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The best AI Content Detection Tools

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Some of the best AI Content Detection Tools

The emergence of advanced AI content detection tools has revolutionized the online landscape, enabling bloggers and content creators to ensure authenticity, combat misinformation, and promote a safer digital environment. In today’s digital landscape, where content creation and consumption are at an all-time high, ensuring the authenticity and integrity of information becomes paramount. As the volume of online content continues to skyrocket, the need for effective content detection tools has become crucial.

With the launch of ChatGPT end of November 2022 it became clear that large language models (LLM) like GPT3.5 can replace a lot of text generation, more than even GPT3 or older models. And GPT4 by OpenAI is just around the corner.

Organizations, government agencies, and universities have a strong interest to determine if a piece of content was generated using a language model or AI text tool, needing a GPT Detector for handed in papers.

How would a GPT3 detector or ChatGPT detector work?

There are several ways to detect whether a piece of content was generated using a language model like GPT3, ChatGPT, or a tool like Jasper.ai, Writesonic, or copy.ai.

Some methods that could be used include:

  1. Checking for certain linguistic features or patterns that are common in machine-generated text. e.g. AI-generated text might have higher levels of repetitiveness or lack the complexity and variability of human-written text.
  2. Checking for specific formatting or structural features that are common in machine-generated text. e.g. AI-generated text might have a more uniform structure or lack the variety of formatting that is typical in human-written text. They sometimes look “too good to be true”.
  3. Checking for certain keywords or phrases that are commonly used in AI-generated text. That’s a lot harder already. In general, there are statistically significant patterns known and detectable of which word combinations a model like GPT3 picks.
  4. Comparing the content in question to known examples of machine-generated text. This could be done manually or especially using machine learning techniques to analyse the content and determine its likelihood of being generated by a machine, again.
  5. It is important to know that both GPT3 and ChatGPT (GPT3.5) have a much richer vocabulary, and produce more complex output. This fact makes them harder to distinguish from human written content.

It is also important to note that detecting whether a piece of content was generated using a language model or AI tool is not straightforward. It may be challenging to determine the origin of a given piece of text definitively. Many trivial text blocks written by a human or copied/pasted from the web are often detected as likely AI-generated.

Here is a list of the best AI Content Detection Tools – Top 8 AI detection tools:

  1. AI

Originality.ai, as the name suggests, is a tool that uses AI to detect AI. It is among the the best AI content detection tools. Seems a bit paradoxical, but it uses machine learning and works around the sentence structure to check the originality of the text. This tool also detects plagiarism and ensures that the written work is original. If you are planning to consider Originality.ai as your go-to tool, here are the pros and cons to look for beforehand.

Pros:

  • It quickly identifies plagiarism and thus saves time and effort involved.
  • It can help ensure that written work is original, which can be important in academic or professional settings.
  • Originality.ai uses natural language processing (NLP) algorithms to understand the text and identify similarities, even when the text has been rephrased or paraphrased. The tool can also check the text against a user-defined database of sources, such as a list of sources provided by a professor or a company’s internal document.
  • It can also help users learn about proper citation and referencing practices.

Cons:

  • Like any other software, this, too, is prone to false positives. There might be instances where it might detect your original content to have been written by an AI. Don’t groan about it; rather, feel proud that you have some superhuman-level skills.
  • It may not be able to detect all instances of plagiarism, especially if the text has been substantially rephrased or paraphrased.
  • It may rely too heavily on the tool and not encourage users to develop their skills in identifying plagiarism.
  1. Writer

Similar to Originality, Writer.com’s AI Content Detector tool also uses artificial intelligence and machine learning to check the originality of the text. It is among the the best AI content detection tools. The tool works by comparing the text being checked against a database of other texts to identify similarities. When a user submits text to Writer.com’s AI Content Detector, the tool scans the text and compares it to a database of other texts, including academic papers, websites, and other sources. The tool looks for similarities in the text, such as identical or similar phrases, sentences, or paragraphs. Here are the pros and cons to look for:

Pros:

  • Using NLP, it cannot just detect AI content but even helps brands get unique content to elate their image
  • Free for up to 1500 characters (nearly 300 words)
  • Can quickly create different types of content like social media copy, articles, quora answers, emails, etc.
  • It can quickly and efficiently check large amounts of text for plagiarism
  • Users can also get numerous suggestions regarding citations and referencing
  • It has an extension that you can add to Chrome, Word, Edge, Docs, etc.

