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Global Clinical Decision Support Market Size By Component (Hardware, Software, Services), By Product (Integrated, Standalone), By Delivery Mode (Cloud-based, Web-based, On-premises), By Application (Conventional, Advanced), By Type (Therapeutic, Diagnostic), By User Interactivity (Active, Passive), By Model (Knowledge-Based, Non-Knowledge-Based), By Geographic Scope & Forecast

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Clinical Decision Support Market Size And Forecast

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Clinical Decision Support Market size was valued at USD 1659.87 Million in 2023 and is projected to reach USD 3767.05 Million by 2031, growing at a CAGR of 11.90% from 2024 to 2031.

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  • Clinical decision support (CDS) acts as a digital partner for healthcare professionals, offering them a wealth of knowledge and patient-specific insights at the point of care. It’s not a one-size-fits-all solution, but rather a diverse toolbox filled with various functionalities designed to enhance clinical decision-making.
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  • One core function of CDS is the delivery of clinical knowledge. This can encompass evidence-based guidelines, best practices, and drug information databases. Imagine a doctor treating a complex case. CDS can provide them with up-to-date information on treatment options, potential drug interactions specific to the patient’s medical history, and relevant clinical trials. This empowers the doctor to make informed decisions based on the latest medical knowledge.
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  • CDS doesn’t operate in a vacuum. It integrates seamlessly with electronic health records (EHRs), allowing it to factor in a patient’s unique medical history, allergies, and current medications. This personalized approach ensures that the recommendations and alerts presented by CDS are directly relevant to the patient’s situation. For instance, a CDS system might flag a potential drug interaction based on the patient’s existing medications, prompting the doctor to consider alternative treatment options.
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  • CDS goes beyond just providing information. It can also act as a vigilant guardian, issuing real-time alerts and reminders to healthcare professionals. These alerts might warn about potential medication errors, overdue vaccinations, or missed opportunities for preventive care. Imagine a nurse preparing to administer medication. A CDS alert might highlight a potential drug allergy in the patient’s record, preventing a critical mistake.
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  • CDS isn’t just about making better decisions; it’s also about making the decision-making process smoother. By automating routine tasks like generating order sets or providing pre-populated documentation templates, CDS can free up valuable time for healthcare professionals. This allows them to focus on what matters most – delivering quality care to their patients.
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  • The realm of CDS isn’t limited to a single type of tool. It encompasses a wide range of functionalities, from simple order sets and drug interaction checks to sophisticated diagnostic support systems that utilize artificial intelligence. This variety ensures that CDS can cater to the specific needs of different healthcare specialties and clinical scenarios.
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Clinical Decision Support Market Size And Forecast is estimated to grow at a CAGR of 11.90% & reach US$ 3767.05 Mn by the end of 2031Clinical Decision Support Market Size And Forecast is estimated to grow at a CAGR of 11.90% & reach US$ 3767.05 Mn by the end of 2031

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Global Clinical Decision Support Market Dynamics

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The key market dynamics that are shaping the global Clinical Decision Support Market include:

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Key Market Drivers:

