Competency Determine strategies that minimize legal risks in nursing practice related to negligence and malpractice. Scenario The Board of Nursing in the state of Florida has decided to utilize a tool developed by the National Council of State Boards of Nursing called the Taxonomy of Error, Root Cause Analysis Practice- Responsibility (TERCAP). Your nurse manager has provided you with a summary of the completed TERCAP report by your Board of Nursing’s Disciplinary Action Committee. She has asked you to review this summary and to develop a proposal of suggestions for continuing education topics on ways to minimize legal risks for your hospital’s practicing nurses. The nurse educators will develop an education series based upon your recommendations. Instructions Prepare a proposal based on the summary of the TERCAP with recommendations and suggestions on minimizing legal risks that: Part One – Review summary of completed TERCAP report below. A patient, aged 54, admitted for back surgery secondary to compressed vertebrae and intense pain. The difficulty with pain management has caused the patient some depression and insomnia over the last month. During her first post-operative day, the patient fell attempting to go from the bed to the bathroom without assistance. Her injury was serious and involved significant harm requiring two additional days of hospitalization and an addition six weeks of physical therapy. A review of the case determined that her assigned nurse on night shift was an RN (age 24) with nine months of experience in this unit. This was her third 12 hours shift in a row, and she was 29 weeks pregnant. There were 28 beds occupied with only two RNs and one patient technician, due to one vacancy and a call-in for illness. This community facility has experienced a turnover rate of 12% in the last year (community average of 4.5%), and has a high number of new graduates working on medical surgical units, particularly on the 7 pm- 7 am shift. A review of the chart showed that the patient had been advised by the out-going nurse, who admitted her to the unit post-operatively, that she needed to ask for assistance with toileting for at least the next 24 hours due to the extensive back surgery and post-anesthesia response and pain medication. The RN coming on shift had received bedside shift report at 7 pm and noted the patient sleeping, so the issue of patient assistance was not repeated. She checked on her again at 8 pm and administered the requested prn medication (morphine) for pain. She was busy with other patients and did not see the patient again until the patient fell at 9:51 pm. The patient reported that she did not recall having been instructed to ask for assistance, as she was very groggy from the anesthesia. She stated that she had pushed the nurse call button for assistance and “no one came.” There was no clerical support at the nursing station and the three staff members had been very busy with patients, so this statement could not be substantiated. The risk manager found that the RN had not followed nursing policy for patient assessment 20 minutes after receiving pain medication, and had not done the recommended hourly rounding on the patient to assess for the need for elimination, pain, and patient comfort. The note in the chart indicated only that the patient requested pain medication, but did not provide specific nursing assessment details or comment that the patient had received the same dosage of morphine two hours earlier. Part Two – Factors and Actions Exemplary discussion of factors that contributed to event and how factors could be addressed to minimize legal risks with comprehensive supporting details on situational factors, nursing factors, human factors, and organizational factors. Exemplary explanation of whether the nurse was negligent or did her actions reach the level of malpractice with comprehensive supporting details from research. or did her actions reach the level of malpractice and support your reasoning with research. Exemplary determination of what options the nursing board had regarding this nurse’s license to practice nursing with comprehensive supporting details. Describes your reasoning for what action would you recommend (warning, probation, revocation of license) if you were on the disciplinary committee of your Board of Nursing. Explains how the level of nursing behavior relates to your proposed recommendation on licensure. Part Three – Continuing Education Summarizes a list of topics to be provided to the education department based on the summary of the TERCAP report. Provides stated ideas with professional language and attribution for credible sources with correct APA citation, spelling, and grammar in the proposal. Please do this assignment using only research published