Cons:

  • Might fail to detect plagiarism every time
  • It is also prone to false positive, which mean that sometimes even human-generated content can be detected as AI-generated. Phew!
  1. Copyleaks

Whenever we talk about plagiarism, we talk about Copyleaks. This company mainly works on helping companies be free from plagiarism. Apart from it, it also has a free tool that allows free 300-word AI content detection. But, should it be relied upon?

Pros:

  • Free to use
  • Covers different language models
  • Provides chrome extension
  • Best for plagiarism
  • APIs for large-scale detections

Cons:

  • Does not provide a measurement of how much content is original
  • The AI detector is a beta version, which means in the future it might be chargeable
  1. Crossplag

Like other AI detection tools, Crossplag is based on machine learning and NLP. It is among the the best AI content detection tools. The software shows results on a scale of red to green, where red means unoriginal content and green means original. Crossplag is a powerful tool, forged by the brightest minds in the field of technology, that uses advanced algorithms to scan your text and identify any instances of plagiarism, big or small, with reasonable accuracy. Here are the pros and cons of Crossplag:

Pros:

  • Supports over 100 languages
  • Simple UI that detects plagiarism with reasonable accuracy
  • Could be helpful in several work areas like SEO, academics, corporate content, etc.
  • LTI integrations
  • Uses the latest tech in NLP and ML

Cons:

  • Not well adept to the latest GPT model
  • Pricing could be an issue for some
  • Where its plagiarism is reasonably good, its AI detection may give out false positives
  1. Kazan

Considering companies’ current focus on SEO, Kazan came up with its SEO-based content generation and optimization app. It is among the the best AI content detection tools. Apart from SEO, Kazan is capable of generating AI-based content too. It also uses the NLP model to generate and detect AI-based content. Here are possible pros and cons to consider before paying for its services:

Pros:

  • Can process GPT3 model
  • Simple interface
  • Far excels the other free tools out there
  • Can scan content in bulk
  • Free-to-use tool

Cons:

  • Needs a minimum of 200 and a maximum of 400 words to process the results
  • Has a bit distractive interface that could feel annoying at times
  1. GLTR

GLTR, or Giant Language Model Test Room, works on detecting the GPT language model. It is among the the best AI content detection tools. It was developed by a team hailing from MIT-IBM and Harvard NLP. The interface is very basic and can help you detect artificially generated content through its natural language processing (NLP) algorithm. Here are the pros and cons to consider:

Pros:

  • Can work well on the GPT model
  • It is free for all users
  • Provides results with reasonable accuracy
  • Provides results with visualization

Cons:

  • The scientific language used could be vague for non-tech users
  • User interface is a bit complex
  • Detection is limited to the GPT database
  1. ai

Founded in 2018 by Ziang Xie, this tool has become an excellent AI detection tool in no time. It is among the the best AI content detection tools. It claims to be an excellent messaging assistant for companies that deal with customers. However, apart from being a messaging tool, it also helps companies detect AI-generated content. But how good is it at doing this?

Pros:

  • Offers excellent grammar and spell checking
  • Extension and add-ons for Google Chrome and Docs
  • Creates excellent content like emails, blogs, etc., using NLP
  • Offers quick and excellent messaging support
  • Integration with over 40 websites and applications

Cons:

  • No extension yet for the Mac browser
  • Integration lacks quality
  • Has no add-on for Google Slides
  1. OpenAI Text Classifier

The OpenAI Text Classifier is a tool from OpenAI, an organization specializing in artificial intelligence. It is among the the best AI content detection tools. Its main job is to tell the difference between human-written and AI-written text. As OpenAI is a leader in creating AI-generated content, they have valuable insights into detecting it. The Classifier is not always 100% reliable (like any other tool on this list), but it usually works best with longer input text. OpenAI offers this Classifier for public use, free of charge, just like its ChatGPT 3.5 tool.

Key Features:

  • High accuracy for finding out if the author was human or AI
  • Free and available to all
  • Easy integration with APIs

OpenAI brought generative AI into the limelight, and with the Text Classifier, it is now bringing awareness to even the ugly sides of this technology. For those of you who trust OpenAI and ChatGPT, this is a great AI content finder to use.

Thank you for joining us on this exploration of AI content detector tools, and we hope this blog has provided valuable insights and guidance for leveraging these tools in your own endeavours.

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Community Health in Nursing

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Community Health in Nursing

A quality initial response to the Discussion Question should be roughly 400 words.

Discussion Question:

Answer the following questions honestly (safe space).

