Tuesday, November 19, 2019

Growth in Development of IT Healthcare Organizations Estimated to Drive CDSS Market over the Forecast Period: Ken Research

Clinical decision support system or CDSS is an administrative as well as clinical tool which helps in improving operational efficiency of healthcare practices. It is designed to assist physicians & other health professionals in clinical decision-making tasks. It is an adaptation of decision support system generally used to aid business management. CDSS deployment helps managing data faster decision-making, and higher workflow efficiency in patient care.

According to study, “CDSS Market: Component (Software), Product (Integrated CDSS), Model (Knowledge-Based CDSS) Delivery Mode (On-Premise CDSS), Mode of Advice (Active CDSS), Setting (Inpatient Setting), Type (Therapeutic CDSS), Application (Advanced CDSS) - Global Forecast Till 2023” the key companies operating in the CDSS market are Hearst Communications Inc., Wolters Kluwer Health, Oncology Analytics, Inc., Elsevier B.V., Athenahealth, Inc., Truven Health Analytics, Agfa-Gevaert Group, Zynx Health, National Decision Support Company, Persivia Inc., Siemens AG, VisualDx, Epic Systems Corp., Alfa Healthcare, Cerner Corp., NextGen Healthcare Information System, Carestream Health Inc., McKesson Corp., First Databank, Inc., Wolters Klywer NV, Philips Healthcare, ELSEVIER B.V, Medical Information Technology Inc., Inferscience, Inc., GE Healthcare, Allscripts Healthcare Solutions Inc., IBM Corporation. Companies are implementing the strategy acquisition & collaboration with parallel companies to expand or strengthen its geographic presence in international market.
Based on type, CDSS market is split into diagnostic clinical decision support systems and therapeutic clinical decision support systems. Based on component type, market is split into services, hardware and software. Based on product type, market is split into standalone CDSS, integrated Electronic Health Record (EHR) with CDSS, integrated Computerized Provider Order Entry (CPOE) with CDSS and integrated CDSS with CPOE and EHR. Based on model type, market is split into knowledge-based CDSS and non-knowledge-based CDSS. Based on delivery mode, market is split into on-premise CDSS and cloud-based CDSS. Based on level of interactivity, market is split into active CDSS and passive CDSS. Passive CDSS segment is projected to be the most attractive market owing to advantages such as saving user’s time, providing valid & reliable information, and integrating system recommendation alerts. Based on setting, market is segmented into ambulatory care settings and inpatient settings. In addition, based on applications, market is segmented into clinical guidelines, drug allergy alerts, drug-drug interactions, clinical reminders, drug dosing support and others.
The CDSS market is driven by growth in incidence of medication errors, followed by government support & initiatives, rise in prominence and usage of big data & Mhealth tools, high prevalence of chronic diseases, increase in adoption of cloud computing in healthcare, high returns on investment for CDSS solutions, and partnerships between clinical decision support companies and medical research groups. However, reluctance to adopt mobile CDSS, data security concerns related to cloud-based CDSS, high investments for IT infrastructure and lack of interoperability may impact the market. Moreover, rise in technological advancements in healthcare IT solutions and emerge in markets for healthcare IT are major opportunities for market.                   
Based on geography, the North-American region holds major share in CDSS market owing to presence of a large number of reimbursement policies, growth in technologically advanced research & treatment platforms for diagnosis of chronic diseases, increase in development of IT healthcare organizations and rise in Canadian healthcare infrastructure in the region. The Asian-Pacific region is predicted to witness higher growth rate due to increase in the group medical practices and rapid growth in the geriatric population over the forecast period.
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