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- Communication between Providers 24
- Culture of Safety 8
- Education and Training 11
- Error Reporting and Analysis 14
- Human Factors Engineering 23
- Legal and Policy Approaches 12
- Logistical Approaches 7
- Quality Improvement Strategies 20
- Specialization of Care 5
- Teamwork 4
- Clinical Information Systems
- Transparency and Accountability 2
- Alert fatigue 2
- Device-related Complications 3
- Diagnostic Errors 18
- Discontinuities, Gaps, and Hand-Off Problems 12
- Drug shortages 1
- Failure to rescue 1
- Identification Errors 6
- Interruptions and distractions 1
- Medical Complications 4
- Medication Errors/Preventable Adverse Drug Events 42
- Psychological and Social Complications 5
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- Transfusion Complications 1
- Internal Medicine 27
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- Health Care Executives and Administrators 65
Health Care Providers
- Nurses 4
- Pharmacists 11
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- Patients 49
Search results for "Clinical Information Systems"
- Newspaper/Magazine Article
- Clinical Information Systems
Colino S. Fam Circle. August 2019;132:66,69.
Patients and families can play a role in ensuring care is effective and safe. This news article recommends ways for patients to reduce risk of errors during a hospitalization, including using a patient portal to identify mistakes, asking questions, bringing an advocate, and working with hospitalists as key care partners.
ISMP Medication Safety Alert! Acute Care Edition. April 21, 2011;16:1-3.
This article analyzes a fatal error involving parenteral nutrition and makes recommendations to prevent such incidents.
ISMP Medication Safety Alert! Acute Care Edition. May 21, 2009;14:1-3.
This article shares results from a survey regarding look-alike or sound-alike (LASA) medication confusion and lists strategies to reduce such errors.
Langreth R. Forbes Magazine. May 11, 2009;183:40.
This article explores the benefits, potential unintended consequences, and business aspects of efforts to digitize the medical system.
Kuehn BM. JAMA. 2009;301:919-920.
In the context of the Obama administration's efforts to computerize medical records, this news story describes problems and errors that have occurred with the electronic medical records systems in Veterans Affairs hospitals.
Manic for medication safety: bar codes and drug information databases are helping to reduce medication errors.
Rogoski RR. Health Manage Technol. February 2007;28:14, 16-18.
This article discusses how various technologies have been used in the field to help prevent medication errors.
Caplan J. Time.com. January 15, 2007.
This article reports on an industry-supported initiative to reduce medication errors by encouraging physicians to use electronic prescribing through a free Web-based tool.
Rogoski RR. Health Manage Tech. August 2006;27:12-14, 16.
This article discusses several electronic database systems being used to improve patient safety.
Stires D. Fortune Magazine. May 15, 2006:130-132, 134, 136.
This article reports on the U.S. Veterans Health Administration's successful adoption of health information technology and how it has improved care.
Gehlot V, Sloane EB. Computer. April 2006;39:54-60.
The authors discuss clinical alarm systems from a technical perspective and propose a toolkit to help make complex clinical IT systems more technically reliable.
Gray R. Scotland on Sunday. January 8, 2006.
This story discusses the impact of a computer glitch in a system used by more than 80% of general practitioners in Scotland. In addition to physician notes being inadvertently attached to the wrong patient's medical record, reports suggest that some patients actually received incorrect prescriptions due to printing errors caused by the system.
ISMP Medication Safety Alert! Acute Care Edition. August 25, 2005;10:1-3.
The Institute for Safe Medication Practices (ISMP) reports on a 2005 field test that indicates many pharmacy computer systems are unable to detect potential errors. The results show no improvement in such systems since the last field test in 1999.
Panner M. Forbes. August 12, 2019.
Diagnostic errors can result in harm across the spectrum of practice. Discussing cognitive and system factors in radiology that contribute to diagnostic mistakes, this magazine article recommends ways to reduce risk of errors, including peer review of practice, structured reporting, and artificial intelligence–enabled decision support.
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.
Schulte F, Fry E. Kaiser Health News, Fortune Magazine. March 18, 2019.
Despite years of investment and government support, electronic health records (EHR) continue to face challenges as a patient safety strategy. This news article outlines the unintended consequences of EHR implementation, including patient harm linked to software glitches and user errors, fraudulent behavior (upcoding), interoperability problems, clinician burnout due to poorly designed digital health records, and lack of industry transparency.
Gawande A. New Yorker. November 12, 2018.
In this magazine article, Atul Gawande describes a range of frustrations physicians experience as digitization becomes more widespread in health care. He elaborates upon several elements of electronic health record use that can degrade care processes and create conditions for errors, such as burnout, lack of patient-centeredness, and alert fatigue.
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.
Quick Safety. October 1, 2018;(45):1-2.
This newsletter article reviews common problems related to patient identification and recommends strategies to ensure verification actions are a part of daily practice. Highlighted suggestions focus on system-level approaches that reduce the potential for incorrect patient data to be entered and proliferate, such as use of frontline confirmation processes and duplicate record monitoring. A WebM&M commentary discussed an incident involving a wrong-patient order in an electronic record system.
Burt A, Volchenboum S. Harv Bus Rev. May 8, 2018.