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Feb. 16, 2020, 11:49 a.m. EST

Clinical Decision Support Systems Market Size, Share Analysis 2020: Worldwide Industry Details by Overview, Growth, Top Manufacturers, Supply Demand and Shortage, Trends, Demand, Overview, Forecast to 2023

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Feb 16, 2020 (The Expresswire) -- Global Clinical Decision Support Systems Market Report is a pro and comprehensive analysis on the Clinical Decision Support Systems sector which highlights the key trends and market drivers in the present scenario and offers on-the-ground insights(2020-2023).

The " Clinical Decision Support Systems " Market (2019-2023) research report gives an expert and top to bottom analysis on the current state focuses on the major players and restraints for the key players. Global Clinical Decision Support Systems Industry report additionally gives granular analysis of the market size, share, segmentation, revenue forecasts and geographic regions of the market. This report categorizes the market based on market overview, regions, analysis by types and applications, market dynamics and manufacturers profiles.

Get a sample copy of the report at- https://www.marketreportsworld.com/enquiry/request-sample/12347179

Moreover, development policies and plans are discussed as well as manufacturing processes and cost structures. This report also states Clinical Decision Support Systems market trend, import/export, supply and consumption figures as well as cost, price, revenue and gross margin by regions, and other regions can be added.Clinical Decision Support Systems market forecast For the period of 2020-2023, this study provides the Clinical Decision Support Systems sales, revenue and market share for each player covered in this report.

TopManufacturersListed inthe Clinical Decision Support Systems Market Report are:

  • Cerner Corporation

  • EPIC

  • IBM

  • Mckesson Corporation

  • Meditech

  • Phillips Healthcare

  • Siemens Healthcare

The clinical decision support systems market is expected to grow at a CAGR of about 11% during the forecast period. Physicians, nurses, and other healthcare professionals use CDSS to perform diagnosis and to review the diagnosis as a means of improving the result. Data mining may be piloted to examine the medical history of patients in combination with appropriate clinical research. Such examination can help predict possible events, which can range from drug interactions to disease symptoms. Some physicians prefer to evade over-consulting their CDSS, relying instead on their professional skill to determine the best course of care.

Need for Reducing Human Errors

Determining accurate medication doses is a difficult and time-consuming process and especially critical for infants and children in emergency situations. Calculations involving intricate formulas are often difficult to memorize, and mathematical errors can still occur even when the formulas are accurately recalled. Varying dosing programs based on indication and pharmacokinetics represent additional opportunities for error. Clinical decision support systems can give physicians and nurses easy and quick access to drug-specific dosing calculators, full drug profiles with age, weight, disease and renal adjustment dosing, and much more. Accurate medication information and dosing calculators, easily accessible within the medical workflow, can provide a significant reduction in errors. Owing to these capabilities of the system, there will be a boost in the growth of the clinical decision support systems market. Other factors that will affect the growth of this market include rising demand to reduce healthcare expenditure, need for improvement in quality of care, rising chronic disease population, and more adoption rate in emerging economies.

Lack of Trust in the System as CDSS is in its Initial Stages of Development

The most often recurring barriers to CDSS implementation included earlier experience of dysfunctional computer systems in health care, general resistance towards changes in practice, and time management issues. In a study conducted by Oxford University, all groups listed numerous examples of dysfunctional healthcare IT systems, and they were worried of consequences if CDSS is built on the existing imperfect systems. This lack of trust in the healthcare professionals will lead to them not including for CDSS in their practice. This will eventually lead to the slowdown of the growth of this market. Other factors that will influence the decline of this market include lack of skilled labor, and suggestions from CDSS for unnecessary diagnostic testing will hinder the market growth.

North America to Maintain Dominance

North America is the leading market in the world, followed by Europe. Asia-Pacific is the fastest developing region. The large market share of North America can be attributed to factors such as the rising demand for quality healthcare delivery, need to curb increasing healthcare expenditure, and implementation of favorable initiatives and regulations are driving the growth of the CDSS market in the United States.

Key Developments in the Market:

  • February 2018 The US Food and Drug Administration (FDA) announced marketing clearance for Viz.AI's Contact application, the first artificial intelligence-based clinical decision support (CDS) solution cleared for sale in the United States. Viz.AI Contact is designed to analyze computed tomography (CT) results.

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