The data analysis that is used to obtain the results and the findings is quantitative analysis and the data is primary data. Primary data signifies the data that is collected first hand by the researcher, the data is not used or analyzed by anyone before4 this research was done. In the case of quantitative analysis, it means, that the data which is collected is composed of answers and responses that can be put into numerical values. This research approach is adopted in this case because, primary data will help to collect the data that 6is most required and that is most relevant ion this case. In addition quantitative data will enable the researcher to put the responses into numerical structure, and percentage and the findings can be presented in an easier way to explain the impact of the Electronic Medical Record System in Medical Administration.
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
59 |
59% |
100 |
no |
41 |
354% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
65 |
65% |
100 |
no |
35 |
35% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
60 |
60% |
100 |
no |
40 |
40% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
56 |
56% |
100 |
no |
44 |
44% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
Very well |
50 |
50% |
100 |
well |
30 |
30% |
100 |
Not very well |
20 |
20% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
65 |
65% |
100 |
no |
35 |
35% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
Very easy |
50 |
50% |
100 |
easy |
30 |
30% |
100 |
Not very easy |
20 |
20% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
63 |
63% |
100 |
no |
37 |
37% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
yes |
65 |
65% |
100 |
no |
35 |
35% |
100 |
Options |
Number of respondents |
Response percentage |
Total Respondents |
Very good |
55 |
55% |
100 |
good |
35 |
35% |
100 |
Not very good |
10 |
10% |
100 |
A detailed analysis of the above response and states that the Electronic Medical Record System has been received well by the community for whom it is meant to be used. The Doctors, nurses and the front office staffs who are intended to be the primary users of the Electronic Medical Record System have given positive review about the new system. In the first question most of the people believe that the Electronic Medical Record System will help to improve the situation and most of the respondents have responded that t6he new system will help in developing an errorless system of medical record. The manual system of electronic medical record has been historically abused of having several errors and flaws, for which many times medication errors have been found to take place which may result in serious consequences. The electronic medical records system is proved to be more advantageous over the manual record system, because there is no require to repeatedly enter the details manually, and electronically updating the existing information will solve the purpose.
56% of the respondents believe that the system meets the expectation of the medical staffs, and the level of accuracy and speed with which Electronic Medical Record System works is helpful to complete their responsibilities on time. However, the number of respondents, when asked about the ease of use of the Electronic Medical Record System, are low to say that it is “very easy to use”. Only 50 of the respondents have stated that the system is very easy to use, and 30 have stated that the system is “easy to use” and only a 20%. 55% of the total respondents have agreed that the overall experience of using the Electronic Medical Record System is “very good”. This is a positive indication that the medical community is adapting itself to using new technology in the sector of administration.
All the big medical organization are already having their own Electronic Medical Record System. However, the system that is proposed here is a higher and more advanced version of the system, which will reduce the manual part of the entry and increase automation while reducing the time require for each patient. This will help in making window for supporting more patients, and reducing flaws and errors in medication or in the treatment process. The new Electronic Medical Record System will have predictive programming which will predict the outcomes in a patient if the patients rate of improvement remain the same and the patient consume the medication properly at the same rate. Also the system will predict possible outcomes if the patient discontinues medication. This will be achieved through programming the system with historical data in such case where the patients in the past has shown similar symptoms, their medical history will be fed to the software which will help it in predicting the outcomes.
The findings of the study show a positive response towards the Electronic Medical Record System, and the medical fraternity is already accepting its advantage over the present record system which is more manual, and requires more time to maintain. The front office staff has to enter every record manually and then the record has to be handed over to the doctor who maintains his own file for keeping his records of medication, and therapy. However, in the new system it is proposed that the official identity card of the person will be scanned which will transfer all the data to the system so there is much less time required for manual entry. The doctor will not have to enter the medical records manually every time, and the digital prescription which he makes once will be calibrated within the system, and kept as the record of medication, and a notification will also be sent to the patient in his registered mobile number, the notification will also be sent to the person taki8ng care of the patient and the whole system will be digitally monitored by the expert team, who will be keeping tab on any discrepancy or mistake. If any updating is made in the prescription by the doctor the record will be again updated in the system and the patients will again get notified. The system will predict trends of health of the patient, and any improvement or deterioration.
The application of the newly developed Electronic Medical Record System will be widespread across organizations, and if possible all the Electronic Medical Record Systems can be unified and connected, so that if a patient changes the medical organization the past history of his medical condition can be reviewed.
In the new system there will be scope for treating more patients in lesser time therefore there will be window for treating more patients. It will serve a social cause by reducing the number of medical errors, and casualties caused by medical errors, which is a big problem in the medical administration today. When there will be scope for treating more patients greater number of people will be benefitted. The new Electronic Medical Record System will also be helpful for the doctors, nurses and other administrative staffs at the medical organization, by reducing their work burden and giving them more support to prescribe medicine in an errorless manner. The software will keep a tab on any mistakes that might happen, also the separate team which will be checking for discrepancies.
The application of the system will start from the administrative level, and then slowly it will be utilized even in the medicine and therapy departments. All the different departments will be then synchronized so that there is no mismatch of work in the people working towards the same objective of patient welfare. The hospitals will be shaped as a single entity and not as different and separate departments. The synchronization in various departments will help the patients to get faster service in an accurate manner, and the medical administration will be easier to maintain and perform.
Hsiao, C. J., & Hing, E. (2012). Use and characteristics of electronic health record systems among office-based physician practices, United States, 2001-2012.
Jensen, P. B., Jensen, L. J., & Brunak, S. (2012). Mining electronic health records: towards better research applications and clinical care. Nature Reviews Genetics, 13(6), 395.
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