Authored By: Sarah
11 Jul 2024

 Medical Decision Support Systems Market Size to grow by USD 661.8 million between 2024-2028

According to a research report “ Medical Decision Support Systems Market” by Product Type (Knowledge-based, Non-knowledge-based) Geography (North America, Europe, Asia, Rest of World (ROW))- Global Forecast to 2028 published by Technavio, the market size is estimated to grow by USD 661.8 million, at a CAGR of  8.12% during the forecast period. In the context of the global healthcare landscape, the World Bank Group reports that approximately 10% of the world's population reached the age of 65 or above in 2022. This demographic shift brings about a significant rise in the prevalence of chronic diseases, including diabetes, cancer, and cardiovascular conditions. Consequently, the demand for advanced healthcare technologies for accurate diagnosis and effective treatment is escalating. Furthermore, the efficient management of vast amounts of medical data is essential to optimize patient care. In response to this growing need, medical decision support systems (MDSS) have gained widespread adoption for monitoring, diagnosing, and managing chronic diseases and lifestyle disorders. This trend is set to fuel the expansion of the global medical decision support systems market.

Browse market data tables, figures, and in-depth TOC on “Medical Decision Support Systems Market” by Product Type (Knowledge-based, Non-knowledge-based) Geography (North America, Europe, Asia, Rest of World (ROW)) Global Forecast to 2028. Download Free Sample

 

By Product Type, the Knowledge-based segment is projected to dominate the market size in 2024

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By Geography, North America  segment is expected to hold the largest market size for the year 2024

A Medical Decision Support System (MDSS) is a business solution that incorporates a knowledge base, an inference engine, and a communication mechanism. The inference engine applies pre-programmed rules from the knowledge base to patient data, generating potential diagnoses or treatment recommendations. These rules can be derived from literature, clinical practice, or patient data. An advanced MDSS user is responsible for maintaining the knowledge base's currency with the latest medical research and clinical procedures. The system's communication mechanism presents the results to the user in a clear and concise manner. In essence, the MDSS employs an "If-Then" logic approach, utilizing the inference engine to process patient data against a set of rules and delivering the resulting recommendations.

North America is forecasted to hold the largest market size by region in 2024

The Medical Decision Support Systems (MDSS) market is experiencing significant growth due to the increasing demand for data-driven healthcare solutions. MDSS utilizes advanced analytics and artificial intelligence to assist medical professionals in making informed decisions, improving patient outcomes, and reducing healthcare costs. Key players in this market include IBM Watson Health, Cerner Corporation, and Epic Systems. The market is expected to continue expanding as the healthcare industry shifts towards value-based care and personalized medicine.

The Medical Decision Support Systems Market growth and forecasting report also includes detailed analyses of the competitive landscape of the market growth and forecasting and information about 20 market companies, including:

  • Agfa Gevaert NV
  • ALLSCRIPTS HEALTHCARE SOLUTIONS INC.
  • Cedar Gate Technologies
  • Change Healthcare Inc.
  • Cohesic Inc.
  • Epic Systems Corp.
  • Fortive Corp.
  • Hearst Communications Inc.
  • Hera MI SAS
  • International Business Machines Corp.
  • Koninklijke Philips N.V.
  • Medical Information Technology Inc.
  • McKesson Corp.
  • Nuance Communications Inc.
  • Oracle Corp.
  • OSP
  • Premier Inc.
  • RELX Plc
  • Siemens AG
  • Wolters Kluwer NV
.

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Research Analysis Overview

Medical Decision Support Systems (CDSS) have become an integral part of modern healthcare, assisting healthcare professionals in delivering accurate and personalized patient care. These systems offer online services that integrate clinical guidelines, drug allergy alerts, and prescription decision support into health systems. Conventional CDSS have evolved into CDSS enabled Electronic Health Records (EHRs), providing Information Retrieval, Alerts and Reminders, and Medical Diagnosis capabilities. Healthcare providers, including office-based physicians, benefit from these systems by gaining access to real-time patient data and novel therapies. Legal frameworks ensure authorized users maintain patient data confidentiality. CDSS can be deployed on-premise or cloud-based, with the latter offering software upgrades and easier access to the latest clinical knowledge. Standalone CDSS and integrated CDSS cater to different needs, with the former offering more specialized functions and the latter providing a more comprehensive solution. Regardless of the deployment model, CDSS play a crucial role in enabling personalized medicine and improving patient outcomes. As healthcare continues to evolve, CDSS will remain essential tools for healthcare professionals in delivering high-quality, evidence-based care.

Market Research Overview

Medical Decision Support Systems (CDSS) have become an integral part of modern healthcare, helping clinical professionals make informed decisions at the point of care. CDSS utilize clinical guidelines, drug allergy alerts, and personalized medicine to improve health outcomes and quality of care. Advanced CDSS offer real-time, context-specific recommendations, while conventional CDSS provide alerts and reminders. CDSS are integrated into Electronic Health Records (EHRs) and CDSS-enabled EHRs, benefiting office-based physicians and hospitals alike. They help prevent medication errors, patient triage, and offer consultation through virtual sources. CDSS come in various forms, including on-premise counterparts and cloud-based solutions. Software upgrades ensure the latest clinical knowledge, legal frameworks, and authorized user access to patient data. Healthcare providers must consider cybersecurity risks, such as cyberattacks, web browsers, storage space, and computational power when implementing CDSS. CDSS are essential for managing chronic diseases, diagnostic testing, and novel therapies. They cater to the geriatric population, ensuring accuracy and improving health systems' overall performance. With the increasing adoption of cloud computing, CDSS are becoming more accessible to healthcare professionals and online services. However, challenges remain, including data privacy, interoperability, and the need for regulatory compliance.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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