Data Collection
The process of collecting data will entail, the activity of gathering of data which is converted to information ,this is to obtain the desirable variables which will be effectively used to give solution to the research topic on the effect of poor technology infrastructure on the storage of information (John 2016).
The data collected will however be used to analyze and in evaluation of the challenges associated with poor storage of health records as a result of poor technology adopted in various medical institution.
Below are the various sources of information of the data for this research.
During the research period the required information is obtained from various sources, however the sources include the primary, secondary or the triangulations.
The primary source of information entails the collecting the data through the conduction of experiments, conductions of surveys or even through the personal observations.
The secondary source of information will entails the collection of data from other sources which includes the journals or other secondary sources of information which can be in electronic form (Michael 2011).
The triangulation format will entail collection of data where the both the secondary source and primary source is used however the below are some examples of the primary and secondary sources of information:
This is the information gathered by the researcher directly from source.
- interviewing
- observations
- conducting the research
- cases studying
- narrations
- Use of questionnaire.
This is the data obtained from other existing sources of data.
- Earlier researches.
- Officials statistic
- Mass media products
- Diary records
- Referenced letters
- Report form Government’s records
- From the websites.
- Data from the history archives.
During the process of collecting the data I found it most appropriate to use the primary source of information, this will enable one get most appropriate and original form of information ,however the method used was through administration of use of secondary sources ,questionnaires and use of observations. Below is the record of the required sources of information.
Data sources name |
Source organization |
Data description |
Data file format |
URL(if available online) |
Charge fee |
Target data source |
Data 1 |
St Andrew’s Hospital |
Research surveys |
MS excel |
N/A |
$5000 |
yes |
Data2 |
From interviews |
Conducting interviews |
MS excel |
N/A |
$3000 |
no |
The collected data from the various sources which I identified as source one and source two was records in the Microsoft office excel, this will be recorded in the form of columns and rows of the data, however the choice of the excel software is to ensure that the data will be easily analyzed to be able to obtain the desirable output after conducting the necessary analysis.
The table below shows the various files where the data collected and obtained is stored which is later used for analysis purpose.
Data source name |
Date of collection |
Saved file location |
Saved file name |
No. of data records |
|
Data1 |
20/5/2015 |
“raw data” |
Healthrecord.xlsx |
excel |
20 |
Data2 |
1/7/2017 |
“raw data” |
Healthdata. xlsx |
excel |
20 |
During the stage of data processing the various activities are used which includes validating data which ensures the correctness and relevance of the corrected data ,however the summarization of data is also done in order to ensure that the data is summarized where main points only are taken and used (Kathy 2016).
Primary and Secondary Sources of Data Collection
Then the process will then involve selection of the most preferable source of data where the data will be analyzed to give the required information, however for this process the data 2 will be used to give the analytical data ,the data used was made of three major columns as described in the below tables (Norman 2015).
The selected data2 is now used to conduct the analysis, however before analysis there will be some features that will be eliminated to ensure that the data is easy to understand and analyze, this will only be achieved by elimination of some less relevant columns as described in the table below (Steinar 2014).
The resulting files are then saved in different format file which will eventual be used for analyzing the data ,below is a table recording the number of columns used in each set of data (Matthew 2015).
Date |
Data source name |
Purpose of pre-processing |
pre-processing method |
No.original data record |
No.result data records |
No.original features |
No. Result features |
New data file name |
2/7/2017 |
Data1 |
Eliminating un-realistic data |
Deleting wrong values |
24 |
23 |
5 |
5 |
Data1_preprocessing.xlsx |
3/7/2017 |
Data1 |
Selection of columns |
Setting the relevant analysis columns |
24 |
23 |
5 |
2 |
Data1_featurecolumns.xlsx |
4/7/2017 |
Data2 |
Eliminating un-realistic data |
Deleting wrong values |
24 |
24 |
5 |
5 |
Data2_preprocessing.xlsx |
5/7/2017 |
Data2 |
Selection of columns |
Setting the relevant analysis columns |
24 |
24 |
5 |
2 |
Data2_featurecolumns.xlsx |
The experiment is now designed according to the type of the data obtained this is ideally going to be achieved through the process of data analysis where the most appropriate tool will be the use of the excel sheet, this will allow description of the results in terms of percentages and the graphically the table below illustrates the experiments conducted.
Date |
Experiment |
Purpose of experiment |
Description of procedure |
Input data |
Expected output |
Result file name |
7/7/2017 |
Experiment1 |
Evaluating the solution |
-Data is keyed in. -Then data is analyzed and graphs drawn |
The input data is Mode of data storage , Ever lost data, Never lost data |
The number of manual data storage is lost compared to the computer stored data |
Experimentoutput1.xlsx |
8/7/2017 |
Experiment2 |
Evaluating the solution |
-Data is keyed in. -Then analysis of and plotting of graphs |
The input data is Means of data storage ,Risk of data loss ,No Risk of data loss |
The number of manual data storage is lost compared to the computer stored data |
Experimentoutput2.xlsx |
The experiments is going to be implemented through the use of the Microsoft excel software, however this will be done by analyzing the data summarized and generating the graphs and diagrams accordingly (Barney 2015).
During the research there were the set expectations of the resulting of the analysis of the experiments ,this experiments conducted is expected to deriver the viable result where the proportion of the failures in various health care centers where the hospitals where they lack computerized systems for data storage are at highly risked to lose their data and therefore the hospitals management tend to lose more patients data and therefore the patients records are not easily tracked (Johnny 2015).
However as per my expectation the organizations with manual systems have the following results in regard to chances of data loss (Gary 2016).
Mode of data storage |
Percentage of data loss |
Percentage of not losing data |
Computerized |
2.5% |
97.5% |
Un-computerized |
56% |
44% |
(Robert 2015)
After the analysis of the data through the experiments the following is the results analysis as compared to the expected results the where the data1 and data2 was used (Wayne 2016).
The table below shows the summary of the expected results and the final results.
Expected results |
Obtained final results |
|||
Mode of data storage |
Percentage of data loss |
Percentage of not losing data |
Percentage of data loss |
Percentage of not losing data |
Computerized |
2.5% |
97.5% |
17% |
83% |
Un-computerized |
56% |
44% |
9% |
91% |
Reference
John W.(2013) Research Design: Qualitative, Quantitative,1st edn. Oxford: Oxford University Press
Wayne C.(2016)The Craft of Research,2nd edn Virginia: University Press of Virginia
Robert K.(2015) Case Study Research: Design and Methods (Applied Social Research Methods).1st edn
London: Dover Publications.
Johnny, S.(2015) The Coding Manual for Qualitative Researchers.3rd edn London: Smiths.
Gary K.(2016) Designing Social Inquiry: Scientific Inference in Qualitative Research.2nd edn. London:
British Medical Association.
Barney G.(2015) The Discovery of Grounded Theory: Strategies for Qualitative Research,2nd edn Virginia:
University Press of Virginia
Steinar K.(2014) Interviews: Learning the Craft of Qualitative Research Interviewing, 1st edn. Oxford:
Oxford University Press
Matthew B.(2015) Qualitative Data Analysis.2nd edn. London: British
Medical Association.
Norman K.(2015) The SAGE Handbook of Qualitative Research.3rd edn London:
Smiths.
Kathy C.(2016) Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. 1st edn.
Oxford: Oxford University Press
Michael Q.(2011)Qualitative Research & Evaluation Methods.2nd edn Virginia: University
Press of Virginia
John W.(2016) Designing and Conducting Mixed Methods Research. 3rd edn London: Smiths.