Market Research Future is Leading Research Company which has provide a Half Cooked report on “Clinical Decision Support Systems (CDSS) Market Research Report – Forecast to 2023” for Better Understanding of Revenue Model and Sources of Revenue
Pune, India -- (SBWIRE) -- 12/19/2018 -- Market Insights:
Market Research Future (MRFR)'s recently published report reveals that the Global Clinical Decision Support System (CDSS) Market is set to witness large-scale adoption and thrive at 12% CAGR during the forecast period 2018 to 2023. The market is estimated to reach a valuation of USD 1.76 Bn by 2023 up from USD 891.78 Mn in 2017.
The increasing pool of patients, exponential geriatric population, rising burden of chronic diseases, etc. have intensified the need for advanced healthcare. This, in turn, is likely to open avenues of growth for CDSS market players over the next couple of years. Additionally, the developing economies have emerged as potential markets for clinical decision support system. However, data breach and privacy concerns remain a challenge to the technology vendors.
Get Premium Sample Copy @ https://www.marketresearchfuture.com/sample_request/6038
Top Competitors:
Some of the key players profiled in the report are Agfa-Gevaert Group, Elsevier B.V., Cerner Corporation, Meditech, Allscripts, Carestream, Athenahealth, Hearst Health, Epic Systems Corporation, and Wolters Kluwer Health.
Market Updates:
In August 2018, the U.S. based Steward Health Care has enlisted CDSS tools from Wolters Kluwer to help standardize evidence-based practices across care settings. The technology is deployed across ten states and 38 hospitals.
Market Segmentation:
By product, the Global Clinical Decision Support System Market is segmented into integrated CDSS and standalone CDSS.
By model, the Clinical Decision Support System Market has been segmented into Knowledge-based CDSS and Non-Knowledge-based CDSS.
By delivery mode, the Global Clinical Decision Support System Market is segmented into in-premise and cloud-based systems.
By mode of advice, the Clinical Decision Support System Market has been segmented into passive CDSS and active CDSS.
By settings, the Global Clinical Decision Support System Market is segmented into inpatient settings and ambulatory care settings.
By type, the Clinical Decision Support System Market has been segmented into therapeutic clinical decision support system and diagnostic clinical decision support system.
By application, the Global Clinical Decision Support System Market is segmented into conventional clinical support systems and advanced clinical decision support system.
Browse Full Report @ https://www.marketresearchfuture.com/reports/clinical-decision-support-systems-market-6038
Regional Analysis:
By region, the global clinical decision support system has been segmented into Americas, Europe, Asia Pacific, and the Middle East & Africa. Americas is set to retain its pole position through the forecast period. The growth is attributable to the increased emergency visits in the region. Additionally, the region encompasses some of the developers of the technology whose growth strategies encourage the proliferation of the regional market. The U.S. and Canada are estimated to lead the North America clinical decision support system market over 2023.
Europe is expected to secure the second largest share of the market. The factors responsible for favoring the market expansion in the region are growing healthcare expenditure, patient accessibility to advanced healthcare facilities, and, increasing initiatives of the government for the promotion of advanced healthcare IT.
Asia Pacific is likely to remain highly lucrative market across the review period. The factors that are expected to aid clinical decision support system market expansion in the region are increasing pool of patients, rising count of government diseases, adoption of next-gen technologies in healthcare, and, developing healthcare sector.
Table of Contents
1 Report Prologue
2 Market Introduction
2.1 Definition
2.2 Scope Of The Study
2.3 Research Objective
2.4 Assumptions & Limitations
2.4.1 Assumptions
2.4.2 Limitations
2.4.3 Market Structure
3 Research Methodology
3.1 Primary Research Methodology
3.2 Secondary Research Methodology
3.3 Market Size Estimation
3.4 Forecast Model
4 Market Dynamics
4.1 Introduction
4.2 Drivers
4.2.1 Increasing Geriatric Population
4.2.2 Increasing Number Of Hospitals
4.2.3 Growing Demand For Data-Driven Technologies
4.2.4 Increasing Number Of Emergency Department (ED) Visits
4.3 Restraints
4.3.1 Risk Of Data Privacy
4.3.2 High Cost For The Implementation
4.3.3 Lack Of Skilled Healthcare IT Professionals
4.4 Opportunity
4.4.1 Advancements In The Healthcare IT Sector
4.5 Macroeconomics
4.6 Technology Trends
5 Market Factor Analysis
…