 Connection
Foster Goss to Electronic Health Records
This is a "connection" page, showing publications Foster Goss has written about Electronic Health Records.
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Connection Strength |
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3.547 |
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Sinaiko AD, Sloan CE, Soto MJ, Zhao O, Lin CT, Goss FR. Clinician Response to Patient Medication Prices Displayed in the Electronic Health Record. JAMA Intern Med. 2023 10 01; 183(10):1172-1175.
Score: 0.550
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Korach ZT, Gradwohl S, Messinger A, Bookman K, Cohen K, Zhou L, Goss F. Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department. Int J Med Inform. 2021 05; 149:104410.
Score: 0.458
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Goss FR, Blackley SV, Ortega CA, Kowalski LT, Landman AB, Lin CT, Meteer M, Bakes S, Gradwohl SC, Bates DW, Zhou L. A clinician survey of using speech recognition for clinical documentation in the electronic health record. Int J Med Inform. 2019 10; 130:103938.
Score: 0.412
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Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Wah Fung K, Chang FY, Bates DW, Zhou L. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 06 01; 25(6):661-669.
Score: 0.380
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Goss FR, Zhou L, Weiner SG. Incidence of speech recognition errors in the emergency department. Int J Med Inform. 2016 09; 93:70-3.
Score: 0.330
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Goss FR, Plasek JM, Lau JJ, Seger DL, Chang FY, Zhou L. An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes. AMIA Annu Symp Proc. 2014; 2014:580-8.
Score: 0.297
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Wang L, Park H, Vallamkonda S, Seger DL, Blackley SV, Garabedian PM, Goss F, Blumenthal KG, Bates DW, Murphy S, Zhou L. Dynamic reaction picklist for improving allergy reaction documentation: A usability study. Int J Med Inform. 2023 02; 170:104939.
Score: 0.130
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Varghese S, Wang L, Blackley SV, Blumenthal KG, Goss FR, Zhou L. Expanding the reaction picklist in electronic health records improves allergy documentation. J Allergy Clin Immunol Pract. 2022 10; 10(10):2768-2771.e2.
Score: 0.126
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Wang L, Blackley SV, Blumenthal KG, Yerneni S, Goss FR, Lo YC, Shah SN, Ortega CA, Korach ZT, Seger DL, Zhou L. A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record. J Am Med Inform Assoc. 2020 06 01; 27(6):917-923.
Score: 0.109
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Acker WW, Plasek JM, Blumenthal KG, Lai KH, Topaz M, Seger DL, Goss FR, Slight SP, Bates DW, Zhou L. Prevalence of food allergies and intolerances documented in electronic health records. J Allergy Clin Immunol. 2017 Dec; 140(6):1587-1591.e1.
Score: 0.089
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Zhou L, Dhopeshwarkar N, Blumenthal KG, Goss F, Topaz M, Slight SP, Bates DW. Drug allergies documented in electronic health records of a large healthcare system. Allergy. 2016 09; 71(9):1305-13.
Score: 0.082
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Topaz M, Lai K, Dhopeshwarkar N, Seger DL, Sa'adon R, Goss F, Rozenblum R, Zhou L. Clinicians' Reports in Electronic Health Records Versus Patients' Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin. Drug Saf. 2016 Mar; 39(3):241-50.
Score: 0.081
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Topaz M, Seger DL, Goss F, Lai K, Slight SP, Lau JJ, Nandigam H, Zhou L. Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents. Methods Inf Med. 2016; 55(2):151-7.
Score: 0.081
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Topaz M, Seger DL, Slight SP, Goss F, Lai K, Wickner PG, Blumenthal K, Dhopeshwarkar N, Chang F, Bates DW, Zhou L. Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience. J Am Med Inform Assoc. 2016 05; 23(3):601-8.
Score: 0.080
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Lai KH, Topaz M, Goss FR, Zhou L. Automated misspelling detection and correction in clinical free-text records. J Biomed Inform. 2015 Jun; 55:188-95.
Score: 0.077
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Shu T, Liu H, Goss FR, Yang W, Zhou L, Bates DW, Liang M. EHR adoption across China's tertiary hospitals: a cross-sectional observational study. Int J Med Inform. 2014 Feb; 83(2):113-21.
Score: 0.068
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Horng S, Goss FR, Chen RS, Nathanson LA. Prospective pilot study of a tablet computer in an Emergency Department. Int J Med Inform. 2012 May; 81(5):314-9.
Score: 0.061
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Vallamkonda S, Ortega CA, Lo YC, Blackley SV, Wang L, Seger DL, Blumenthal KG, Plasek JM, Goss F, Zhou L. Identifying and Reconciling Patients' Allergy Information Within the Electronic Health Record. Stud Health Technol Inform. 2022 Jun 06; 290:120-124.
Score: 0.031
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Yerneni S, Shah SN, Blackley SV, Ortega CA, Blumenthal KG, Goss F, Seger DL, Wickner PG, Mancini CM, Bates DW, Zhou L. Heterogeneity of Drug Allergies and Reaction Lists in Two U.S. Health Care Systems' Electronic Health Records. Appl Clin Inform. 2022 05; 13(3):741-751.
Score: 0.031
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Blackley SV, Schubert VD, Goss FR, Al Assad W, Garabedian PM, Zhou L. Physician use of speech recognition versus typing in clinical documentation: A controlled observational study. Int J Med Inform. 2020 09; 141:104178.
Score: 0.027
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Wong A, Seger DL, Lai KH, Goss FR, Blumenthal KG, Zhou L. Drug Hypersensitivity Reactions Documented in Electronic Health Records within a Large Health System. J Allergy Clin Immunol Pract. 2019 04; 7(4):1253-1260.e3.
Score: 0.025
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Cohen KB, Goss FR, Zweigenbaum P, Hunter LE. Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles. Stud Health Technol Inform. 2017; 245:346-350.
Score: 0.022
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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