...Uses of Statistical Information HCS/438 October25, 2010 Ray Harvey Uses of Statistical Information Statistics are an important part of any company or organization. Statistics can be used to measure just about anything within a company. Any chosen topic within an organization could have a statistical study done. Specific people within an organization are those that do the studies and post results of the statistics to inform other people within the organization. I work for a hospice organization that is non-profit and I am sure that they are constantly doing studies and tracking statistics of the patients and families that we provide care for daily. This paper will show some possible ways that this hospice organization can use descriptive and inferential statistics. Descriptive Statistics Descriptive statistics is using graphs to describe raw data from research and studies (Bennett, Briggs,& Triola, 2009). One area that we use descriptive statistics and that I can look at deals with patient and family satisfaction. Hospice surveys the patients and the patient’s families that we have taken care of and obtains feedback about the experience they had with hospice. Oftentimes this information comes from the family members because the patients usually pass away before we get this information. This is done with each home care and each inpatient unit that we have. The company takes the feedback for three months and comes up with the mean for those three months to let us know...
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...Uses of Statistical Information Statistics are used throughout nursing daily, between evidence-based research and patient care. Quality improvement based statistics are done by using software such as IBM SPSS Statistics. Continuous quality improvement plans involve patient and staff satisfaction and safety protocols (such as the use of restraints and number of patient falls). Statistics are also used to determine how many cases of particular diseases there are in the hospital, to estimate incidence and prevalence and number of deaths in the hospital. Each unit is thorough with evaluating outcomes by performing a pre-test, audit on the charts, and a post-test along with another audit. Statistics Used Descriptive statistics are used in the workplace to describe and share specific data to get information, but not draw any conclusions. According to Bennett, Briggs, and Triola (2009), "descriptive statistics deals with describing raw data in the form of graphics and sample statistics" (p. 7). Some examples of descriptive study currently in place in a variety of areas are emergency room wait times, the number of homeless veterans being cared for and numbers of readmissions in the hospital. Wait times for the emergency room are averaged through the computer system from the time the patient checks into the time the patient is seen. The information collected is the age and ethnicity of the individual, and the amount of time spent waiting for care. This information is used within the...
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...Uses of Statistical Information Donna Ballard, RN University of Phoenix HCS/438 Statistics Betty Jones, RN July 7, 2015 Statistics is defined as “the science of collecting, organizing, and interpreting data” (Bennett, Briggs, & Triola, 2009). Statistics can be utilized in many ways within an organization such as acute care also referred to as hospitals. Each facility has a specific department identified as infection prevention or infection control. Infection control/prevention uses research and statistics to facilitate standardized care by implementing best practice measures through evidenced based practice. “Statistical information that is gathered is then used to help compare present and past performance, as a guide for planning future development, appraisal of work performed by healthcare staff, hospital or clinic finding, and research ( International Federation of Health Information Management Associations, 2012). The purpose of this assignment is to identify how statistics are utilized within the infection control and prevention department at Sierra View Medical Center, identify one example of descriptive statistics, identify one example of inferential statistics, explain data at each of the four levels of measurement and describe the advantages of accurate interpretation of statistical information to improve decision making. The purpose of infection prevention and control is to put into place policies and procedures that minimize the spread of infections...
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...There are so many forms of data used where I work, that it is practically one way of describing what it is we do. Nursing and operating a hospital are so full of different uses of data that it is a challenge to break them down into individual uses. There is data used for budgeting, staffing, and supplies. Data is collected on demographics of the patient population. Data is measured constantly in patients; vital signs, lab values, and measurements of all sorts. We also conduct clinical trials in vast numbers collecting data on efficacy, treatment variation, modalities, and outcomes. 2. One example of descriptive statistics we use in our work place is yearly charts depicting prevalence of falls hospital wide. These charts are shown in a number of ways and are divided by unit so that each unit can be compared one with the other. Additionally, they have charts showing the yearly trends by unit and hospital-wide. They get fairly detailed on some of them showing specific categories of fall occurrence, for example; assisted vs. unassisted; Falls due to toileting; falls by time of day; falls by assessed risk category. This practice is highly effective and allows everyone to see where, when, and how falls are occurring. It also provides insight into how to go about reducing the instances. 3. Where I work we do use inferential statistics, in fact we apply it a lot. We administer chemotherapy and study its effects. We collect data from sample populations (trials) and based on the analysis...
