The Major Component Of Clinical Decision-Support System

There has been major controversy in defining the term evidence informed practice. The best definition which is globally accepted is the one invented by Sackett et al. (1996) He defined evidence informed practice as “the conscientious, explicit and judicious use of current best evidence in making decisions about care of the individual patient. It means integrating individual clinical expertise with the best available external clinical evidence from systematic research”. (Ellis 2003) To simplify, it means utilizing the best possible information which is proven to be useful in aiding the best possible care to patients.

UHN in Toronto is a major community care network that reaches out to and provides care to the masses. However in order to provide this kind of care they must have a very powerful decision support system. UHN utilizes an advanced CPR to support computerized physician order entry (CPOE). (Wu, Perters, & Morgan, 2002) A CPR system is a computer-based patient record system. A CPR system must provide a comprehensive clinical decision support it must include both a patient focus and a population focus. The physical computer system that is installed on the computers at UHN is called Patient 1® which is a clinical information system developed by Atlanta Based Per-Se

An interview with an Assistant Professor at Duke University Health System in the Department of Medicine, Maestro Care Provider Champion and Clinical Content Architect. This physician works to incorporate clinical decision support tools into the electronic health record at Duke Health System. He manages the best practice advisory committee that may provide a way to deploy alerts to clinicians at the point of care. Alerts with order sets and recommended actions are created and updated to notify providers of current patient care guidelines or patient safety concerns.

The purpose of this essay will be to discuss evidence based practise and its use in nursing, I will be discussing, the types of research and various forms of data, including the principles of evidence based practise and research. Evidence Based practice is finding the most effective, research proven, evidence to make decisions regarding the service users individual needs and the best decisions for them. As David Sackett quotes, "evidence based practise is the integration of best research evidence with clinical expertise and patient values." (Sackett D, et al 1996, p.71) Evidence based practice is good practice, assist practitioners, avoiding information overload and applying the most useful information.

Evidence Based practice was established to enhance the quality of patient care. An EBP has been considered as a series of mechanisms to improve the patient care as well as preventing the medical errors by clinicians. In order to optimize the patient wellbeing, today clinicians are expected to use their clinical knowledge along with use of research evidence in to the practice. Practicing EBP can enhance the clinician’s excellence in the practice (Manske & Lehecka, 2012). A quality care which is based on evidence

Evidence based medicine is a type of medical practice which involves decision making based on the evidence from the research, patient values, clinical experience to provide better quality healthcare services without any errors.

For the electronic health record to be considered as a true clinical decision support system, it must be possible to access and integrate patients’ clinical information that is collected throughout their lives, guaranteeing up-to-date, safe and congruent information, immediately accessible at the place of care. Moreover, because of the considerable increase in the capacity to develop and manufacture systems that employ smart components highly integrated and miniaturized, wearable devices facilitate the home monitoring of patients with chronic diseases and their information should be integrated in existing electronic health records. Therefore, the interoperability is an essential requirement of eHealth to allow the integration of care into a

“Evidence-based practice (EBP) is an approach to health care wherein health professionals use the best evidence possible, i.e., the most appropriate information available, to make clinical decisions for individual patients” (McKibbon, 1998). It is patient/family centered and involves complex and contentious decision making that is based on evidence available as well as the patient situations, characteristics and preferences. The evidence found does not make the decision, but helps support the patient care process. Health care is ever changing and involves multiple different aspects that evidence based practice gives the health care providers the formalization of the care process. There are

Evidence-based care is providing clinically competent care that is based on the latest scientific evidence in the ever growing field of medicine. Such evidence are from outcome research that acre used and analyzed for the improvement of client care. The continual process is the practice of quality improvement that work hand in hand with quality assurance – the maintenance.

The Clinical Decision Support Systems have challenges to overcome such as information technology must be design a effective system which notify certain outlier medical information data input. This requires a very through collaboration between the Information Technology Department and the medical facility. Once the specified notifications are designed the medical facility will perform a test run to confirm accuracies and promptness of the required notifications. The next challenge with Clinical Decision

This literature is used to provide high quality care through the implementation of evidence based care. Moreover, gaps in past research on health care have been identified by practitioners through electronic based research which is used to implicate on future research on improving quality of health care. Through such research, the current and future health care services are likely to demonstrate an increase in the safety, accuracy and efficiency of health care as measures of quality (Goyen & Debatin, 2009).

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

use of optimal available evidence in the process of clinical decision making for patient care. EBM is very important for an optimal diagnosis and treatment of patients.

Evidence based practices are important to explore for various diseases so that their efficacy level can be determined and medical staff can be trained accordingly. Particularly speaking in the context of chronic diseases, evidence based practices are to be evaluated with the joint efforts of multiple healthcare institutions so that it can bring benefits to the overall healthcare industry.

There are a lot of problems and challenges involved in implementing a clinical decision support system. It is important for medical staff (doctors, administrators etc.) to be an integral part in the implementation and development of CDSS. Our limited research concluded that acceptance of such technology is not easy amongst physicians. One of the main reasons for non acceptance is that the physicians want to be a standalone entity. We plan to investigate many challenges such as lack of technical expertise, cost, integration, misdiagnosis, speed etc involved in implementation of different types of CDSS in the health care industry today. Our research paper will focus on the different decision problems involved in these challenges.