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Potential biases in machine learning algorithms using electronic health record data. | PSNet

psnet.ahrq.gov/issue/potential-biases-machine-learning-algorithms-using-electronic-health-record-data

June 12, 2019 - Commentary Classic Potential biases in machine learning algorithms using electronic health record data. Citation Text: Gianfrancesco MA, Tamang S, Yazdany J, et al. Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data. JAMA Intern …

The impact of computerized provider order entry on medication errors in a multispecialty group practice. | PSNet

psnet.ahrq.gov/issue/impact-computerized-provider-order-entry-medication-errors-multispecialty-group-practice

August 31, 2011 - Study The impact of computerized provider order entry on medication errors in a multispecialty group practice. Citation Text: Devine EB, Hansen RN, Wilson-Norton JL, et al. The impact of computerized provider order entry on medication errors in a multispecialty group practice. J Am Med…

Impact of introducing an electronic physiological surveillance system on hospital mortality. | PSNet

psnet.ahrq.gov/issue/impact-introducing-electronic-physiological-surveillance-system-hospital-mortality

December 19, 2018 - Study Impact of introducing an electronic physiological surveillance system on hospital mortality. Citation Text: Schmidt PE, Meredith P, Prytherch DR, et al. Impact of introducing an electronic physiological surveillance system on hospital mortality. BMJ Qual Saf. 2015;24(1):10-20. doi:…

Adverse event reviews in healthcare: what matters to patients and their family? A qualitative study exploring the perspective of patients and family. | PSNet

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March 24, 2021 - Study Adverse event reviews in healthcare: what matters to patients and their family? A qualitative study exploring the perspective of patients and family. Citation Text: McQueen JM, Gibson KR, Manson M, et al. Adverse event reviews in healthcare: what matters to patients and their famil…

Improving quality and safety of care using "technovigilance": an ethnographic case study of secondary use of data from an electronic prescribing and decision support system. | PSNet

psnet.ahrq.gov/issue/improving-quality-and-safety-care-using-technovigilance-ethnographic-case-study-secondary-use

March 05, 2014 - Study Improving quality and safety of care using "technovigilance": an ethnographic case study of secondary use of data from an electronic prescribing and decision support system. Citation Text: Dixon-Woods M, Redwood S, Leslie M, et al. Improving quality and safety of care using "techno…

Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. | PSNet

psnet.ahrq.gov/issue/effect-computerized-physician-order-entry-and-team-intervention-prevention-serious-medication

February 10, 2011 - Study Classic Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. Citation Text: Bates DW, Leape L, Cullen DJ, et al. Effect of computerized physician order entry and a team intervention on preventio…

Working conditions in primary care: physician reactions and care quality. | PSNet

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July 13, 2010 - Study Working conditions in primary care: physician reactions and care quality. Citation Text: Linzer M, Manwell LB, Williams E, et al. Working conditions in primary care: physician reactions and care quality. Ann Intern Med. 2009;151(1):28-36, W6-9. Copy Citation Format: G…

Using Safety-II and resilient healthcare principles to learn from Never Events. | PSNet

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February 20, 2019 - Study Using Safety-II and resilient healthcare principles to learn from Never Events. Citation Text: Anderson JE, Watt AJ. Using Safety-II and resilient healthcare principles to learn from Never Events. Int J Qual Health Care. 2020;32(3):196-203. doi:10.1093/intqhc/mzaa009. Copy Citati…

Types of unintended consequences related to computerized provider order entry. | PSNet

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February 18, 2011 - Study Classic Types of unintended consequences related to computerized provider order entry. Citation Text: Campbell EM, Sittig DF, Ash JS, et al. Types of unintended consequences related to computerized provider order entry. J Am Med Inform Assoc. 2006;13(5):…

Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims. | PSNet

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October 26, 2010 - Study Classic Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims. Citation Text: Gandhi TK, Kachalia A, Thomas EJ, et al. Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims. An…

The role of bias in clinical decision-making of people with serious mental illness and medical co-morbidities: a scoping review. | PSNet

psnet.ahrq.gov/issue/role-bias-clinical-decision-making-people-serious-mental-illness-and-medical-co-morbidities