  1. How does a person’s difference in age, culture, race, gender and living situation impact your comfort as a nurse in communicating with them?
  2. While growing up, how were OAs treated in your family, culture, community and in society (identify the year range).

Your initial posting should be at least 400 words in length and utilize at least one scholarly source other than the textbook.

 

LEARNING MATERIAL

 

SAMPLE ANSWER

Community Health in Nursing

Question One

Navigating the unique needs of patients is very unnerving. So much so, that I am in constant fear of offending my patients members of their families. The fear mostly stems from not knowing about the crucial cultural or religious practices of my patients or witnessing aspects of their culture that goes against my personal beliefs and convictions. This fear affects my everyday routines including maintaining eye contact, touch or observing verbal and non-verbal communication with patients. When interacting with patients from different cultures, I am mindful of my mannerisms and I try to be respectful. Communicating with the elderly is extremely challenging and requires special skills. To improve my communication techniques with this group, I took it upon myself to pursue extra training. I also acquired tips to effectively communicate with younger patients. Time is always a consideration when conversing with younger or older patients. To facilitate communication, I have learnt to be patient, explain myself clearly and involve family members in the decision-making process. As a nurse, I struggle with communicating or assessing individuals who identify outside the traditional gender binary of man or woman. When dealing with transgender patients, I have to respect their identity by using correct terminologies in all forms of communication (Walsh and Hendrickson, 2015). As a nurse, I play a critical role in delivering essential health services to my patients and the community in general. Effective communication is at the core of this goal. Therefore, I make a conscious effort to increase communication with patients and their families to lessen medical errors and create positive outcomes for everyone involved.

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Question Two

I remember when growing up, my grandmother at 52 was still working in human resources, at a research company. Her fast-paced career required her to travel, set up meetings and participate in training activities. While a majority of her age mates were settling down and planning their retirement, my grandmother went back to school and completed evening classes in nursing. She refused to slow down and as such, was held in high regard in our family. However, there was a negative cultural attitude towards the elderly and aging while I was growing up. Society would glorify youth while the elderly were often associated with hostility and grumpiness. Growing up, comedies and movies in general painted a negative picture of the elderly. They were never conveyed as being full of life, of being the best employees like my grandmother, or in other myriad of roles that the youth were given. Age stereotypes were often accepted. Signs of natural aging were strongly fought against and were viewed as sources of shame and embarrassment. As such, I saw many people turn to plastic surgery to fight any appearance of aging. In our home, my grandparents’ experience and wisdom was highly respected. They were a source of wisdom and offered to support to all members of our family. When asked, my grandmother often reports that her life is more satisfying now that she is older than when she was younger. However, older adults are still subject to cultural attitudes that devalue them and make them feel invincible.

 

 

References

Walsh, D. and Hendrickson, S.G. (2015). Focusing on the “T” in LGBT: An Online Survey of Related Content in Texas Nursing Programs. J Nurs Educ, 54(6), 347-351.

 

 

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Business Case for a New Economic Opportunity

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Business Case for a New Economic Opportunity

Business Case for a New Economic Opportunity

OVERVIEW

Report on risk and mitigation and the costs and benefits of a proposed initiative.

As a master’s-level health care practitioner, you are expected to consider a number of factors when analyzing the feasibility of a new initiative. For example, you need to keep in mind the various types of risk (such as patient safety, physical plant, financial, or reputation), as well as the present and future value of the service line or economic opportunity into which you are investing resources. You also must balance the competing considerations of your ethical and moral responsibility to provide quality care to patients and populations, while also protecting your care setting’s assets and economic viability in the near and long terms.

Note: Complete the assessments in this course in the order in which they are presented.

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

  • Competency 1: Analyze the effects of financial and economic factors (such as cost-benefit, supply and demand, return on investment, and risks) in a health care system on patient care, services offered, and organizational structures and operation.
    • Analyze the opportunities and risks relevant to a proposed economic initiative.
    • Analyze the costs and benefits of a proposed economic initiative over a five-year time horizon.
  • Competency 2: Develop ethical and culturally equitable solutions to economic problems within a health care organization in an effort to improve the quality of care and services offered.
    • Propose potential ways to keep costs under control while maximizing the benefits of an economic initiative and ensuring that it remains ethical and culturally equitable.
  • Competency 3: Justify the qualitative and quantitative information used to guide economic decision making to stakeholders and colleagues.
    • Justify the relevance and value of the quantitative and qualitative economic, financial, and scholarly evidence used to support recommendations throughout a report.
  • Competency 4: Develop ethical and culturally equitable economic strategies to address dynamic environmental forces and ensure the future security of an organization’s resources and its ability to provide quality care.
    • Propose ethical and culturally sensitive solutions to address the risks associated with an economic initiative to ensure the future security of a care setting.
  • Competency 5: Apply various communication methods in order to clearly, effectively, and efficiently relate information to stakeholders and colleagues related to economic data, findings, and strategies.
    • Communicate a business case in a logically structured and concise manner, writing content clearly with correct use of grammar, punctuation, and spelling.
    • Effectively support a report with relevant economic data and scholarly sources, correctly formatting citations and references using current APA style.

