Knowledge In The Clinical Application Environment

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.

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.

Implementation of Healthcare Information Technology potentially reduces cost yet, remains a continuous challenge. The adoption of improved healthcare infrastructure is compelling and significant barriers remain such as technical issues, cost, concerns about privacy and confidentiality, system interoperability and lack of well trained staff to lead the process (Palvia, Love, Nemati, & Jacks, 2012).

Interoperability is often a word frequently used as a goal to strive for when improving healthcare in the United States. Encouraging the utilization of health information exchange has been cited as a potential way to improve efficiency, increase safety, and enhance quality of care. There are numerous examples of how linking information between multiple data sources leads to a non-trivial task. When two operations are collecting the same data, but are recording information in different formats, it can be nearly impossible to bridge the information between those systems. Standards are important because they can facilitate mutual understanding during in regards to communication and health measures in the context of population health.

Health care companies are increasingly relying on networked information systems to share patient data and records. Therefore, choosing the correct internet access technology is key to any company who wants to be competitive in this environment. Fortunately for NHS, there are several internet access options available for this project; these include DSL, cable, T1, cellular, and satellite

There is a critical need for healthcare professionals to understand the economic ramifications of medical decisions, and further, develop clinical and cost effective strategies for optimal care. The Health Economics curriculum at the University of York has been designed to sequentially build a comprehensive framework of knowledge for healthcare professionals. With the support of a Fulbright, this program of study will enable me to evaluate the health systems in the US, UK and Australia with the goal of implementing cost efficient protocols for the management of head injury in children.

Information technology helps the organizations achieve many targets. The following is a needs assessment conducted in the Valley Hospital Medical Center, to determine the technology needs. This hospital does not lack an advanced technology, still, it has room for further improvement. For instance, they use the latest version of a computer program for the patient documentation. They make sure that the program gets updated as needed. There are no issues for any employee or department of this institution on accessing or documenting using this program.

More than ever before, the health care work environment requires comfortable services and high technology information system. The health care manager should aware of and understand the impact of health information technology to ensure that workers are productive, sensitive data is protected, and patients remains safe. To manage effectively and efficiently, the health care manager must have the competencies and skills to evaluate the experience and adoption of new technologies to health care workers in the organization.

Clinical decision support (CSS) systems are clinical resource tools embedded in EMR (electronic medical record) applications that provide actionable intelligence specific to an individual patient thus enhance clinical decision making. These tools provide tailored feedback, which directs clinical decisions and interventions in the clinical workflow. According to The Stage 2 Meaningful Use Final Rule, the fundamental components and characteristics of a successful decision support system should allow clinicians to reduce errors and adverse events, improve efficiency, enhance outcomes, and ultimately lower costs. Furthermore, the federal government has defined the Five Rights of CDS as follows: the right information, to the right people, through

I agree with you that the rush to meet compliance created haphazard and fragmented clinical decision support (CDS) tools throughout the health care industry. I also agree that workflows in health care can be complex; so what is the solution for usable and effective CDS tools? First and foremost an organization needs to have a clear picture of what the need is that will be supported by the implementation of CDS tools. Not all tools are relevant to all areas of health care.

In health care, patients’ lives are in the hands of the health care practitioners, health care organizations, insurance companies, and to some degree, even health care technology. The growth and future implications of evidence-based medicine (EBM) through improvement of technology in health care are important today, because health care practitioners and organizations want to ultimately decrease cost, improve quality of care, and increase access to health care (Glandon, Smaltz, & Slovensky, 2014, p. 28). One way to achieve these goals is through the implementation and improvement of EBM and interoperability which will enhance the efficiency of work production resulting in these positive outcomes. According to Glandon, Smaltz, and Slovensky (2014), EBM is an “information management and learning strategy that seeks to integrate clinical expertise with the best evidence available to make effective clinical decisions that will ultimately improve patient care,” (p. 6). “Interoperability is the ability of different information and communications technology systems and software applications to communicate, to exchange data accurately, effectively, and consistently, and to use information that has been exchanged,” (Iroju, Soriyan, Gambo, & Olaleke, 2013, para. 1). Without interoperability and EBM, fundamental data and information such as patient records cannot be easily shared across and within enterprises having a direct impact on the quality of care. It

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.

every-where, in every second. Now a day’s information technology became an important tool in the medical place, such as, hospital, clinic, medical lab, etc. The reason that I choose this article because it shows how information system explore the implementation of care from hospital providers to patients and community providers by involving in coordination and continuity of post- hospitals care transitions. These shows the high-risk interorganizational collaborations in the hospitals. The purpose of this paper to demonstrate health information technology (HIT) transfer the interorganizational knowledge in the information systems literature during care transition is absent. This helps to understand the collaborations of high risk. The reason to publish the article is to transfer multilateral knowledge transfers, accommodation of fluctuating absorptive capacity, interorganizational knowledge transfer, and reconciliation of knowledge and goal conflicts by using IS design, health

Knowledge can refer to a theoretical or practical understanding of a subject. It can be tacit (as with practical skill or expertise) or explicit (as with the theoretical understanding of a subject); it can be more or less formal or systematic. Botha et al (2008) pointed out that tacit and explicit knowledge should be seen as a spectrum rather than as definitive points. Therefore, in practice, all knowledge is a mixture of tacit and explicit elements rather than being one or the other. The most important distinction within KM is between explicit and tacit knowledge. The overload of data is making knowledge management increasingly more important as it facilitates decision-making capabilities; builds learning organizations by making learning routine, and stimulates cultural change and innovation.