...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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...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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...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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...TermPaperWarehouse.com - Free Term Papers, Essays and Research Documents The Research Paper Factory Join Search Browse Saved Papers Home Page » Other Topics Uses of Statistical Data In: Other Topics Uses of Statistical Data Uses of Statistical Information Darryl Lowery Statistical Applications/HCS438 February 28, 2012 Julieanne Hessler, RN MSN, MBA Introduction Statistics are used in every phase in the delivery of health care. This is particularly true as it relates to the cost of providing health care services (Eaton, 2006). At Mercy Medical Center, not unlike any other health care facility, the use of statistics is pervasive throughout the organization. First and foremost Mercy uses statistics to develop and maintain its financial imperatives (Minnis, 2008). Simply stated if actual cost of providing health care services exceeds the revenue generated the organization will have difficulty keeping its doors open. This paper will discuss examples of descriptive and inferential statistics in use at Mercy Medical Center. Also discussed will be how data at nominal, ordinal, interval, and ratio levels of measurement are used within the organization. Finally, the advantages of accurate interpretation of statistical data and improved decision making within the organization will be discussed. Descriptive Statistics An example of a descriptive statistic used at Mercy Medical Center is time spent by the Emergency...
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...Statistical Databases Jaideep Srivastava and Hung Q. Ngo, Department of Computer Science, University of Minnesota, 200 Union street, EE/CS Building, room 4-192, Minneapolis, MN 55455 e-mail: srivasta, hngo @cs.umn.edu, ¡ 1 Introduction A statistical database management system (SDBMS) is a database management system that can model, store and manipulate data in a manner well suited to the needs of users who want to perform statistical analyses on the data. Statistical databases have some special characteristics and requirements that are not supported by existing commercial database management systems. For example, while basic aggregation operations like SUM and AVG are part of SQL, there is no support for other commonly used operations like variance and co-variance. Such computations, as well as more advanced ones like regression and principal component analysis, are usually performed using statistical packages and libraries, such as SAS [1] and SPSS [2]. From the end user’s perspective, whether the statistical calculations are being performed in the database or in a statistical package can be quite transparent, especially from a functionality viewpoint. However, once the datasets to be analyzed grow beyond a certain size, the statistical package approach becomes infeasible, either due to its inability to handle large volumes of data, or the unacceptable computation times which make interactive analysis impossible. With the increasing sophistication of data collection instrumentation...
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...Use of Statistical Information HCS/438 August 6, 2012 Use of Statistical Information Statistics is defined as “the science of collecting, organizing, and interpreting data” (Bennett, Briggs, & Triola, 2009). For most patients and their families, the process of healthcare appears simple. People with illnesses are admitted into a hospital facility and a specific course of treatment is identified and the care is carried out by a team of physicians, nurses, and social workers. What is not noticed is a specialized resource team aimed at keeping all patients safe throughout the course of their hospitalization. This paper will identify how statistics are utilized in the infection prevention setting, 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 in the workplace. How Are Statistics Used in Your Workplace There are many uses for statistical application in the field of infection prevention and control. The purpose of infection prevention and control is to put into place policies and procedures that minimize the spread of infections, especially in the hospital setting. The primary function of infection prevention and control surveillance is to reduce the occurrence of infections by using risk factors and implementation of risk-risk reduction measures and the...
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...the entire national statistical system to enhance statistical production and utilization Herufi House, Lt. Tumbo lane P.O. Box 30266 – 00100 GPO Nairobi, Kenya Tel: +254-20-317583/86/88,317612/22/23/51 Fax: +254 – 20-315977 Email: info@knbs.or.ke Web: www.knbs.or.ke i WI-83-1-1 Preface Kenya National Bureau of Statistics (KNBS) is the principal agency of the Government for collecting, analysing and disseminating statistical data in Kenya. KNBS is the custodian of official statistical information and is mandated to coordinate all statistical activities, and the National Statistical System (NSS) in the country. Official statistics are data produced and disseminated within the scope of the Statistical Programme of the National Statistical System (NSS) in compliance with international standards. To achieve this mandate, KNBS strives to live up to the aspirations of its vision; to be a centre of excellence in statistics production and management. Chapter Four on The Bill of Rights section 35 of the new constitution in Kenya gives every citizen right of access to information held by the State. This policy document strives to provide a framework for availing statistical information to the public in conformity with this bill and government’s open data initiative. This policy also provides guidelines on the permitted usage of KNBS accessed data and definition of the nature of data files that will be released, the intended use of these files together...
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...Ethical Guidelines for Statistical Practice Prepared by the Committee on Professional Ethics Approved by the Board of Directors, August 7, 1999 Executive Summary This document contains two parts: I. Preamble and II. Ethical Guidelines. The Preamble addresses A. Purpose of the Guidelines, B. Statistics and Society, and C. Shared Values. The purpose of the document is to encourage ethical and effective statistical work in morally conducive working environments. It is also intended to assist students in learning to perform statistical work responsibly. Statistics plays a vital role in many aspects of science, the economy, governance, and even entertainment. It is important that all statistical practitioners recognize their potential impact on the broader society and the attendant ethical obligations to perform their work responsibly. Furthermore, practitioners are encouraged to exercise "good professional citizenship" in order to improve the public climate for, understanding of, and respect for the use of statistics throughout its range of applications. The Ethical Guidelines address eight general topic areas and specify important ethical considerations under each topic. A. Professionalism points out the need for competence, judgment, diligence, self-respect, and worthiness of the respect of other people. B. Responsibilities to Funders, Clients, and Employers discusses the practitioner's responsibility for assuring that statistical work is suitable to the needs...
