Mandatory Nurse-Patient Ratios Free Essay

Introduction

Appropriate nurse staffing is a very complicated procedure that varies per shift. For mandatory nurse-patient ratios to work, there must be close coordination between management and nursing, as well as a careful assessment of patient acuity, patient turnover, the availability of support workers, and the location of care. Over the last two decades, hospitals have faced financial insecurity as a consequence of declining payer payments, increased acuity patients, and expanding rivalry from competing organizations. As a result, hospitals are always looking for cost-cutting measures. Given that registered nurse pay and benefits account for a significant amount of total hospital expenditures, hospitals have sought to cut nurse employment in order to save money and improve profits (Olley et al., 2019). However, empirical research has shown that proper nurse staffing results in improved outcomes for both patients and nurses without impairing a hospital’s financial success.

Impacts and Benefits of Mandatory Nurse-Patient Ratios

At any one moment in the United States, a registered nurse may care for no less than three patients. Patients are put at risk and health outcomes degraded as a result of RNs having to care for more patients than is safe. By requiring a minimal patient-to-nurse ratio, this bill would protect the public and improve health care. Nurses’ ability to keep patients safe depends on their ability to pay close attention to them at the bedside (Rastogi & Chertow, 2018). The ability of a nurse to provide safe care is always weakened as the number of patients she is assigned becomes larger. Patient acuity, admissions, transfers, and discharges, nursing staff skill mix and experience, the architectural layout of the nursing unit, and access to technology and other resources all play a role in nurse staffing.

Being a science-based job, nurses are more educated than other professions. Additionally, being a holistic profession, nurses are aware of the need of individualized treatment for patients. Smaller patient groups allow for more time to be spent with each patient, which allows the doctor to better calm, evaluate, monitor, and intervene as needed. It also gives the doctor more time to educate and comfort worried family members about their loved one’s progress in treatment (Rastogi & Chertow, 2018). In order to help people, we must equip the nurses with sufficient resources, and ensuring that the facilities we work in have enough personnel is a key part of that process.

A uniform, high-quality treatment standard is required for every patient. Adequate patient staffing has shown to reduce patient mortality, readmission after discharge and recovery across decades of research. Nursing’s advocacy voice and our union contracts would protect our patients from the repercussions of delayed treatment, including medical blunders, health care disparities, and infections if ratios were included into federal legislation and regulation as well as our union contracts (Olley et al., 2019).

Conclusion

As far as public policy is concerned, there may be a greater need for government agencies to help the United States maintain a sufficient supply of nurses, given the empirical evidence of the influence of nursing on both quality of care and financial consequences. Hospitals and other health care facilities need to implement additional measures to guarantee adequate staffing levels because of current nursing shortages and a lack of effective strategies to boost the supply of nurses (Olley et al., 2019). For both public and private payers of medical care, the financial advantages of nursing services may also be observed through reducing length of stay and preventing hospital-acquired adverse events. This helps to connect quality of care with compensation.

References

Olley, R., Edwards, I., Avery, M., & Cooper, H. (2019). Systematic review of the evidence related to mandated nurse staffing ratios in acute hospitals. Australian Health Review43(3), 288. https://doi.org/10.1071/ah16252

Rastogi, A., & Chertow, G. M. (2018). Mandating staffing ratios in hemodialysis facilities. Clinical Journal of the American Society of Nephrology13(7), 1110-1112. https://doi.org/10.2215/cjn.03030318

Marketing Health Insurance University Essay Example

Introduction

One of the best aspects that keep health insurance companies in the business is advancement in marketing. Currently, the eruption of the covid-19 pandemic has increased the influx of people who need health insurance covers. Insurers are struggling due to increased demand for online and offline support services. To keep up with the pace of increased demand in the market, every managing department in health insurance companies is in a bid to improvise efficient means to improve service delivery. Among the companies in this sector who have been able to achieve success in their service delivery are said to have embraced the policy of Artificial Intelligence (AI).

Notably, health insurance companies are also in business, and the only sure way to keep them in business would be to come up with very informed marketing strategies. Therefore, Artificial Intelligence has proved to be one of the approaches to reckon with as far as marketing is concerned. It entails performing tasks that usually require human intelligence through computer system developments. It achieves this through applications that include software simulation and robotics. Artificial Intelligence serves as the most appropriate online conversational agent. This paper explores the challenges and the opportunities that come with incorporating AI as an online conversational agent.

Challenges

For every idea to be wholly embraced by its targeted audience, challenges must face it whatsoever. Artificial Intelligence in health insurance is not exceptional. Furthermore, challenges exist to be overcome. The beauty of insurance companies is that they are bound to risk. Hence, they put everyday challenges into account in all their undertakings. A survey conducted by a Teradata firm dealing with data analytics shows that 32 percent of enterprise-level companies in marketing use AI in their business. However, 90 percent of these companies declared challenges for adopting and integrating AI as a significant barrier (Paschen et al., 2019). Insufficient IT infrastructures, poor data quality, budget insufficiency, and lack of talented personnel stand as the main challenge here, among others.

