The American law institute's principles on software contracts and their ramifications for software engineering research (NIER track)

Williams, James B.; Weber-Jahnke, Jens H.

doi:10.1145/1985793.1985963

Cited by 1 publication

(2 citation statements)

References 11 publications

(9 reference statements)

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“…In some communities, this has emerged as a barrier to HIS adoption and has initiated discussions and publications regarding software developer and vendor blame from a legal perspective [25, 26]. Others have determined that software vendors and their employees can be held legally accountable for harms arising from poorly designed and implemented software [1, 23, 25, 26].…”

Section: Review Of the Literaturementioning

confidence: 99%

“…Others have determined that software vendors and their employees can be held legally accountable for harms arising from poorly designed and implemented software [1, 23, 25, 26]. These publications have led some country and government organizations to begin the process of monitoring and regulating software developed in health care (e.g., United States, European Union) [3, 6].…”

Section: Review Of the Literaturementioning

confidence: 99%

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A Methodology for Validating Safety Heuristics Using Clinical Simulations: Identifying and Preventing Possible Technology-Induced Errors Related to Using Health Information Systems

Borycki

Kushniruk²,

Carvalho³

2013

Computational and Mathematical Methods in Medicine

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Internationally, health information systems (HIS) safety has emerged as a significant concern for governments. Recently, research has emerged that has documented the ability of HIS to be implicated in the harm and death of patients. Researchers have attempted to develop methods that can be used to prevent or reduce technology-induced errors. Some researchers are developing methods that can be employed prior to systems release. These methods include the development of safety heuristics and clinical simulations. In this paper, we outline our methodology for developing safety heuristics specific to identifying the features or functions of a HIS user interface design that may lead to technology-induced errors. We follow this with a description of a methodological approach to validate these heuristics using clinical simulations.

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