Statistical Thinking

In: Business and Management

Submitted By klfalwell
Words 1042
Pages 5
Statistical Thinking in Health Care
Business Statistic MAT510
February 1, 2015

HMO’s pharmacy is experiencing problems with providing inaccurate prescriptions to customers. The inaccurate prescriptions could be from a number of areas in the prescription process. The errors could stem from interpretation of the prescribed medication to faulty input into the computer system, or even the incorrect understanding of the medication prescribed. To develop strategies to target the prevention of medication errors fully, it is necessary to have a holistic understanding of the medication-use process in the pharmacy and how each stage contributes to the overall error rate. Drug ordering and delivery are typically broken into four different stages; prescribing, transcribing, filling, and dispensing. Each of these stages represents a possible risk point and a potential vulnerable link in the patient-safety chain. The below process map outlining the steps HMO takes to fill a prescription for the customer.
Prescribed
Received
Processed
Filled
Dispensed

Suppliers | Inputs | Process | Outputs | Customers | Doctor | Prescription | Medication prescribed by doctor | Medication | Patients | Pharmaceutical Company’s | Drugs | Receiving prescription | Payment | | | | Interpret | | | | | Transferring into computer | | | | | Processing against insurance | | | | | Filling medication | | | | | Dispensing Medication | | |

The analysis of the charts included allows for an understanding of the pharmacy process; but it just might not be the fault of HMO pharmacy. Many medication errors result from prescribing errors, which have an increased potential for serious complications. Prescribing errors are classified into different categories based on knowledge, rules, action, and memory (Warholak, Queiruga, Roush, & Phan, 2011).…...

Similar Documents

Statistical Applications

...descriptive statistics using raw data on hand hygiene rates has been an important tool in increasing awareness of the importance of hand hygiene to the overall safety of our patients. Hospitals are safety and quality driven. Several research studies have shown a direct relation to the skill and education of the nursing staff and a decrease in mortality (McHugh & Lake, 2010). Inferential statistics involves making predictions based on information obtained in a smaller sample (Bennett, Briggs, & Triola, 2009). This information and the inference of better patient outcomes have prompted many hospitals to require nursing staff to attain a bachelor’s of science in nursing. The research suggests a positive correlation between critical thinking skills and nurses with a bachelor’s of science degree and positive patient outcomes (McHugh & Lake, 2010). The institution where I am employed, and many institutions in our tri-state area, is using the findings of these inferential statistics to require that all nurses in their employ obtain a bachelor’s of science in nursing in an effort to provide patients with the best possible outcome. Those in the health care profession, and those involved in nursing research, have many uses for the four levels of measurement in statistics. The four levels of measurement in statistics include nominal, ordinal, interval, and ratio (Bennett, Briggs, & Triola, 2009). The nominal level of measurement is the simplest level of......

Words: 1312 - Pages: 6

Statistical

...The Top 50 Business Schools in the United States: A Statistical Paper by Morgan M. Smith Management 215-03 Professor Kirchner 18 April 2007 The top business schools in America are becoming more difficult to get accepted to. It seems almost impossible to get into schools like Harvard, University of Pennsylvania, Stanford, without having a parent who attended, or having a high socioeconomic status. The demographics of the top 50 business school in the United States are the topic of interest in this paper. The following demographics that were found, gathered, and analyzed were in-state vs. out-of-state students, gender, race, class ranking, and overall high school grade point average of the student population at these top schools. The top 50 business school in the United States are the following: Harvard, Stanford, UPenn, MIT, Northwestern, University of Chicago, Dartmouth College, University of California-Berkeley, Columbia University, NYU, University of Michigan-Ann Arbor, Duke University, UVA, Cornell University, Yale, UCLA, Carnegie Mellon, University of North Carolina-Chapel Hill, University of Texas-Austin, Emory, USC, Ohio State, Purdue University, Indiana University-Bloomington, Georgetown University, Georgia Institute of Technology, University of Maryland-College Park, University of Minnesota-Twin Cities, Michigan State University, Texas A&M University, University of Washington, University of Wisconsin-Madison, Washington University in St. Louis,......