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...the requests are forwarded to the managed care service contractor. We also monitor referral patterns, and identify trends relating to network leakage, network care recapture, continuity of care, and customer satisfaction. I work with a team of nurses who don’t work under a clinical directorate. We work under the business directorate. I help to decrease the government’s spending at my facility in particular, on healthcare costs and help to generate revenue in our facility. When purchased care costs are down, our revenue is up. If we see an opportunity to generate revenue in other ways we approach the directorate of business operations to see if we can implement a new plan. Descriptive Statistics According to "Basic Statistical Concepts for Nurses" (2011), “Descriptive statistics are techniques which help the investigator to organize, summarize and describe measures of a sample. Here no predictions or inferences are made regarding population parameters. Descriptive statistics are used to summarize observations and to place these observations within context. The most common descriptive statistics include measures of central tendency and measures of variability” (Descriptive Statistics). An example of descriptive statistics at my workplace occurs when we collect data to identify trends in care being redirected to the purchased...
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...Provide Information to support Decision Making This article talks about an important subject in relation to our class which is the role or the usage of information in decision making. In this article, the author talked about the importance of having such an effective system to obtain, analyze and communicate information to support and take decisions, so decision will be taken based on qualitative and quantitative information. The author also touched on how information collecting is time and resources consuming. Thus, the author concern was how to get over this obstacle by introducing an effective ways to collect, record, analyze and communicate information. Frist, Obtaining information, when deciding on which information to obtain, the author encourages to first use the information available to your organization, such as financial, statistical, personal records and internal auditing or monitoring. On the other hand obtaining information from outside of an organization and the author gave some ideas on how to do that effectively. Some of which are; using commission for social inspection (CSCI) reports or any other specialty commissioned research. Another way would be collecting information form service’s users or customers and in terms of collecting information from users, we will have two type of information; quantitative that provide statistical data, and qualitative information that most of the time provide information on how satisfied...
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...Statistical data as we have seen can be either primary or secondary. Primary data are those which are collected for the first time and so are in crude form. But secondary data are those which have already been collected. Primary data are always collected from the source. It is collected either by the investigator himself or through his agents. There are different methods of collecting primary data. Each method has its relative merits and demerits. The investigator has to choose a particular method to collect the information. The choice to a large extent depends on the preliminaries to data collection some of the commonly used methods are discussed below. 1. Direct Personal observation: This is a very general method of collecting primary data. Here the investigator directly contacts the informants, solicits their cooperation and enumerates the data. The information are collected by direct personal interviews. The novelty of this method is its simplicity. It is neither difficult for the enumerator nor the informants. Because both are present at the spot of data collection. This method provides most accurate information as the investigator collects them personally. But as the investigator alone is involved in the process, his personal bias may influence the accuracy of the data. So it is necessary that the investigator should be honest, unbiased and experienced. In such cases the data collected may be fairly accurate. However, the method is quite costly and time-consuming. So...
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...into Information What is Data? What is information? Data is facts; numbers; statistics; readings from a device or machine. It depends on what the context is. Data is what is used to make up information. Information could be considered to be the same characteristics I just described as data. In the context of transforming data into information, you could assume data is needed to produce information. So information there for is the meaningful translation of a set of or clusters of data that’s produces an output of meaningful information. So data is a bunch of meaningless pieces of information that needs to be composed; analyzed; formed; and so forth to form a meaningful piece of information. Transforming Data Let’s pick a context such as computer programming. You need pieces of data to be structured and formed into something that will result in an output of something; a message, a graph, or a process, in which a machine can perform some sort of action. Well now we could say that information is used to make a product, make a computer produce something, or present statistical information. That would be the output of that data. The data would be numbers, words, or symbols. The information would be a message, a graph, or a process, in which a machine can perform some sort of action. Information Information could be looked at as data as well. Let’s say we need a chart showing the cost of a business expenses in relation to employee salaries. The data for showing the information is...
