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Medicine

outreach, effectiveness, professional advancement, and awareness of telemedicine

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outreach, effectiveness, professional advancement, and awareness of telemedicine

Research design

The purpose of the research was to analyze the outreach, effectiveness, professional advancement, and awareness of telemedicine. It will also analyze how telemedicine impacts the healthcare industry for patients in long term care facilities.

Fieldwork

All four members were involved in the fieldwork, and each was assigned their duty. Our sample was N=50; hence we had a lot of survey data to collect. The survey was used as a means of collecting data from the sample.

Monica Abel was responsible for data collection. The process involved collecting data form the sample. The data collected entailed demographic questions on the impact of telemedicine on healthcare form a quality perspective. The sample gave their responses to the question presented in the questionnaire. The questions were on whether the cost-effectiveness of telemedicine has an impact on whether they would use it or not. The other question was on the level of awareness of telemedicine. Monica ensured that data from all the 50 participants were collected and that each sample got treated equally.

 

Jessica was involved in the cleaning of the data and putting it in excel. The primary role was to precisely sort and edited the data findings in excel. The data was placed in tables and charts for easy analysis of the data collected. Jessica also ensures that the data collected from the samples was kept anonymous and secured to ensure no unauthorized individual could access it. The data was also held in a central place to ensure easy accessibility and security. Jessica also ensures that the data in the tables were easy to interpret and that they were accurate. After the data was in tables and graphs, she ensured that there were duplicates of information or any other errors in the data collected. She was involved in the cleaning process so that the analysis of the data was accurate and non-biased.

Diana Alzola and Elma Lopez were involved in the analysis of the data collected. After the data got put in excel, we got involved in ensuring that the data was well interpreted and that it reflected a true opinion of the population. We analyzed the data in the tables and charts and giving a clear meaning of what the data meant. We made sure that our analysis was not biased and that it reflected the data that feed in excel. We also had a descriptive statistic while entailed the mean and median of the data collected. By determining the mean, it acted as an interpretation of the sample data.

All the team member participated in the study each play a specific role. We ensure that each played their role effectively to avoid giving misleading information because of an error made. We ensured that the process of data collection, data cleaning, and data analysis got done in an accurate and timely manner. All the data that was collected was put in a secure place to ensure no unauthorized individual could access it. Charts and graphs were also used as a method of ensuring that the collected data could easily be analyses. We also ensure that all the participant information kept confidential by making the sample data anonymous.

References nn

 

Arun, V., Shyam, V., & Padma, S. K. (2015). Privacy of health information in telemedicine on

the private cloud. International journal on Family Medicine and Medical Science Research,

4(189), 2.

Bashshur, R. L. (2002). Chapter 1: Telemedicine and Health Care. Telemedicine Journal and e-

Health, 8(1), 5–12. don: 10.1089/15305620252933365

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