Improving Perfect Electronic Health Records and Integrated Health Information in China: A Case on Disease Management of Diabetes

2013 ◽  
pp. 232-243
Author(s):  
Ren Ran ◽  
Chi Zhao ◽  
XiaoGuang Xu ◽  
Guiqing Yao
Keyword(s):  
Disease Management ◽  
Electronic Health Records ◽  
Health Information ◽  
Health Records ◽  
Integrated Health ◽  
Electronic Health

Safe Use of Electronic Health Records and Health Information Technology Systems

2013 ◽  
Vol 9 (4) ◽  
pp. 177-189 ◽  
Author(s):  
Charles R. Denham ◽  
David C. Classen ◽  
Stephen J. Swenson ◽  
Michael J. Henderson ◽  
Thomas Zeltner ◽  
...  
Keyword(s):  
Information Technology ◽  
Electronic Health Records ◽  
Health Information Technology ◽  
Health Information ◽  
Health Records ◽  
Electronic Health ◽  
Technology Systems

Two Important Topics for 2012: Electronic Health Records and mHealth

2012 ◽  
Vol 47 (1) ◽  
pp. 62-63 ◽  
Author(s):  
I. Fox Brent ◽  
G. Felkey Bill
Keyword(s):  
Information Technology ◽  
Electronic Health Records ◽  
Health Information Technology ◽  
Health Information ◽  
Health It ◽  
Time And Space ◽  
Health Records ◽  
Electronic Health

As the new year begins, we like to reflect on where health information technology (IT) has been and where it is going. We are not fond of rehashing the minutia regarding every event that occurred in the health IT domain, so we will not spend our time and space presenting an exhaustive review. We will, however, touch on the continuing efforts surrounding electronic health records (EHRs). We will also focus forward in discussing an emerging area that we are closely following.

Abstract 2573: Cancer diagnoses and patient use of electronic health records: results from the health information national trends survey

2016 ◽  
Author(s):  
Alexandra J. Greenberg ◽  
Angela Falisi ◽  
Lila J. Finney Rutten ◽  
Wen-Ying Sylvia Chou ◽  
Richard P. Moser ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Health Information ◽  
Health Records ◽  
Electronic Health ◽  
National Trends ◽  
Patient Use

Electronic health record use among cancer patients: Insights from the Health Information National Trends Survey

2017 ◽  
Vol 25 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Yulia A Strekalova
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Cancer Patients ◽  
Health Information ◽  
Information Seeking ◽  
Health Record ◽  
Online Information ◽  
Health Records ◽  
Electronic Health ◽  
National Trends

Over 90% of US hospitals provide patients with access to e-copy of their health records, but the utilization of electronic health records by the US consumers remains low. Guided by the comprehensive information-seeking model, this study used data from the National Cancer Institute’s Health Information National Trends Survey 4 (Cycle 4) and examined the factors that explain the level of electronic health record use by cancer patients. Consistent with the model, individual information-seeking factors and perceptions of security and utility were associated with the frequency of electronic health record access. Specifically, higher income, prior online information seeking, interest in accessing health information online, and normative beliefs were predictive of electronic health record access. Conversely, poorer general health status and lack of health care provider encouragement to use electronic health records were associated with lower utilization rates. The current findings provide theory-based evidence that contributes to the understanding of the explanatory factors of electronic health record use and suggest future directions for research and practice.

scholarly journals The OpenDeID corpus for patient de-identification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jitendra Jonnagaddala ◽  
Aipeng Chen ◽  
Sean Batongbacal ◽  
Chandini Nekkantti
Keyword(s):  
Electronic Health Records ◽  
Health Information ◽  
Sensitive Information ◽  
Protected Health Information ◽  
Patient Privacy ◽  
Health Records ◽  
Automatic Methods ◽  
Electronic Health ◽  
Pathology Reports ◽  
Privacy And Confidentiality

AbstractFor research purposes, protected health information is often redacted from unstructured electronic health records to preserve patient privacy and confidentiality. The OpenDeID corpus is designed to assist development of automatic methods to redact sensitive information from unstructured electronic health records. We retrieved 4548 unstructured surgical pathology reports from four urban Australian hospitals. The corpus was developed by two annotators under three different experimental settings. The quality of the annotations was evaluated for each setting. Specifically, we employed serial annotations, parallel annotations, and pre-annotations. Our results suggest that the pre-annotations approach is not reliable in terms of quality when compared to the serial annotations but can drastically reduce annotation time. The OpenDeID corpus comprises 2,100 pathology reports from 1,833 cancer patients with an average of 737.49 tokens and 7.35 protected health information entities annotated per report. The overall inter annotator agreement and deviation scores are 0.9464 and 0.9726, respectively. Realistic surrogates are also generated to make the corpus suitable for distribution to other researchers.

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