within the past 5 years. Plagiarism free
Rasmussen College TERCAP Proposal Contributing Factors to the Event Paper
Graded Assignment: Explore and Prepare DataYou work for a hypothetical university as an entry level data analyst and your supervisor has task you to learn more about the data mining process associated with problem definitions, data exploration and data preparation by completing the steps below:In the discussion this week, a task to install Rapid Miner was requested so to get started, your supervisor has asked you to prepare feedback based on at least two Rapid Miner data samples. Another data set can be downloaded fromhttps://rapidminer.com/training/videos/ which is used in the free Rapid Miner video tutorials.Important Reminder: In support of this feedback and assignment, everyone should go through all introductory and data preparation video tutorials at https://rapidminer.com/training/videos/. Additional learning videos could be found at www.youtube.com using keyword searches like “Rapid Miner Tutorials.” For example, check out the resource found below:RapidMiner, Inc. (2018). Various Rapid Miner Support Video Resources. YouTube. Retrieved fromhttps://www.youtube.com/user/RapidIVideosRapid Miner. (2018). Operator reference manual. Rapid Minder. Retrieved fromhttps://docs.rapidminer.com/latest/studio/operators/rapidminer-studio-operator-reference.pdf (Note: This is a good manual to support leaning and application using Rapid Miner).The feedback needs to be a minimum of five body pages of written content not including illustrations and supported with at least three academic sources of research. Furthermore, the feedback needs to be professionally formatted using APA including an APA cover page, abstract, body pages, and reference page. The feedback needs to address the following:Problem Definitions: When looking at the data sets, think about, develop and discuss some potential problem definitions for these data sets. In other words, what are some potential ideas of working with and handling these data sets.Data exploration: In further exploration of the data sets, discuss and reflect on the quality of these data sets and use some of the basic statistical output and charts provided with Rapid Miner. When exploring the data sets, also remember to think about any potential data problems you see.Data Preparation: After exploring the data, discuss, reflect, and apply any ideas to cleanse or make the data better for data analysis and modeling efforts.Remember to be very illustrative embedding any charts used or other screen captures to verify any work completed to explore and prepare the data sets.For the conclusions of this feedback, no modeling has yet been accomplished; however, use the basic statistical and chart options to draw initial conclusions about these data sets assuming a case where there were no options to go further creating models. In other words, what types of decisions could be made about these data sets after data exploration and data preparations are conducted.Complete and submit this assignment for grading on or before the due date. Remember, it is not a good idea to complete or attempt completing work late. See the course syllabus and the associated late policy.
Explore and Prepare Data
PHI 1301 Unit VI Assignment
PHI 1301 Unit VI Assignment. Paper details This assignment has two parts. Both parts will be completed in the same attached Unit VI Homework Template. Part 1: Imagine someone who believes gravity is not a real force in nature. Using the Unit VI Assignment template, write at least two to four paragraphs explaining to this person that gravity is a real force in nature. Note that you will be defending a very specific conclusion: Gravity is a real force of nature. Your assignment must address and demonstrate an understanding of the following concepts: scientific explanation, theory, and the scientific method (observation, experiment, and measurement). Part 2: After writing your paragraphs, fill out the premises in the attached template. Adhere to APA Style when creating citations and references for this assignment. APA formatting, however, is not necessary. No more than 15–20% of your assignment should include outside information. The idea is to use some evidence to help defend your argument.PHI 1301 Unit VI Assignment
UC De Identification Processes Before the Analysis of Data Responses
essay help online free UC De Identification Processes Before the Analysis of Data Responses.
I’m working on a computer science writing question and need an explanation to help me understand better.
