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Los Angeles, United States
51-100 Employees
1996
We develop evidence-based solutions to guide practitioners in making informed care decisions shown to positively impact patient outcomes. We are widely recognized as the market leader in evidence-based clinical decision support and have worked with over 1,500 hospitals across the United States. Access crucial, evidence-based guidance right at the point of care with industry-leading solutions proven to not just improve, but transform lives for the better. Zynx in-house experts analyze, identify, and distill clinical research and best practices to ensure your organization has the most current, practice-changing evidence-based content to positively impact patient outcomes. Our clinical decision support is unbiased by third-party organizations and is built upon a proven methodology that has positioned Zynx as the industry leader in evidence-based care guidance for a quarter century. Zynx Health offers award-winning, easy-to-use solutions to support quality care delivery and management. Determined to improve the quality of healthcare delivery while prioritizing the physician experience, Cornwall Community Hospital of Ontario transitioned away from using Word-based order sets managed over a network drive to an EHR platform. In 1996, Zynx Health began with a mission to help practitioners deliver better care by following evidence-based practices.
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Featured
Robust Clinical Decision Support Solutions for Better Outcomes
... Our patented clinical decision support solutions feature evidence-based order sets and care plans, gap analysis software, and more. Explore our robust solutions for better patient outcomes today. ...
London, United Kingdom
11-50 Employees
2000
Evidently is a Cognitive AI platform that automates low-level cognitive tasks involving clinical data and knowledge - tasks that underlie patient care, revenue cycle, clinical research, and population health. Get Evidently, an EHR-embedded app that automatically extracts and summarizes patient data and clinical knowledge into problem-oriented views (POVs). Get Evidently, an EHR-embedded app that automatically summarizes a patient's disorders and clinical evidence for each disorder. Get Evidently - use Cognitive AI to structure both criteria texts and clinical notes. Get Evidently – omnivorous analytics for care gap identification, risk stratification, and cost reduction; actionable summaries integrated into clinical workflows. Evidently solutions are built on top of a unique Cognitive AI platform consisting of:. Evidently aims to work with many EHR systems. Built on 12 years of advanced research on Machine Reading and Knowledge Graph, Evidently empowers these endeavors to be dramatically more efficient and effective.
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Featured
Clinical Decision Support
... Clinical Decision Support ...
Trondheim, Norway
1-10 Employees
2009
VIVIT AS is health informatics company which specializes in clinical text processing, clinical decision support, consulting and development services for the health sector.
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Featured
Clinical Decision Support
... Clinical Decision Support ...
Los Angeles, United States
1-10 Employees
2013
We provide quantitative brain measurements through our software. We are revolutionizing neuroimaging diagnostics using deep learning on 3D brain structures. Wenchao is the head of software of Voxel Healthcare LLC, and a Research Fellow at Mayo Clinic.
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Featured
Clinical Decision Support Software
... Clinical Decision Support ...
Houston, United States
11-50 Employees
2014
BrainCheck brings together neuroscientists, data scientists, technology experts, and more — as well as over 20 years of scientific research — to help providers deliver high-quality, personalized cognitive care to patients everywhere. BrainCheck Featured in McKnight’s Senior Living Read the article at. Braincheck is trusted by health and wellness providers around the world to assess patients’ cognitive health. Watch this short video which explains how BrainCheck is being used by clinicians in private practice as well as in large enterprise health systems. Detailed reporting across cognitive domains helps providers choose appropriate next steps and referral pathways. Leading geriatric psychiatrist joins Company following recent launch of next-generation. Clinicians and patients report high levels of satisfaction with BrainCheck’s.
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Featured
Clinical Decision Support
... To deliver useful clinical decision support, BrainCheck's algorithms offer insight into each cognitive domain and overall cognitive function. ...
Exeter, United Kingdom
51-100 Employees
1985
Since then, we’ve become the leading provider of clinical and descriptive drug knowledge that’s integrated into healthcare information systems around the world. Our knowledge has been tried, tested and trusted by thousands of doctors, pharmacists, nurses, consumers and other decision-makers from every part of the healthcare system. Which is why we continue to create comprehensive, configurable, and innovative knowledge solutions to meet current and emerging needs. You see, we have a vision of a healthier world and a mission based on one singular conviction:. Have a question about the solutions we offer?
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Drug Database & Clinical Decision Support Software | Multilex | FDB (First Databank)
... FDB Multilex is the UK's market-leading drug database and clinical decision support solution which helps reduce medication errors. ...
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Featured
openEHR Clinical Decision Support (ENG)
... you with the concept of clinical decision support (CDS) and teaches you how to build clinical decision support applications in openEHR environment. You will learn how to do clinical modeling and how to create CDS applications with the help of low code tools. You also get a ...
