{"_id":{"_str":"534257990e946d920a00093e"},"__v":11,"authorIDs":["5459bfddb43425b7720009ca","545be8eab43425b77200170a"],"author_short":["Wills, M., J.","El-Gayar, O., F.","Deokar, A., V."],"bibbaseid":"wills-elgayar-deokar-evaluatingthetechnologyacceptancemodeltasktechnologyfitanduserperformanceforanelectronichealthrecordsystem-2009","bibdata":{"title":"Evaluating the technology acceptance model, task-technology fit and user performance for an electronic health record system","type":"inProceedings","year":"2009","city":"New Orleans, LA","id":"1aed6ca9-b5ff-3021-b008-37f9f57e64f0","created":"2012-05-07T22:32:25.000Z","file_attached":false,"profile_id":"9bf6e231-94e7-3ff8-af9b-dd88bf5e10ff","last_modified":"2017-03-10T08:25:11.554Z","read":false,"starred":"true","authored":"true","confirmed":"true","hidden":false,"private_publication":false,"abstract":" This paper adapts and extends the task-technology fit model of performance to the health care domain and the clinical reasoning task. Central to this effort was careful adaptation of the task and technology characteristics constructs to the clinical reasoning task and electronic health record technology. Overall the results indicate a good fit between model and data. The contributions of this study include successful adaptation of a corner-stone information systems theory to a new domain and technology, a validated user evaluation instrument able to assess the impact of EHR use on clinical reasoning performance, and new insight on the factors that impact task-technology fit and clinical reasoning performance.","bibtype":"inProceedings","author":"Wills, Matthew J and El-Gayar, Omar F. and Deokar, Amit V.","booktitle":"Proceedings of the Decision Sciences Institute 40th Annual Conference","bibtex":"@inProceedings{\n title = {Evaluating the technology acceptance model, task-technology fit and user performance for an electronic health record system},\n type = {inProceedings},\n year = {2009},\n city = {New Orleans, LA},\n id = {1aed6ca9-b5ff-3021-b008-37f9f57e64f0},\n created = {2012-05-07T22:32:25.000Z},\n file_attached = {false},\n profile_id = {9bf6e231-94e7-3ff8-af9b-dd88bf5e10ff},\n last_modified = {2017-03-10T08:25:11.554Z},\n read = {false},\n starred = {true},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = { This paper adapts and extends the task-technology fit model of performance to the health care domain and the clinical reasoning task. Central to this effort was careful adaptation of the task and technology characteristics constructs to the clinical reasoning task and electronic health record technology. Overall the results indicate a good fit between model and data. The contributions of this study include successful adaptation of a corner-stone information systems theory to a new domain and technology, a validated user evaluation instrument able to assess the impact of EHR use on clinical reasoning performance, and new insight on the factors that impact task-technology fit and clinical reasoning performance.},\n bibtype = {inProceedings},\n author = {Wills, Matthew J and El-Gayar, Omar F. and Deokar, Amit V.},\n booktitle = {Proceedings of the Decision Sciences Institute 40th Annual Conference}\n}","author_short":["Wills, M., J.","El-Gayar, O., F.","Deokar, A., V."],"bibbaseid":"wills-elgayar-deokar-evaluatingthetechnologyacceptancemodeltasktechnologyfitanduserperformanceforanelectronichealthrecordsystem-2009","role":"author","urls":{},"downloads":0},"bibtype":"inProceedings","biburl":null,"downloads":0,"keywords":["decision support","health informatics","analytics"],"search_terms":["evaluating","technology","acceptance","model","task","technology","fit","user","performance","electronic","health","record","system","wills","el-gayar","deokar"],"title":"Evaluating the technology acceptance model, task-technology fit and user performance for an electronic health record system","year":2009}