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Health Analytics
Cambridge, United Kingdom
A
11-50 Employees
2009
Key takeaway
Capita Healthcare Decisions specializes in integrated solutions that enhance clinical decision support, empowering healthcare providers to achieve high-quality patient outcomes. Their proven technology and expertise, backed by over 30 years of experience, address critical challenges in healthcare systems, ultimately improving patient care and reducing demand on emergency services.
Reference
Product
Clinical Decision Support - Capita Healthcare Decisions
Synapse Medicine
Bordeaux, France
A
11-50 Employees
2017
Key takeaway
The company emphasizes its commitment to Clinical Decision Support, offering a range of digital health solutions and point-of-care tools designed to enhance patient care and outcomes. Their dedicated customer success team is ready to address both technical and clinical inquiries, ensuring effective support for health tech products.
Reference
Core business
Clinical Decision Support Starts Here
Cedar Gate Technologies
Greenwich, United States
B
11-50 Employees
2014
Key takeaway
Cedar Gate Technologies offers a comprehensive value-based care software platform that includes advanced clinical decision support tools. Their evidence-based decision support features a visual care gap and treatment opportunity dashboard, enhancing the ability of healthcare providers to make informed decisions.
Reference
Product
Clinical Decision Support | Cedar Gate Technologies
Evidence-based decision support that features an award-winning visual care gap and treatment opportunity dashboard with bi-directional EHR integration.
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Cohesic
Calgary, Canada
A
11-50 Employees
2014
Key takeaway
The company focuses on empowering clinicians with actionable data through its Decision Intelligence (DI) products, which enhance health IT systems by providing integrated decision support. Their platform, particularly cardioDI, offers end-to-end workflow solutions specifically designed for cardiovascular imaging, ensuring that physicians can make informed diagnostic and therapeutic decisions.
Reference
Product
cardioDI - Decision Intelligence For Cardiovascular Imaging
Decision intelligence for cardiovascular imaging. cardioDI is an end to end workflow and decision support tool for cardiovascular MRI and CT. CMR-specific indications, protocols, and findings ensures you deliver maximum value from each CMR diagnostic test.
Clinical Architecture
Carmel, United States
B
101-250 Employees
2007
Key takeaway
Clinical Architecture offers innovative solutions for healthcare information technology, including a focus on Clinical Decision Support through their Advanced Clinical Awareness system. This system utilizes rules-based automated reasoning to evaluate patient records, enhancing data quality and interoperability, ultimately transforming clinical data into actionable insights for improved decision-making.
Reference
Product
Clinical Decision Support - Rules-based automated reasoning
Advanced Clinical Awareness evaluates patient records ingested into the engine through industry standard formats to deliver clinical decision support.
FDB UK
Exeter, United Kingdom
A
51-100 Employees
1985
Key takeaway
The company, FDB (First Databank), is a leading provider of clinical decision support solutions that offer healthcare professionals targeted and actionable information, enhancing their ability to make informed decisions in patient care. Their comprehensive and innovative knowledge solutions are integrated into healthcare information systems worldwide, trusted by thousands of stakeholders in the healthcare system.
Reference
Product
Clinical Decision Support Solutions | FDB (First Databank)
FDB's intuitive medicines optimisation and clinical decision support solutions provide healthcare professionals with targeted and actionable information.
MedCurrent
Old Toronto, Canada
A
11-50 Employees
2003
Key takeaway
Clinical Decision Support (CDS) is an initiative aimed at improving clinical decision-making by providing real-time, evidence-based guidance, ultimately enhancing health and healthcare delivery.
Reference
Core business
MedCurrent | About
Seegnal
San Diego, United States
B
11-50 Employees
-
Key takeaway
The company, Seegnal eHealth, offers a revolutionary clinical decision support platform designed to help clinicians effectively address patient-specific Drug Related Problems (DRPs). With 98% accuracy and a focus on real-time, patient-specific data, the platform enhances decision-making while minimizing alert fatigue.
Reference
Core business
Seegnal eHealth - Patientivity, defined
Seegnal platform is a smart, patient-specific & real-time CDSS platform for mitigating risks & managing DRPs (Drug Related Problems).
Cerner
Kansas City, United States
B
10001+ Employees
1979
Key takeaway
Oracle, through its acquisition of Cerner, emphasizes its commitment to transforming healthcare with innovative clinical decision support solutions that enhance patient outcomes by integrating intelligence into clinical workflows, particularly in areas like sepsis surveillance and advanced imaging.
