Evidence-Based Decision Making Case Study

According to Dr. David Sackett (1996) Evidence Based Practice (EBP) is “the conscientious, explicit and judicious use of current best evidence in making decisions about the care of the individual patient. It means integrating individual clinical expertise with the best available external clinical evidence from systematic research.”

Evidence Based Practice is beyond the Advanced Nurse Practitioners and the patients, it is more and part of an organizational culture. Advanced Nurse Practitioners have to understand how literature findings can be reviewed in order to determine if they are relevant and clinically significant to the population they serve as your focus on lesbian, gay, bisexual, and transgender (LGBT) community. It is a good idea to use the evidence-based policy to implement and provide education and training. In addition to education and training, the clinical environments need to be change which can change some behaviors towards this

Evidence-Based Practice is the use of the best scientific evidence integrated with clinical experience and incorporating patient values and preferences, in the practice of professional health care (Houser & Oman, 2011). The EBP process is a system that allows health professionals to assess research and other information resources to then apply the results in their decision making process and everyday practice. This paper presents fundamental information gather through a case study conducted on EBP in healthcare.

The physicians will have the role as the promoter; they need to make sure the patients have this information, and they understand what they are reading. The physicians have to be on board and encourage all the staff to support this process change to continue to grow and meet the needs of our patients. The providers are pivotal to this process change because they have the power to help the process along or hinder it. The providers would have a great interest in this project to ensure we are utilizing evidence-based practice and meeting our patient’s needs.

Mary’s understanding has grown regarding to her knowledge of sustaining evidence-based practice (EBP). Her take away was that leaders must learn and then perform the EBP leadership skills. I agree with Mary. We can obtain all the advanced degrees and certifications, but if you do not use it, you lose it.

When it comes to finding all-around optical care in the greater Lexington, KY area, locals turn to the dedicated practice of optometrist and eye physician, James W. Matthew, M.D. At the core of it, the professionals at this practice aim to do whatever is necessary to ensure that patients’ eyes are in good health. This means that the staff here performs everything from routine examinations, glaucoma tests and treatments to more specialized work in optical surgery, all with an eye towards patient comfort and satisfaction.

One thing we know is hard when making a decision is having bias therefore if practicing evidence- based decision making you would have the best data to and evidence to create your choice with and without bias (Kreitner & Kinicki, 2013). I feel if this evidence-based decision making was used before the cheaper well was purchased this could have been avoided altogether. In this model, there are five steps to process the information before making the decision (Kreitner & Kinicki, 2013). You must identify the setback or prospect, gather information about the problem and evaluate, gather information from outside research, gather information from stakeholders and ponder ethical repercussions, collaborate all data together and make an informed decision

Evidence-based decision making exemplifies a practice of conscientiously using the best obtainable data and evidence when making managerial decisions. There are five steps in the evidence-based decision model. The first step is to identify the problem or opportunity, step two is to gather internal evidence or information about the problem and evaluate its relevance and validity. The third step is to gather external evidence about the problem from published research, step four is to gather views from stakeholders affected by decision and consider ethical implications. Finally, the fifth step is to integrate and critically appraise all data and then make a decision (Kreitner & Kinicki, 2013).

Evidence-based medicine is designed to increase the quality medical care and increase the value of medical by cutting costs through the reduction of misuse and/or overuse (Shi and Singh, 2013) EBM guidelines are represented by “best practices and proven therapies” (Shi and Singh, 2013). The work to improve these guidelines and protocols is ongoing as it seeks to improve the delivery of healthcare, into the future. Shi and Singh (2013) lists 6 recommendations for improving practice guidelines for the future (p. 352). The purpose of this jouornal entry is to offer an analysis of two of the guidelines.

Evidence-based decision making is a process of conscientiously using the best data when making decisions( Kreitner & Kinicki 2013). This would have helped avoid the disaster by having the best data letting them know that whatever solution would not work unless it was backed up by the best data. The best data means gathering data about the problem and evaluate its relevance and validity and gathering evidence from published research(Kreitner & Kinicki 2013). I think if evidence-based was used they could have seen what was going on was not such a good

Bethel University (2010) refers to the need to make the best decisions based on the data you have. This is evidence-based decision making (EBDM). Kreitner and Kinicki (2013) define EBDM as a process of conscientiously using the best available data and evidence when making decisions. There is a five step model to evidence-based decision making that includes identifying the problem or opportunity, gaither internal data or evidence about the problem and evaluate its relevance and validity, gather external evidence about the problem from published research, gather views from the stakeholders affected by the decisions and consider ethical implications, and integrate and critically appraise all data and then make a decision (Kreitner and Kinicki,

Additionally, Dove tackles social issues, attempting to promote individuality, hence, a personal style that is unique, as opposed to the real pressures stemming from social media regarding body image and fitting in (Winch, A., 2015). Data collection attained through the practice of infiltrating and mining social networks, including private, on-line groups, monitor women specifically, thus creating a digital surveillance for Dove to utilize for branding, promotion, and even learning about some consumer behaviors (Winch, A., 2015). One tool, called Leximancer, used for data-mining, in an application based on algorithms and allows for the interpretation of prose data along with a visual depiction (Campbell et al, 2011). What is gained by using Leximancer are overall interpretations and a better understanding about how consumers behave, using data and consumer generated feedback to narrow specific criteria into themes, ideas, concepts and even risk (Campbell et al, 2011). According to Campbell et al (2011) Leximancer can map the data from consumer comments once scaled down to concepts, for example, Dove ad concepts could become women and beauty. Leximancer is an attempt to understand consumer behavior and make good use of available consumer generated data, despite limitations since the comment authors are unknown or anonymous and the tool itself subjective, requiring human interpretation (Campbell et al, 2011).

Abstract— Query and Image based recommendation sorted by the method of re-ranking provides an accurate output of images based on the visual semantic signatures of the query image .In query based recommendation, keyword expansions help provide better results whereas in image recommendation, re-ranking based on priority of images accessed by other users provides more accurate results. This paper presents an Android application with basic features comprising of an image recommender system which provides a text as well as image based output on the type of query provided by the user. The input can also be text based or image based. The results obtained are re-ranked and prioritized according to user intention and also differ with respect to different users.

A weighted hybrid recommender is one in which the score of a recommended item is computed from the results of all of the available recommendation techniques present in the system [40]. The score of different recommendation components is combined numerically. Weighted combination model which implements collaborative and content-based methods separately and combines their predictions with giving adjustable weight to both recommendation [50, 115].The benefit of a weighted hybrid is that all of the system’s capabilities are brought to bear on the recommendation process in a straightforward way and it is easy to perform post-hoc credit assignment and adjust the hybrid accordingly [40]. Liu et al. [116] proposed another hybrid recommendation system to deal with the problems of content-based, demographic filtering and collaborative filterings, such as sparsity and scalability. To resolve the sparsity problem, blanks in the user–item rating matrix are first filled with a weighted average rating on items which a user has rated, where the weight of the rated item is calculated by the similarity between an unrated item and the rated item in their feature values. Then, collaborative filtering

In our project, we propose a system for effective web service recommendations incorporating users’ preferences regarding quality and diversities amongst web services. Users’ requirements are considered and mined from his usage history. Then we find functional similarities using clustering techniques followed by applying a ranking algorithm to list top-k services.