New Ways of Data Entry in Doctor-Patient Encounters

Author(s):  
Matthias Wenzel ◽  
Anja Perlich ◽  
Julia P. A. von Thienen ◽  
Christoph Meinel
Keyword(s):  
Author(s):  
M.F. Schmid ◽  
R. Dargahi ◽  
M. W. Tam

Electron crystallography is an emerging field for structure determination as evidenced by a number of membrane proteins that have been solved to near-atomic resolution. Advances in specimen preparation and in data acquisition with a 400kV microscope by computer controlled spot scanning mean that our ability to record electron image data will outstrip our capacity to analyze it. The computed fourier transform of these images must be processed in order to provide a direct measurement of amplitudes and phases needed for 3-D reconstruction.In anticipation of this processing bottleneck, we have written a program that incorporates a menu-and mouse-driven procedure for auto-indexing and refining the reciprocal lattice parameters in the computed transform from an image of a crystal. It is linked to subsequent steps of image processing by a system of data bases and spawned child processes; data transfer between different program modules no longer requires manual data entry. The progress of the reciprocal lattice refinement is monitored visually and quantitatively. If desired, the processing is carried through the lattice distortion correction (unbending) steps automatically.


2008 ◽  
Author(s):  
Kimberly A. Barchard ◽  
Jenna Scott ◽  
David Weintraub ◽  
Larry A. Pace
Keyword(s):  

1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.


1982 ◽  
Vol 21 (04) ◽  
pp. 181-186 ◽  
Author(s):  
M. A. A. Moussa

A drug information system (DARIS) has been created for handling reports on suspected drug reactions. The system is suitable for being run on desktop computers with a minimum of hardware requirements: 187 K read/write memory, flexible or hard disc drive and a thermal printer. The data base (DRUG) uses the QUERY and IMAGE programming capabilities for data entry and search. The data base to statistics link program (DBSTAT) enables data transfer from the data base into a file for statistical analysis and signalling suspected adverse drug reactions.The operational, medical and statistical aspects of the general population voluntary adverse drug reaction monitoring programme—recently initiated in the State of Kuwait—are described.


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.


1996 ◽  
Vol 35 (03) ◽  
pp. 261-264 ◽  
Author(s):  
T. Schromm ◽  
T. Frankewitsch ◽  
M. Giehl ◽  
F. Keller ◽  
D. Zellner

Abstract:A pharmacokinetic database was constructed that is as free of errors as possible. Pharmacokinetic parameters were derived from the literature using a text-processing system and a database system. A random data sample from each system was compared with the original literature. The estimated error frequencies using statistical methods differed significantly between the two systems. The estimated error frequency in the text-processing system was 7.2%, that in the database system 2.7%. Compared with the original values in the literature, the estimated probability of error for identical pharmacokinetic parameters recorded in both systems is 2.4% and is not significantly different from the error frequency in the database. Parallel data entry with a text-processing system and a database system is, therefore, not significantly better than structured data entry for reducing the error frequency.


2020 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Vadlan Febrian ◽  
Muhamad Rizki Ramadhan ◽  
Muhammad Faisal ◽  
Aries Saifudin

In this employee payroll application, if there is an error program there will be a loss for employees and the company. Losses for employees, if this application program error occurs then the salary reduction will experience delays due to the difficulty in the process of calculating employee salaries and employees will be late in receiving salaries. Losses for the company, if there is an error program in this application, the company will suffer losses if the employee wants a salary reduction quickly but the company cannot calculate quickly and accurately. In solving this problem, the authors use the black box testing method. Black box testing method is a test that sees the results of execution through test data and ensures the function of the software. Black box testing method has several testing techniques, namely Sample Testing, Boundary Value Analysis, Equivalence Partitions and others. From the testing techniques that have been mentioned, we use the Equivalence Partitions testing technique. Equivalence Partitions are tests that refer to data entry on the employee payroll application form, input will be tested and then put together based on the test function, both valid and invalid values. The expected results of this test are a payroll system for employees who are computerized, have standard rules in the process of developing the program so that it is easy to develop and maintain, and can minimize errors in processing salary calculations for employees.


2020 ◽  
Vol 16 (3) ◽  
Author(s):  
Subash Bhattarai ◽  
Merina Gyawali

Background: Acute pancreatitis (AP) is inflammatory process of pancreas presenting with acute abdominal pain.The majority of patients have mild disease. Some patients develop local and systemic complications with increased morbidity and mortality. This study was undertaken to describe the clinical profile and outcomes in patients with acute pancreatitis.   Methods:  A cross-sectional hospital based study comprising of 62 consecutive patients with acute pancreatitis were enrolled between Jan 2019 to August 2020. Clinical profile at admission, complications and clinical outcomes including mortality were studied. Patients were classified into mild, moderately severe and severe acute pancreatitis based on revised Atlanta classification and modified CT severity index.  Data entry was done in Statistical Packages for the Social Sciences version 20. Results: The mean age of study subjects was 44±10.87 years with 43 (56%) males and 19 (44%) females (M:F=2.1:1). The commonest etiology of pancreatitis was alcohol (53.2%) followed by biliary pancreatitis (37.1%)  The most common presentation was abdominal pain (100%). The most common complication was pancreatic necrosis (21%) followed by acute kidney injury (19.4%) and pleural effusion (17.3%). Majority( 72.6%) was mild and 17.7% had severe acute pancreatitis. Mortality was seen in 6.5% patients. Mortality was observed in patients with persistent complications, organ failure, low serum calcium and high modified CT severity index.   Conclusions: Alcohol and gallstones were the two main etiologies of acute pancreatitis and were common in males, and in middle age groups. Majority presented with mild severity. Mortality was observed in some patients with severe acute pancreatitis.   Keywords: alcohol; biliary; CT severity index; mortality; outcome; pancreatitis          


1985 ◽  
Author(s):  
D. G. Leupp ◽  
S. Kelly ◽  
D. E. Bridges
Keyword(s):  

1993 ◽  
Author(s):  
James M. Stokes
Keyword(s):  

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