Clinical Decision Support Problem Statement

Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. If used properly, CDSS have the potential to change the way medicine has been taught and

Clinical Decision Support can be defined as “providing clinicians, patients or individuals with knowledge and person-specific or population information, intelligently filtered or presented at appropriate times, to foster better health processes, better individual patient care, and better population health” (Wright, 2008). Like many different aspects of healthcare, clinical decision support has evolved with the creation of new technology. This evolution of clinical decision support in itself has and will continue to impact each aspect of Triple Aim.

According to the Institute of Medicine (IOM) report To ERR Is Human, as many as ninety-eight thousand people die in hospitals in the United States every year due to preventable health care errors (Nelson, Staggers, 2014). Even though some years have passed by since the report was issued, little had changed. Furthermore, McGlynn et al. demonstrated that, on average, patients in the United States receive only fifty-four percent of the recommended processes of medical care (Nelson, Staggers, 2014). However, when the first studies were performed demonstrating the difference with of clinical decision

During the course of my two-year program in the Healthcare Informatics, we have touch on many aspect of the field to get us ready for the work field. We had taken courses from: computer application, data communication, information system analysis to creating organizational values. All of these courses were great, but the one that comes to mind that will be best integrated with my thesis project is decision support system. My key focus for this thesis project is, interoperability equal continuity through standards. As a result, the course decision support system will be a perfect complement.

Clinical decision support is a system designed with capabilities to enhance physician and other health care provider in the clinical decision task. It enable the physician to have more knowledge of the patient that they are provided with care, more advance knowledge of the type of illness that the patient is going through so that appropriate clinical decision would be included in the patient treatment plan (PTP) ("What is Clinical Decision Support (CDS)? | Policy Researchers & Implementers | HealthIT.gov," 2013)

Clinical Decision Support System (CDSS) has potential chances to enhance general security, quality what's more, cost-adequacy of human services. The CDSS has existed for over four decades, yet its selection rate by therapeutic groups is not empowering even in the nations that have been a pioneer in creating them. At numerous locales, it was hazardous, slowed down in the arranging stages or never at any point endeavored. To date, CDSS is considered as an incompletely effective framework. A few current difficulties have not been enough tended to amid the improvement of CDSS. According to most recent research, the arrangements of difficulties are: enhance the human-PC interface,

Clinical decision support (CSS) systems are clinical resource tools embedded in EMR (electronic medical record) applications that provide actionable intelligence specific to an individual patient thus enhance clinical decision making. These tools provide tailored feedback, which directs clinical decisions and interventions in the clinical workflow. According to The Stage 2 Meaningful Use Final Rule, the fundamental components and characteristics of a successful decision support system should allow clinicians to reduce errors and adverse events, improve efficiency, enhance outcomes, and ultimately lower costs. Furthermore, the federal government has defined the Five Rights of CDS as follows: the right information, to the right people, through

The value of Clinical Decision Support Systems is having additional avenues monitoring patient’s data input. The Clinical Decision Support Systems are offering notifications of patient’s record data to specified department or medical personal.

Identify key features related to their use of the CDSS in terms of: the type of CDSS they use (knowledge based, or analytics, or a combination of both), its usability (ease of use), utility (perceived usefulness), how they incorporate it into their own workflow, what are some of its features, its overall impact on any patient outcomes and any challenges they have experienced while using the CDSS.

I believe that the clinical decision making process associated with the actions to be taken in Jack and Jacqueline’s care were quite similar between the Canadian and the Rwandan perspectives. This is because both perspectives took on a holistic view of Jack and Jacqueline’s situation and thereby worked to develop goals that would not only address Jack’s physical health, but also the emotional and mental health of Jack, Jacqueline, and even Charles. These holistic based goals included, but were not limited to the utilization of various community supports to foster Jack’s cognitive development as well as the formation and implementation of diverse coping strategies for Jacqueline and Charles to use during times of stress.

Analyze the requirements of the system and how this DSS is reducing medical errors and improving clinical practice.

Clinical decision-making (CDM) identify by the method including skills such as critical judgment and problem solving which is also keystones of the effective care of patient (Wainwright, Shepard, Harman and Stephens, 2011). As Physical therapists (PTs) we make decision every day. This decision is accepted throughout the client interview and verified during physical examination (Goodman and Snyder, 2007). The decision making style may differ based on level of experience, knowledge, judgmental power and condition like limited time frame.

There are common themes in missed nursing care which are explained in CS2 that include basic every day nursing care that should be delivered by a nurse. These areas fall under such as activities of daily living, ambulation, turning a patient, assisting with feeding and bathing of a patient. In CS2 there is a technology based program that has been implemented as a tool to help reduce and prevent healthcare errors. Clinical decision support systems (CDSS) is the technology of interest in CS2. CDSS has had a long history of use with doctors and is now implemented in the nurses in their patient care so that it can improve clinical practice and patient

For policymaking, regulations and strategies, clinical decision support (CDS) provides clinicians, staff, patients or other individuals with knowledge and person-specific information, intelligently filtered or presented at appropriate times, to enhance health and health care. CDS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients; clinical guidelines; condition-specific order sets; focused patient data reports and summaries; documentation templates; diagnostic support, and contextually relevant reference information, among other tools.

Clinical reasoning can be best described by the process of collecting indications, processing, understand the problem or situation, plan and implement interventions, asses outcomes and learn reflect on the whole process (del Bueno, 2005). Positive outcomes of this process can be determined by an individual’s preconceptions, attitude, perspective and willingness (mentally and physically) (McCarthy, 2003). In a report by the clinical excellence commission of NSW Health they conclude that there are three explanations for negative patient outcomes in which are failure to correctly diagnose, failure to adequately implement appropriate treatment and inability to manage complications. In this essay the author will outline a situation in which they were involved in explaining the background of the situation, factors which influenced a clinical decision to be made whilst describing the clinical decision making process.