Publications by authors named "Yuval Bitan"

Background: The exponential growth in computing power and the increasing digitization of information have substantially advanced the machine learning (ML) research field. However, ML algorithms are often considered "black boxes," and this fosters distrust. In medical domains, in which mistakes can result in fatal outcomes, practitioners may be especially reluctant to trust ML algorithms.

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Objectives: The study aim was to create an updated valid translation into Hebrew of the AHRQ's survey on patient safety culture for hospitals, version 2.0. It also suggested a supplementary section about workers' safety.

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Background: People with memory disorders have difficulty adhering to treatments. With technological advances, it remains important to investigate the potential of health information technology (HIT) in supporting medication adherence among them.

Objectives: This review investigates the role of HIT in supporting adherence to medication and therapies among patients with memory issues.

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The Incident Commander (IC) decision-making process has previously been modeled primarily by qualitative evaluation methods, which has made it difficult to generalize an objective model. In this study, we took a quantitative approach to elucidate a decision-making model based on the "dual-process" model that consists of instantaneous decisions ("System 1") and considered decisions ("System 2") to gain new insights regarding the IC decision-making process. High-fidelity simulation data from eight mass-casualty incidents (MCIs) were analyzed in two categories.

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The poor design of conventional auditory medical alarms has contributed to alarm desensitization, and eventually, alarm fatigue in medical personnel. This study tested a novel multisensory alarm system which aims to help medical personnel better interpret and respond to alarm annunciation during periods of high cognitive load such as those found within intensive care units. We tested a multisensory alarm that combined auditory and vibrotactile cues to convey alarm type, alarm priority, and patient identity.

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This paper aims to highlight how to reduce medication errors through the implementation of human factors science to the design features of medication containers. Despite efforts to employ automation for increased safety and decreased workload, medication administration in hospital wards is still heavily dependent on human operators (pharmacists, nurses, physicians, etc.).

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Introduction: Telemedicine has been widely used in various medical settings including in Emergency Medical Services (EMS). The goal of this study was to assess the possible roles of real-time video communication between paramedics and bystanders at scenes of emergency, in the analysis and treatment of patients.

Methods: 44 experienced paramedics participated in a simulation.

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Objective: Present a collection of papers focusing on improving healthcare practice through the implementation of human factors and ergonomics principles that were presented at the International Ergonomics Association (IEA) 2021 international conference.

Background: The mission of the IEA is to elaborate and advance ergonomics science and practice and to expand its scope of application.

Method: We reviewed papers that were submitted for presentation at the IEA 2021 international conference and focused on improving healthcare practice through the implementation of human factors and ergonomics principles.

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Objective: Poor clinical data quality might affect clinical decision making and patient treatment. This study identifies quality defects in clinical data collected automatically by bedside monitoring devices in the Intensive Care Unit (ICU) and examines their effect on clinical decisions.

Methods: Real-world data collected from 7688 patients admitted to the general ICU in a tertiary referral hospital over seven years was retrospectively analyzed.

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Emergency Medical Services (EMS) in Israel was called on to vaccinate the most vulnerable population-the elderly in assisted living facilities and their caregivers. Two parameters led the operation: (1) maximum use of the scarce COVID-19 vaccine, and (2) minimizing the time it took to reach this entire population. We present the process of vaccinating 126 245 people in two weeks at 756 locations countrywide, focusing on the planning and logistics of this operation.

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Article Synopsis
  • The research aims to create a new model called Dynamic Communication Quantification (DCQ) to measure information management in emergency medical services (EMS) during mass-casualty incidents (MCIs).
  • The DCQ model was tested in MCI simulations from 2014 to 2019 and successfully identified specific factors causing information gaps, which traditional methods did not reveal.
  • By quantifying information management effectively, the DCQ model enhances training simulations for MCI team leaders, ultimately aiming to improve their performance in real-life emergency situations.
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Background: Video communications during cardiopulmonary resuscitation (CPR) can improve the quality of information exchange between a bystander performing CPR and an emergency medical dispatcher (EMD).

Objective: To improve chest compression effectiveness, a filming protocol instructing video camera placements around a patient was developed. This study measured whether the filming protocol increased chest compressions' effectiveness.

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This study investigates how the positions of paramedic equipment bags affect paramedic performance and biomechanical loads during out-of-hospital Cardiopulmonary Resuscitation (CPR). An experiment was conducted in which 12 paramedic teams (each including two paramedics) performed in-situ simulations of a cardiac-arrest scenario. CPR quality was evaluated using five standard resuscitation measures (i.

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A two phase project is described for redesigning and evaluating paramedic response bags, one of the key pieces of equipment used by emergency medical services. Adopting a user-centred approach, Phase I involved first educating active service paramedics about ergonomic principles, and then collaborating with them to conceptualise a new type of response bag, based on separate colour coded kits, each containing related equipment items. Phase II describes a formal evaluation study, involving simulated procedures with a patient mannequin and active service paramedics in a real ambulance.

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Article Synopsis
  • Studies show that vital sign monitors in ICUs have a high false alarm rate (FAR), ranging from 0.72 to 0.99.
  • The research utilized machine learning (ML) to improve the diagnosis of patient conditions by analyzing multi-sensor data, with the goal of reducing FAR even when some sensor data is missing.
  • Results indicated that a random forest (RF) model was much more effective than traditional expert-based rules (PER) in detecting ICU signals when parameters were missing, maintaining high accuracy and low FAR, while PER's performance significantly declined under similar conditions.
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Objective: To explore cognitive strategies clinicians apply while performing a medication reconciliation task, handling incomplete and conflicting information.

Background: Medication reconciliation is a method clinicians apply to find and resolve inconsistencies in patients' medications and medical conditions lists. The cognitive strategies clinicians use during reconciliation are unclear.

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Objective: Our previous study showed that the issue of drug library update delays on wireless intravenous (IV) infusion pumps of one major vendor was widespread and significant. However, the impact of such a delay was unclear. The objective of this study was to quantify the impact of pump library update delays on patient safety in terms of missed and false infusion programming alerts.

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Modern smart infusion pumps are wirelessly connected to a network server for easy data communications. The two-way communication allows uploading of infusion data and downloading of drug library updates. We have discovered significant delays in library updates.

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Purpose: Results of a study to estimate the prevalence and severity of delays in wireless updates of smart-pump drug libraries across a large group of U.S. hospitals are reported.

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Interoperability is a major challenge in current healthcare systems. It brings big hope for data exchange, but also raises some concern about patient safety. We study the wireless updating of modern infusion pumps and demonstrate the possible flaws in this process.

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Objectives: Alarm fatigue from high false alarm rate is a well described phenomenon in the intensive care unit (ICU). Progress to further reduce false alarms must employ a new strategy. Highly sensitive alarms invariably have a very high false alarm rate.

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Objectives: We report on a human factors evaluation project at a major urban teaching hospital that was intended to use human factors methods to assist the selection of a new infusion device among 4 commercially available models.

Methods: The project provided an expert evaluation of the pumps, collected data on programming each pump by a sample of practitioners, tabulated recent adverse event reports in the US Food and Drug Administration Manufacturer and User Device Experience database, and observed actual use in intensive care and hematology/oncology units.

Results: Programming by clinicians showed no correlation between clinical experience and ability to program any of the pumps under consideration.

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Operators often need to combine self-initiated and respondent actions. Two experiments dealt with the relative importance of these two types of actions as a function of the predictability of the system and the available information. Participants monitored three stations with different frequencies at which interventions were required.

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