Assessing the quality of data entry in a computerized medical records system

1988 ◽  
Vol 12 (3) ◽  
pp. 181-187 ◽  
Author(s):  
Mark R. Dambro ◽  
Barry D. Weiss
2020 ◽  
Vol 10 (1) ◽  
pp. 1-16
Author(s):  
Isaac Nyabisa Oteyo ◽  
Mary Esther Muyoka Toili

AbstractResearchers in bio-sciences are increasingly harnessing technology to improve processes that were traditionally pegged on pen-and-paper and highly manual. The pen-and-paper approach is used mainly to record and capture data from experiment sites. This method is typically slow and prone to errors. Also, bio-science research activities are often undertaken in remote and distributed locations. Timeliness and quality of data collected are essential. The manual method is slow to collect quality data and relay it in a timely manner. Capturing data manually and relaying it in real time is a daunting task. The data collected has to be associated to respective specimens (objects or plants). In this paper, we seek to improve specimen labelling and data collection guided by the following questions; (1) How can data collection in bio-science research be improved? (2) How can specimen labelling be improved in bio-science research activities? We present WebLog, an application that we prototyped to aid researchers generate specimen labels and collect data from experiment sites. We use the application to convert the object (specimen) identifiers into quick response (QR) codes and use them to label the specimens. Once a specimen label is successfully scanned, the application automatically invokes the data entry form. The collected data is immediately sent to the server in electronic form for analysis.


2008 ◽  
Vol 24 (04) ◽  
pp. 445-451 ◽  
Author(s):  
Faramarz Pourasghar ◽  
Hossein Malekafzali ◽  
Sabine Koch ◽  
Uno Fors

Objectives:Information technology is a rapidly expanding branch of science which has affected other sciences. One example of using information technology in medicine is the Electronic Medical Records system. One medical university in Iran decided to introduce such system in its hospital. This study was designed to identify the factors which influence the quality of medical documentation when paper-based records are replaced with electronic records.Methods:A set of 300 electronic medical records was randomly selected and evaluated against eleven checklists in terms of documentation of medical information, availability, accuracy and ease of use. To get the opinion of the care-providers on the electronic medical records system, ten physicians and ten nurses were interviewed by using of semi-structured guidelines. The results were also compared with a prior study with 300 paper-based medical records.Results:The quality of documentation of the medical records was improved in areas where nurses were involved, but those parts which needed physicians' involvement were actually worse. High workloads, shortage of bedside hardware and lack of software features were prominent influential factors in the quality of documentation. The results also indicate that the retrieval of information from the electronic medical records is easier and faster, especially in emergency situations.Conclusions:The electronic medical records system can be a good substitute for the paper-based medical records system. However, according to this study, some factors such as low physician acceptance of the electronic medical record system, lack of administrative mechanisms (for instance supervision, neglecting physicians and/or nurses in the development and implementation phases and also continuous training), availability of hardware as well as lack of specific software features can negatively affect transition from a paper-based system to an electronic system.


2020 ◽  
Vol 26 (2) ◽  
pp. 1-13
Author(s):  
Ekhlas Abu Sharikh ◽  
Rifat Shannak ◽  
Taghrid Suifan ◽  
Omar Ayaad

Background/aims Electronic medical records are the most common E-health application and they are starting to be implemented worldwide. In Jordan, the introduction of electronic medical records helps to improve quality and reduce service costs. This article aimed to examine how the implementation of electronic medical records impacted health service quality in Jordan. Methods A cross-sectional study was conducted in Jordanian hospitals that used electronic medical records. The data were collected using a self-administered questionnaire, which 582 healthcare professionals returned. The Statistical Package for Social Sciences was used to perform descriptive and statistical analyses. Results The results showed that there was a statistically significant impact when using electronic medical records. These findings were divided into two categories: function (practice management, communication, documentation or data entry, and medication management) and on the quality of services (reliability, responsiveness, assurance, and empathy). Conclusions The research indicated that using electronic medical records improved the quality of health services.


2007 ◽  
Vol 149 (9) ◽  
pp. 903-909 ◽  
Author(s):  
L. Beretta ◽  
V. Aldrovandi ◽  
E. Grandi ◽  
G. Citerio ◽  
N. Stocchetti

1986 ◽  
Vol 25 (03) ◽  
pp. 151-157 ◽  
Author(s):  
L. E. Garrett ◽  
W. E. Hammond ◽  
W. W. Stead

SummaryTo study the effect of computerized medical records on the efficiency of providers and the quality of care, 245 patient visits were randomly assigned to manual (134 visits) or computerized (111 visits) records during the implementation of a comprehensive medical information system, TMR, in the renal clinic of the Durham VA Medical Center. Data were collected on the time required for the providers to perform their various functions in the clinic. With the exception of prescription writing, the computerized records resulted in significant reductions in the time required for the physicians to obtain data from and enter data into the record (p <0.01). A similar time reduction was noted for the nursing pre-interview (p <0.001) when the computerized records were employed. With the inclusion of the time required for clerical computer data entry, no overall difference in person hours per visit was noted. The clinician’s utilization of the recorded data was significantly better (p <0.001) for the computerized records. Significant reductions in medication errors were also noted (p <0.01).


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