Words: 1766 - Pages: 8

Statistical Control

...STATISTICAL CONTROL OF HOT SHOT PLASTIC KEYCHAINS TBD Webster University BUSN6110, Operation and Project Management [ 2/1/2015 ] Abstract This term paper examines a case study with Hot Shot Plastics company in which statistical process control (SPC) with variable measurements using X bar and R control charts is used to determine whether the process variability is in control. Sample data are utilized to demonstrate how to use X bar and R control charts to check if all the sample points are within the control limits. Patterns on the control charts are analyzed to understand the possible reasons that the process is out of control. Keywords: [control charts, statistical process control, patterns] Statistical Control of Hot Shot Plastic Keychains Hot Shot Plastics is a company that produces plastic keychains. During production of plastic keychains, Hot Shot Plastics first molds the plastic material and then trims it to the required shape. The edge quality of the keychains produced is determined by the curetimes during the molding process. The curetime is the time it takes for the plastic to cool. To ensure good quality plastic keychains, Hot Shot Plastics needs to maintain a process that yields accurate and precise curetimes. It is more desirable for the curetimes to be consistent among samples. When the curetimes are repeatable and there is less variability among samples’ curetimes, the process is deemed to be accurate. The R control chart is intended to......

Words: 2306 - Pages: 10

Statistical Thining in Sports

...Jim Albert and Ruud H. Koning (eds.) Statistical Thinking in Sports CRC PRESS Boca Raton Ann Arbor London Tokyo Contents 1 Introduction Jim Albert and Ruud H. Koning 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 Patterns of world records in sports (2 articles) . . . . . . . 1.1.2 Competition, rankings and betting in soccer (3 articles) . . 1.1.3 An investigation into some popular baseball myths (3 articles) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.4 Uncertainty of attendance at sports events (2 articles) . . . 1.1.5 Home advantage, myths in tennis, drafting in hockey pools, American football . . . . . . . . . . . . . . . . . . . . . 1.2 Website . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Modelling the development of world records in running Gerard H. Kuper and Elmer Sterken 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . 2.2 Modelling world records . . . . . . . . . . . . . . 2.2.1 Cross-sectional approach . . . . . . . . . . 2.2.2 Fitting the individual curves . . . . . . . . 2.3 Selection of the functional form . . . . . . . . . . 2.3.1 Candidate functions . . . . . . . . . . . . . 2.3.2 Theoretical selection of curves . . . . . . . 2.3.3 Fitting the models . . . . . . . . . . . . . . 2.3.4 The Gompertz curve in more......

Words: 20315 - Pages: 82

Statistical Thinking in Health Care

...Statistical Thinking in Health Care Case Study 1 Week 4 By Shirley Davis Dr. Sally Robison Mat 510- Business Statistics November 1, 2015 With information from the case we will attempt to address some explanations to the issue of medication errors being dispensed at HMO pharmacy. A dispensing error is a discrepancy between a prescription and the medicine that the pharmacy delivers to the patient or distributes to the ward on the basis of this prescription, including the dispensing of a medicine with inferior pharmaceutical or informational quality shows the categories of dispensing errors. If dispensing errors are considered from the perspective that the quality of all pharmacy care activities should be assured by the pharmacist, this list can be extended by the addition of three other categories: failure to detect and correct a prescribing error before dispensing; failure to detect a manufacturing error before dispensing; and failure to provide adequate patient counseling in order to prevent administration errors. These categories arise in other segments of the pharmaceutical patient care chain, but they are nevertheless important when one strives for a full assessment of the pharmacy's performance. (a-Chun Cheung, Marcel L Bouvy, and Peter A G M De Smet) I am going to attempt a process map to the best of my ability on filling process for HMO’s pharmacy, in which some key problems that the HMO’s pharmacy might be experiencing. A SIPOC......

Words: 1064 - Pages: 5

Statistical Thinking in Health Care-Hmo.

...Statistical Thinking in Health Care Case Study 1 Week 4 Mat 510- Business Statistics November 1, 2015 With information from the case we will attempt to address some explanations to the issue of medication errors being dispensed at HMO pharmacy. A dispensing error is a discrepancy between a prescription and the medicine that the pharmacy delivers to the patient or distributes to the ward on the basis of this prescription, including the dispensing of a medicine with inferior pharmaceutical or informational quality shows the categories of dispensing errors. If dispensing errors are considered from the perspective that the quality of all pharmacy care activities should be assured by the pharmacist, this list can be extended by the addition of three other categories: failure to detect and correct a prescribing error before dispensing; failure to detect a manufacturing error before dispensing; and failure to provide adequate patient counseling in order to prevent administration errors. These categories arise in other segments of the pharmaceutical patient care chain, but they are nevertheless important when one strives for a full assessment of the pharmacy's performance. (a-Chun Cheung, Marcel L Bouvy, and Peter A G M De Smet) I am going to attempt a process map to the best of my ability on filling process for HMO’s pharmacy, in which some key problems that the HMO’s pharmacy might be experiencing. A SIPOC diagram is a tool used by a team to......