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  • Rising Adoption of Electronic Health Records (EHRs): The widespread implementation of EHRs creates a fertile ground for CDS. EHRs serve as a centralized repository of patient data, making it easier for CDS systems to access and analyze this information. This seamless integration allows CDS to deliver more precise and personalized recommendations tailored to each patient’s unique medical background. As EHR adoption continues to climb globally, it will undoubtedly act as a major driver for the CDS market.
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  • Growing Focus on Improving Patient Outcomes and Reducing Costs: Healthcare stakeholders are constantly seeking ways to enhance patient care while optimizing costs. CDS offers a compelling solution on both fronts. By providing evidence-based guidance and prompting appropriate interventions, CDS can help improve treatment effectiveness, reduce medication errors, and prevent avoidable complications. This translates to better patient outcomes and lower healthcare costs, making CDS an attractive proposition for hospitals, clinics, and healthcare payers alike.
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  • Escalating Burden of Chronic Diseases: The global prevalence of chronic diseases like diabetes, heart disease, and cancer is on the rise. Managing these complex conditions requires a multifaceted approach, and CDS can play a crucial role. CDS systems can offer healthcare providers tools for disease management, medication adherence monitoring, and preventive care reminders. This comprehensive support system empowers healthcare professionals to deliver more effective chronic disease management, potentially leading to improved patient health and reduced healthcare resource utilization.
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  • Advancements in Artificial Intelligence (AI) and Big Data Analytics: The field of healthcare is witnessing a surge in AI and big data capabilities. These advancements are being harnessed to develop next-generation CDS systems. AI-powered CDS can analyze vast amounts of patient data to identify patterns, predict potential risks, and suggest personalized treatment plans. This integration of AI and big data opens doors for more sophisticated and intelligent CDS functionalities, propelling the market forward.
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  • Government Regulations and Initiatives: Several governments around the world are actively promoting the adoption of health information technology (HIT) solutions, including CDS. These initiatives often involve financial incentives, regulatory requirements, and infrastructure development programs. This top-down support plays a significant role in encouraging healthcare institutions to invest in CDS technology, thereby accelerating market growth.
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  • Increasing Focus on Value-Based Care: The healthcare landscape is shifting towards a value-based care model, where providers are rewarded for delivering quality care and positive patient outcomes. CDS aligns perfectly with this paradigm. By promoting evidence-based practices, reducing medical errors, and optimizing resource allocation, CDS can contribute significantly to delivering high-value care. As value-based care models gain traction, the demand for CDS is expected to rise correspondingly.
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  • Growing Awareness and Acceptance Among Healthcare Professionals: As the benefits of CDS become increasingly evident, healthcare professionals are recognizing its value in improving patient care. Educational programs, workshops, and successful implementation case studies are fostering greater acceptance of CDS technology within the medical community. This growing awareness and positive user perception will likely translate into a higher adoption rate of CDS in the coming years.
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Key Challenges:

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  • Interoperability Hurdles: Integrating CDS seamlessly with existing hospital IT infrastructure can be a complex challenge. Different healthcare institutions often utilize diverse EHR systems and software programs. Ensuring smooth data exchange between these disparate systems is crucial for CDS to function effectively. Lack of interoperability can lead to data silos, hindering the ability of CDS to access complete patient information and deliver accurate recommendations.
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  • Data Quality Concerns: The effectiveness of CDS hinges on the quality of data it utilizes. Inconsistent, incomplete, or inaccurate patient data within EHRs can lead to misleading or erroneous suggestions from CDS. Investing in robust data governance practices and ensuring data accuracy across healthcare systems is essential for maximizing the benefits of CDS.
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  • Alert Fatigue and Usability Issues: Clinicians bombarded with an overwhelming number of alerts and notifications from various CDS systems can experience alert fatigue. This can lead to them disregarding crucial alerts, diminishing the overall effectiveness of CDS. Additionally, poorly designed user interfaces within CDS systems can hinder workflow efficiency and discourage clinician adoption. Addressing these usability issues and ensuring a balance between necessary alerts and information overload is critical for successful CDS implementation.
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  • Reimbursement and Cost Considerations: The upfront costs associated with acquiring, implementing, and maintaining CDS technology can be a barrier for some healthcare institutions. Additionally, reimbursement models may not adequately cover the value proposition of CDS, making it difficult for providers to justify the investment. Addressing these financial hurdles through innovative pricing models and exploring alternative funding sources like government grants can incentivize wider CDS adoption.
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  • Ethical and Legal Concerns: The use of AI-powered CDS introduces a new layer of ethical and legal considerations. Issues like potential bias in algorithms, data privacy concerns, and accountability in case of errors require careful consideration. Establishing clear ethical guidelines and robust regulatory frameworks around AI-powered CDS is essential for building trust within the healthcare community and fostering responsible development and deployment of these technologies.
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Key Trends:

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  • Integration with Artificial Intelligence (AI) and Machine Learning (ML): The future of CDS lies in its convergence with AI and machine learning. These technologies empower CDS to analyze vast amounts of patient data, identify complex patterns, and generate more nuanced and personalized recommendations. AI-powered CDS can predict potential health risks, suggest preventive interventions, and even recommend optimal treatment plans tailored to individual patients. This deeper level of clinical insight will revolutionize how healthcare professionals approach decision-making.
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  • Focus on Interoperability and Data Exchange: As the healthcare landscape becomes increasingly interconnected, ensuring seamless data exchange between different healthcare information systems is paramount. The trend is moving towards open-source standards and interoperable platforms that allow CDS to integrate smoothly with existing EHRs and other healthcare IT infrastructure. This will not only improve data accuracy but also enable CDS to leverage information from various sources, leading to more comprehensive patient insights.
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  • Cloud-based and Mobile Solutions Gaining Traction: Cloud-based CDS solutions offer several advantages, including scalability, affordability, and remote accessibility. This trend is expected to continue, making CDS more accessible to smaller healthcare institutions and facilitating wider adoption. Additionally, the rise of mobile health technologies is paving the way for mobile-friendly CDS applications. These mobile apps empower clinicians to access patient data and receive real-time CDS prompts at the point of care, enhancing clinical decision-making at the bedside.
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  • Emphasis on Value-Based Care and Cost Optimization: With the growing emphasis on value-based care, CDS is increasingly seen as a tool to optimize healthcare resource allocation and improve clinical outcomes. CDS can help reduce hospital readmission rates, identify potential complications early on, and promote evidence-based practices. These factors contribute to delivering high-value care and ultimately lead to cost savings for healthcare providers and payers alike.
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  • Personalization and Patient Engagement: The trend is moving towards CDS that incorporates not just clinical data but also patient preferences and social determinants of health. This allows for a more holistic approach to care, tailoring recommendations to individual patient needs and circumstances. Additionally, CDS can be used to generate patient-facing educational materials and empower patients to actively participate in their own healthcare decisions.
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Global Clinical Decision Support Market Regional Analysis