Answer 1:Chapter 4Data mining is a real-world setting that deals with data about a real individual. This information or data is in the form of names, addresses, social security numbers, driver’s license numbers, ages, sex, financial data such as income, bank balance, credit card limits, investment accounts. This data is very personal to the individual, and most individuals would not want this data disclosed (Chamikara et al., 2020). When this data gets into the wrong hands, i.e., hackers and fraudsters can lead to identity theft and illegal criminal activities using a certain individual’s name. This, in turn, can cause much damage to the affected people, and they may sue the company responsible for this personal information breach. This will also cause huge losses to the company to file the lawsuit and compensate these individuals for violating their privacy rights (Chamikara et al., 2020).The data analyst needs to prevent such violations of the privacy rights of individuals. A brief example that can support the statement mentioned above is the Equifax data breach. Equifax had to compensate many individuals with millions of dollars, which could have been easily avoided (Shah & Gulati, 2016). To overcome this issue of putting people’s private information at risk, most sensible and responsible firms incorporate data de-identification before data analysis. Most open-source databases ask users to content that the user will try to identify the individual’s identity behind the listed numbers under no circumstances.Hence it is substantiated that the privacy of an individual’s data used for analytics purposes is kept private at all cost and keeps the data safe from misuse (Shah & Gulati, 2016).ReferencesChamikara, M. A. P., Bertok, P., Liu, D., Camtepe, S., & Khalil, I. (2020). Efficient privacy preservation of big data for accurate data mining. Information Sciences, 527, 420-443.Shah, A., & Gulati, R. (2016). Privacy preserving data mining: Techniques classification and implications—A survey. Int. J. Comput. Appl, 137(12), 40-46.Answer 2:Privacy and Security Issues in Data MiningTechnological advancement is an opportunity to enhance successful business operations by using technology like data mining. However, data mining is associated with increased privacy and security issues, which affect the company’s integrity while interacting with the customer’s data. Research by Mendes and Vilela (2017) acknowledged that security is a major issue in data mining, which affects the opportunity to enhance effective decision-making. Customers cannot trust the company with its data due to the privacy challenges due to insecurity. The company can also suffer from a damaged reputation. Companies have gradually advanced, and they are collecting the customer’s data using data-mining strategies. Some companies are sharing the information with third parties without acknowledging the customers. Sharda et al. (2020) discussed a privacy issue by JetBlue Airlines, where whereby the company-provided the customer’s data to Torch Concepts, a US government contractor. It is a perfect example of how data mining has privacy issues affecting business efficiency. The companies do not play their roles and responsibility to protect the customers’ information. In many cases, the company does not acknowledge the customers about the data collection processes. Companies are those using customers’ data in advertisements without acknowledging the customers, which increases privacy issues. Data mining privacy issues are substantiated since technological advancement is giving organizations more opportunities to collect the data. For example, technological evolution has increased the use of mobile technology and the Internet of Things (IoT), which increases the framework for organizations to collect the customer’s data. Some customers may not be aware of the company’s intention, which results in security and privacy problems. As a result, the privacy issues are substantiated, and they affect the business efficiency and how an organization can maximize the performance.ReferencesMendes, R., & Vilela, J. P. (2017). Privacy-preserving data mining: methods, metrics, and applications. IEEE Access, 5, 10562-10582.Sharda, R., Delen, D., & Turban, E. (2020). Analytics, data science, & artificial intelligence: Systems for decision support. Hoboken, N. J.: Pearson.
UC De Identification Processes Before the Analysis of Data Responses
Behaviour Management for Motivation
Behaviour Management for Motivation. In this assignment, I will be examining the ways that teachers manage the behaviour of their classes in a manner that encourages motivation. I will look at how difficulties in class are dealt with by observing lessons in low attaining sets. By observing lessons in low attaining sets I hope to see a range of different difficulties being dealt with such as the levels of confidence, resilience of the students and what techniques teachers use to engage their pupils which I may not find as easy to observe in the higher attaining sets. As well as this, by limiting myself to observing similarly attaining sets I hope to be able to compare the lesson observations more easily. I will be reviewing existing literature around this topic before observing several lessons to find out whether my