The Development and Implementation of Decision Support Systems Within the Clinical Field

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

Encourage the use of computer-generated or electronic medication administration records. Plan for the implementation of computerized prescriber order entry systems. Consider the use of machine-readable code (i.e., bar coding) in the medication administration process. Use computerized drug profiling in the pharmacy. Be a demanding customer of pharmacy system software; encourage vendors to incorporate and assist in implementing an adequate standardized set of checks into computerized hospital pharmacy systems (e.g., screening for duplicate drug therapies, patient allergies, potential drug interactions, drug/lab interactions, dose ranges, etc.)”. (Association,

This integrative review sought to identify and understand the impact of information technology in on medication errors. The review of 14 papers shows that the implementation of medication management systems, which include CPOE, BCMA and automated dispensing machines has successfully reduced medication errors and adverse medication events significantly, particularly the two most susceptible stages of prescription and administration of drugs (Armada et al., 2014).

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,

Medication errors are not only caused by human errors, technology defects contributes to this growing epidemic. Computerized prescribed order entry, bar-coding systems, electronic medication administration and automated dispensing cabinets all contributes to medication errors. However the use of these technologies have included benchmarking to help healthcare facilities test and evaluate new systems for use on the units (Admi, et al., 2013).

A significant, impactful trend on healthcare organizations (HCOs) is the implementation of technology-based information systems (IS). The systems consist of hardware and software used in gathering and processing data that supports the provision of patient care. There are administrative systems, which have been in place for decades and their usefulness are highly recognized. They track services rendered, billing processes used for third party payers and patients, as well as payroll for employees. Administrative systems are essential for the financial component of a business. More recently, the importance of clinical information systems has moved into the spotlight. They are intended to

The scenario selected for this evaluation project focuses on the electronic health record. The scenario involves patient documentation, clinical decision support, and performing nursing notes. The project involves evaluation and implementation of EHR. The electronic health record and clinical decision support are not only relevant to my current organization but also are particular interest of mine. The electronic health record has helped to reduce the amount of paper which was a nightmare to maintain with the number of new patients being admitted daily. The electronic health record has also reduced the amount of missed documentation and errors. Any clinician can testify to the wasted time and poor communication among providers that sometimes results because antiquated paper records still predominate in our offices and on the hospital wards (Shortliffe, E. H., Tang, P. C., & Deimer, D. E., 1991). The clinical decision support system has been a great assistance to clinicians. Nurses, health visitors and midwives, as the largest group of healthcare professionals, record and generate most of the information used to maintain and improve patient care (Levy, S., & Heyes, B., 2012). Clinical support systems (CDSS) integrate information (ideally from high-quality research studies) with the

Health care information systems cover a wide range of issues dealing with the supervision and use of biomedical information. Health information systems are central support tools in the administration of health care services. An acceptable health information system is important not only for evaluating the health needs of populations but also for preparation and for application of health interventions. It is equally imperative in the assessment of programs. The goal of information systems is to create an appropriate working environment. This is done by providing initial and going training, allocating resources, and by managing unintended consequences (Wager, Lee & Glaser, 2009).

Medication errors are a very common problem in the healthcare world. They can be very minor errors or they can kill a patient. There have been many new systems put in place to prevent and reduce medication errors but they continue to happen. Several different factors have been looked at to prevent medication errors including computer systems, hours worked, patient to nurse ratio, and years of experience.

a) Clinical decision support administers up-to-date data at the point of care, to enable information decisions about a patient’s care. Clinical decision support tools and systems enable clinical teams by being in charge of other duties and work. The purpose of CDS to administer up-to-date information to clinicians and patients. It reduces expenses, promote performance and decrease patient disturbance. It can efficiently promote patient outcomes and advance to better healthcare. Prevention of omissions and unfavorable results. It makes clinicians have attentive desirable matching tests a patient may be about to acquire.

In 1999 the Institute of Medicine (IOM) released a report that shook the world. “To Err is human” warned and informed the healthcare industry that a need for change is necessary. The lack of consistency in the delivery of the quality of care that is provided to the US population. In response, Clinical decision support systems (CDSS) have become a resolution for such an issue. The objective of this paper is to highlight the benefits of implementing a CDSS as well as the challenges faced today when implementing such a system. Furthermore, study will be conducted to explore what can be done to further research and recommendations will be given as to how CDSS implementation can improve health outcomes. Clinicians, staff as well as patients are

This case study is looking at the experiences with the adoption of an enterprisewide DSS system with the Holy Cross Health System (HCHS). This overview of this case study will cover the how the HCHS will be able to stay ahead of the market change, how training will be able to aid in the adoption of the system, the personnel that is involved in the implementation of a new system, the return of investment for the DSS, and how the DSS will aid in the integration of the enterprise systems.

The second study focused on a patient care unit, which include 2 medical-surgical units, 2 telemetry units, 2 rehabilitation units, and a medical-surgical intensive care unit, and Oncology unit (Seibert et al., 2014). This is a pre and posttest non-equivalent comparison group study that focused on the medication administration accuracy error rates at a community based hospital. The units were observed and recorded at one month, six months, and 12 months after the electronic barcode medication administration system as implemented. According to Seibert et al., 2014), medication catastrophes attribute to errors in medication administration ranges from 2.4% to 1.1%, and can elevate to 34-49%. Although direct observation is a “standard” tool used in identifying medication errors, other modality such as computerized monitoring, chart reviews is also utilized (Seibert et al., 2014).

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