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Here is a more detailed regional analysis of the global Clinical Decision Support Market:

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North America:

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  • North America is predicted to dominate the global CDS market.
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  • The region has a long history of embracing healthcare IT solutions, including CDS. This early adoption has fostered a mature market with a well-established infrastructure and a high concentration of leading CDS vendors.
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  • North America boasts a robust healthcare infrastructure with well-funded hospitals and healthcare institutions. This financial strength allows for investments in advanced CDS technology.
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  • Healthcare providers in North America are constantly striving to improve patient care quality while optimizing costs. CDS aligns perfectly with these goals, making it a highly attractive proposition.
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  • While North America remains the leader, its growth is expected to be steady, mirroring the overall market growth rate. The region’s mature market and high penetration of CDS technology might limit the potential for explosive growth.
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Europe:

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  • Europe enforces stringent regulations regarding data privacy and security. This focus on data protection fosters a market environment where trust is paramount. As a result, European CDS vendors are known for their robust data security features, which resonate well with healthcare institutions worldwide.
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  • Several European governments are actively promoting the adoption of HIT solutions, including CDS. These initiatives often involve financial incentives and infrastructure development programs, stimulating market growth.
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  • Europe’s aging population creates a growing demand for chronic disease management solutions. CDS can play a crucial role in this area, making it an attractive technology for European healthcare providers.
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  • The European CDS market is anticipated to experience significant growth in the coming years. This growth will be fueled by factors like government support, increasing awareness of CDS benefits, and a growing emphasis on value-based care.
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Asia Pacific:

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  • The Asia Pacific region represents the fastest-growing market for CDS.
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  • Similar to Europe, several Asian governments are prioritizing healthcare IT development and promoting CDS adoption. This government support is a major growth catalyst.
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  • As economies in the Asia Pacific region develop, healthcare expenditure is on the rise. This increased investment fosters the adoption of advanced healthcare technologies like CDS.
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  • The Asia Pacific region is home to a vast and often underserved population. CDS can play a significant role in improving access to quality healthcare and optimizing resource allocation in these settings.
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  • In some parts of the region, healthcare infrastructure is underdeveloped, which can hinder widespread CDS adoption.
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  • Regulations governing healthcare IT solutions can vary significantly across different Asian countries. This lack of uniformity can create hurdles for market expansion.
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Global Clinical Decision Support Market Segmentation Analysis

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The Global Clinical Decision Support Market is segmented on the basis of Component, Product, Delivery Mode, Application, Type, User Interactivity, Model, and Geography.

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Clinical Decision Support Market Segmentation AnalysisClinical Decision Support Market Segmentation Analysis

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Clinical Decision Support Market, By Component

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  • Hardware
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  • Software
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  • Services
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Based on the Component, the market is bifurcated into hardware, software, and services. According to analysts, software is projected to hold the dominant market share. This dominance stems from its versatility and core functionality within CDS systems. The software includes decision-making algorithms, user interfaces, and integration tools that link CDS to electronic health records. Hardware, on the other hand, represents the actual infrastructure required to operate the program; while important, it plays a secondary function. The third component, services, is gaining traction as the complexity of building and maintaining CDS systems increases. However, their growth rate is expected to be slower than that of software because the core value is in the decision-making capabilities built within the program. In summary, software serves as the CDS system’s brain, while hardware supplies the body and services serve as the supporting cast, making software the most valuable and irreplaceable component.

