Information Systems With Clinical Decision Support

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

Contribute in a practice to recognize how tools can be modified for ideal decision support within their clinical setting.

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

TVGs support system when it comes to their supportive policies and guidelines they have a MSD book with all the residents care plans, if they have fall risks, if they are a one or two assist (that’s when one CNA or two are needed), whether they like showers or a bath. CNAs have a book where they record the input and output of the residents that is in each group that has to be recorded each night before your shift is over. They is a separate book that’s located on each floor with all the policies and procedures in it. There is now a system out that the nursing home I was employed at doesn’t have and need. Its called the Clinical decision support system (CDSS). The CDSS comes with an alert for weaken state, development in condition, constipation,

This project illustrates a RAD approach for designing a patient decision support research platforms (web-based). This web-based research platform is designed with three components: an introduction of shared decision making, a patient decision aid (web-based), and items for decision process data collection. A feedback on paper drafts and online prototypes is also provided by this research platform (web-based). Consider a shared decision making (SDM) process that allows the health care providers and patients to make decisions collectively on the basis of an evidence-based scientific knowledge and the patient’s preferences. Consequently, this process provides both the provider’s practiced knowledge, and the patient’s right to be informed of all

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

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

Clinical Decision support system (CDS) is one of the approach for evidence-based information to clinician at the point of care. The CDS brings about a provision for clinical knowledge clubbed with patient specific information. This enhances patient care. In most of the cases, the rules that are used for CDSS include “If conditions then criticism”. The other includes Bayesian reasoning, infobuttons etc.

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.

The major components of Clinical Decision-Support System (CDSS) was generated to manage daily work flow in a more effective manner in regards to clinicians cognitive thing. This would also help aid in “clinical data banks and algorithms, analytic or pathophysiologic models, clinical decision theoretical models, statistical pat-terns recognition methods, symbolic reasoning, and clinical expert knowledge bases....” (Tan, 1998 pp.220) The goal of CDSS was to improve patient care and assist in the patients’ quality of life with the help of the Clinical Reminder System (CRS).

Clinical decision support (CDS) systems are an important tool physicians have at their disposal for the improvement of patient health care, and safety. However, current CDS being used have often been designed to be over-inclusive in the alerts they generate, with present generation systems including alert parameters for thousands of drug interaction types for example [3]. These vendor CDS products include such information as drug-drug and drug-disease interactions, minimum and maximum dosing suggestions, drug-allergy cross-sensitivity groupings, and groupings of medications by therapeutic class [2]. The products are so inclusive in fact, that physician alert fatigue can undermine the utility of the entire system. As a recent review of empirical studies on computerized physician order entry (CPOE) combined with CDS concluded that physicians override these automated alerts a significant amount of time. According to one study, these physicians were overriding these alerts in as many as 19 out 20 instances [3].

The Era has begun where a tremendous amount of data and silos of information are being generated. The websites, blogs, the electronic health record are all jam-packed with information. Posts from Facebook, tweets from twitters, interactive websites are a rich source of information. If one can imagine, information has as much as widespread as the universe. However, what happens to the heap of information generated? Do we use the information to convert into knowledge and apply it to our daily life? Are they helping physicians, patients and other clinical staff in their decision making? The integration of all available information has resulted in Clinical Decision Support System (CDSS). This system is invented to help the physicians and other clinical staff in decision making process. But the question again is – are they comfortable using CDSS. What if the users could write decision rule which would be their own personal experience. If they could write their own rule will it increase their acceptability? The article answers the questions raised and provides a brief description of a CDSS developed by the Regenstrief Institute, which is contributing to an altogether different face of CDSS. This, if successfully launched can result in better acceptability among users, which can solve other user related or initiated difficulties.

The development and implementation of decision support systems within the clinical field represent a myriad of methodologies. While most institutions have adopted the IT centric or traditional approaches of DSS development and implementation, experts have recommended a user centric approach as an alternative method. If the user centric model is initiated within the industry, it makes it possible for the management to justify decisions through value analysis (Burstein & Holsapple, 2008). The development and implementation of DSS within the clinical setting demands a set of continuous and expensive endeavors. Project managers must initiate coordinated technical, human, and clinical efforts in engineering the required expertise for a prolonged period.

Computers are considered to be one of the greatest discoveries of the 20th Century.  As time goes on, computers have become more and more important in our lives. We use computers at school, at home, and at work and most of us can’t imagine life without them. One of the many uses of computers is used in communicating within the country or even around the world where there is Internet access.