scholarly journals Hiding Electronic Patient Record (EPR) in medical images: A high capacity and computationally efficient technique for e-healthcare applications

2017 ◽  
Vol 73 ◽  
pp. 125-136 ◽  
Author(s):  
Nazir A. Loan ◽  
Shabir A. Parah ◽  
Javaid A. Sheikh ◽  
Jahangir A. Akhoon ◽  
Ghulam M. Bhat
Author(s):  
Mohammad Ali Kawser ◽  
Mohammad Ali Kawser ◽  
Hussain Nyeem ◽  
Hussain Nyeem

2004 ◽  
Vol 11 (6) ◽  
pp. 661-668 ◽  
Author(s):  
H. Münch ◽  
U. Engelmann ◽  
A. Schröter ◽  
H.P. Meinzer

1996 ◽  
Vol 35 (02) ◽  
pp. 108-111 ◽  
Author(s):  
F. Puerner ◽  
H. Soltanian ◽  
J. H. Hohnloser

AbstractData are presented on the use of a browsing and encoding utility to improve coded data entry for an electronic patient record system. Traditional and computerized discharge summaries were compared: during three phases of coding ICD-9 diagnoses phase I, no coding; phase II, manual coding, and phase III, computerized semiautomatic coding. Our data indicate that (1) only 50% of all diagnoses in a discharge summary are encoded manually; (2) using a computerized browsing and encoding utility this percentage may increase by 64%; (3) when forced to encode manually, users may “shift” as much as 84% of relevant diagnoses from the appropriate coding section to other sections thereby “bypassing” the need to encode, this was reduced by up to 41 % with the computerized approach, and (4) computerized encoding can improve completeness of data encoding, from 46 to 100%. We conclude that the use of a computerized browsing and encoding tool can increase data quality and the percentage of documented data. Mechanisms bypassing the need to code can be avoided.


2011 ◽  
Vol 41 (8) ◽  
pp. 575-586 ◽  
Author(s):  
Alexander C. Newsham ◽  
Colin Johnston ◽  
Geoff Hall ◽  
Michael G. Leahy ◽  
Adam B. Smith ◽  
...  

2001 ◽  
Vol 1230 ◽  
pp. 801-804
Author(s):  
J. Reponen ◽  
J. Niinimäki ◽  
T. Leinonen ◽  
J. Korpelainen ◽  
J. Oikarinen ◽  
...  

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