The Web-based medical record system to support clinical trials

Author(s):  
I. Pavlovic ◽  
P. Kramar ◽  
S. Corovic ◽  
D. Cukjati ◽  
D. Miklavcic
2019 ◽  
Vol 13 (2) ◽  
pp. 19
Author(s):  
Tatang Saputra ◽  
Erik Kurniadi

Puskesmas is a level 1 health facility. More than 40% of Indonesia's population uses health services at the Puskesmas. It is interesting that the Puskesmas is the health care provider that is closest to the community. Recording medical records of patients at the Kuningan Health Center is still done manually. Data search has time constraints. This happens because the same data is often found. Ineffective management of medical records will become a major problem in health services at the Puskesmas. This problem must be overcome so that the puskesmas has good data and information. One way to overcome this problem is to build a computerized medical record information system. Medical Record is a compilation of facts about the health and illness of a patient. Medical Records become a very important thing in the delivery of health services. Because the importance of a medical record, the author is interested in conducting research with the title "Information Systems for Outpatient Medical Records in UPTD Puskesmas Kuningan Web-Based". The medical record information system is expected to help improve the function of the Puskesmas as a place of health care. With the existence of a medical record system, each patient visit can be taken in a database making it easier for officers in the process of finding medical record data when needed. With the database, the compilation of patients forgetting to bring a treatment card can be done by searching the patient's data by the electronic officer. Making a report will be easier because it retrieves data that is done through the request system so as to facilitate the process and minimize errors in data management.Keywords: php, mysql, medical record, outpatient


2019 ◽  
Vol 2 (2) ◽  
pp. 74-86
Author(s):  
Oiyana Caesera

Information technology is growing rapidly in the development of even all walks of life. Every development makes it easy for the public to receive information quickly. An example in the health sector is in the medical record information system. A medical record is a unit of data from facts or evidence about a patient's history, patient's condition and previous treatments, and written by medical staff who provide health services to patients. Recording medical records by recording in the patient's book is an old method used, and a problem often encountered when using the old medical record system is found to be difficult in managing patient files. This medical record will later be used by medical personnel to add or view patient health records that have been treated. In this study a medical record system was designed using the waterfall method. Waterfall is a systematic and sequential model for information system development. Therefore the researchers developed the system using the waterfall method. The purpose of this medical record information system is to design a medical record information system that can manage patient history data and monthly reports. The system designed is very important because to prevent errors in processing patient data. This application is made based on web using the programming language HTML, PHP, and MYSQL database. So as to produce a web medical record that can be used to make the most disease reports every month, and the number of monthly patient visits using the web-based waterfall method.


Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 749
Author(s):  
Gumpili Sai Prashanthi ◽  
Nareen Molugu ◽  
Priyanka Kammari ◽  
Ranganath Vadapalli ◽  
Anthony Vipin Das

India is home to 1.3 billion people. The geography and the magnitude of the population present unique challenges in the delivery of healthcare services. The implementation of electronic health records and tools for conducting predictive modeling enables opportunities to explore time series data like patient inflow to the hospital. This study aims to analyze expected outpatient visits to the tertiary eyecare network in India using datasets from a domestically developed electronic medical record system (eyeSmart™) implemented across a large multitier ophthalmology network in India. Demographic information of 3,384,157 patient visits was obtained from eyeSmart EMR from August 2010 to December 2017 across the L.V. Prasad Eye Institute network. Age, gender, date of visit and time status of the patients were selected for analysis. The datapoints for each parameter from the patient visits were modeled using the seasonal autoregressive integrated moving average (SARIMA) modeling. SARIMA (0,0,1)(0,1,7)7 provided the best fit for predicting total outpatient visits. This study describes the prediction method of forecasting outpatient visits to a large eyecare network in India. The results of our model hold the potential to be used to support the decisions of resource planning in the delivery of eyecare services to patients.


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