Step 3
Running Head: IDENTIFYING THE VARIABLES 1
IDENTIFYING THE VARIABLES 2
Identifying the Variables
Identifying the Variables
Introduction
In order to achieve full implementation of Electronic Health Records, the United States settled on 2014 as the deadline for this migration to HIM in the country’s healthcare system. The government believes that switching completely to Health information Technology would minimize wastes and completely transform the country’s healthcare system. Khalifa (2013) reported that over 50% of U.S. healthcare facilities and physicians had implemented electronic health records by 2013 and this number was expected to rise to 90% by the deadline which was set to be 2014. This is the reason why it is very fundamental to examine barriers and acceptance variables to health information technology.
Problem statement
The need for thoroughly trained and experienced health care managers and HIM professionals is eminent in United States and across the world today due the rapid transformation healthcare industry to help collect healthcare raw data and analyze for purposes of making the right decisions. In this paper, I will develop a research project regarding “Barriers to Accepting Health Information Technologies” and identify both independent and dependent variables to help me develop both null and alternative hypotheses.
Step One - Part A: Identifying the Variables
This descriptive research identifies two variables which include the independent and dependent variables; therefore, the health information technology forms the independent variable while the barriers to embrace health information technology form the independent variable.
Relationship between the two variables
Increased barriers to health information technology reduce the ability of healthcare facilities to implement or embrace electronic health records/ health information technology and vice-versa.
Step One - Part B: Formulate the Hypothesis
Based on the above predicated relationship between the health information technology and barriers to embrace health information technology which are independent and dependent variables respectively, the following null and alternatives hypothesis can be developed.
H 0: A proper implementation of the health information technology is fundamental for improving access and delivery of quality healthcare services.
H 1: A proper implementation of the health information technology will not help improve access and delivery of quality healthcare services.
Research survey
The research will be conducted using 100 participants from healthcare providers working in Critical Care Unit wards. Therefore, study sample will comprise of 30 advanced practice providers and 70 physicians. I will also use qualitative questionnaires as the main method for data collection. People who the research intends to exclude include the facility administrators and housekeeping since they are not in direct contact with health information system. Moreover, application of the non-systematic review approaches will also help identify some of the barriers to health information technology. I will also use online search engines, books, journal articles and conference proceedings to find the appropriate literature for my research.
References
Christodoulakis C, Asgarian A & Easterbrook S. (2016). Barriers to Adoption of Information Technology in Healthcare. Retrieved at http://www.cs.toronto.edu/~christina/documents/ACM_CASCON2017.pdf
DePhillips III H A. (2007). Initiatives and Barriers to Adopting Health Information Technology. Retrieved at http://rdcms-himss.s3.amazonaws.com/files/production/public/HIMSSorg/Content/files/DMODePhillips.pdf
James D. B, , Mark V. S, , Kimberly A. G, , Ann M. R, , Bartholomew E. C, , Karen A. P, (2008), Examining barriers to health information technology adoption, in Grant T. Savage, Eric W. Ford (ed.) Patient Safety and Health Care Management (Advances in Health Care Management, Volume 7) Emerald Group Publishing Limited, pp.191 – 209.
Kaye R, Kokia E, Shalev V, Idar D and Chinitz D. (2010). Barriers and success factors in health information technology: A practitioner’s perspective.Journal of Management & Marketing in Healthcare.VOL. 3 NO. 2. PP 163–175. Retrieved at https://pdfs.semanticscholar.org/0260/ec03fdcbee659b044fcca51f42207137bf96.pdf
Khalifa M. (2013). Barriers to Health Information Systems and Electronic Medical Records Implementation: A Field Study of Saudi Arabian Hospital. Retrieved at https://www.researchgate.net/publication/259678954_Barriers_to_Health_Information_Systems_and_Electronic_Medical_Records_Implementation_A_Field_Study_of_Saudi_Arabian_Hospital