Design of a Novel Multifunction Decision Support Display for Anesthesia Care: AlertWatch® OR

Abstract Background This paper describes the design of a multifunction alerting display for intraoperative anesthetic care. The design was inspired by the multifunction primary flight display used in modern aviation. Results The display retrieves live data from multiple sources; the physiologic monitors, the anesthesia information management system, the laboratory values and comorbidities from patient’s problem summary list, medical history or history & physical. This information is integrated into a display composed of readily identifiable icons of organ systems, which are color coded to signify normal range, marginal range, abnormal range (by green, yellow, red respectively) and orange outlines for comorbidities/risk factors. There are dozens of text alerts, which can be presented as black text (informational), red text (important information) and red scrolling text (highest importance information). The alerts are derived from current standards in the literature and some involve complex calculations being conducted in the background. Conclusions The goal of such a system is to improve the quality and safety of anesthetic care by providing enhanced situational awareness in a fashion analogous to the “glass cockpit” and its primary flight display which has improved aviation safety.https://deepblue.lib.umich.edu/bitstream/2027.42/142347/1/12871_2018_Article_478.pd

Validity and reliability of Turkish version of "Hospital Survey on Patient Safety Culture" and perception of patient safety in public hospitals in Turkey

<p>Abstract</p> <p>Background</p> <p>The Hospital Survey on Patient Safety Culture (HSOPS) is used to assess safety culture in many countries. Accordingly, the questionnaire has been translated into Turkish for the study of patient safety culture in Turkish hospitals. The aim of this study is threefold: to determine the validity and reliability of the translated form of HSOPS, to evaluate physicians' and nurses' perceptions of patient safety in Turkish public hospitals, and to compare finding with U.S. hospital settings.</p> <p>Methods</p> <p>Physicians and nurses working in all public hospitals in Konya, a large city in Turkey, were asked to complete a self-administrated patient safety culture survey (n = 309). Data collection was carried out using the Turkish version of HSOPS, developed by Agency for Healthcare Research and Quality (AHRQ). Data were summarized as percentages, means, and SD values. Factor analysis, correlation coefficient, Cronbach's alpha, ANOVA, and t tests were employed in statistical analyses. Items on patient safety were categorized into 10 factors. Factor loadings and internal consistencies of dimension items were high.</p> <p>Results</p> <p>Most of the scores related to dimensions, and the overall patient safety score (44%) were lower than the benchmark score. "Teamwork within hospital units" received the highest score (70%), and the lowest score belonged to the "frequency of events reported" (15%). The study revealed that more than three quarters of the physicians and nurses were not reporting errors.</p> <p>Conclusion</p> <p>The Turkish version of HSOPS was found to be valid and reliable in determining patient safety culture. This tool will be helpful in tracking improvements and in heightening awareness on patient safety culture in Turkey.</p

Adverse Event Investigation and Risk Assessment

AbstractThis chapter describes a comprehensive approach to adverse event investigation and risk assessment, as well as the characteristics of an integrated system for patient safety and clinical risk management. Drawing on evidence from other industries and healthcare organizations across the globe, the author's report how such a system can be developed with the active involvement of policy-makers, healthcare managers, health professionals, and patients. Human factors and ergonomics provide the theoretical framework in which the guiding principles, methods, and tools are selected and applied to identify, analyze, and prevent risks related to unsafe care in any healthcare setting