Global Clinical Decision Support Systems (CDSS) Market, Analysis and Forecast, (2017-2025) (Focus on Product (Integrated and Standalone), Component Type, Mode of Delivery, User Interactivity, Competitive Landscape and Country Analysis)
The global clinical decision support systems (CDSS) market comprises of software and services which help healthcare providers reduce the rate of medical errors during the healthcare delivery process. This, hence, significantly aid in improving clinical outcomes and facilitate reduction in healthcare costs. The market has evolved dramatically as a result of rising number of deaths due to medical errors, changing reimbursement models and healthcare delivery framework. These changes have fuelled the level of investments in the clinical decision support systems. Although, the major contributors to these changes remain rising healthcare costs and rapidly increasing rate of hospital readmissions. In order to combat these adverse events, healthcare organisations are now more focused towards achieving evidence based clinical outcomes with the help of CDSS tools which generate alerts to prevent any misdiagnosis during any medical process.
The healthcare system is also expected to witness the shortage of physicians in the upcoming years enhancing the need of decision making tools in order to effectively manage physician time and prevent the overcrowding of hospitals due to increased medical needs. Management of physicians’ time is an important aspect in clinical diagnosis and is reflected from the fact that approximately 32% of the medical errors are caused due to shortage of physicians’ time for the patient’s assessment which significantly enhances the chances of misdiagnosis or an adverse event.
Despite the benefits of clinical decision support systems, these decision making tools are experiencing a low adoption rate because of challenges pertaining to their implementation. CDSS tools are perceived by physicians as a threat to their professional autonomy. In addition to this, physicians do not appreciate the idea of overreliance on a device and prefer to rely more on their own expertise gained over the several years of medical practice. Another barriers for low adoption of CDSS solutions include lack of integration with existing patient information systems and perceived disruption of clinical workflow, among others
However, the demand for these systems will be catalysed by the ongoing healthcare reforms across the world to improve patient care and satisfaction, reduce hospital readmission rates in order to reduce increasing healthcare costs. With the seamless integration of CDSS with EHR systems, their adoption rate is likely to increase in the upcoming years. Furthermore, the global CDSS market is expected to expand manifolds in the upcoming years with Artificial Intelligence powered automation which has the potential to automate entire clinical workflow of an organisation. Hence, the day is not too far when diagnosis and prescription orders given by a physician will be replaced by intelligent systems
The market report is well designed to provide an all-inclusive field of vision for the market in terms of various factors influencing it such as recent trends, technological advancements, and regulatory environment of the market. The scope of this report is centred upon conducting a detailed study of the solutions allied with the global clinical decision support systems market. The market has been segmented into Product, Mode of Delivery, Application, Model, User Interactivity and Geographical Regions. The report presents the reader with an opportunity to unlock comprehensive insights with respect to the market and helps in forming well informed strategic decisions. The research uncovers some of the substantial parameters that must be taken into consideration before entering into the market.
This research report aims at answering various aspects of the global clinical decision support systems market with the help of the key factors driving the market, threats that can possibly inhibit the overall growth of the market and the current investment opportunities that are going to shape the future trajectory of the market expansion. The study considers the growth-share matrix model for a comprehensive study of the global clinical decision support systems market and assesses the factors governing the same.
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