Assessment Instructions:

In this assessment, you will conduct a risk and mitigation analysis and cost-benefit analysis and report on your findings.

Scenario

The senior management of your care setting has reviewed your Executive Brief: Proposal of a New Economic Opportunity and has decided that it has merit. As a result, you have been asked to take a more detailed look at the feasibility and cost-benefit considerations of implementing your proposed economic initiative over the next five years. The senior management is looking for a 3–5-page report that builds a business case for your economic initiative by analyzing ways to mitigate the risks associated with your original proposal and a completed cost-benefit analysis using the Cost-Benefit Analysis Template, linked in the Resources.

Directions

You have been asked to ensure that your report addresses the following. Note: The bullet points below correspond to grading criteria in the scoring guide. Be sure your work is, at minimum, addressing each of the bullets below. You may also want to read the scoring guide and the Guiding Questions: Business Case for a New Economic Opportunity document, linked in the Resources, to better understand the performance levels that relate to each grading criterion:

Part 1: Risk and Mitigation Analysis

Complete the following:

  • Analyze the opportunities and risks relevant to your proposed economic initiative.
  • Propose ethical and culturally sensitive solutions to address the risks associated with your economic initiative to ensure the future security of your care setting.
Part 2: Cost-Benefit Analysis

Complete the following:

  • Analyze the costs and benefits of your proposed economic initiative over a five-year time horizon.
  • Propose potential ways to keep costs under control while maximizing the benefits of your economic initiative and ensuring that it remains ethical and culturally equitable.

Address Generally Throughout Business Case

Complete the following:

  • Justify the relevance and value of the quantitative and qualitative economic, financial, and scholarly evidence you used to support your recommendations throughout your report.
  • Communicate your business case in a logically structured and concise manner, writing content clearly with correct use of grammar, punctuation, and spelling.
  • Effectively support your report with relevant economic data and scholarly sources, correctly formatting citations and references using current APA style.

Example Assessment: You may use the assessment example, linked in the Assessment Example section of the Resources, to give you an idea of what a Proficient or higher rating on the scoring guide would look like.

Additional Requirements

Your assessment should meet the following requirements:

  • Length: 3–5 double-spaced, typed pages. Your paper should be succinct yet substantive.
    • Be sure to include a title page and reference list.
    • Your completed Cost-Benefit Analysis Template should be included as an appendix within your final business case submission.
  • APA format: Resources and citations are formatted according to current APA style.
  • Resources: Cite 4–5 authoritative and scholarly resources. Be sure to include specific economic data and support as part of your cited resources.

Questions to Consider:

As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.

  • What kinds of quantitative data can support proposals for change in a health care setting? What kinds of qualitative data can do so?
  • What are the five different types of comparative economic analysis?
  • What are some realistic and feasible recommended alternatives for health care issues and problems that currently impact your work? What would be the costs of pursuing those alternatives? What would be the benefits?
  • When and how are the following methods for valuation best used?
    • Human capital.
    • Risk preference.
    • Contingent valuation.
    • Cost-benefit ratio.

 

SAMPLE ANSWER

Business Case for a New Economic Opportunity

Introduction

Mayo Clinic is a healthcare organization in Rochester, Minnesota. The clinic is a multispecialty hospital that integrates research, education and clinical practice. Mayo clinic aims to develop an Express Care Model to provide urgent care to patients. The Express Care Model helps to provide immediate healthcare services to patients in populated regions. The shortage of healthcare practitioners often leads to long queues as the patients wait to be served (Chang, Brundage & Chokshi, 2015). The healthcare institution not only aims to offer routine screening, but also provide treatment for minor injuries, treat illnesses, refer patients and conduct flue tests. Therefore, the business case outlines an economic strategy for five years by evaluating opportunities and risks for the business case and develops ways of reducing the risks associated with the business.

