Categorization of Patient Diseases for Chinese Electronic Health Record Analysis: A Case Study

Author(s):  
Junmei Zhong ◽  
Xiu Yi ◽  
De Xuan ◽  
Ying Xie
2015 ◽  
Vol 23 ◽  
pp. 95-103 ◽  
Author(s):  
Dua’ Abdellatef. Nassar ◽  
Marini Othman ◽  
Jamal A. Hayajneh ◽  
Nor’ashikin Ali

2014 ◽  
Vol 21 (1) ◽  
pp. 73-88 ◽  
Author(s):  
Ofir Ben-Assuli ◽  
Itamar Shabtai ◽  
Moshe Leshno

2013 ◽  
Vol 28 (4) ◽  
pp. 383-387 ◽  
Author(s):  
Takashi Nagata ◽  
John Halamka ◽  
Shinkichi Himeno ◽  
Akihiro Himeno ◽  
Hajime Kennochi ◽  
...  

AbstractFollowing the Great East Japan Earthquake on March 11, 2011, the Japan Medical Association deployed medical disaster teams to Shinchi-town (population: approximately 8,000), which is located 50 km north of the Fukushima Daiichi nuclear power plant. The mission of the medical disaster teams sent from Fukuoka, 1,400 km south of Fukushima, was to provide medical services and staff a temporary clinic for six weeks. Fear of radiation exposure restricted the use of large medical teams and local infrastructure. Therefore, small volunteer groups and a cloud-hosted, web-based electronic health record were implemented. The mission was successfully completed by the end of May 2011. Cloud-based electronic health records deployed using a “software as a service” model worked well during the response to the large-scale disaster.NagataT, HalamkaJ, KennochiH, HimenoS, HimenoA, HashizumeM. Using a cloud-based electronic health record during disaster response: a case study in Fukushima, March 2011. Prehosp Disaster Med. 2013;28(4):1-5.


2015 ◽  
pp. 1123-1138
Author(s):  
Imran Muhammad ◽  
Say Yen Teoh ◽  
Nilmini Wickramasinghe

Healthcare systems around the globe are facing a number of challenges. Thus Increasing focus is being placed on constructing appropriate healthcare reforms which are attempting to address how to tackle these challenges. A critical enabler in these reforms is the adoption of an e-health solution. Such e-health solutions are not only expensive and complex endeavours, but also have far reaching implications. Given that the implementation and adoption of these e-health solutions is so important, not to mention also requiring a substantial investment in various resources such as time and money, it is therefore essential to ensure their success. The following proffers a socio-technical analysis as an appropriate strategy to ensure more successful outcomes. An exemplar case study of the Personally Controlled Electronic Health Record (PCEHR), the chosen e-health solution by the Australian government is provided to illustrate the benefits such an analysis might provide


2008 ◽  
Vol 66 (10) ◽  
pp. 718-728 ◽  
Author(s):  
Paula J. Edwards ◽  
Kevin P. Moloney ◽  
Julie A. Jacko ◽  
François Sainfort

BMJ ◽  
2010 ◽  
Vol 341 (nov16 1) ◽  
pp. c5814-c5814 ◽  
Author(s):  
T. Greenhalgh ◽  
S. Hinder ◽  
K. Stramer ◽  
T. Bratan ◽  
J. Russell

2017 ◽  
Vol 25 (3) ◽  
pp. 951-959 ◽  
Author(s):  
Gregor Stiglic ◽  
Primoz Kocbek ◽  
Nino Fijacko ◽  
Aziz Sheikh ◽  
Majda Pajnkihar

The increasing availability of data stored in electronic health records brings substantial opportunities for advancing patient care and population health. This is, however, fundamentally dependant on the completeness and quality of data in these electronic health records. We sought to use electronic health record data to populate a risk prediction model for identifying patients with undiagnosed type 2 diabetes mellitus. We, however, found substantial (up to 90%) amounts of missing data in some healthcare centres. Attempts at imputing for these missing data or using reduced dataset by removing incomplete records resulted in a major deterioration in the performance of the prediction model. This case study illustrates the substantial wasted opportunities resulting from incomplete records by simulation of missing and incomplete records in predictive modelling process. Government and professional bodies need to prioritise efforts to address these data shortcomings in order to ensure that electronic health record data are maximally exploited for patient and population benefit.


2017 ◽  
Vol 2017 (2) ◽  
pp. 121-137
Author(s):  
Kalyani Ankem ◽  
◽  
Vishal Uppala ◽  
Alka Dhawan ◽  
◽  
...  

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