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CLINICAL DECISION AND SUPPORT SYSTEM MARKET ANALYSIS

Clinical Decision and Support System Market- by Products (Stand Alone CDSS and Integrated CDSS), by Component (Hardware, Software and Services), by Mode of Delivery (On Premise CDSS and Cloud based CDSS), by Application (Diagnosis Support, Prescription Support, Clinical Alert and Clinical Guideline and Others), by End User (Hospitals, Ambulatory Centers, Clinics and Others ),   and by Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2018 - 2026

  • Published In : Aug 2018
  • Code : CMI2054
  • Pages :177
  • Formats :
      Excel and PDF
  • Industry : Healthcare IT

Market Challenges And Opportunities

Various benefits provided by the CDSS to drive growth of the clinical decision support system market

According to report by Healthcare Information and Management Systems Society in 2011, Clinical decision support system has been proved to be helpful in reducing number of days at hospitals, reduction in hospital readmissions, preventing the incidence of medical error, and adverse events due to clinical decision. Advantages offered by clinical decision support system are expected to increase its adoption among end users, which in turn is driving growth for the clinical decision support system market.

Developed economy such as the U.S. invests US$ 10,000 per person annually, according to data given by the Organization of Economic Cooperation and Development in 2017. Significant cost is incurred due to various medical errors and adverse drug events. According to study published in the BMJ, in 2016, more than 250,000 people die annually due to medical errors in the U.S. Significant number of deaths and extra cost on hospital stay can be saved by integrating CDSS in the healthcare provider infrastructure.

  1. CDSS must integrate with a healthcare provider’s clinical workflow, which is often complex task. Incorporating large amounts of data into existing systems places significant strain on application and infrastructure maintenance
  2. Few clinical decision support systems ,which are stand-alone lack facility for integration with EHR system, which may lead to repetition of task
  3. Updating development in clinical data on regular basis from ongoing clinical research and medical trials is challenging, as vast number of research and medical trials are being published every day.

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