Clinical Decision Support : Effectiveness Of Clinical Decision Support Systems

Equally impressive is the implementation of Computerized Physician/provider Order Entry or CPOE. CPOE is known as one of three key patient safety initiatives by Leapfrog Group, a conglomeration of non-health care Fortune 500 company leaders committed to modernizing the current healthcare system (Huston, 2014; The Leapfrog Group, 2013). CPOE is a type of software designed to reduce errors in transcription due to illegible physician handwritings or wrongly placed decimals in dosage and strengths of medications. CPOE also gives the clinician access to Clinical Decision Support, or CDS, which is a database to assist clinicians and providers to health related information for certain patient diagnosis with care planning assistance and direction. (Huston, 2014; The Leapfrog Group, 2013). CPOE and CDS will likely be streamlined and commonly used in healthcare in the next decade which appears will likely improve patient safety as well as vastly reduce medication and

The purpose of this paper is to introduce Computerized Provider Order Entry (CPOE) systems in health care practice, and its impact on patient safety through a comprehensive literature review. The background and current implementation of CPOE were reviewed. The benefits and potential disadvantages of CPOE systems related to patient safety were identified, and the strength and gaps in the literature were discussed to suggest further research and guide evidence based health practice.

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

Steele, A. M., & DeBrow, M. (2008). Efficiency gains with computerized provider order entry. In: Henriksen K, Battles JB, Keyes MA, Grady ML (eds) Advances in patient safety: new directions and alternative approaches AHRQ publication no 08–0034-4, vol 4. Technology and Medication Safety Agency for Healthcare Research and Quality, Rockville, MD. Retrieved from http://www.ahrq.gov/qual/advances2/

http://mdm.sagepub.com/ Do Patient Decision Aids Meet Effectiveness Criteria of the International Patient Decision Aid Standards Collaboration? A Systematic Review and Meta-analysis

The stage 1 of the meaningful use includes thirteen core criteria and ten menu set objectives. The first core criteria is the computerized provider order entry (CPOE). CPOE entails the provider’s use of computer assistance to directly enter medication orders from a computer or mobile device. The use of CPOE and the electronic prescription process is a technology that has been found to be helpful in preventing medication prescribing errors in several ways (Mominah & Househ, 2013). Having an accurate electronic patient medication profile will help prescribers and pharmacists review the medication history easily and consequently alert the pharmacist to communicate with the prescriber in case any unexplained change in the prescribed medication to the patient and then conforming the change with the prescriber. Applying CPOE technology reduces medication errors.

Computerized Physician Order Entry (CPOE) is a complex technology mandated by Centers for Medicare Services (CMS) in Meaningful Use criteria for adoption by healthcare providers (Self & Coffin, 2016). CPOE is technology for reduction in medication errors through implementation of standardization of processes to support legibility and reduction in the number of people required to participate in the order workflow, thus decreased delays and errors result due to miscommunication (Hoonakker et al., 2013). Although CPOE highlights improvement in quality and safety, healthcare organizations have expressed difficulty in the implementation due to physician resistance (Hoonakker et al, 2013). This resistance not only contributes to patient safety

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.

Charles, K., Cannon, M., Hall, R., & Coustasse, A. (2014, October 1). Can utilizing a computerized provider order entry (CPOE) system prevent hospital medical errors and adverse drug events? Perspectives in Health Information Management, 11(Fall): 1b Retrieved from http://perspectives.ahima.org/can-utilizing-a-computerized-provider-order-entry-cpoe-system-prevent-hospital-medical-errors-and-adverse-drug-events/#.Vpg-Q_krLIU

As the technology is being implemented in health care system, computerized provider order entry (CPOE) has become the standard of care in most hospitals. According to Cherry and Jacob (2014), “CPOE contributes to safety and quality by eliminating lost orders automatically, monitoring for duplicate or contradictory orders, and reducing time to fill orders” (p 256). However, there are some barriers using the system which leads to medical errors including alarm However; some barriers are using the system which leads to medical errors including alarm fatigue, lack of communication, and clinicians’ hesitance to adapt to new system. CPOE alert physicians on a constant basis about “various drug-drug, drug-patient, and guideline-based recommendations during the ordering process” causing alert fatigue in clinicians (Payne & Weir, 2015, p 6).

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.

Not only does the electronic method of prescribing save time, it has also cut down on the number of accidents caused by the misinterpretation of handwriting. Although now almost obsolete, hand-written prescriptions have been the cause of many medical errors because certain sound-alike or look-alike drugs have, in the past, been incorrectly substituted for one another. A report given by the insurance company, Excellus BlueCross BlueShield disclosed that if all physicians were to begin using electronic-prescription systems, “more than two million adverse reactions or events – ranging from inconsequential to severe – could be avoided each year” (wgrz.com). According to pharmacist and associate director for the Food and Drug Administration’s Office of Drug Safety, Jerry Phillips, “Six-hundred sound-alike or look-alike drug pairs have been identified as possible sources of error since 1992” (nytimes.com). For example, Lamictal, a mood-stabilizing anticonvulsant, is quite similar in spelling to Lamisil, an antifungal drug. Because of these strong similarities, it is not difficult to understand how easy it could be for medical personnel to mistake certain medications. But with e-prescribing, because the prescription is sent directly from the prescriber to the pharmacy, the number of accidents caused by misinterpretation of handwriting has already been

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

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.

Abstract: In this paper, a new Clinical Decision Support System (CDSS) Framework was proposed which satisfies the compatibility, interoperability, and scalability objectives of EHR. The system will also have a set of Distributed Electronic Health Records and centralized Knowledge Engines. These Electronic Health Records are minimized and distributed In some parts of the country Knowledge Engines are centralized and work together. Each centralized Knowledge Engine is specialized in a specific domain.