Data Collection and Improving the Mayo Clinic
The Mayo Clinic is one of the best and most respected medical institutions in the world. However, even an organization at the forefront of the healthcare industry must remain always in a state of improvement. In order to do so, an organization must conduct meaningful and empirical research regarding its own capabilities and performance. This requires the use of the appropriate modes of data collection and implementation of instructive data presentation tools. The discussion here below considers the need for the Mayo Clinic to help improve the scale of private investments that it helps draw to its home state and to improve the ability of other healthcare institutions to replicate its successful model.
Areas of improvement:
The Mayo Clinic has an inextricable relationship with its home state of Minnesota. As such, it has long been a creator of jobs in the region, a destination for national and international conferences and a highly sought after treatment facility for patients the world over. For these reasons, the clinic is calling for the state of Minnesota to provide $600 million in subsidies for improving the Clinic and for helping it to advance its already considerable capabilities and resources.
These subsidies would help Mayo to sustain the cost of the current improvement package in place. According to the article by Carlson, "Mayo pledged last year to spend $3.5 billion to improve its flagship health center in Rochester and a set of developments now known collectively as the Destination Medical Center project. Last week, the system said it would also bring at least $2.1 billion in private investments from other sources to improve entertainment, lodging and tourism options in the city of 100,000 people." (Carlson, p. 1)
This denotes a necessity to conduct informative research on the types of private investments that might be most compelling to the state. In order to make its case for subsidy from the state, the Mayo Clinic would be well-served to gather data on the best private investment opportunities to court for the state and its surrounding community....
Data Collection, Analysis, And Measurement Elements Identify data collection, analysis, measurement elements studies. Limit box sentences attached document. 1. Accuracy reliability instruments 2. Statistical analytic methods Note. Not studies elements, element addressed. Data Collection Elements Observation method This method is used concurrently with quantitative methods but, it is said to be comparatively entailing. As a method of gathering information, it gathers more information and has a validating aspect that these other methods lack. By
Data Collection Tool Part Four Design a data collection tool aggregate population. Make tool elements: Demographics --, birth date, ethnicity, sex, education level, the questions created Part One feel apply Two additional questions consistent goals Healthy People 2020 Data reliable sources answer questions asked (MY aggregate population Hispanic Gay population Jackson Heights, NY. Data collection tool: Structured interview Demographics What is your name? When you were born? Were you born in the U.S. How do you
This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <
Data Collection in the Field of Human Services In the history of science and research, collecting data has always been based on empiricism. Collecting information that can be easily verifiable and validated, through means that are repeatable and information based on scientific experiments. In the field of Human Services information is collected in many different ways such as observation, questionnaire, longitudinal studies and other methods of collecting data that are newer
Data collection and analyses are important processes in research because of their role in determine research findings. The collection of data can simply be described as the process of gathering information in order to capture quality evidence that is in turn used for data analysis. On the other hand, data analysis entails measuring the collected information on variables of interest in order to develop a convincing and reliable answer to
446). Again, since data collection methods are relevant to specific research studies based on their questions, hypotheses, and literature reviews, this funneling of "phenomena of interest" should ideally suit most research studies -- so long as the those methods are tailored to meet a particular study. When researchers have narrowed down certain characteristics or behaviors that they are looking to observe in their study, they can do with a
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now