Case Based Reasoning

CPOE systems with clinical decision support systems can improve

Since its startup in 2005 its mission to disrupt the slow moving world of health care by providing a free service of Electronic Medical Records (EMR) to doctors and their facilities. This system will benefit doctors by cutting down cost, decrease medical errors, decrease mishandled or forgotten messages. It will help the overall goal of medical errors. It improves accuracy through record legibility and record

As the role of case management becomes apparent so are legal and liability claims. It makes no matter what practice setting a case manager is in they can be held for damages if their actions fall below the normal accepted standards of care and if the patient has a bad outcome. The case manager needs to be aware of the standards of care and document all intervention done. When preparing to case management a client gather information that appropriated health care history from admission to discharge. So, that appropriate plan of care can developed among the health care team to ensure positive outcome for this episode of care.

The following scenario will best reflect my practice and use of informatics.   The scenario is not representative of a particular patient but is a combination of daily events in my position so that no patient rights are violated.             I am three hours into my shift as the assistant nurse manager (charge nurse) of a busy emergency department (ED) with my responsibilities in the department being to manage the flow of a shift that will see roughly 100 new patients during the 12 hours but also oversee the care of the 5-20 long term patient who are listed as observation or inpatient holds.   We can expand to 60 beds with the use of hall beds.   I have a bank of monitors to my left which display the EKG and vital signs of over 48 patients.

A doctor who subconsciously combines the skills of “flesh and blood decision making” and “fast and frugal” actions will be more successful when dealing with a chaotic situation. There is not time to collect data and

The theory of evidence based practice is not only an approach that targets for quality of patients but also highly improves the level of accountability in the health care sector by promoting a life-time learning process. Evidence based practice addresses the compulsory need for quality research evidence and quality practice all in struggle to support the care of a patient. Below is a brief description of the five models of evidence based practice(“ LibGuides at Oregon Health & Science University,” n.d.). Ask: Get some information about the consideration of people, groups, or populaces. Acquire: Secure the best accessible proof with respect to the inquiry.

Electronic Medical Record Technology has helped with many aspects of our lives but healthcare is one that touches every single one of us at every corner of the world. There has been many advancements made to the way physicians treat patient and how they interact with one another. Technology has made it possible to share medical records with physicians all over the world. This has been archived by Electronic Medical Records. Google has made it possible to track out brakes and help physician prepare themselves for these kind of issues.

However, if no appropriate technique is developed to find great potential economic values from big healthcare data, these data might not only become meaningless but also requires a large amount of space to store and manage. Over the past two decades, the miraculous evolution of data mining technique has imposed a major impact on the revolution of human’s lifestyle by predicting behaviors and future trends on everything which can convert stored data into meaningful information. These techniques are well suitable for providing decision support in the healthcare setting. To speed up the diagnosis time and improve the diagnosis accuracy, a new system in healthcare industry should be workable to provide a much cheaper and faster way for diagnosis [1]. Clinical Decision Support System (CDSS), with various data mining techniques being applied to assist physicians in diagnosing patient diseases with similar symptoms, has received a great attention

The healthcare industry generates a great amount of data every day, as a form of record keeping, patient care, compliance, and regulatory requirements. Just a decade ago, all this data was stored in the form of hard copy form, now it is rapidly transforming to digital data which is called EMR (Electronic Medical Record). The digitalization of the healthcare has not just reduced cost of care, but also improved quality of care due to the abundance data that organizations receive from the EMR to identify the flaws in their system. I work in the healthcare industry where improving quality of care is our primary goal. We use software called eCW , which is an integrated system.

A good reasoning is a reasoning that leads to certain, true and valid conclusions. There are two kinds of reasoning, inductive and deductive reasoning. Both processes include the process of finding a conclusion from multiple premises although the way of approach may differ. Deductive reasoning uses general premises to make a specific conclusion; inductive reasoning uses specific premises to make a generalized conclusion. The two types of reasoning can be influenced by emotion in a different manner because of their different process to yield a conclusion.

Information processing theory The information processing theory is a structure which rationalises how people obtain; process and store information and knowledge (Tangen & Borders 2017, p. 99). The Information processing theory involves the clinical reasoning cycle and the information processing model. The clinical reasoning cycle is a model which guides nurses and other health practitioners in making clinical judgements (Levett-Jones 2018, p. 4).

Computerized Clinical Decision Support (CDS) aims to aid decision making relating to the health care providers and the public. It provides a mechanism involving easy accessibility of health-related information at any point and time, when needed.  Natural Language Processing (NLP) is instrumental in using free-text information stored in database over cloud to drive CDS. Thus, representing clinical knowledge and CDS interventions in standardized formats, which is widely acceptable and understood by everyone. The early innovative NLP research of clinical narrative was followed by a period of stable research conducted at the major clinical centers and a shift of mainstream interest to biomedical NLP.

In this report I will discuss both the Social and Medical Models, define their pros and cons and give a short reflection on my own opinion of the two models in everyday use today. Both the medical and the social models of disability describe how they see disability and how they feel disabilities and those suffering should be treated. Both models have very different views on the causes of, how disabilities should be taken care of and by whom and both have their strengths and weaknesses when it comes to caring for those with disabilities. Medical Model

Retributive approach This approach might be the oldest theory;

Giving care to a patient is not a straightforward process because a patient is made up of advanced systems. Symptoms and the severity of a disease process are dependent on a particular patient, and it may not always be uniform from patient to patient. Because of this, nurses must be able to use their knowledge appropriately to help a patient. Nurses use techniques, such as Evidence Based Practice, in order to integrate new and advanced knowledge into their patient care (Canada, 2016). By exercising evidence based practice, nurses effectively seek knowledge, take experience from past situations, and apply this intelligence to best give patient care (Canada, 2016).