ID: MRFR/HCIT/4580-CR | 100 Pages | Author: Kinjoll Dey | July 2018
Clinical Decision Support Systems market size was valued at USD 4.85 billion in 2021 and is projected to grow from USD 5.3253 billion in 2022 to USD 10.2461441 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 9.80% during the forecast period (2022 - 2030). Improving healthcare facilities and rising demand for quality care services are the key market drivers enhancing the market growth.
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
There has been a dramatic increase in the use of clinical decision support systems in hospitals and other healthcare facilities during the past few years. The need for assistance in making decisions in light of reliable data and timely insights has increased most rapidly in developed nations. CDSS simplifies the physical order input procedure by giving doctors access to a database of prescriptions. With an ever-increasing patient load, hospitals and clinics are finding it harder and harder to manage and keep track of their respective data. As a result, the worldwide market's CAGR during the last few years has been boosted by technical advancements.
Moreover, advancements in biotechnology and bioinformatics are driving innovations and enhancements in data management, analytics, and storage infrastructure. Many improvements are anticipated for the market as a result of R&D initiatives backed by large investments from corporations. Adoption of CDSS would increase if more systems used cloud computing and interoperability platforms to facilitate efficient operation and seamless data flow.
An electronic alarm system that may help patients with acute kidney damage [AKI] will be introduced in May 2023. Certain regularly used drugs should be stopped immediately in the event of AKI to prevent further harm. The creatinine level (a measure of kidney function) and potentially problematic drugs are sent to clinicians via this new clinical decision support system's alert. In their most recent work, researchers from Yale's Clinical and Translational Research Accelerator (CTRA) conducted a randomized controlled trial with a pragmatic approach.
The domains of biotechnology and bioinformatics are advancing quickly, which is pushing developments and optimizations in systems for data management, analytics, and storage. Following R&D programmes supported by significant corporate investments, the market is expected to see a significant number of advancements. The incorporation of cloud computing and interoperability platforms into many systems would further encourage efficient operation and seamless data flow, ultimately accelerating CDSS adoption.
Clinical decision support system adoption by hospitals and other healthcare facilities has surged significantly in recent years, indicating a large potential for expanded deployment. Demand for decision support based on factual evidence and current information has grown more quickly in industrialised areas. By allowing doctors to select from a database of prescriptions, CDSS facilitates the physical order entry process. It has become increasingly challenging to handle and keep track of the data for each hospital and clinic as the number of patients has increased. Therefore, such technological development has enhanced the market CAGR across the globe in recent years.
Additionally, the Health and Medicare Acts of the United States Government have approved CDSS, financially rewarding CDS integration into EHRs (Electronic Health Records). In 2013, around 41% of U.S. hospitals had both an EHR and a CDSS, and in 2017, 40.2% of U.S. hospitals had state-of-the-art CDS capabilities. Additionally, businesses collaborate to create and offer software that is updated with the most recent data. Thus, such an increase in awareness brought in by government initiatives is another factor driving the growth of the Clinical Decision Support Systems market revenue.
The Clinical Decision Support Systems market segmentation based on component, includes software, hardware, and services. The services segment held the majority share in 2021, contributing to the market revenue. This is as a result of regular programme updates and the useable knowledge base. The upkeep of parts and their accessories falls under the category of CDSS services. It offers a knowledge database with the newest discoveries and drugs, as well as hardware and software upgrades.
Software is the second fastest-growing segment, which accounts for a considerable share of the Clinical Decision Support Systems market. The CDSS software offers improved decision assistance by producing tailored and unique outcomes for the given patient when used in connection with software for CPOE and EHRs. During the forecasted years, new developments in software interoperability and technical support are expected to boost the market.
December 2020 Evercare Group, a healthcare network in emerging markets, has chosen UpToDate Advanced to improve patient care and quality across its organisation, according to a Wolter Kluwer announcement.
August 2019 All previous versions of DynaMed have been replaced by DynaMed®, the clinical decision support tool that is the centrepiece of EBSCO Information Services' (EBSCO) clinical workflow.