Cambridge, United Kingdom
11-50 Employees
2009
We are unique in providing one integrated package where we are a systems integrator, implementer, developer, support and maintenance provider – owning all accountability for a better client and patient experience. We are passionate about making a difference in health. With over 30 years of delivery experience, spanning more than 400 healthcare organisations, and recording in excess of 100 million successful patient interactions globally to date, Capita Healthcare Decisions empowers healthcare providers in delivering high quality patient outcomes in a sustainable and long term manner. Our unrivalled expertise, trusted technology, and industry-leading partnerships have led us to creating best-in-class solutions for Decision Support offerings. We do this by designing and delivering proven, market leading products and services that address the biggest challenges facing healthcare systems today. Our team of clinicians, technologists, quality improvement professionals and health data experts has a record of delivering innovative, successful and large-scale solutions around the world. With experience gained from the NHS, independent healthcare providers and the wider private sector, we help you achieve what you never thought possible. Our decision support technology, and our Patient Relationship Management platform built upon Microsoft Dynamics is proven to reduce demand on emergency services by directing patients to the right service at the right time.
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Featured
Clinical Decision Support
... Clinical Decision Support - Capita Healthcare ...
Folsom, United States
11-50 Employees
2019
Opeeka is a company committed to boosting the health of people from all walks of life. Whether for individuals who require periodic reminders of thankfulness or for those who battle with despair, addiction, homelessness, safety, and physical problems, Opeeka is devoted to enhancing the well-being of others. Person-Centered Intelligence Solution (P-CIS), the company’s principal technology, is a patient outcomes platform that connects to care organizations’ existing technology to extend its capability to support value-based care. Payers, states, counties, and care providers use P-CIS to unify the continuum of care, reduce burden on staff, and improve patient outcomes. There is no other technology on the market like P-CIS.
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Featured
Rules-Based and AI-Driven Clinical Decision Support
... Rules-Based and AI-Driven Clinical Decision Support - Healthcare Quality Measurement Tools | Patient Outcome Measures | Outcomes Management ...
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Some interesting numbers and facts about the results you have just received for Clinical Decision Support
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 151 |
| Amount of suitable service providers | 81 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1985 |
| Youngest suiting company | 2021 |
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Clinical Decision Support (CDS) is an advanced technology framework designed to enhance healthcare delivery by aiding medical professionals in making informed, data-driven decisions. It leverages patient data along with a vast repository of medical knowledge to provide timely information and recommendations tailored to the specific clinical scenario. This support ranges from diagnostic assistance, treatment options, patient care alerts, to drug interaction checks, all aimed at improving patient outcomes and healthcare efficiency. The role of CDS is pivotal in modern healthcare settings as it directly impacts patient safety by reducing medical errors and ensuring that the most current, evidence-based practices are applied. Its implementation has been shown to significantly enhance the quality of care, streamline clinical workflows, and optimize resource utilization by ensuring that the right information is available at the right time to the right healthcare provider. Consequently, CDS systems have become integral components of health information technology infrastructures, supporting a broad spectrum of clinical tasks and decision-making processes. By providing a sophisticated layer of analysis and recommendations, these systems empower healthcare professionals to make more accurate, efficient, and effective clinical decisions, marking a significant stride towards the realization of personalized medicine and improved healthcare delivery.
1. Enhanced Patient Safety
Clinical Decision Support (CDS) systems significantly reduce the risk of human error in patient care. By providing real-time access to patient data and evidence-based guidelines, these systems help healthcare professionals make safer, more informed decisions.
2. Improved Quality of Care
CDS tools offer tailored recommendations based on the latest clinical guidelines and patient-specific information. This customization ensures that patients receive the most appropriate treatments, leading to better health outcomes.
3. Increased Efficiency
By automating routine tasks and streamlining the decision-making process, CDS systems save valuable time for healthcare providers. This efficiency allows them to focus more on patient interaction and care, rather than on manual data analysis.
4. Cost Reduction
Implementing CDS can lead to significant cost savings for healthcare institutions. By optimizing the treatment process and reducing the need for unnecessary tests or procedures, these systems help in minimizing healthcare expenditures.
5. Support for Continuous Learning and Improvement
CDS systems are designed to evolve by incorporating new medical knowledge and learning from past decisions. This adaptability ensures that healthcare practices are always aligned with the most current research, fostering continuous improvement in patient care.
While evaluating the different suppliers make sure to check the following criteria:
1. Integration Capability
Ensure the supplier's system can seamlessly integrate with existing electronic health records (EHR) and healthcare IT infrastructure, supporting smooth data exchange and workflow.
2. Compliance and Certification
Verify that the supplier meets all relevant regulatory requirements, including HIPAA for patient data privacy and any certifications that endorse the system's clinical effectiveness.