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...180: Principles of Information Systems At the end of this course students should be able to: 1. Understand the importance of determining information system requirements for all management levels by developing an understanding of the differences between various types of information systems 2. Understand how information systems are developed 3. Understand the computer revolution and its impact on the way business is conducted 4. Become familiar with critical-thinking skills in identifying information systems problems and how to investigate existing literature about hardware and software solutions to problems. 5. Know the components and functions of computer systems, both hardware and software. 6. Become familiar with the advances in networking, data communications and the Internet and how they affect the way business is conducted. 7. Identify which information technology tools are used to solve various business problems. 8. Develop proficiency solving business problems using modern productivity tools (e.g., spreadsheet, database) or creating custom programs. MIS 301: Statistical Analysis for Business At the end of this course students should be able to: 1. Use data from a sample to make inferences about a population. 2. Apply probability theory in decision making situations. 3. Formulate hypotheses for decision making and research. 4. Analyze data using appropriate statistical techniques. 5. Interpret the results of statistical analysis. 6. Present statistical results using graphics...
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...COMM 121 - Statistics in Practice Assignment Summary of Article (250 words) Companies use statistical tools to help express the research relevant to their specific industry. I have chosen the article ‘State of the Nation: Spotlight on online shopping’ to convey different types of statistical tools used in a typical business analysis. The article shows the growing trends in Australian consumerism, how the focus on Australian spending has moved from traditional ‘bricks and mortar’ to online spending and the effects it has on local businesses. The information presented is based around a survey of 50,000 Australians aged 14 and older. The main aspect of the article goes into depth on how the online purchases are being spent and were the money is being spent. This statement shows how the trend has moved away from traditional sources of shopping” online sales up 14.2% to $22.8 billion in the 12 months to June 2012, compared to a growth rate of only 3.3% in total retail sales and this is equivalent to 9% of total volume.” (R) this shows the contrast in spending between online and overall retail sales. The comparative difference in the two is significant, companies in Australia need to adapt to this new style of spending in order to remain relevant in the retail industry. Especially in the travel industry as 26.1% of all online spending is in some form related to the travel sector. “Around one third (32.9%) of the Australian population buys something online over an average four...
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...interrupted. You need to explain to management what steps the DBMS will take to correct the database. Using the sample log in Figure 7-1 1, list and describe the updates that the DBMS will roll back if transaction 2 is interrupted at 8:10. In transaction 2, the DBMS started it at 8:01, added an Orders table record at 8:02, and added an Order Line table record at8:05 and added an Order Line table record at 8:09. To roll back the transaction, the DBMS deletes the three added records. 2. Occasionally, users at Premiere Products obtain incorrect results when they run queries that include built-in (aggregate, summary, or statistical) functions. The DBA told management that unrepeatable reads caused the problems. Use books, articles, and/or the Internet to research the unrepeatable read problem. Write a short report that explains the unrepeatable-read problem to management and use an example with y our explanation. (Unrepeatable reads are also called inconsistent retrievals, dirty reads, and inconsistent reads.) Unrepeatable-Read Problems occur many times when a different result is seen from the same query while still in progress. This usually happens when dealing with the UPDATE command by other transactions. An unrepeatable read (also called an inconsistent retrieval, dirty read, or inconsistent read) occurs when a user’s retrieval transaction reads a set of data that other users’ transactions have partially updated. For example, suppose Pat’s transaction involves calculating the total...
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...Running Head: ORGANIZATIONAL PSYCHOLOGY Organizational Psychology Paper June Forbes-Nixon PSY 428 21st March 2011 Facilitator - Maria Cuddy-Casey Defining Organizational Psychology Organizational psychology is a field that utilizes scientific methodology to better understand the behavior of individuals working in organizational settings. In principle, organizational psychology focuses on workplace, including its workers, and organizations that employ them. Organizational psychology gives hiring tests, study the best ways to train employees, investigate how to improve work conditions, and analyze how management and employees can get along better. Organizational psychology should be viewed as a science; it is based on scientific studies of behavior in both organization and laboratory settings. Organizational psychology is part of a broader field of study in its own right; however, it is actually part of the broader field of industrial/organizational psychology, (Jex & Britt, 2008). Industrial psychology is defined as the application of methods and principles of psychology to the workplace using scientific methods to study behavior in organizations. Industrial psychology deals with recruitment, selection, classification, compensation, performance appraisal and training of employees. Whereas, organizational psychology is concerned with socialization, motivation, occupational stress, leadership, group performance and organization development. Historically...
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