November 10, 2021 - Review The role of bias in clinical decision-making of people with serious mental illness and medical co-morbidities: a scoping review. Citation Text: Crapanzano KA, Deweese S, Pham D, et al. The role of bias in clinical decision-making of people with serious mental illness and medical c…

From the randomized AMBORA trial to clinical practice: comparison of medication errors in oral antitumor therapy. | PSNet

psnet.ahrq.gov/issue/randomized-ambora-trial-clinical-practice-comparison-medication-errors-oral-antitumor-therapy

April 21, 2021 - Study From the randomized AMBORA trial to clinical practice: comparison of medication errors in oral antitumor therapy. Citation Text: Cuba L, Dürr P, Dörje F, et al. From the randomized AMBORA trial to clinical practice: comparison of medication errors in oral antitumor therapy. Clin Ph…

Patients and relatives as auditors of safe practices in oncology and hematology day hospitals. | PSNet

psnet.ahrq.gov/issue/patients-and-relatives-auditors-safe-practices-oncology-and-hematology-day-hospitals

April 22, 2020 - Study Patients and relatives as auditors of safe practices in oncology and hematology day hospitals. Citation Text: Rodrigo Rincón I, Irigoyen Aristorena I, Tirapu León B, et al. Patients and relatives as auditors of safe practices in oncology and hematology day hospitals. BMC Health Ser…

Allergy safety events in healthcare: development and application of a classification schema based on retrospective review. | PSNet

psnet.ahrq.gov/issue/allergy-safety-events-healthcare-development-and-application-classification-schema-based

December 09, 2020 - Study Allergy safety events in healthcare: development and application of a classification schema based on retrospective review. Citation Text: Phadke NA, Wickner PG, Wang L, et al. Allergy safety events in healthcare: development and application of a classification schema based on retro…

The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data. | PSNet

psnet.ahrq.gov/issue/prone-score-algorithm-predicting-doctors-risks-formal-patient-complaints-using-routinely

September 07, 2011 - Study The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data. Citation Text: Spittal MJ, Bismark M, Studdert DM. The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using …

Self-reported adherence to high reliability practices among participants in the Children's Hospitals' Solutions for Patient Safety Collaborative. | PSNet

psnet.ahrq.gov/issue/self-reported-adherence-high-reliability-practices-among-participants-childrens-hospitals

October 20, 2021 - Study Self-reported adherence to high reliability practices among participants in the Children's Hospitals' Solutions for Patient Safety Collaborative. Citation Text: Randall KH, Slovensky D, Weech-Maldonado R, et al. Self-reported adherence to high reliability practices among participan…

Primary care teams' reported actions to improve medication safety: a qualitative study with insights in high reliability organising. | PSNet

psnet.ahrq.gov/issue/primary-care-teams-reported-actions-improve-medication-safety-qualitative-study-insights-high

July 06, 2022 - Study Primary care teams' reported actions to improve medication safety: a qualitative study with insights in high reliability organising. Citation Text: Young RA, Gurses AP, Fulda KG, et al. Primary care teams’ reported actions to improve medication safety: a qualitative study with insi…

The impact of an electronic alert to reduce the risk of co-prescription of low molecular weight heparins and direct oral anticoagulants. | PSNet

psnet.ahrq.gov/issue/impact-electronic-alert-reduce-risk-co-prescription-low-molecular-weight-heparins-and-direct

August 17, 2022 - Study The impact of an electronic alert to reduce the risk of co-prescription of low molecular weight heparins and direct oral anticoagulants. Citation Text: Brown A, Cavell G, Dogra N, et al. The impact of an electronic alert to reduce the risk of co-prescription of low molecular weight…

An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. | PSNet

psnet.ahrq.gov/issue/objective-framework-evaluating-unrecognized-bias-medical-ai-models-predicting-covid-19

July 22, 2020 - Study An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. Citation Text: Estiri H, Strasser ZH, Rashidian S, et al. An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. J Am Med I…

A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. | PSNet

psnet.ahrq.gov/issue/machine-learning-based-clinical-decision-support-system-identify-prescriptions-high-risk

May 20, 2020 - Study Emerging Classic A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. Citation Text: Corny J, Rajkumar A, Martin O, et al. A machine learning–based clinical decision support system to ide…

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