Part 1: Risk and Mitigation Analysis

Opportunities Associated with the Proposed Economic Initiative

To determine the risk and opportunities of the business case, both the microenvironment and microenvironment of the express care model will be examined. There are about 3.8 million people living in Minnesota, and developing an express care strategy can ensure remarkable economic growth for Mayo clinic (US Department of Labor, 2019). Therefore, creating an emergency care facility will help reduce the burden of healthcare provision and overcrowding of patients in ER departments.

Business Case for a New Economic Opportunity

The ER department often cares for about 250 patients every day. There are also patients who leave without being cared for or leave because the bills are too expensive that they cannot afford (American College of Emergency Physicians [ACEP], n.d.). The Express Care would ensure hospital services are affordable particularly for the low- and middle-income individuals. Most patients in the ER department often do require emergency care and sometimes they are forced to leave without being cared for. The Express Care Model can be used to ensure such patients receive attention of healthcare practitioners to ensure that they are treated appropriately.

Revenues from the emergency department will be critical in providing additional revenue for the Mayo clinic. The local ER departments would be able to get more patients requiring emergency treatment because of the referrals that the facility would get. Providing treatment to the locals would also help develop trust between the clinic and the community.

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The Mayo Clinic can handle both minor and critical injuries among patients. This means that the clinic can also offer more assistance to patients to guarantee positive outcomes. Such aspects set the hospital apart from other healthcare institution that provides emergency care or similar services to patients (Gurganious & Greenfield, 2015).  Mayo Clinic will ensure that patients are provided with adequate and quality care in all their healthcare needs. Improving patients’ outcomes leads to satisfaction and loyalty, and the patients would revisit the clinic every time they have a healthcare issue and also refer the clinic to other patients.

Risks Associated with the Proposed Economic Initiative

The use of the Express care model has potential risks. There are several urgent care services provided in Minnesota, and other healthcare institutions have also employed the model in their ER departments. According to the American College of Emergency Physicians (2019), about 72% of emergency physicians care for patients that need urgent care, but sometimes there are no equipment that can ensure efficient delivery of health care services. Such issues are critical that could make patients opt for Mayo clinic that will be well equipped with facilities that could help patients to save costs while attending the emergency departments. Lack of enough healthcare facilities forces many hospitals to refer patients to other healthcare institutions increasing the cost of care for the patients as well as compromising their health due to delayed treatment. Mayo clinic needs to source finances with the help of the organization’s leadership and to involve stakeholders before the initiation of the project.  Availability of equipment and facilities at the clinic would be necessary for ensuring the project is successful.

Business Case for a New Economic Opportunity

Chances of misdiagnosis is another risk that the hospital needs to consider. Because of the high number of patients being cared for on the same day, the physicians can experience burnout which would affect their efficiency. This can lead to medical errors that may put patients’ lives at risk. Therefore, the clinic needs to develop critical interventions to reduce the problems of misdiagnosis. Employing more nurses will be valuable in improving nurse-to-patient ratio to the required level. Nurses and physicians should be enough to ensure they have enough time to care for each patient. Specialized training is also critical to ensure nurses do not cause medical errors such as misdiagnosis (Sanborn, 2018). Medical mistakes may lead to critical ethical and legal issues that may put the organization’s reputation at risk. Nurses and physicians need to be advised to take breaks in the cause of treatment, report errors, and work for few hours to ensure instances of misdiagnosis due to burnouts do not occur.

Part 2: Cost-Benefit Analysis

Costs and Benefits of the Proposed Economic Initiative

            The express care model has costs and benefits that would be critical to ensure its success. To develop the express care model, the value and advantages of the project have been calculated for the next five years using the 11% discount rate. The discount rate of the present value is determined using the estimated return on that target and the standard capital costs. The capital costs include what will be required to ensure renovation of the care facility as well as the costs for purchasing new equipment and furniture. The cost of operation will consist of employee salaries, insurance, liability, furniture costs, utility costs, and equipment costs. It is projected that the project will cost almost $380,000 and this will also include marketing as well administrative costs.

Business Case for a New Economic Opportunity

According to Gurganious and Greenfield (2015), the care setting dealing with emergency services should have both part-time and full-time physicians and a part-time physician assistant (PA) or nurse practitioner and a medical assistant (MA). Therefore, Mayo clinic will operate every year based on the community needs and upon review on its performance, employees would be added if the revenue and influx of patients increase. Based on the US Department of Labor (2019), the operation costs in the first year will be $30,000 for a medical assistant, $112,000 for a PA or NP, $230,000 for a physician, and $25,000 for a secretary or patient representative. The Economic Policy Institute (2018) considers that the growth of salaries in the healthcare sector is estimated to be about 2%. Mayo clinic will base its employees’ wages by reviewing the estimated amount of salary growth every year. More funds may be needed in the future in case the organization employs more employees to care for the increased influx of patients.

