Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory. Lalor, J, Wu, H, Chen, L, Mazor, K, & Yu, H In November, 2017. abstract bibtex In this work, we report the development of a new instrument to test patients' ability to comprehend EHR notes. Our instrument comprises of a test set of question and answer pairs that are based on the semantic content of EHR notes and selected using the psychometrics method Item Response Theory.
@inproceedings{lalor_generating_2017,
title = {Generating a {Test} of {Electronic} {Health} {Record} {Narrative} {Comprehension} with {Item} {Response} {Theory}.},
abstract = {In this work, we report the development of a new instrument to test patients' ability to comprehend EHR notes. Our instrument comprises of a test set of question and answer pairs that are based on the semantic content of EHR notes and selected using the psychometrics method Item Response Theory.},
author = {Lalor, J and Wu, H and Chen, L and Mazor, K and Yu, H},
month = nov,
year = {2017},
}
Downloads: 0
{"_id":"wcKZBoG2QPHjX4PqZ","bibbaseid":"lalor-wu-chen-mazor-yu-generatingatestofelectronichealthrecordnarrativecomprehensionwithitemresponsetheory-2017","author_short":["Lalor, J","Wu, H","Chen, L","Mazor, K","Yu, H"],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory.","abstract":"In this work, we report the development of a new instrument to test patients' ability to comprehend EHR notes. Our instrument comprises of a test set of question and answer pairs that are based on the semantic content of EHR notes and selected using the psychometrics method Item Response Theory.","author":[{"propositions":[],"lastnames":["Lalor"],"firstnames":["J"],"suffixes":[]},{"propositions":[],"lastnames":["Wu"],"firstnames":["H"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["L"],"suffixes":[]},{"propositions":[],"lastnames":["Mazor"],"firstnames":["K"],"suffixes":[]},{"propositions":[],"lastnames":["Yu"],"firstnames":["H"],"suffixes":[]}],"month":"November","year":"2017","bibtex":"@inproceedings{lalor_generating_2017,\n\ttitle = {Generating a {Test} of {Electronic} {Health} {Record} {Narrative} {Comprehension} with {Item} {Response} {Theory}.},\n\tabstract = {In this work, we report the development of a new instrument to test patients' ability to comprehend EHR notes. Our instrument comprises of a test set of question and answer pairs that are based on the semantic content of EHR notes and selected using the psychometrics method Item Response Theory.},\n\tauthor = {Lalor, J and Wu, H and Chen, L and Mazor, K and Yu, H},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n","author_short":["Lalor, J","Wu, H","Chen, L","Mazor, K","Yu, H"],"key":"lalor_generating_2017","id":"lalor_generating_2017","bibbaseid":"lalor-wu-chen-mazor-yu-generatingatestofelectronichealthrecordnarrativecomprehensionwithitemresponsetheory-2017","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"http://fenway.cs.uml.edu/papers/pubs-all.bib","dataSources":["TqaA9miSB65nRfS5H"],"keywords":[],"search_terms":["generating","test","electronic","health","record","narrative","comprehension","item","response","theory","lalor","wu","chen","mazor","yu"],"title":"Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory.","year":2017}