Literature DB >> 15694882

Getting to the point: developing IT for the sharp end of healthcare.

C Nemeth1, M Nunnally, M O'Connor, P A Klock, R Cook.   

Abstract

Healthcare demonstrates the same properties of risk, complexity, uncertainty, dynamic change, and time-pressure as other high hazard sectors including aviation, nuclear power generation, the military, and transportation. Unlike those sectors, healthcare has particular traits that make it unique such as wide variability, ad hoc configuration, evanescence, resource constraints, and governmental and professional regulation. While healthcare's blunt (management) end is more easily understood, the sharp (operator) end is more difficult to research the closer one gets to the sharp end's point. Understanding sharp end practice and cognitive work can improve computer-based systems resilience, which is the ability to perform despite change and challenges. Research into actual practice at the sharp end of healthcare will provide the basis to understand how IT can support clinical practice. That understanding can be used to develop computer-based systems that will act as team players, able to support both individual and distributed cognitive work at healthcare's sharp end.

Mesh:

Year:  2005        PMID: 15694882     DOI: 10.1016/j.jbi.2004.11.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  6 in total

1.  Describing and modeling workflow and information flow in chronic disease care.

Authors:  Kim M Unertl; Matthew B Weinger; Kevin B Johnson; Nancy M Lorenzi
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

2.  Workarounds to barcode medication administration systems: their occurrences, causes, and threats to patient safety.

Authors:  Ross Koppel; Tosha Wetterneck; Joel Leon Telles; Ben-Tzion Karsh
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

3.  Prolonged, High-Fidelity Simulation for Study of Patient Care in Resource-Limited Medical Contexts and for Technology Comparative Effectiveness Testing.

Authors:  Jeremy C Pamplin; Sena R Veazey; Joanne De Howitt; Katy Cohen; Stacie Barczak; Mark Espinoza; Dave Luellen; Kevin Ross; Maria Serio-Melvin; Mary McCarthy; Christopher J Colombo
Journal:  Crit Care Explor       Date:  2021-07-06

4.  Development and evaluation of nursing user interface screens using multiple methods.

Authors:  Sookyung Hyun; Stephen B Johnson; Peter D Stetson; Suzanne Bakken
Journal:  J Biomed Inform       Date:  2009-05-19       Impact factor: 6.317

5.  What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project.

Authors:  Giuseppe Fico; Liss Hernanzez; Jorge Cancela; Arianna Dagliati; Lucia Sacchi; Antonio Martinez-Millana; Jorge Posada; Lidia Manero; Jose Verdú; Andrea Facchinetti; Manuel Ottaviano; Konstantia Zarkogianni; Konstantina Nikita; Leif Groop; Rafael Gabriel-Sanchez; Luca Chiovato; Vicente Traver; Juan Francisco Merino-Torres; Claudio Cobelli; Riccardo Bellazzi; Maria Teresa Arredondo
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-16       Impact factor: 2.796

Review 6.  Open source GIS for HIV/AIDS management.

Authors:  Bas Vanmeulebrouk; Ulrike Rivett; Adam Ricketts; Melissa Loudon
Journal:  Int J Health Geogr       Date:  2008-10-22       Impact factor: 3.918

  6 in total

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