The utility cost is projected to increase every year, mainly due to the increase in patients coming to hospital for services as well as the increased number of physicians and supporting staff. The present value of the hospital for the five years will, therefore, be approximately $4,649,282.47, as observed in Appendix 1. The net revenue is calculated using the charge or bill of each client. According to Qin, Prybutok, Prybutok, and Wang (2015), the average number of patients who visit the hospital for urgent care is about 60 to 80 patients. Mayo clinic estimates a total of 70 patients being served every day resulting in a cost of $135 per visit. The operation cost for the first year will be about $3,439,800 and it is estimated to increase for the next five years at a rate of 5% p.a. The 11% discount rate in the five year time is expected to be $11,150,769.42. Final calculations indicate that the net benefits for Mayo clinic will be about $6,501,486.95 indicating that the project will make an economic sense and increase revenue for the organization.

Business Case for a New Economic Opportunity

Ways to Keep Costs under Control While Maximizing the Benefits

The hospital operations need to be economically viable based on the projected net revenue after five years in order for the project to be successful. Regulatory costs control will be maintained through the managing the number of employee as well as cost of care delivery. Overhead costs that are not directly linked to the delivery of care but affects the total cost of service delivery will also be monitored. Other significant expenses that needs to be monitored include essential utilities, insurance, supplies, equipment replacement and repairs, and building maintenance.

Tracking the maintenance records and logs will allow Mayo clinic to reduce sudden breakdown of equipment. Equipment that need attention should be repaired before they completely breakdown. The utilities will be reviewed by the management team every year to ensure the clinic is running efficiently and excessive spending is control. Besides, managing the insurance, internet and phone costs throughout the five years will be critical. Costs will also reduce through monitoring daily operations regularly. Donated supplies will be accepted and reusing office supplies will be considered.  Thus, the project will ensure the facility has best equipment and facilities, and the environment is conducive for proper delivery of health care.

Business Case for a New Economic Opportunity

Conclusion

In conclusion, the development of an Express Care Model by Mayo Clinic will help the provision of urgent care to patients. The model will be imperative to provide immediate healthcare services to patients in populated regions with few healthcare practitioners. The Mayo Clinic will provide patients with regular screening and treatment to patient who needs emergency care to help reduce the burden of healthcare provision and overcrowding of patients in ER departments. In order to be successful, the model would require careful implementation and monitoring for next five years. The discount rate, capital costs, cost of operation, utility cost, regulatory control costs, overhead costs, would be critical control of excessive spending. The main risk of the project includes lack of healthcare facilities to ensure the provision of quality care. Having enough equipment and facilities to improve patient health would be necessary to ensure the project is successful.

 

References

American College of Emergency Physicians [ACEP] (n.d.) Urgent Care. Retrieved from http://newsroom.acep.org/2009-01-04-urgent-care-fact-sheet

Chang, J. E., Brundage, S. C., & Chokshi, D. A. (2015). Convenient ambulatory care —

Promise, pitfalls, and policy. The New England Journal of Medicine, 373(4), 382–388. Doi: 10.1056/NEJMhpr1503336

The Economic Policy Institute. (2018). Nominal wage tracker. Retrieved from https://epi.org/nominal-wage-tracker/

Gurganious, V., & Greenfield, D. (2015). Starting an urgent care center five essentials for success. Medical Economics, 92(11), 47–48. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26298963

Qin, H., Prybutok, G. L., Prybutok, V. R., & Wang, B. (2015). Quantitative comparisons of urgent care service providers. International Journal of Health Care Quality Assurance, 28(6), 574–594. Doi: 10.1108/IJHCQA-01-2014-0009

Sanborn, B (2018). Urgent care centers grow in number, reach thanks to comprehensive capabilities, convenience, and demand. Business intelligence Journal. Retrieved from https://www.healthcarefinancenews.com/news/urgent-care-centers-grow-number-reach-thanks-comprehensive-capabilities-convenience-millennial

US Department of Labor (2019). Occupational Employment Statistics. Retrieved from https://www.bls.gov/oes/oes_emp.htm

 

 

Appendix: Cost–Benefit Analysis over a 5-Year Period

 

Business Case for a New Economic Opportunity

Business Case for a New Economic Opportunity

 

 

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Ventilator Alarms in Nursing Informatics

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Ventilator Alarms in Nursing Informatics

This is a Master level paper. The professor want us to use the resourses he provided. APA format, in text citation, refernce page and 100% originalNo running head please .

