M
Mei-Sing Ong
Researcher at Harvard University
Publications - 54
Citations - 1844
Mei-Sing Ong is an academic researcher from Harvard University. The author has contributed to research in topics: Patient safety & Health care. The author has an hindex of 19, co-authored 50 publications receiving 1434 citations. Previous affiliations of Mei-Sing Ong include University of New South Wales & Boston Children's Hospital.
Papers
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Journal ArticleDOI
Association of Immunoglobulin Levels, Infectious Risk, and Mortality With Rituximab and Hypogammaglobulinemia.
TL;DR: Monitoring routine serum immunoglobulin levels before and after rituximab therapy may help identify patients at high risk for developing infections and who may benefit from immunoglobeulin replacement therapy.
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Using FDA reports to inform a classification for health information technology safety problems.
TL;DR: Food and Drug Administration reports did prove to be a useful new source of information about the nature of software problems and their safety implications with potential to inform strategies for safe design and implementation.
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A systematic review of failures in handoff communication during intrahospital transfers.
TL;DR: There is consistent evidence on the perceived impact of communication breakdown on patient safety during intrahospital transfers and factors affecting handoff communication and the effectiveness of current interventions are examined.
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Population-Level Evidence for an Autoimmune Etiology of Epilepsy
Mei-Sing Ong,Mei-Sing Ong,Isaac S. Kohane,Isaac S. Kohane,Tianxi Cai,Mark P. Gorman,Mark P. Gorman,Kenneth D. Mandl,Kenneth D. Mandl +8 more
TL;DR: A retrospective population-based study investigating the relationship between epilepsy and several common autoimmune diseases using claims from a nationwide employer-provided health insurance plan in the United States finds the risk of epilepsy was significantly heightened among patients with autoimmune diseases.
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An analysis of computer-related patient safety incidents to inform the development of a classification
TL;DR: Analysis of patient safety incidents associated with computer use to develop the basis for a classification of problems reported by health professionals finds evidence based user interface design must focus on the safe entry and retrieval of clinical information and support users in detecting and correcting errors and malfunctions.