Global Clinical Decision Support System Market

Global Clinical Decision Support System Market Size, Share, Growth Analysis, By Product(Standalone CDSS, Integrated CPOE with CDSS), By Application(Drug-drug Interactions, Drug Allergy Alerts), By Deployment Mode(Web-based Systems, Cloud-based Systems), By Component(Hardware, Software) - Industry Forecast 2024-2031

Report ID: SQSG45F2024 | Region: Global | Published Date: February, 2024
Pages: 260 | Tables: 121 | Figures: 74

Global Clinical Decision Support System Market Dynamics

Clinical Decision Support System Market Driver

  • The European Union's health ministers agreed to work together and create an eHealth common area in 2021, allowing for the free flow of electronic health records throughout the continent. The declaration also urges the inclusion of eHealth as a key component of the Europe 2021 strategy. Such policies/initiatives are expected to increase the demand for and uptake of EHR, which will have an impact on the uptake of CDSS in important global markets.

Clinical Decision Support System Market Restraint

  • The global clinical decision support systems market is expected to experience growth challenges due to healthcare resources' resistance to install and run clinical decision support systems.
  • The global market for clinical decision support systems is expected to experience significant growth restraints due to higher software installation and post-sale support costs.
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FAQs

Global Clinical Decision Support System Market size was valued at USD 4.48 billion in 2019 and is poised to grow from USD 4.86 billion in 2023 to USD 10.7 billion by 2031, growing at a CAGR of 10.4% in the forecast period (2024-2031).

The market is indeed not overly highly competitive. The market has been distinguished by the presence of prominent participants as well as other clinical decision support system suppliers. To gain a competitive advantage over one another, these players engage in new product launches, product innovations, acquisitions, and partnerships. 'Cerner Corporation', 'Allscripts Healthcare Solutions, Inc.', 'McKesson Corporation', 'Philips Healthcare', 'GE Healthcare', 'Wolters Kluwer Health ', 'Epic Systems Corporation', 'Siemens Healthineers', 'IBM Watson Health', 'Athenahealth, Inc.', 'Carestream Health', 'Clinical Computer Systems, Inc.', 'Meditech', 'NextGen Healthcare', 'Intersystems Corporation', 'Elsevier B.V. ', 'Hearst HealthDecision Support Systems, Inc.DXC TechnologyTruven Health Analytics (a part of IBM Watson Health)'

The European Union's health ministers agreed to work together and create an eHealth common area in 2021, allowing for the free flow of electronic health records throughout the continent. The declaration also urges the inclusion of eHealth as a key component of the Europe 2021 strategy. Such policies/initiatives are expected to increase the demand for and uptake of EHR, which will have an impact on the uptake of CDSS in important global markets.

The growth of partnerships between CDSS providers and hospitals has significantly increased during the last few years. The demand is expected to rise even more as a result of government recognition and activities to promote the deployment of CDSS and EHR systems. By lowering the amount of time spent looking up a patient's medical history and records, integration with electronic health records (EHR) increases the effectiveness of clinical care. Additionally, the Health and Medicare Acts of the United States Government have approved CDSS, financially rewarding CDS integration into EHRs (Electronic Health Records). A CDSS was present in approximately 41% of American hospitals with an EHR in 2021, and a cutting-edge CDS was available in 40.2% of American hospitals in 2021. Additionally, businesses collaborate to create and offer software that is updated with the most recent data.

A large portion of the global market for clinical decision support systems is expected to be dominated by North America due to the region's higher adoption of clinical decision systems by healthcare organisations. In addition, the introduction of new technologies to integrate existing data handling systems, such as EHR and clinical decision systems, are providing patients with predictive scenarios, which are responsible for better patient experience and treatment.

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