Words: 1058 - Pages: 5

Statistical Thinking

...More than 100,000 Americans die each year from adverse drug reactions from prescriptions filled in overwhelmed pharmacies due to the extensive hours worked by Pharmacist. Pharmacists generally work 40-hour weeks, but their work can bleed into nights, weekends and holidays as well. The job involves lots of multi-tasking. Not only are they on their feet filling prescriptions, but they also connect with patients, many of whom have HIV, cancer or are recent transplant recipients. Pharmacist grasp why patients are taking certain medicines and hopefully empower them to follow through with taking them diligently. The demand has led to critical errors in prescriptions being filled by pharmacist and at times untrained pharmacy technicians. In a report by Ohio State University estimated 5.7 errors per 10,000 prescriptions or 2.2 million dispensing errors per year (Janet, P. 2011). Health Care Provider Health Care Provider Prescription Filled Patient Pays or show Health care card Prescription Filled Patient Pays or show Health care card Pharmacist Counsels Patients Pharmacist Counsels Patients Pharmacist verify Prescription & fill Pharmacist verify Prescription & fill Call Verify Drug Brand (Generic) Call Verify Drug Brand (Generic) Pharmacy Technician * Pharmacy Technician * Grocery or Drug Store Pharmacy Grocery or Drug Store Pharmacy HMO On-site Pharmacy HMO On-site Pharmacy Mail Order Pharmacy Mail Order Pharmacy I will......

Words: 913 - Pages: 4

Mat 510 Week 4 Case Study 1 Statistical Thinking in Health Care

...MAT 510 WEEK 4 CASE STUDY 1 STATISTICAL THINKING IN HEALTH CARE To purchase this visit following link: http://www.activitymode.com/product/mat-510-week-4-case-study-1-statistical-thinking-in-health-care/ Contact us at: SUPPORT@ACTIVITYMODE.COM MAT 510 WEEK 4 CASE STUDY 1 STATISTICAL THINKING IN HEALTH CARE Case Study 1: Statistical Thinking in Health Care Due Week 4 and worth 150 points Read the following case study. Ben Davis had just completed an intensive course in Statistical Thinking for Business Improvement, which was offered to all employees of a large health maintenance organization. There was no time to celebrate, however, because he was already under a lot of pressure. Ben works as a pharmacist’s assistant in the HMO’s pharmacy, and his manager, Juan de Pacotilla, was about to be fired. Juan’s dismissal appeared to be imminent due to numerous complaints and even a few lawsuits over inaccurate prescriptions. Juan now was asking Ben for his assistance in trying to resolve the problem, preferably yesterday! “Ben, I really need your help! If I can’t show some major improvement or at least a solid plan by next month, I’m history.” “I’ll be glad to help, Juan, but what can I do? I’m just a pharmacist’s assistant.” “I don’t care what your job title is; I think you’re just the person who can get this done. I realize I’ve been too far removed from day-to-day operations in the pharmacy, but you work there every day. You’re in a much better position to find out......

Words: 1128 - Pages: 5

Mat 510 Case Study Statistical Thinking in Health Care

...MAT 510 Case Study Statistical Thinking in Health Care Click Link Below To Buy: http://hwcampus.com/shop/mat-510-case-study-statistical-thinking-in-health-care/ Week 4 Case Study 1 - Submit here Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. Case Study 1: Statistical Thinking in Health Care Due Week 4 and worth 150 points Read the following case study. Ben Davis had just completed an intensive course in Statistical Thinking for Business Improvement, which was offered to all employees of a large health maintenance organization. There was no time to celebrate, however, because he was already under a lot of pressure. Ben works as a pharmacist's assistant in the HMO's pharmacy, and his manager, Juan de Pacotilla, was about to be fired. Juan's dismissal appeared to be imminent due to numerous complaints and even a few lawsuits over inaccurate prescriptions. Juan now was asking Ben for his assistance in trying to resolve the problem, preferably yesterday! "Ben, I really need your help! If I can't show some major improvement or at least a solid plan by next month, I'm history." "I'll be glad to help, Juan, but what can I do? I'm just a pharmacist's assistant." "I don't care what your job title is; I think you're just the person who can get this done. I realize I've been too far removed from day-to-day operations in the......

