Publications by authors named "Erin Graydon-Baker"

Background: Fundamental changes in critical systems within hospitals present safety risks. Some threats can be identified prospectively, others are only uncovered when the system goes live. Simulation and Healthcare Failure Mode and Effect Analysis (HFMEA) can be used together to prospectively test a system without endangering patients.

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Background: The failure of providers to communicate and follow up clinically significant test results (CSTR) is an important threat to patient safety. The Massachusetts Coalition for the Prevention of Medical Errors has endorsed the creation of systems to ensure that results can be received and acknowledged.

Methods: In 2008 a task force was convened that represented clinicians, laboratories, radiology, patient safety, risk management, and information systems in a large health care network with the goals of providing recommendations and a road map for improvement in the management of CSTR and of implementing this improvement plan during the sub-force sequent five years.

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Purpose: To compare the effectiveness of two types of online learning methodologies for improving the patient-safety behaviours mandated in the Joint Commission National Patient Safety Goals (NPSG).

Methods: This randomised controlled trial was conducted in 2010 at Massachusetts General Hospital and Brigham and Women's Hospital (BWH) in Boston USA. Incoming interns were randomised to either receive an online Spaced Education (SE) programme consisting of cases and questions that reinforce over time, or a programme consisting of an online slide show followed by a quiz (SQ).

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Background: A study was conducted to examine and compare information gleaned from five different reporting systems within one institution: incident reporting, patient complaints, risk management, medical malpractice claims, and executive walk rounds. These data sources vary in the timing of the reporting (retrospective or prospective), severity of the events, and profession of the reporters.

Methods: A common methodology was developed for classifying incidents.

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Background: Incident reporting represents a key tool in safety improvement. Electronic voluntary reporting systems have been perceived as advantageous compared to paper approaches and are increasingly being implemented.

Objectives: To evaluate the rate, content, ease of use, reporters' profile, and the follow-up and actions resulting from reports submitted to a Web-based electronic reporting system.

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We designed the Pre-Admission Medication List (PAML) Builder medication reconciliation application and implemented it at two academic hospitals. We asked 1,714 users to complete a survey of their satisfaction with the application and analyzed factors associated with user efficiency. The survey was completed by 626 (36.

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Confusion about patients' medication regimens during the hospital admission and discharge process accounts for many preventable and serious medication errors. Many organizations have begun to redesign their clinical processes to address this patient safety concern. Partners HealthCare, an integrated delivery network in Boston, Massachusetts, has answered this interdisciplinary challenge by leveraging its multiple outpatient electronic medical records (EMR) and inpatient computerized provider order entry (CPOE) systems to facilitate the process of medication reconciliation.

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Unintended medication discrepancies at hospital admission and discharge potentially harm patients. Explicit medication reconciliation (MR) can prevent unintended discrepancies among care settings and is mandated by JCAHO for 2005. Enterprise-wide, we are linking pre-admission and discharge medication lists in our outpatient electronic health records (EHR) with our inpatient order entry applications (OE) - currently not interoperable - to support MR and inform the development of comprehensive MR among hospitalized patients.

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Background: As health care organizations establish patient safety agendas, attention has focused on creating less cumbersome systems for reporting errors. However, experience at Brigham and Women's Hospital (Boston) suggests that more emphasis needs to be placed on what happens after a report is submitted. FOLLOW-UP AND FEEDBACK: Follow-up includes prioritizing opportunities and actions, assigning responsibility and accountability, and implementing the action plan.

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Background: Brigham and Women's Hospital (BWH) began Patient Safety Leadership WalkRounds in January 2001; its experience, along with that of three other Partner Healthcare hospitals, is reported. COLLECTING DATA ON WALKROUNDS: Data were obtained from interviews with patient safety personnel, WalkRounds scribes, and senior leaders.

Findings: A total of 233 one-hour WalkRounds during 28 months yielded 1,433 comments--30% related to equipment, 13% to communications, 7% to pharmacy, and 6% to workforce.

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Unlabelled: CREATING A PATIENT SAFETY TEAM: In May 2001 Brigham and Women's Hospital (Boston) created the Patient Safety Team, which was incorporated into the pre-existing safety and quality infrastructure. ESTABLISHING THE PATIENT SAFETY TEAM'S GOALS AND INITIATIVES: The goal was to create the safest possible environment for patients and staff by creating a culture of safety, increasing the capacity to measure and evaluate processes, committing to change unsafe processes, and adopting new technologies. To achieve this mission, the following initiatives were established: create a culture of safety, increase event identification, improve event analysis, close the feedback loop, assess risk proactively, improve medication safety, and involve the patient.

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Background: In the WalkRounds concept, a core group, which includes the senior executives and/or vice presidents, conducts weekly visits to different areas of the hospital. The group, joined by one or two nurses in the area and other available staff, asks specific questions about adverse events or near misses and about the factors or systems issues that led to these events. ANALYSIS OF EVENTS: Events in the Walkrounds are entered into a database and classified according to the contributing factors.

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