A Research On Computerized Physician Order Entry

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 identified barriers are financial cost, physician and organizational resistance due to low computer literacy skills and disturbance of workflow caused by CPOE systems. The resistance can be overcomed by strategies such as strong leadership, providing trainings, addressing workflow concerns and advocating related policy changes. (Poon, Blumenthal, & Honour et al. 2004). Currently, Canada Health Infoway ( 2016) has promoted CPOE implementation among health care organizations across Canada. For example, North York General Hospital in Toronto has partnered with Canada Health Infoway to develop CPOE systems and share the order sets freely ( Zeidenberg, 2013). With public awareness of the CPOE gradually increasing, now most physicians recognize the positive impact of using CPOE system to improve patient safety , and they are willing to accept the application (Jung, Hoerbst, & Massari, et al. 2013).

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,

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

This communication is to inform our fellow team member and most especially the physician groups about the intention of the organization to implement the Computerized Physician Order Entry (CPOE) system. The CPOE application will enable our physician provider to enter order directly into the computer system, the CPOE system will replace the old method of order entry that include, written, verbal order/telephone order, and fax. The CPOE system will enable physician to enter specifications about order such as, laboratory, medication, radiology and special procedure orders. Additionally, CPOE offers some the features of the Clinical Decision Support (CDS) at the point of order entry by recommendation dosage calculations, interactions with other medications, and warning of allergic reaction notifications with alternate medication

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.

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

These tools augment the features of the EHR. They are tools that assist providers in making pertinent decisions regarding patient care. CDS provides a workflow that uses special criteria to guide healthcare providers to make sure that the appropriate treatment or procedures are done at the appropriate time. It also provides red flags to alert clinician of potential medication interactions, abnormal labs and when services are due. CDS provides many benefits that can reduced errors, improved efficiency, reduce cost and improved patient and provider satisfaction for better health

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).

Alert fatigue and using a clinical decision support system (CDS) in an electronic health record is a growing concern in health care. Although alerts and warnings in an EHR are well intended, the volume of alerts EHR end-users receive is surprising. The Agency for Healthcare Research and Quality (AHRQ) estimates that in some EHR end-users have the potential to receive over 100 CDS alerts per day (Agency for Healthcare Research and Quality [AHRQ], 2015, p. 1). This cause’s alert fatigue when the end-users become desentized to the alerts and even the most important alerts become meaningless.

Gawande’s (2015) article “Overkill,” suggests that physicians overprescribe drugs and tests which are ultimately unnecessary for patients. To eradicate such behavior, I would implement an electronic health record (EHR) with the following functions: Computerized provider order entry (CPOE) with a clinical decision support system (CDSS) to assist physicians/clinicians (stakeholders) in their medical practice or at hospitals. These functions will help to alleviate redundant tests and make suggestions about treatment. According to HealthIT.gov (2014), CDSS caters chiefly to drugs, laboratory testing, radiology procedures, and helpful clinical literature (HealthIT.gov, 2014).

To a great extent, non-institutionalized and free ways to deal with making and displaying clinical information and CDSS intercessions extremely constrain joining, reusability, and interoperability in clinical data frameworks [17]. There is no an express focal vision for a suite of CDSS-related principles that will prompt the boundless and powerful utilization of CDSS intercessions. The accessible CDSS gauges (for illustration, Arden Syntax) are neither generally sent, nor address appropriate usage challenges [18] [19]. Consequently, CDSS designer is the exceptionally dependable partner in deciding achievement or disappointment of CDSS.

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 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.