According to a new report published by Allied Market Research, titled, โClinical Decision Support System Market: Global Opportunity Analysis and Industry Forecast 2020-2027โ A clinical decision support system (CDSS) with the use of various data such as patient information and records, targeted clinical data and other health information aims to enhance healthcare experience and delivery by assisting in critical medical decisions making. CDSS has evolved on the way right from 1970s. The prior versions of CDSS were involved in direct clinical decision making wherein, the data related to patient was matched and compared with the industry standards by the software to give recommendations, thus aiding the physicians and healthcare professionals in clinical decision making. While the modernized CDSS available currently are used at point-of-care and integrates expertise and knowledge of the clinicians and information or suggestions for a particular situation. Efforts to develop CDSS capable of analyzing and interpreting loads of data which is beyond human capabilities are being made. CDSS consists of various tools that offer revised, targeted sets of data specific to a human or situation to the clinicians. It is implemented in healthcare scenario to increase the efficiency and reduce errors and faults.
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COVID-19 Scenario Analysis:
- The COVID-19 pandemic has emerged as a humanitarian as well as economic crisis, creating strain on the society and affecting millions of people and businesses
- Industry closures and people are asked to stay in their homes which has cause taken a huge toll in terms of money and economic growth
- Over 4 million people affected globally, with 300 thousand losing their lives due to novel coronavirus
- Healthcare organizations are already working in battle mode, preparing new plans to respond growing COVID-19 patients, right from sourcing rapid diagnosing kits to sufficient PPE kits for workers
- However, CDSS can be of great importance in this COVID-19 pandemic period as they would help the healthcare authorities, professionals and clinicians in taking various clinical decisions using prior experience, knowledge, data and suggestions provided by CDSS
- In order to distress the healthcare providers and increase efficiency, governments are implementing CDSS in COVID-19 related healthcare services
Technological advancements and integration of disciplines like biotechnology and information technology (IT) i.e. bioinformatics has paved way for implementation of data optimization for data analytics, data storage and management. Numerous innovations supported by investments in R&D activities have provided solutions for big data handling and its efficient use in healthcare sector. Implementation of cloud computing supplemented by interoperating systems will further enable smooth function and efficient usage of data which will lead to significant increase in the demand for CDSS in the global market.
Rising geriatric population, increasing number of hospitals and healthcare service providers integrating different types and forms of CDSS at various levels to benefit due to its assistance and expertise in clinical decision making. Demand for support based decision making has also increased in recent times as it minimizes the risk and errors which may affect the outcome. Furthermore, CDSS ensures smooth administration of number of patients visiting hospitals and healthcare facilities regarding maintenance and management of data entry, storage and collection. These factors would fuel the growth of CDSS in the market in the near future. In recent times, there has been increasingly importance given to precision medicine and customization in therapeutic treatment as well as quality care wherein CDSS comes in the frame and aids in providing customization efficiently by accessing clinical records, history and patient data rapidly and offer target-specific suggestion with use of Electronic Health Record (EHR). This will surge the demand of CDSS in the market.
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The key market players profiled in the report include Meditech, Cerner Corporation, Epic Systems Corporation, Allscripts, Mckesson, Philips Healthcare, Wolters Kluwer Health, Hearst Health, Elsevier B.V and IBM.
๐๐๐ฒ ๐๐๐ง๐๐๐ข๐ญ๐ฌ:
- This study presents the analytical depiction of the global clinical decision support system industry along with the current trends and future estimations to determine the imminent investment pockets.
- The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the global clinical decision support system market share.
- The current market is quantitatively analysed from 2020 to 2027 to highlight the global clinical decision support system market growth scenario.
- Porterโs five forces analysis illustrates the potency of buyers & suppliers in the market.
- The report provides a detailed global clinical decision support system market analysis based on competitive intensity and how the competition will take shape in coming years.
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