 

Describe the project to be propose.

Be specific, what kind of project are we proposing?

For example

1.     How to improve upon medical alarms system such as

2.     IV pumps alarms

3.     Ventilator alarms

4.     Patient initiated call bells

5.     Staff initiated code-alarms

Must be interface with electronic medical record and wireless communication devices for standardization.

Clearly define a project, something we want to invent to promote better nursing care and patient safety. It’s should be a technology. Not nurse ratio due to computer system

Identify the stakeholders impacted by this project.

Who are our stakeholders? You have to mention. Be specific

Explain the patient outcome(s) or patient-care efficiencies this project is aimed at improving and explain how this improvement would occur. Be specific and provide examples.

Identify the technologies required to implement this project and explain why.

Identify the project team (by roles) and explain how you would incorporate the nurse informaticist in the project team.

SAMPLE ANSWER

Ventilator Alarms in Nursing Informatics

Introduction

Nursing informatics is a revolutionary health discipline that commits to adopting a data intensive approach to population health. By utilizing advances in information technology and computer systems, nursing informatics arms the nurse with tools that enhance her data gathering and processing abilities. This project proposal aims at installing ventilator alarms systems in the respiratory department of my health organization and interfacing the system with electronic medical records. Enhanced decision making from therapists is a key drive for this improvement program. Other discussion topics include the range of stakeholders involved, patient outcomes projected, and the relevant technologies for implementation.

Ventilator Alarms and Nursing Informatics

Project Description

            Ventilators are life-critical systems employed by intensive care givers such as emergency care providers to aid patients who are at risk of respiratory failure (Korniewicz & Kenny, 2017). The equipment is comprised of air reservoirs that are pneumatically compressed to deliver a mixture of air and oxygen to the patient. To meet the different patient needs, ventilators can be adjusted to deliver the precise ventilation. Invasive and non-invasive approaches are adopted for different patients (Korniewicz & Kenny, 2017).

Ventilators play a life-saving role by ensuring care nurses are informed of the patient’s progress. This is achieved through a system of alarms that warn of any excesses in inhaled and exhaled volume measurements (Korniewicz & Kenny, 2017). Key alarms considered include: high airway pressure alarms, low airway pressure alarms, low and high rate alarms, high and low expiratory volume alarms, and high and low inspiratory volume alarms (Korniewicz & Kenny, 2017). The magnitude of the different causes that result in these ventilator alarms makes it challenging for intensive care nurses to exactly pinpoint the reasons for the alarms (Korniewicz, Clark & David, 2008). This hinders effective response from the care givers leading to relatively lower patient outcomes (Gazarian, 2014).

Ventilator Alarms in Nursing Informatics

Hence, the approach adopted by this project proposal will involve developing extensive interface networks with the electronic medical records and linking the alarm systems with remote wireless devices (Korniewicz & Kenny, 2017). This program envisions that ventilator alarms are effectively communicated to nurse informaticists and therapists in the respiratory department. In cases where several patients are on ventilation these improved systems will enable faster detection and response from care givers.

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Program Stakeholders

            Critical respiratory care patients form the bulk of patients with a direct interest in the program. Long term dependence on ventilators is necessary for patients with conditions such as chronic obtrusive pulmonary disease (Korniewicz & Kenny, 2017). This may call for invasive ventilation methods making the patients a key target of the ventilation enhancement program. Non-invasive methods are also applicable to pulmonary patient who may only require ventilation during rest or sleep. Their reliance on ventilators marks them as a key target group. Ventilators are also necessary equipment to support patient breathing when under anesthesia.

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As health reforms are increasingly geared towards a patient centric approach, considering pulmonary patients as key stakeholders’ means that more attention will be directed towards ensuring better outcomes for this patient population group. Ventilation in Intensive Care Units (ICU) is a process with life/death implications hence the need to consider pulmonary patients as vital stakeholders. This helps to channel efforts towards more efficient processes with better patient satisfaction scores.

Respiratory therapy staffs including clinical and nursing personnel form another important group of program stakeholders. This group should particularly be versed with information technology skills that will facilitate their effective handling of ventilators and the integrated alarms systems (Mamta, 2014). Setting the ventilator alarm parameters to suite individual patient needs is a highly technical skill that requires the direct participation of the interprofessional personnel in the quality program.

