2013 The random selection of participants will lead to skewed results Having a

2013 the random selection of participants will lead

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(Musmade et al., 2013). The random selection of participants will lead to skewed results. Having a natural tendency to select only those participants who are easily accessible has the potential of misrepresenting the desired population sample. This can be solved by going extra strengths to acquire participation. Even though it would be more time consuming and expensive, determining the significance of information technology in patient outcomes can be made less skewed by
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3 HEALTHCARE INFORMATION TECHNOLOGY visiting all types of facilities, especially those in low-income areas. This will lead to more accurate results that will inform healthcare appropriately. The use of patients and healthcare practitioners as participants exposes the study to great human error. To solve this conundrum, information technology is required to present more accurate information. Exploring the patients' electronic records within the systems will be imperative in enabling this. However, the information provided by the medical staff should not be disregarded completely. They can be used alongside the accurate information gathered from Healthcare IT to ensure more accurate results. Conclusion The study set out to analyze the effects or impacts of information technology on healthcare and patient outcomes. It involved a sample of 200 participants, 100 males, and 100 females. The participants consisted of patients and healthcare practitioners who were then to be interviewed to give their opinion on the impacts of healthcare IT on patient outcomes. However, there were several limitations to the study, with the main one being the issue of the legality and ethical standards of involving humans in the study. The patients and practitioners could also give
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