Words: 1037 - Pages: 5

Mat 510 Case Study Statistical Thinking in Health Care

...MAT 510 Case Study Statistical Thinking in Health Care Click Link Below To Buy: http://hwcampus.com/shop/mat-510-case-study-statistical-thinking-in-health-care/ Week 4 Case Study 1 - Submit here Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. Case Study 1: Statistical Thinking in Health Care Due Week 4 and worth 150 points Read the following case study. Ben Davis had just completed an intensive course in Statistical Thinking for Business Improvement, which was offered to all employees of a large health maintenance organization. There was no time to celebrate, however, because he was already under a lot of pressure. Ben works as a pharmacist's assistant in the HMO's pharmacy, and his manager, Juan de Pacotilla, was about to be fired. Juan's dismissal appeared to be imminent due to numerous complaints and even a few lawsuits over inaccurate prescriptions. Juan now was asking Ben for his assistance in trying to resolve the problem, preferably yesterday! "Ben, I really need your help! If I can't show some major improvement or at least a solid plan by next month, I'm history." "I'll be glad to help, Juan, but what can I do? I'm just a pharmacist's assistant." "I don't care what your job title is; I think you're just the person who can get this done. I realize I've been too far removed from day-to-day operations in the......

Words: 1037 - Pages: 5

Statistical Analysis

...2000, Statistical Division, Ministry of Planning, Government of Bangladesh, Dhaka. BBS (2002); Statistical Year book of Bangladesh, 2001, Dhaka. Bunce, L. and R. Pomeroy. 2003. Socioeconomic Monitoring Guidelines for Coastal Managers in the Caribbean: SocMon Caribbean. GCRMN. Bunce, L., P. Townsley, R. Pomeroy, and R. Caribbean. GCRMN. Bunce, L., P. Townsley, R. Pomeroy, and R. Pollnac. 2000. Chandra KJ. Fish parasitological studies in Bangladesh: A Review. J Agric Rural Dev. 2006; 4: 9-18. Cochran, W.G. (1977); Sampling Techniques, 3rded. New Delhi: Wiley Eastern. Davis, James A. (1971). Elementary survey analysis. Des Raj (1971); Sampling Theory. Fox, J. 1984: Linear Statistical Models and Ravallion, M. and B. Sen 1996: When Method Matters: Monitoring Poverty in Bangladesh, Economic Development and Cultural Change, 44: 761-792 Gujarati, Damodar.N; Basic Econometrics. 4TH edition; Mcgraw-Hill. Gupta, S.C., Kapoor; Fundamental of Mathematical Statistics. New Delhi. Heyman, W. and R. Graham (eds.). 2000. The voice of the fishermen of Southern Belize, Toledo Institute for Development and Environment. Punta Gorda. Hogg, R. V. and A. T. Craig (2002): Introduction to Mathematical Statistics, 5th edition, Pearson Education (Singapore) Pte Ltd. Islam, M. Nurul; An Introduction to Sampling Methods: Theory and Applications. Jessen, R.J. (1978): Statistical Survey Technique. Mason, D., Robert and Douglas A. Lind (1996): Statistical......

Words: 340 - Pages: 2

Statistical Thinking in Healthcare

...STATISTICAL THINKING IN HEALTH CARE Jamie D. Grant Dr. Theodore Gorczyca MAT 510 – Business Statistics February 5, 2016 The prescription filling process of the health maintenance organization (HMO) consists of the doctor sending the prescription to the pharmacy via paper with the patient, paper to the nurse who calls in the prescription with instructions, or faxing the prescription to the pharmacy. From there, the personnel at the pharmacy fill the prescription by inputting the information given to them into their computer in order to print the instructions and medication labels for the prescriptions. They then pull the requested medications per the instructions, fill the necessary containers to give to the patients, and label them accordingly. Patients then receive their medicines and take them according to the instructions printed on the labels by the pharmacy per the doctor. There are many activities involved in this process that can cause issues. There are various reasons prescriptions can be filled inaccurately from the beginning (which can be considered the supplier portion of the SIPOC model) of the process. Interviews with pharmacy assistants indicate that doctors’ handwritings’ are difficult to decipher, and hence an area of concern when this information is given on paper to read in person or by facsimile copy. The person receiving the information in this format has the task of reading it, and interpreting what the doctor is trying to convey. If...