Figure 2 Clinical Decision Support Systems Market, by Type, 2021 & 2030 (USD Million)
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
The Clinical Decision Support Systems market segmentation based on product, includes Integrated CDSS, and Standalone CDSS. The Standalone CDSS segment held the majority share in 2021, contributing to the Clinical Decision Support Systems market revenue. As a result of its inexpensive price and ease of use, it is frequently used. Its maximum share has been attributed to the ease of usage in clinical and medical settings. Throughout the forecast period, the standalone sector will retain its market dominance.
Integrated CDSS is the second fastest-growing segment, which accounts for a considerable share of the Clinical Decision Support Systems market. The share of CDSS integrated with EHR is likely influenced by multi-specialty health care units' increasing awareness and use of EHR. These systems give CDSS access to the patient database and medical history so that it can automate the clinical workflow by offering clinical solutions and prescription recommendations to the practitioner.
The Clinical Decision Support Systems market segmentation based on model, includes Knowledge-Based CDSS, and Non-Knowledge-Based CDSS. The Knowledge-Based CDSS segment held the majority share in 2021, contributing to the Clinical Decision Support Systems market revenue. The size and high proportion of this market can be linked to the Knowledge-Based CDSS's many advantageous features, such as its ability to support doctors' clinical judgements in the face of uncertainty by using Knowledge-Based reasoning.
Non-Knowledge-Based CDSS is the second fastest-growing segment, which accounts for a considerable share of the Clinical Decision Support Systems market. CDSS that are non-knowledge-based still need a data source, but the decision is made using artificial intelligence (AI), machine learning (ML), or statistical pattern recognition rather than being programmed to adhere to expert medical knowledge.
The Clinical Decision Support Systems market segmentation based on type, includes Therapeutic Clinical Decision Support Systems, and Diagnostic Clinical Decision Support Systems. The services segment held the majority share in 2021, contributing to the Clinical Decision Support Systems market revenue. The ability of systems to use patient-specific data to deliver individualized suggestions for therapy is a key component of the health information technology benefits that have been promised.
Diagnostic Clinical Decision Support Systems is the second fastest-growing segment, which accounts for a considerable share of the Clinical Decision Support Systems market. CDSS offer assistance with patient triage, ordering of treatments and testing, and clinical and diagnostic coding. Developed algorithms can provide a refined list of diagnosis codes to help doctors choose the most appropriate one (s).
The most recent versions of OpenAI's ChatGPT, GPT-3.5 and GPT-4, which were reported in June 2023, might be useful as clinical assistance systems that triage patients in need of imaging services. The ability of these huge language models to refer patients for imaging scans based on diverse clinical needs is described in a new research published in the Journal of the American College of Radiology. Recently, experts have been testing the LLMs to see what the notorious chatbot would prescribe in terms of imaging for cases in which women attend for discussion of breast cancer screening or for worries about breast pain. With access to patient pretest chances, diagnostic probability ratios, and medical records, an AI-based solution integrated into existing clinical procedures and systems could significantly increase efficiency.
In July 2023, Northwell Health's research arm, The Feinstein Institutes for Medical Research, has created an artificial intelligence (AI)-based clinical decision support tool that can forecast the prognosis and severity of COVID-19 patients using blood test and electronic health record (EHR) data. Clinical prognostic models, as described in the accompanying article, can be useful in making decisions about patient care, but their accuracy may fluctuate over time and across different settings. According to the study authors, this means these models require constant scrutiny and revision. Despite quick, significant changes among variants and disease waves, the authors observe current prognostic models for COVID-19 do not account for these variations in performance. The goal of the study was to create a model that could predict rapid shifts in patient status and outcome.
By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. North America Clinical Decision Support Systems market accounted for USD 2.12915 billion in 2021 and is expected to exhibit a 43.90% CAGR growth during the study period. This is attributed to the growing technological advancements for Clinical Decision Support Systems and rising innovations in healthcare systems across the region.
