Improving safety with information technology.

By David W. Bates, A. Gawande. New England Journal of Medicine, 2003

1,521 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Health Information Management, Surgery

View Paper: https://www.semanticscholar.org/paper/16859c10dcc97b6df6cdc81c9442a39915242a4d

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

In Emergency Medical Services

In Health Information Management

In Surgery

Citations in the corpus

Technology induced error and usability: The relationship between usability problems and prescription errors when using a handheld application (2005, background): “They hold considerable promise for improving safety in health care [7—10].”
Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. (2007, neutral): “Patient or family counseling 92 (92-97)19,26,33 91 (90-92)19,33”
Clinical information technologies and inpatient outcomes: a multiple hospital study. (2009, neutral): “Benefits have emerged.(2,3) However, studiesexaminingthe”
A review and a framework of handheld computer adoption in healthcare (2005, background): “Wireless/ computing devices allows sever efficient communication regard Increased safety or reduce medical OB and EB: One of the major ad [2,4,71,72].”
Human factors systems approach to healthcare quality and patient safety (2013, background): “Impact of health IT on work system, care process and patient safety In many countries, health IT is seen as a significant means of improving healthcare quality and patient safety (Bates, 2000; Bates and Gawande, 2003).”
Incident reporting and patient safety (2007, neutral): “At national level, whether in the United Kingdom or elsewhere, priority should be given to developing safety indicators and measuring harm and other safety issues, a process already begun by the National Patient Safety Agency. When the move to electronic medical records is achieved, records could be”
A Review of Challenges and Opportunities in Machine Learning for Health. (2018, background): “To support such needs, past work has examined recommending both standardized order sets to help care staff quickly assess what medications they may have missed 51 and default dosages to avoid dangerous dosing 52 .”
Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion (2009, background): “A general assumption underlying this momentum is that EHRs will have a positive impact on persistent problems with the delivery of health care such as medical errors and high administrative costs (Bates and Gawande 2003; Becker 2004).”
Development of an Electronic Health Record-based Clinical Trial Alert System to Enhance Recruitment at the Point of Care (2005, background): “clinical decision support systems (CDSS) that have been demonstrated to influence clinician behavior for the benefit of patient safety and healthcare quality [20].”