findings are congruent with the existing literature or not and attempt to draw conclusions from what I find that might benefit my own practice. In my literature review I will look at the areas of motivation and behaviour management separately before drawing the ideas together with the use of pertinent sources to apply to low attaining sets and the ways in which a teacher might best motivate and encourage their class to learn. Then, using an existing observation form focusing on classroom management I will make notes on both teacher and student actions, dispositions and other classroom events. Behaviour management Teacher Strategies Methods of managing classroom behaviour has been moving away from punitive in recent years and more towards positive behavioural strategies (MitchellBehaviour Management for Motivation
Sociology homework help
Sociology homework help. Given the following distribution: ÿ14,ÿ10, 12, 14,ÿ14,ÿ10, 8 ÿÿ ÿ Calculate the mean, median, mode,ÿstandard deviation, and range.ÿCalculate the mean, median, mode,ÿstandard deviation, and rangeÿforÿÿ ÿÿtheÿfollowing distribution: ÿ109,ÿ110,ÿ109,ÿ107,ÿ106,ÿ100, 80ÿÿ1.When scores are arranged in order of magnitude, the researcher has formed aa. histogramÿÿ ÿ ÿ ÿ ÿ b. measure of centralityc. measure of dispersiond. distributionÿ2.When a distribution is skewed, the researcher who is interested in central tendency shouldÿuse thea. meanb. medianc. moded. percentile3.The influence of a few extreme scores in one direction most effectsÿthe value ofÿthea. meanb. medianc. moded. percentile4.ÿThe absicca is the ÿ ÿ ÿ ÿ ÿa. the horizontal axis ÿ ÿÿb. the vertical axis ÿ ÿ ÿÿÿ ÿ ÿ ÿÿc. the connected points on a polygon.ÿd. a measure of central tendency5.The following are all measures of central tendency except thea. meanb. medianc. ranged. mode6.When we say that the average height of all adult females in the U.S. is known to be 5″6″,ÿwe are usinga. ÿdescriptive statisticsb. ÿinferential statisticsc. ÿpredictive statisticsd. ÿprobability estimates7.ÿWhen a researcher attempts to estimate the characteristicsÿof an entire population on theÿbasisÿÿÿÿof sample measures, the techniques are calleda. ÿdescriptive statisticsb. ÿinferential statisticsc. ÿSkewed statisticsd. b and c, but not aÿ ÿ ÿ ÿ ÿ ÿ ÿ ÿÿ8.ÿThe _____ is a point on a distribution/scale such that half the observation falls above it and halfÿÿÿ ÿ ÿ ÿ ÿ ÿ ÿ ÿ ÿ ÿÿbelow it.a.modeb.arithmetic meanc.standard deviationd.median9.ÿStatistics as a general field is divided into two subareas. They ÿarea.ÿpredictive and inferential.b.ÿdescriptive and inferential.c.ÿnominal and ordinal.d.ÿnone of these.10.ÿWhen scores are arranged in order of magnitude, the researcher has formed aa.histogram.b.measure of centrality.c.measure of dispersion.d.distribution.ÿ11.ÿWhen a distribution shows a large majority of very low scores and a few very high scores, the distribution is said to bea.skewed to the rightb.skewed to the left.c.skewed to the middled.bimodal.12.ÿWhen each score is listed in order of magnitude, together with the number of individuals receiving each score, the researcher has set upa.a unimodal distribution.b.a bimodal distribution.c.a skewed distribution.d.a frequency distribution.13.ÿThe ordinate is identical to thea.X axis.b.Y axis.c.mean.d.none of these.14.ÿThe difference between the highest and lowest scores in any distribution is calleda.the deviation score.b.the standard deviation.c.the range.d.none of these.15. ÿOne major defect of the range is thata.it included the entire width of the distribution.b.it is based on only two scores.c.it is not a measure of variability.d.all of these.16.ÿThe standard deviation is a measure ofa.how farÿallÿthe scores vary from the mean.b.how far the middlemost 50% of cases vary form theÿmean.c.how far the highest and lowest scores vary form each other.d.central tendency.17.ÿThe standard deviation must always be calculated with reference to thea.decile.b.median.c.mode.d.mean.18.ÿThe more heterogeneous the distribution of scores,a.the smaller the standard deviation.b.the larger the standard deviation.c.the more the distribution tends to be skewed.d.the greater the chance of excluding extreme scores.19.ÿA distribution with a large standard deviation must also have a largea.number of scores near the mean.b.number of scores near the median.c.variance.d.none of these.20.ÿA platykurtic distribution always hasa.a relatively small standard deviation.b.a relatively large standard deviation.c.a standard deviation of zero.d.ÿa few extreme scores at just one end of the distribution.21.ÿThe term which defines the flatness or peakedness of a curve isa.homoscedasticityb.rangevalues.c.central tendency.d.kurtosis.22.ÿWhen most scores cluster closely around the mean, the curve isa.asymmetrical.b.platykurtic.c.shaped like a Ud.leptokurtic.23.ÿWhen an extremely homogeneous set of scores is graphed, then the resulting frequency distribution curve isa.platykurtic.b.leptokurtic.c.mesokurtic.d.bimodal.24.ÿIf the range on a mesokurtic distribution is equal to 60, then the standard deviation will be approximately equal toa.10.b.360.c..17.d.impossible to determine from the facts given.25.ÿOf the following, indicate which isÿnotÿa measure of variabilitya.rangeb.percentilec.standard deviationd.variance.Sociology homework help