Further, the major countries studied in the market report are The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3 CLINICAL DECISION SUPPORT SYSTEMSMARKET SHARE BY REGION 2021 (%)
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
Asia Pacific Clinical Decision Support Systems market accounts for the second-largest market share. This can be linked to growing financial commitments to the healthcare industry in nations like Australia, China, India, and Japan. Due to rising R&D spending by key economies to advance the adoption of information technology in the medical sector, the market in Asia Pacific is exhibiting significant potential. Additionally, the growing number of elderly people will probably play a significant role in driving the local market. In a number of nations, including India, China, Japan, and Australia, investments in the healthcare sector are rising. Hence, the China Clinical Decision Support Systems market and Australia Clinical Decision Support Systems market held the largest market shares in the region.
The Europe Clinical Decision Support Systems market is expected to grow at the fastest CAGR from 2022 to 2030. U.K. Clinical Decision Support Systems market is predicted to lead the clinical decision support system market in the region of Europe. The region's expansion is being fueled by an increase in the number of occurrences of pharmaceutical mistakes. The rise is also seen on the map for other nations like Germany, France, Italy, and Spain.
Clinical Decision Support Systems Key Market Players & Competitive Insights
Major market players are spending a lot of capitals on R&D to enhance their product lines, which will aid the Clinical Decision Support Systems market expand. Market players are also taking a range of strategic measures to expand their worldwide footprint, with prime market developments such as new product innovations & launches, contracts & agreements, mergers and acquisitions, better investments, and collaboration & strategic partnerships with other organizations in the market. Competitors in the Clinical Decision Support Systems industry must offer cost-effective items to extend and survive in an increasingly high competitive and expanding market environment.
One of the primary business strategies adopted by manufacturers in the Clinical Decision Support Systems industry to benefit clients and expand the market sector is to manufacture locally to reduce operating costs. In recent years, Clinical Decision Support Systems industry has provided medicine with some of the most significant benefits. The Clinical Decision Support Systems market major player such as Cerner Corporation (Oracle), Meditech, and Epic Systems Corporation, and others are working to drive the market growth via investing heavily in research and development activities.
Cerner Corporation (Oracle) is an international provider digital information systems used within hospitals and health systems to enable medical professionals to deliver better healthcare to individual patients and communities. In July 2022, A cooperation between Cerner Corporation and Holon Solutions has been made public in order to provide quick, seamless clinical decision support at the point of care.
Also, Meditech creates EHRs to improve and streamline practitioners' contact with patients. In March 2022, Google Health and MEDITECH declared their intention to work together on an integrated solution using MEDITECH's Expanse platform. The solution will make it possible to use Google Health's search and summary features inside the Expanse EHR.
Key Companies in the Clinical Decision Support Systems market includes
Clinical Decision Support Systems Industry Developments
April 2021 The most recent iteration of the company's premier CDS product, InterQual 2021, was unveiled by Change Healthcare. This update includes a significant amount of evidence-based content updates and upgrades, four novel Medicare criterion parts, new recommendations for COVID-19 patients, social variables in health, and appropriate telehealth use.
Report Attribute/Metric | Details |
Market Size 2021 | USD 4.85 billion |
Market Size 2022 | USD 5.3253 billion |
Market Size 2030 | USD 10.2461441 billion |
Compound Annual Growth Rate (CAGR) | 9.80% (2022-2030) |
Base Year | 2021 |
Market Forecast Period | 2022-2030 |
Historical Data | 2018 & 2020 |
Market Forecast Units | Value (USD million) |
Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
Segments Covered | Component, Product, Model, and Type |
Geographies Covered | North America, Europe, Asia Pacific, and Rest of the World |
Countries Covered | The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
Key Companies Profiled | Cerner Corporation, Meditech, Epic Systems Corporation, Athenahealth Inc., Allscripts, Carestream, Agfa-Gevaert Group, and Elsevier B.V. |
Key Market Opportunities | Rising government initiatives promotes the use of HCIT solutions |
Key Market Dynamics | Increasing technological improvements Rise in adoption of Clinical Decision Support Systems |
The Clinical Decision Support Systems market size was valued at USD 4.85 billion in 2021.
The market is projected to grow at a CAGR of 9.80% during the forecast period, 2022-2030.
North America had the largest share in the Clinical Decision Support Systems market
The key players in the market are Cerner Corporation, Meditech, Epic Systems Corporation, Athenahealth Inc, and Allscripts.
The knowledge-based-CDSS category dominated the Clinical Decision Support Systems market in 2021.
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