3. Customization and Scalability
The system should be customizable to fit the specific needs of your healthcare setting and scalable to accommodate growth or changes in clinical demands.
4. User Interface and Usability
Evaluate the user interface for intuitiveness and ease of use to ensure rapid adoption by clinical staff, minimizing disruption and training requirements.
5. Clinical Content and Decision Support Logic
Check the quality and comprehensiveness of the clinical content, including the evidence base and decision support logic, to ensure it aligns with current best practices and guidelines.
6. Support and Maintenance
Confirm the availability of timely, reliable support and maintenance services to address any issues and ensure the system remains operational and up-to-date.
Clinical Decision Support (CDS) systems play a pivotal role in enhancing healthcare delivery by providing physicians and healthcare providers with patient-specific assessments or recommendations. These insights are crucial in making informed clinical decisions. In the pharmaceutical industry, CDS tools aid in drug development and safety monitoring by offering insights into drug interactions, adverse effects, and patient drug response predictions. This information is vital for pharmaceutical companies to ensure the efficacy and safety of their products. In the healthcare insurance sector, CDS systems assist in streamlining the claims review process. By integrating patient data and clinical guidelines, these tools can automatically verify the necessity of proposed treatments, thus optimizing the claims management workflow and reducing unnecessary healthcare expenditures. Moreover, CDS finds application in the realm of medical equipment manufacturing. Here, it contributes to the design and development of smarter medical devices that can provide real-time, data-driven recommendations to healthcare providers. This integration enhances the therapeutic value of medical devices and supports personalized medicine approaches. Each of these use cases underscores the versatility of Clinical Decision Support systems across various B2B sectors within the healthcare industry. By leveraging patient data and clinical knowledge, CDS tools significantly contribute to improving clinical outcomes, operational efficiency, and patient care across the board.
Clinical Decision Support (CDS) systems, integral to modern healthcare, have advanced to a high Technology Readiness Level (TRL), predominantly ranging between TRL 7 to TRL 9. This classification is due to their extensive testing and validation within operational healthcare environments, showcasing their reliability, effectiveness, and integration capability with existing Electronic Health Record (EHR) systems. The progression to such a mature stage is underpinned by significant technical advancements in artificial intelligence and machine learning algorithms, which have enhanced the accuracy and relevance of CDS outputs. These technologies enable CDS systems to analyze vast datasets, recognize patterns, and provide evidence-based recommendations to healthcare professionals in real-time, substantially improving patient care outcomes. Furthermore, the successful deployment of CDS systems across numerous healthcare institutions worldwide has been facilitated by improvements in interoperability standards, allowing seamless communication between disparate healthcare information systems. Despite this high TRL, ongoing research and development are focused on addressing challenges related to data privacy, user trust, and the reduction of alert fatigue among healthcare providers, ensuring that CDS systems continue to evolve in alignment with emerging healthcare needs and technological capabilities.
In the Short-Term, clinical decision support (CDS) systems are expected to integrate more deeply with electronic health records (EHRs), enhancing real-time data analysis to provide immediate insights for healthcare providers. This phase sees the adoption of artificial intelligence (AI) to analyze patient data more efficiently, leading to personalized treatment plans. Improved interoperability between different healthcare systems will also facilitate a seamless exchange of patient information, contributing to more accurate and timely decisions. The Mid-Term development focuses on the proliferation of predictive analytics within CDS systems. These advancements will enable healthcare providers to forecast potential health issues before they become critical, shifting the focus from treatment to prevention. Integration with wearable technologies will further empower CDS systems, offering continuous monitoring of patient health metrics outside traditional clinical settings. This period will also witness enhanced user interfaces, making CDS tools more accessible and user-friendly for healthcare professionals, regardless of their technical proficiency. Looking into the Long-Term, CDS systems are poised to revolutionize personalized medicine by harnessing the power of genomics and big data. Advanced algorithms will analyze genetic information alongside lifestyle and environmental factors to recommend highly tailored treatment options. The emergence of blockchain technology is anticipated to secure patient data sharing, ensuring privacy and trust in the system. Additionally, the long-term phase will explore the integration of virtual and augmented reality technologies for training and simulation, preparing healthcare providers for complex procedures with unprecedented precision.
Some interesting questions that has been asked about the results you have just received for Clinical Decision Support
What are related technologies to Clinical Decision Support?
Based on our calculations related technologies to Clinical Decision Support are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)
Who are Start-Ups in the field of Clinical Decision Support?
Start-Ups who are working in Clinical Decision Support are Presaj
Which industries are mostly working on Clinical Decision Support?
The most represented industries which are working in Clinical Decision Support are Health Care, Information Technology, Software, Science and Engineering, Data and Analytics
How does ensun find these Clinical Decision Support Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