Reference
Product
Clinical decision support | Cerner Ireland
Our Clinical decision support solutions protect patients using intelligence to secure better patient outcomes. Learn more!
Decision Support
United States
B
11-50 Employees
1984
Key takeaway
Decision Support specializes in data management and reporting software that enhances operational performance for various sectors, including healthcare providers. Their customizable dashboards with reports and alerts can significantly aid in clinical decision-making processes.
Reference
Core business
About — Decision Support
Technologies which have been searched by others and may be interesting for you:
Clinical Decision Support (CDS) refers to a variety of tools and systems designed to enhance healthcare delivery by providing clinicians with knowledge and patient-specific information. These systems utilize data from electronic health records (EHRs), clinical guidelines, and other sources to assist healthcare providers in making informed decisions. By leveraging algorithms and evidence-based practices, CDS can offer alerts, reminders, and recommendations that improve patient care, reduce errors, and promote adherence to best practices. It plays a vital role in ensuring that clinicians have timely access to essential information, ultimately leading to better patient outcomes and more efficient healthcare processes.
Clinical Decision Support (CDS) significantly enhances patient care by providing healthcare professionals with evidence-based knowledge and patient-specific information at the point of care. By integrating CDS tools into electronic health records (EHRs), clinicians receive timely alerts and recommendations that assist in diagnosing conditions and determining appropriate treatment options. This real-time guidance helps reduce errors, minimizes unnecessary tests, and promotes adherence to clinical guidelines. Additionally, CDS systems can analyze large volumes of data to identify potential health risks and suggest preventive measures tailored to individual patients. As a result, the overall quality of care improves, leading to better health outcomes and increased patient safety. The use of these systems ultimately fosters a more informed decision-making process, empowering healthcare providers to deliver personalized and effective treatments.
Clinical Decision Support systems are essential tools in modern healthcare, offering various features that enhance clinical workflows.
1. Evidence-Based Guidelines
These systems integrate clinical guidelines and protocols that are based on the latest research, ensuring healthcare providers have access to the most accurate and relevant information for patient care.
2. Patient Data Integration
Clinical Decision Support systems aggregate and analyze data from various sources, such as electronic health records (EHRs), enabling tailored recommendations based on individual patient characteristics and history.
3. Alerts and Reminders
They provide timely alerts and reminders to clinicians regarding potential drug interactions, allergies, or necessary preventive measures, thereby improving patient safety and adherence to best practices.
4. Clinical Workflow Support
These systems are designed to fit seamlessly into existing workflows, allowing healthcare providers to receive support without disrupting their routine processes.
5. User-Friendly Interfaces
A focus on usability ensures that the system is intuitive, allowing healthcare professionals to navigate easily and access necessary information quickly, which is crucial in fast-paced clinical environments.
6. Continuous Learning
Many Clinical Decision Support systems incorporate machine learning algorithms that adapt and improve over time, enhancing their accuracy and relevance as more data becomes available.
Clinical Decision Support (CDS) is crucial for healthcare providers as it enhances patient care by delivering evidence-based knowledge at the point of care. By integrating clinical guidelines and best practices into everyday workflows, CDS minimizes the risk of errors, promotes adherence to protocols, and improves diagnostic accuracy. Furthermore, it supports healthcare professionals in making informed decisions, ultimately leading to improved patient outcomes. The use of CDS tools can streamline processes, reduce unnecessary tests and treatments, and enhance the overall efficiency of healthcare delivery, making them an indispensable asset in modern medical practice.
Clinical Decision Support (CDS) systems are designed to enhance decision-making in healthcare by integrating seamlessly with existing healthcare IT systems. These systems often use electronic health records (EHRs) as their primary platform, allowing for real-time data access and analysis. When patient data is entered into the EHR, the CDS can analyze the information and provide relevant recommendations based on clinical guidelines, patient history, and current medical evidence. Furthermore, interoperability is crucial for successful integration. CDS systems utilize standardized protocols and data formats to communicate with various healthcare IT components, ensuring that clinicians receive timely alerts and suggestions at the point of care. This integration not only streamlines workflows but also improves patient outcomes by facilitating evidence-based decisions in a timely manner.
Some interesting numbers and facts about your company results for Clinical Decision Support
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 6975 |
| Amount of suitable service providers | 7810 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1979 |
| Youngest suiting company | 2017 |
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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)
Which industries are mostly working on Clinical Decision Support?
The most represented industries which are working in Clinical Decision Support are IT, Software and Services, Healthcare, Other, Medical, Consulting
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.