AI tech processes massive data and needs a robust IT infrastructure to operate. Therefore, for this marketing strategy to bear fruit in health insurance, they must set up expensive computer systems. Further, maintenance costs and frequent updates have to be incurred. Insurance companies with ample reserves are likely to sail through without much ado in such a scenario. Companies that stretch their finances to facilitate this system suffer and cannot operate, something possible to demotivate customers and maybe opt to look for services elsewhere.

Data quality is another determinant of the number of challenges that faces an insurance company if it goes for Artificial Intelligence as a means of marketing. High-quality data is required failure to, which results in losses in business. If AI is not fed with quality data or the amount of information be insufficient poor results will be achieved. If customers get little data about an insurance company or no data, they are not likely to subscribe to the company’s services. The insurance company is moving towards a big data world and is collecting a massive amount of data. However, at times this data is not fit for a successful AI strategy for marketing.

Mistrust is a common challenge bearing in mind that AI is a new technology with some reported complexity. Therefore, people will embrace it with ease, especially if they have not been appropriately oriented about it. Insurance involves dealing with the insured’s data, and people will not be willing to reveal their privy information to a strategy they are not familiar with. If proper orientation is done, it will boost transparency, which will be the only way to improve customer count.

There has been a reported AI skills gap, which has greatly impacted health insurance companies that want to develop talents to aid them in AI marketing solutions. Additionally, this problem is anticipated to worsen as insurance companies embracing AI technology are ever-growing despite the limited number of people with the AI tech know-how. A significant setback is that even ready-made AI marketing software needs sufficient skilled personnel to manage and interpret.

Opportunities

AI tech has equally come along with many strengths that cannot be ignored. New opportunities have been realized courtesy of the AI technology and consequently improving the volume of business in health insurance. A marketing strategy has positively impacted insurance in multiple ways. Efficient claim processing, fraud detection, customer service, and underwriting have succeeded due to this technology (Dick, 2019). Mainly, opportunities coming along with AI have exponentially increased due to the rise of inaccessible data, proficiency in computing capabilities, and the changing consumer expectations.

AI has greatly improved customer services in healthcare insurance. Now insurers can incorporate machine learning and data analytics that have been able to boost, recommend, promote content, and give suggestions to answer questions from members periodically. It has put agents in the best position to help them insured quickly and with ease. Furthermore, keeping customers waiting is costly and demotivating. AI has come for the aid of these agents and can now execute their duties in the best way possible and consequently enhance business. Thanks to this marketing strategy.

Health insurers and their insured are vulnerable to fraud. Fraudsters mainly target them due to the amount of money they engage with and their large volume of customers. AI marketing has proved to solve this problem for the better. Trust, protection, and security are the primary commodities in an insurance company, so they should not be compromised. Due to its enhanced efficiency, AI can analyze vast transactions to uncover fraud trends (Hilary, 2022). Subsequently, it can detect fraud in real-time. This strategy curbed scums such as false invoices, management fraud, claim compensation, and indemnification of casualties in health insurance.

The AI tech has equally enhanced underwriting and claim processing. Underwriting in insurance is an entity undertaking to market newly issued securities. AI marketing tech has increased efficiency and workflows by accelerating the underwriting processes in health insurance (Nikodem, 2019). Underwriters can accurately realize optimal rates on individual customers, enhancing risk management. Insurers are using AI-enhance pricing models that have helped them reduce the time taken to introduce new pricing frameworks, which boost the process of underwriting. From here, underwriters can apply AI solutions to get essential information for their clients.

Claim processing has also been enhanced by AI when a customer opens an insurance claim. Through data analysis, AI has provided beneficial recommendations on claim management. Therefore, the insurer can determine eligible claims and the consistency in which claims ought to be settled. The insight gotten here has accelerated decision-making, leading to better customer experiences. The overall return is that the business has improved in health insurance with decent profit margins.

Recommendation

For businesses experiencing difficulties serving their customers due to a lack of proper marketing strategies, it is only recommendable that they embark on the most efficient marketing strategies available. However, they should not go for the ancient approach as it is not likely to achieve the deemed fruition. Instead, health insurers should opt for the current means, which are automated and fit in the digital world. Artificial Intelligence means of marketing is the best one available. The modern business field is ever advocating for innovation, for they are aware of the benefits of being innovative. Things and how they are done are changing. To cope with this change, health insurance should advance its means of service accordingly.

Conclusion

The bottom line is that health insurance companies need to advance in their marketing strategies. The AI strategy is the best option. It has been able to realize the best results despite constraints in the market. The achieved benefits include efficient service delivery to customers and improved profit margin and business volume. Generally, AI marketing has come to enhance the safety of both the insurer and the insured. The good thing with Artificial Intelligence marketing strategy is that the challenges which come with it can be easily solved. Online conversational agents should be incorporated in the modern health insurance business as the best means for marketing.

