Examination of an Electronic Patient Record Display Method to Protect Patient Information Privacy

2017 ◽  
Vol 35 (2) ◽  
pp. 100-108 ◽  
Author(s):  
Yukari Niimi ◽  
Katsumasa Ota
2004 ◽  
Vol 43 (05) ◽  
pp. 543-552 ◽  
Author(s):  
W. Giere

Summary Objectives: This paper must fulfill three different tasks: First, to introduce the topic “Electronic Patient Information – Pioneers and MuchMore”, second, to introduce the invited authors of the symposium, and third, to serve as the author’s academic farewell lecture as professor emeritus. Results: The electronic patient record, with all its different kinds of patient information, can be structured in many ways. Here, an historical approach is presented with a primary focus on the development of an information system for in- and outpatients in Germany, especially in Frankfurt, but also in comparison with US systems. The “Stone Age” and “Bronze Age” of patient-related computer applications started with expensive and insufficient hardware, but some years later, the first systems for patient documentation, text generation, and data acquisition could be implemented. The “iron age” and “golden age” yielded until the mid-1970s, e.g. in Oakland, Boston, Salt Lake City, and Frankfurt, quite successful Hospital Information Systems with some special emphasis on natural language processing. The following dark years were filled primarily with administrative systems, but beginning in the early 1980s, an era of enlightenment started, e.g. with rather inexpensive and easy to use PC application, broadly distributed MUMPS systems, and improved thesaurus-based text analysis. Especially in modern times, the medical text processing and classifying has been extended and successfully applied. Conclusions: Somewhat in contrast to other approaches, in the future the use of medical linguistics for the development of a successful electronic patient record should be better supported. Electronic patient information should be available wherever and whenever needed. For this, intelligent and automated reporting and controlled data exchange is necessary. The computer should do all classification, coding, and administrative work, and the physician should get all relevant information necessary for decision making.


2009 ◽  
Vol 62-64 ◽  
pp. 67-74
Author(s):  
M.O. Eyinagho ◽  
E. Solomon ◽  
T. Adeyemi ◽  
D. Ebhohimen ◽  
D. Adeniyi ◽  
...  

In this paper, a prototype of an electronic patient record management system using smart cards is described. An application using visual basic was developed, a database using Microsoft access was built, the visual-basic-based application was then interfaced to the database. An interface module that allows any person with no programming knowledge to store easily, required information on a smart card was also developed. The application was then interfaced to a smartcard reader. With this system, relevant patient information including, but not limited to allergies, blood-group, and past operations can be retrieved from the smart card.


2006 ◽  
Vol 81 (Suppl) ◽  
pp. S35-S39 ◽  
Author(s):  
Lara Varpio ◽  
Catherine F. Schryer ◽  
Pascale Lehoux ◽  
Lorelei Lingard

ASHA Leader ◽  
2011 ◽  
Vol 16 (9) ◽  
pp. 3-46
Author(s):  
Kate Romanow

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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