Safety (2020, neutral): “In the different visual representations of the SEIPS model (Carayon et al., 2006; Carayon et al., 2014b; Holden et al., 2013), the work system and the process are displayed separately.”
• Factors affecting home care patients' acceptance of a web-based interactive self-management technology (2011, neutral): “Applying usability principles is necessary but not sufficient to achieve useful CHIT; cognitive analyses and user involvement provide the ‘what’ to design; usability principles and principles of data representation for problem solving”
• Health information technology: fallacies and sober realities (2010, background): “Because information presentation profoundly affects user behavior and decision-making, it is critical that information displays be thoughtfully designed and rigorously tested to ensure they yield the best possible performance outcomes. These evaluations must consider the full complexity of the conte”
• Technology Evaluation: Workarounds to Barcode Medication Administration Systems: Their Occurrences, Causes, and Threats to Patient Safety (2008, methodology): “When possible, subsequent interviews and our participation in meetings for FMEA, morbidity and mortality conferences, and BCMA implementation also helped validate the candidate workarounds and their causes. Only workarounds and their causes that were actually observed, reported, or documented are in”
• SEIPS 2.0: A human factors framework for studying and improving the work of healthcare professionals and patients (2013, background): “In the US, a prevalent healthcare human factors model of person-centered sociotechnical systems is the framework introduced by Carayon and colleagues in the University of Wisconsin’s Systems Engineering Initiative for Patient Safety (SEIPS) (Carayon et al., 2006; Carayon et al., 2013).”