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Clinical Decision Support Market, By Product

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  • Integrated
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  • Standalone
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Based on the Product, the market is bifurcated into Integrated and Standalone. According to analysis, integrated CDS is expected to hold the major market share in the 2024-2031 forecast period. This dominance is driven by the comprehensive functionality offered by integrated CDS. Integrated systems connect smoothly to electronic health records, allowing them to use a wealth of patient data to make more precise and tailored recommendations. Standalone CDS, despite providing a more concentrated approach, frequently operates in isolation and lacks access to entire patient data required for optimal decision-making. Furthermore, the increasing deployment of EHRs provides fertile ground for integrated CDS, as smooth data flow between these systems maximizes CDS effectiveness. In simpler terms, integrated CDS functions as a well-informed consultant having access to the patient’s whole medical history, whereas solo CDS may be considered as a specialist with limited awareness of the big picture. These improved capabilities make integrated CDS the preferable alternative for healthcare practitioners looking for a more comprehensive approach to clinical decision-making.

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Clinical Decision Support Market, By Delivery Mode

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  • Cloud-based
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  • Web-based
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  • On-premises
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Based on Delivery Mode, the market is bifurcated into Cloud-based, Web-based, and On-premises. According to analysis, Cloud-based is going to dominate the market. Cloud-based CDS offers scalability and remote accessibility, allowing healthcare institutions of all sizes to leverage the technology without significant upfront investment in hardware infrastructure. Furthermore, cloud providers manage system maintenance and updates, freeing up critical IT resources in healthcare organizations. While on-premises solutions provide a sense of data security and control, concerns about upfront costs and ongoing maintenance are diminishing with strong cloud security features. Web-based CDS, which falls somewhere between cloud and on-premises choices, provides some accessibility but may have limited scalability and customization when compared to cloud-based solutions. As a result, cloud-based CDS emerges as the most adaptable and cost-effective solution, making it the ideal choice for a future-oriented healthcare landscape. Consider cloud-based CDS to be a readily available and adaptive consultant, whereas on-premises is a highly skilled but expensive in-house specialist, and web-based serves as a consultant with limited availability. Cloud’s scalability and affordability make it a more attractive option for the ever-evolving needs of healthcare providers.

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Clinical Decision Support Market, By Application

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  • Conventional
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  • Advanced
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Based on Application, the market is bifurcated into Conventional and Advanced. According to analysis, Conventional is going to hold the major market share. This is primarily due to the established nature and wider applicability of conventional CDS. Conventional systems focus on well-defined rules and guidelines, offering functionalities like drug interaction checks and order set generation. Their familiarity and ease of use make them a dependable option for a wider range of healthcare providers. However, modern CDS powered by artificial intelligence and machine learning opens up new opportunities for more complex decision-making and tailored medication. While its growth is expected to accelerate, the increasing costs and complexity of establishing and maintaining advanced CDS may hinder widespread adoption in the future. Conventional CDS is a trustworthy workhorse that can be used in a variety of clinical circumstances, but advanced CDS is a powerful racehorse that has the potential to change healthcare in the future. The dominance of conventional CDS is likely to continue due to its proven value proposition, but advanced CDS has the potential to disrupt the market as its capabilities become more generally known and accessible.

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Clinical Decision Support Market, By Type

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  • Therapeutic
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  • Diagnostic
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Based on Type, the market is bifurcated into Therapeutic and Diagnostic. According to analysis, Therapeutic CDS is going to hold the major market share during the forecast period. Therapeutic CDS is dominant due to its extensive applicability in medication management and a demonstrated track record of increasing medication safety. Diagnostic CDS powered by AI is a rising star with enormous promise, but its applications and cost-effectiveness are still in development. In essence, Therapeutic CDS is a well-established physician’s assistant, whereas Diagnostic CDS is a newer specialized with great promise. While therapeutic CDS is likely to continue its leading position due to its broad applicability and track record, diagnostic CDS has the potential to gain traction as its capabilities and cost-effectiveness improve.

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Clinical Decision Support Market, By User Interactivity

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  • Active
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  • Passive
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Based on User interactivity, the market is bifurcated into Active and Passive. According to analysis, Active CDS is going to dominate the market in the forecast period. This supremacy arises from the real-time guidance and prompting capabilities provided by active systems. Active CDS functions as an engaged assistant, alerting clinicians of key activities or potential concerns at the point of care, when they are most required. Passive CDS, on the other hand, provides background information and alerts that may be disregarded in hectic clinical situations. Consider an active CDS to be a persistent ye