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1 - 20 of 28

Jena AB, Olenski AR. New York Times. February 20, 2020.

Unconscious biases affecting health care decisions elevate the potential for harm. This news story discusses how experience and implicit biases can impact physician decision-making. The use of decision support is one strategy highlighted to redirect heuristics and other cognitive biases to minimize their impact on treatment.   
Whitaker P. New Statesman. August 2, 2019;148:38-43.
Artificial intelligence (AI) and advanced computing technologies can enhance clinical decision-making. Exploring the strengths and weaknesses of artificial intelligence, this news article cautions against the wide deployment of AI until robust evaluation and implementation strategies are in place to enhance system reliability. A recent PSNet perspective discussed emerging safety issues in the use of artificial intelligence.
Ross C. STAT. May 13, 2019.
Nuisance alarms, interruptions, and insufficient staff availability can hinder effective monitoring and response to acute patient deterioration. This news article reports on how hospital logistics centers are working toward utilizing artificial intelligence to improve clinician response to alarms by proactively identifying hospitalized patients at the highest risk for heart failure to trigger emergency response teams when their condition rapidly declines.
Parikh R. MIT Technol Rev. October 23, 2018.
Computerized decision support and artificial intelligence (AI) are being utilized to enhance decision-making in health care. This magazine article explains how artificial intelligence presents clinicians with an opportunity to improve practice by reducing cognitive load when determining appropriate diagnoses and treatment decisions.
Burt A, Volchenboum S. Harv Bus Rev. May 8, 2018.
Use of artificial intelligence and computer algorithms as tools to improve diagnosis have both risks and benefits. This magazine article reports on how computer-assisted diagnosis can support accuracy and enable physicians to dedicate more time and attention to direct patient care.
Landro L.
Misdiagnosis has gained recognition as an important patient safety problem. This newspaper article reports on several areas of research and improvement efforts that seek to better understand the roots of diagnostic error and design solutions. Strategies discussed include artificial intelligence, lessons learned initiatives, and data-tracking mechanisms.
Shryock T.
Computerized decision support and advanced computing are being used to augment various processes in health care, such as medication ordering and diagnosis. This magazine article reports on the accuracy of these systems and the potential role of artificial intelligence in supporting diagnostic decision making.
Carr S.
Clinical decision support systems are tools being used to augment clinical reasoning and diagnostic accuracy. This newsletter article explores how decision support systems and technology-enhanced consultations can best address gaps in clinician knowledge and improve decision-making behaviors.
Landro L. Wall Street Journal. November 17, 2013.
This newspaper article describes efforts to prevent diagnostic errors, including improving follow-up of abnormal test results and implementing decision support programs.
Hafner K.
This newspaper article reports on the complexity of the diagnostic process and details how clinical decision support systems combined with physicians' logic and knowledge base can prevent diagnostic errors.
Anderson HJ. Health Data Management. May 1, 2009;17:22.
This article discusses efforts to support medicine administration through various information technology techniques. It is second in a three-part series on patient safety and computerization.
Anderson HJ. Health Data Manag. 2009;17:18-20, 22, 24 passim.
Although shifting from paper-based or verbal orders to computerized physician order entry (CPOE) systems could reduce medical errors, a mere 8% of hospitals use the system and fewer implement it effectively, according to the Leapfrog Group CPOE evaluation tool.