References

Bao, Y., Hilary, G., & Ke, B. (2022). Artificial intelligence and fraud detection. In Innovative Technology at the Interface of Finance and Operations (pp. 223-247). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-75729-8_8

Dick, S. (2019). Artificial intelligence. https://hdsr.mitpress.mit.edu/pub/0aytgrau

Nikodem, E. (2019). Understanding underwriting: A look inside commercial real estate insurance—breaking down the driving differentiators behind property insurance pricing. Corporate Real Estate Journal8(3), 228-234. https://www.ingentaconnect.com/content/hsp/crej/2019/00000008/00000003/art00004

Paschen, J., Kietzmann, J., & Kietzmann, T. C. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing. https://www.emerald.com/insight/content/doi/10.1108/JBIM-10-2018-0295/full/html

Marriage In Pride And Prejudice Sample Paper

During the 18th and 19th centuries, marriage was central and important in the eyes of most women and the community. This is because it was associated with the continuation of the family line through inheritance. The wealthier the man was, the better it was to marry him since it would improve the woman’s social class and her family. Most women did not get married for love, but reputation and convenience in the novel. In her writing, the author proves this point by showing the different types of unions throughout the novel and the conflict that exist due to these marriages. This paper will describe the different motivations for marriage in the novel and inform if any of them created any major conflicts.

The novel’s first and major motivation for marriage in Pride and Prejudice is reputation and social status. Some parents, family members, and other relatives struggle for long periods to get their daughters married off and make the most of their lives. At the beginning of the novel, the author informs that, ”It is a truth universally acknowledged, that a single man in possession of a good fortune, must be in want of a wife.” (Jane 3). According to the author, it did not matter if the man was handsome, ill-favored, or not. As long as he was wealthy, most parents would be fighting to marry their daughters off to him. An example of such a marriage is Charlotte Lucas and Mr. Collins. Mr. Collins, a cousin of Mr. Bennet’s, first visits the family to marry one of the daughters and inherit the estate. Since Mrs. Bennet wants to retain her wealth and status, she agrees to marry off Elizabeth to Mr. Collins with the hope of keeping their home. However, Elizabeth is not interested in the marriage and rejects him. Mr. Collins then turns to her best friend, Charlotte, whom he pretends to love. Although Charlotte knows that he is not in love with her as he claims, she agrees to the proposal to secure a better life. She believes that one should marry for wealth and status. She says that love and happiness will come later. After her engagement to Mr. Collins, she tells her friend, Elizabeth, “…I am not romantic, you know. I never was. I ask only a comfortable home, and considering Mr. Collins’s character, connections, and situation in life, I am convinced that my chance of happiness with him is as fair as most people can boast on entering the marriage state.” (Jane 119).

Another reason why women got married in the novel was for their reputation. An example is a marriage between Mr. and Mrs. Bennet. The author informs that Mr. Bennet just married his wife because she was beautiful, and now that the beauty is gone, he spends his days mocking her. Mr. Bennet could not marry any woman in his youth since it would ruin his reputation. Thus he chose the most beautiful woman ignoring her illiteracy and stupidity. Another example is the marriage between Lydia Bennet and Mr. Wickham. During that period, the reputation of young unmarried women was worth a lot. Therefore, some women, including Lydia Bennet, just got married to save their reputations. According to the author, Lydia and Kitty Bennet were wild and liked to fool around with men from the militia regiment. We are informed that Mr. Wickham married Lydia only after her parents forced him not to be seen as a fallen woman after running away with him. The author declares that Lydia puts a high value on the opinion of her neighbors, and she wanted “…all their other neighbors, and to hear herself called “Mrs. Wickham,” by each of them…” (Jane 291).

Another motivation for marriage in the novel is love. An example of such a marriage was Elizabeth Bennet and Mr. Darcy. Elizabeth is quick-witted and intelligent. When the two first meet, they are not attracted to each other. When Mr. Bingley tells Mr. Darcy about her, he says, “She is tolerable; but not handsome enough to tempt me…” (Jane 12). This offends her, and she thinks that he is proud and disagreeable. However, with time, the two are attracted to each other, and Mr. Dracy proposes to her but rejects him due to their history. However, after he explains himself through a letter, she discovers that she has misjudged him. Although many people disapprove of their union, including her mother, sister, and neighbors, they still go ahead with it. Although Mr. Dracy and Elizabeth are from different social classes, they have a happy marriage based on love and not convenience.

Lastly, some of the characters married out of necessity. During that time, society put a lot of pressure on unmarried women. An example of a marriage of necessity was Lady Catherine, who only married her husband for a title and the estate. Mr. Collins also proposed to Charlotte and claimed to be in love with her because Elizabeth rejected him. Charlotte agreed to the marriage because she was getting old and did not want to burden her family.

In the novel, most of the reasons why the characters got married led to many conflicts throughout the story. For instance, Charlotte Lucas and Mr. Collins, whose marriage was based on status and necessity, ignored each other. Although their marriage was logical and the most reasonable in the novel, it ended up causing suffering between the two. Mr. Bennet, who married his wife because she was beautiful, also hurt her. He treated her as a source of amusement just because her beauty was no more. Therefore, except for Mr. Dracy and Elizabeth, who married for love, the other marriages were short and full of conflict.

Works Cited

Jane, Austen. Pride and Prejudice. Рипол Классик, 2017.