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...Today we live in a world where data is a critical resource. Information is also a critical resource and consists of data that is processed into meaningful information for the purpose of organizations and users. Collected data is stored into what is known as databases where it is organized into potentially valuable information.Data also known as Raw data is a stream of facts that are not organized or arranged into a form that people can understand or use (Gillenson, Ponniah, Kriegel, Trukhnov, Taylor, Powell, & Miller, 2008) . Raw Data are facts that have not yet been processed to reveal their meaning (Gillenson, Ponniah, Kriegel, Trukhnov, Taylor, Powell, & Miller, 2008). For example when AT&T wireless ask their clients to participate in a survey about theproducts they have purchased or how was their customer service experience the data collected is useful but not until the raw data isorganized by combining it with other similar data and analyzed into meaningful information. Information is the result of processing raw data to reveal its meaning (Coronel, Morris, & Rob,2010). Data processing can be as simple as organizing data to reveal patterns or as complex as making forecasts or drawing inferences using statistical modeling (Gillenson, Ponniah, Kriegel, Trukhnov, Taylor, Powell, & Miller, 2008).Both data and information are types of knowledge which share similarities in the fact that each are used to draw a conclusion for a specific purpose. Data is gathered by...
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...Data and Information Summary HCI/520 11/18/2013 Data and Information Summary Today we live in a world where data is a critical resource. Information is also a critical resource and consists of data that is processed into meaningful information for the purpose of organizations and users. Collected data is stored into what is known as databases where it is organized into potentially valuable information. Data also known as Raw data is a stream of facts that are not organized or arranged into a form that people can understand or use (Gillenson, Ponniah, Kriegel, Trukhnov, Taylor, Powell, & Miller, 2008) . Raw Data are facts that have not yet been processed to reveal their meaning (Gillenson, Ponniah, Kriegel, Trukhnov, Taylor, Powell, & Miller, 2008). For example when AT&T wireless ask their clients to participate in a survey about the products they have purchased or how was their customer service experience the data collected is useful but not until the raw data is organized by combining it with other similar data and analyzed into meaningful information. Information is the result of processing raw data to reveal its meaning (Coronel, Morris, & Rob, 2010). Data processing can be as simple as organizing data to reveal patterns or as complex as making forecasts or drawing inferences using statistical modeling (Gillenson, Ponniah, Kriegel, Trukhnov, Taylor, Powell, & Miller, 2008). Both data and information are types of knowledge which share similarities...
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...DE1Y 35 Business Information Management February 2006 © SQA Business Information Management DE1Y 35 Acknowledgements Grateful thanks are expressed to COLEG for permission to use extracts throughout the material from the former Business Information Management pack (HN Unit Number A6GF 04), developed by Falkirk College. This permission has been received in writing and is given for inclusion in this publication and for use by COLEG member colleges. © Scottish Qualifications Authority – Material developed by Cardonald College. This publication is licensed by SQA to COLEG for use by Scotland’s colleges as commissioned materials under the terms and conditions of COLEG’s Intellectual Property Rights document, September 2004. No part of this publication may be reproduced without the prior written consent of COLEG and SQA. © SQA Version 1 2 Developed by COLEG Business Information Management DE1Y 35 Contents Acknowledgements Contents Introduction to the unit What this unit is about Outcomes Unit structure How to use these learning materials Symbols used in this unit Other resources required Assessment information How you will be assessed When and where you will be assessed What you have to achieve Opportunities for reassessment Section 1: The role of information in business Introduction to this section Assessment information for this section What is information? The nature of information Types of information Internal uses of information External use Uses...
