Clinical Decision Support System ( Cdss ) Essay

Standing (2011), defines clinical decision-making as a complex process that involves observation, gathering information, critical thinking, evaluating evidence, applying necessary knowledge, reflection and problem-solving skills. Every day nurses make important clinical decisions and these decisions have important implications for patient outcomes and deserve serious consideration. Therefore, it is important for nurses to have a better insight of the decision-making process, be able to deliver holistic care and meet essential and complex physical and mental health needs of the patient.

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

Clinical Information Systems (CIS) is a type of electronic computer system database that has the capability of storing clinical information for healthcare delivery (Biohealthmatics.com, 2016). CIS has been implemented in many clinical settings to help guide clinicians with decision making abilities to provide appropriate treatments based on the patient’s history of illness, age, and other information of care provided by the facility that has been entered in the electronic health record (EHR) (Biohealthmatics.com, 2016). In regards to the case study, CIS automatically prompted an MRI of the brain alert as an appropriate intervention based on Mrs. John’s history of present illness, diagnosis, age, and the assessment competed by the nurse entered into the (EHR).

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.

Health care providers as well as nurses must keep track of all pertinent patient information and failure to do so leads to detrimental effect on the patient's life. CIS clinical information systems are "large, computerized database management systems that support several types of activities that include physician order entry, result retrieval, documentation and decision support". CIS is intended to replace medical records department of a hospital or any other medical institution. Physicians and clinicians can safely and quickly access information, order medication and treatments and implement appropriate care. CIS will hopefully improve productivity, increase quality care and reduce costs across the organization.

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,

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

Real time data entry, real time data driven medical decisions, provides real time transport of medical records, increased productivity as there is shift from paper-based medical record and the real time approach. It helps in efficient patient care management. The EHR embedded with clinical decision support system also helps in improving health care services delivery. The rules and decision algorithms helps in healthcare decision making. CPOE allow providers to enter order and both CPOE and CDS help in reducing medical errors. One of the studies have showed that the serious medication errors can be reduced by as much as 55% when a CPOE system is used alone, and by 83% when coupled with a CDS system that creates alerts based on what the physician orders [3].

Clinical support systems can also allow for patient-specific alerts, situation-specific alerts, and assist physicians with order sets to facilitate decision making which enhance the effectiveness and quality of care. 2. The critical difference between a clinical decision support system and a personal health record is that the two differ greatly in the degree to which they interpret data and recommend patient-specific action (Cimino & Shortliffe, 2014, p.190). A clinical decision support system are clinical systems that allow clinicians to consult expert knowledge for the diagnosis and treatment planning of the patient.

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.

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

Health Informatics created two main categories such as clinical and administrative information systems to meet the needs of one or more department within the health care organization. For the clinical information system, it is set to meet the needs in improving patient care. Therefore, the clinical information system (CIS) categories provide nurses information systems (NIS) that support the way nurses documents the care that given to the patients. However, to improve the delivery of nursing care, the healthcare organization must adopt a computer system that can successfully incorporate tools that will benefit nursing. There is two vendors’ software that implies these characteristics for the

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.

1. Create a strategy to leverage the knowledge base of the practice against the value of knowledge within the developing ACOs.

The greatest levels of credibility in the context of computerized management systems revolve around saving lives of patients and speeding up their recovery process. Studies of the effectiveness of computerized management systems illustrate that small increases in accuracy and stability of data on patient