Patient Outcomes and Efficiencies

            An essential component of the ventilator program is the management of the alarm systems. Establishing some of the industry’s best practices within the respiratory department will mean that the department’s nurses will respond more effectively to the demands of the patients. Clearly establishing the alarms for the different parameters such as minute volume, respiratory rate, and exchanged tidal volumes implies that the nurse will have an upper hand in decision making that facilitates effective responses (Korniewicz & Kenney, 2017). The result of this improved efficiency implies that patients will have better satisfaction scores from the improved patient outcomes.

Critically also, nurses working with patients under ventilator care will have less burden occasioned by the analysis of the different ventilator alarms. Ventilator alarms typically vary depending on the manufacturer making it difficult for the therapists to identify which conditions are leading to the alarm (Korniewicz & Kenney, 2017). Standardizing the alarm systems goes a long way in ensuring that nurses are only left with the critical task of attending to the patient’s needs (Saeed, Villarroel, & Reisner, 2011). These improvisations imply that nurses will be better satisfied with their contributions thereby lowering their turnover rates.

Integration of the ventilator alarm systems with electronic patient records and related databases contributes to collaboration of clinical services including analysis of patient data from remote locations (Saeed et al., 2011). This technology considers that clinicians may not always be available on site but remote tools such as phone applications enable their contribution in decision making. This effectively tackles the challenge of physician shortage experienced in respiratory departments.

Relevant Technologies

            An essential technological boost to the ventilator alarm systems will involve the adoption of alarm notification through applications on Wi-Fi phones. These notifications will help therapists to pinpoint the locality of the alarms in instances where a number of patients are on ventilators. Remotely analyzing the patient conditions from their phones also saves nurses the time required to make rounds by the patient bedsides (Mamta, 2014). This quality improvement promises rapid action from the clinicians and nurses for enhanced outcomes.

Applying advanced heuristics such as AI means that ventilators will be able to assist nursing informaticists and other interprofessional in decision making. This is achieved by the computational abilities of the ventilators to determine the appropriate course of action from the knowledge base acquired throughout their service period as well as information made available by informaticists from other ventilator databases (Saeed et al., 2011).

Specifying the alarm priorities of the ventilators will be substantial since nurses will be able to work more effective by reacting to high priority calls first. This technology contributes to lessening nurse fatigues by appropriately determining the course of action. Ventilator auto correction systems will be in place to effectively resolve the challenge of false alarms which are common in the respiratory intensive units (Korniewicz & Kenney, 2017).

Project Team

        Clinical and nursing staff form an essential core required to ensure the sustainability of the ventilator program. Keeping track of the various signals and alarms is essential to the health of the patient making the decision making input from the respiratory therapy staff invaluable. Administration of treatment contributes to improved respiratory outcomes. The nurse informaticists also play a critical role of data management. This is achieved primarily through data gathering, and analysis frameworks that enable a harmonious interoperability of the different technologies necessary for quality respiratory care (Mamta, 2014). Informaticists also contribute to information decision making by prioritizing vital information from the multitude of data collected by the electronic health systems. The biomedical technologist is also a vital component of the staff. By effecting maintenance services for the ventilators, he ensures that the systems are reliable enough for highly accurate decision making (Saeed et al., 2011).

Conclusion

            The enhanced ventilator alarms program is a quality improvement initiative aimed at higher pulmonary patient satisfaction rates. Allowing ventilators to access patient databases enhances record keeping and decision making capabilities of the therapists. Providing nurses and clinicians with remote monitoring systems such as mobile phones immensely reduces the workload of the nurse who can now dedicate more time to decision making.

References

Gazarian, P. K. (2014). Nurses’ response to frequency and types of electrocardiography alarms in a non-critical care setting: a descriptive study. Int J Nurs Stud, 51(2), 190–197.

Korniewicz, D. M., Clark, T., & David, Y. (2008). A national online survey on the effectiveness of clinical alarms. Am J Crit Care, 17(1), 36–41.

Korniewicz, D. M., Kenney, B. D. (2017). Preventing Ventilator Alarm Fatigue. Retrieved from http://respiratory-care-sleep-medicine.advanceweb.com/Features/Articles/Preventing-Ventilator-Alarm-Fatigue.aspx.

Mamta, A. (2014). Nursing Informatics: The future now. IOSR Journal of Nursing and Health Science. 3(2). Retrieved from www.iosrjournals.org.

Saeed, M., Villarroel, M., & Reisner, A. T. (2011). Multiparameter intelligent monitoring in intensive care II: A public-access intensive care unit database. Critical Care Medicine, 39(5), 952–960.

 

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