Words: 955 - Pages: 4

Statistical Engineering: Principles and Examples

...Statistical Engineering: Principles and Examples September 20, 2011 Lynne B. Hare, Ph.D. Statistical Strategies, LLC S i i lS i C lynne.hare@comcast.net Outline 1. Motivation o a o a. b. c. d. Not enough statisticians Management demand Balance with other staff Other technologies in  competition p Background Definition Principles Comments 3 3. Examples a p es NIST Standard Reference  Materials b. Industrial consumer  b I d i l complaints [Group Exercise] a. Closed loop dosing  systems c. Process Variation  c Process Variation Reduction d. Lean Six Sigma Slide 2 a. 2. Statistical Engineering a. b. c. d. d Lynne s Background (Why me?) Lynne’s Background (Why me?) • 40+ years in industry – Nabisco, then Kraft , – Unilever (Lipton) – Hunt‐Wesson Foods • Academic – AB Math The Colorado AB Math, The Colorado  College – MS, Applied and  Mathematical Statistics,  Rutgers – PhD, Interdisciplinary, Rutgers • Government: NIST Government: NIST • Academia – Cal. St. Fullerton (MBAs) – Rutgers (Experiment Station) ( ) • ASA – Chair P&Q Division – Fellow ‘94 • Consulting – Consumer goods – Pharmaceuticals – R&D, Manufacturing, Quality • ASQ – Chair Statistics Division – Fellow ’86 – Column Quality Progress Column:  Quality Progress Slide 3 Statisticians?? Not sure N t Yes No Don’t care.  This is the only session  that looked remotely interesting. that looked remotely interesting 4 How can you tell? How can you tell? • If......

Words: 2285 - Pages: 10

Mat 510 Case Study Statistical Thinking in Health Care

...MAT 510 Case Study Statistical Thinking in Health Care Click Link Below To Buy: http://hwcampus.com/shop/mat-510-case-study-statistical-thinking-in-health-care/ Week 4 Case Study 1 - Submit here Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. Case Study 1: Statistical Thinking in Health Care Due Week 4 and worth 150 points Read the following case study. Ben Davis had just completed an intensive course in Statistical Thinking for Business Improvement, which was offered to all employees of a large health maintenance organization. There was no time to celebrate, however, because he was already under a lot of pressure. Ben works as a pharmacist's assistant in the HMO's pharmacy, and his manager, Juan de Pacotilla, was about to be fired. Juan's dismissal appeared to be imminent due to numerous complaints and even a few lawsuits over inaccurate prescriptions. Juan now was asking Ben for his assistance in trying to resolve the problem, preferably yesterday! "Ben, I really need your help! If I can't show some major improvement or at least a solid plan by next month, I'm history." "I'll be glad to help, Juan, but what can I do? I'm just a pharmacist's assistant." "I don't care what your job title is; I think you're just the person who can get this done. I realize I've been too far removed from day-to-day operations in the......

Words: 1037 - Pages: 5

Statistical

...problems with Black psychology tests they do offer some convincing arguments against the hereditarian thesis in test scores between Black and white subjects, while exposing the additional problem of cultural and linguistic bias in tests that claim to be culture free. Consequently, test scores based on traditional tests continue 10 to be presented with unwarranted conclusions concerning the intellectual inferiority of Black people in America and the Diaspora compared to whites. CONCLUSIONS One of the defining features of the mainstream rights racial project is it’s re-defining of the term racial equality in terms of colour blindness. Ruth Frankenburg (1993) points out that colour blindness on the part of whites represents a mode of thinking about race organised around an effort not to see or acknowledge their racial privilege and power. Colour blindness is a double move toward colour evasiveness and power evasiveness, it represents a polite language of race that is deceitful when it come to acknowledging the complicity of whites with the structural and institutional inequality. Murray & Hernstein’ (1994) colour blind racial politics supports a reconceptualised understanding of racial equality based on civic individualism. According to this re-formulation, equality is the result of individual striving, merit and deserved achievement and discrimination. If intentional it is against individuals not groups. The Bell Curve is therefore an extension of mainstream right......

Words: 5892 - Pages: 24