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...February 2010 focuses on data collections within developing countries such as Africa that is experiencing an high rate of necrotizing enter colitis. Through the uses of statistical data and analysis the article also provides information on the long-term prospect of the disease and whether or not it is lacking in developing countries. The article focuses on data which is collected by South Africa during the pre human immunodeficiency virus era. The focus of this paper is to provide information on the statistical procedure and the statistical significance of the study. Statistical Procedures The statistical procedures within this research article began with what is known as a cohort. A cohort is a group of subjects, which shares a particular experience during a specific time span. During this research article the focus is mainly within a specific cohort of premature infants born in South Africa between the years of 1992 and 1995. The study expresses the mean values and how the data ranges throughout the article. For example the mean within the article is known as the gestational age of the cohort, which is 32 weeks gestation. The range for gestational ages is from 22 weeks gestation to 40 weeks gestation. The t test is also a part of this research article, and it evaluates ongoing variables for statistical significance. The cohorts within this study consist of 128 subjects, which is not considered as small test group. The research article reveals that out of 128 premature...
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...a final project. Please consult the Course Calendar for the due date. Project Description Statistics is about more than calculations. It is about turning data into information and using this information to understand the population. A statistician will be asked to help solve real world problems by designing a study, collecting data, analyzing the data, and writing up the results. As a final project, you will be asked to do something similar. Though the design and data collection will be done for you, you will be asked to analyze the data using the appropriate tests (ensuring the data are distributed normally) and write up the results, using statistical evidence to support your findings. Lastly, you will be asked to include recommendations, that is, apply the results to solve the real world problem. In your paper, explain why you chose each statistical test, figure, or procedure. The problem: Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below: Show Size Height Gender 5.00 63.00 Female 7.50 70.00 Female 9.00 70.00 Female 7.00 ...
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...in February 2010 focuses on data collections within developing countries such as Africa that is experiencing an high rate of necrotizing enter colitis. Through the uses of statistical data and analysis the article also provides information on the long-term prospect of the disease and whether or not it is lacking in developing countries. The article focuses on data this is collected by South Africa during the pre human immunodeficiency virus era. The focus of this paper is to provide information on the statistical procedure and the significance of the study. The statistical procedures within this research article began with what is known as a cohort. A cohort is a group of subjects which shares a particular experience during a specific time span. During this research article the focus is mainly within a specific cohort of premature infants that are born in South Africa between the years of 1992 and 1995. The study expresses the mean values and how the data ranges throughout the article. For example the mean within the article is known as the gestational age of the cohort, which is thirty two weeks gestation. The range for gestational ages is from twenty two weeks gestation to forty week gestation. The t test is also a part of this research article and it evaluates ongoing variables for statistical significance. The cohort within this study consist of 128 subjects which this not considered as being a small test group , and the student ‘s t test is also utilize within...
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...ultrasound. The statistical information were gathered from medical records of a clinic, it is uncertain the determination of gestational age through ultrasound was indicated and who measured date or obtained medical record report, it is very pertinent to know who obtained the data report and its preciseness and correctness of information is important. QUANTATIVE ANALYSIS Ickovics et al 2003 utilize both descriptive and inferential statistics to scrutinize the data, the reason for the study was to evaluate the difference among the two groups, for the inferential statistics the McNemar test was used, which was suitable for the degree of enquiry due to the matched group, the Cohort design was also implemented as they intended to quantify between groups. Also as relates to the variables outcome. (Polit & Beck 2008). The paired T test was also proper for the study due to the fact its purpose is to test the differences among the two groups that are either paired or matched on the essence of the characteristics. The F test was also implemented, it occurs as the test used when apply multiple linear regression as this F statistics has been utilized while stipulating the influence between birth weight and preterm delivery (p1054). The purpose of linear regression is to describe the amount of the outcome variable is distinct to the independent variable (Burns & Groove, 2007) Descriptive statistics were used by the author to relate the dispensing of the statistical data among topics...
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