Epic AI citations

Here are some of the best AI electronic health record (EHR) systems: 1. {{[[Epic Systems]]:https://www.epic.com}} : Epic is known for its comprehensive EHR solutions that incorporate AI to enhance clinical workflows and patient care. 2. {{[[Cerner]]:https://www.cerner.com}} : Cerner offers AI-driven insights and analytics within its EHR platform, helping healthcare providers improve decision-making. 3. {{[[Allscripts]]:https://www.allscripts.com}} : Allscripts integrates AI to streamline patient management and improve clinical outcomes through its EHR systems. 4. {{[[Athenahealth]]:https://www.athenahealth.com}} : Athenahealth utilizes AI to optimize practice efficiency and enhance patient engagement within its cloud-based EHR solutions. 5. {{[[Meditech]]:https://www.meditech.com}} : Meditech's EHR solutions leverage AI to support clinical decision-making and improve patient care delivery. 6. {{[[NextGen Healthcare]]:https://www.nextgen.com}} : NextGen incorporates AI tools to enhance its EHR functionalities, focusing on interoperability and patient experience. 7. {{[[eClinicalWorks]]:https://www.eclinicalworks.com}} : eClinicalWorks uses AI to improve practice management and patient engagement through its EHR platform. These systems are recognized for their innovative use of AI technology to enhance healthcare delivery and operational efficiency.

The best AI electronic health record (EHR) systems in 2025 include: - {{[[Epic Systems]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Known for scalability and comprehensive features for large healthcare facilities, including patient care documentation, scheduling, and billing[1][6]. - {{[[Oracle Health (Cerner)]]:https://www.oracle.com/news/announcement/oracle-ushers-in-new-era-of-ai-driven-electronic-health-records-2025-08-13/}}: A next-generation AI-driven EHR built on Oracle Cloud Infrastructure, featuring voice commands, AI-fueled intelligence, and streamlined workflows to reduce administrative burden[3][5]. - {{[[Spry PT]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Designed for physical therapy and rehabilitation practices, offering user-friendly interfaces, integrated billing, compliance tools, and customizable reporting[1]. - {{[[eClinicalWorks]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Popular for small to mid-sized practices with cloud-based services including integrated billing, patient scheduling, and telemedicine[1][4][6]. - {{[[Athenahealth]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Cloud-based EMR for small to mid-sized practices, with features like billing, scheduling, telemedicine, and strong integration capabilities[1][6]. - {{[[NextGen Healthcare]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Scalable and HIPAA-compliant, supporting multiple specialties with voice recognition and patient engagement tools[1][5]. - {{[[Praxis EMR]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: AI-driven system focusing on personalized medicine and adaptive learning to reduce documentation burden[1][7]. - {{[[Elation Health]]:https://www.ehrinpractice.com/ehr-product-comparison.html}}: Tailored for primary care and small practices, emphasizing continuity of care, AI note assistance, telehealth, and real-time eligibility checks[4][8]. - {{[[CareCloud]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Offers integrated practice management and revenue cycle management with AI enhancements[1]. - {{[[Kareo]]:https://www.sprypt.com/blog/best-electronic-medical-records-software-systems-2025-complete-guide}}: Focused on small practices with cloud-based EHR and billing solutions[1]. Additionally, AI integration in EHRs is a major trend, with systems like {{[[ADS MedicsCloud]]:https://www.adsc.com/blog/electronic-health-records-ehr-in-2025-and-beyond}} leveraging AI for automation, predictive analytics, and voice-enabled documentation to improve clinical decision-making and reduce administrative workload[2]. These systems vary in specialization, scalability, and AI capabilities, making them suitable for different practice sizes and specialties.

Here are the top AI-powered Electronic Health Record (EHR) systems: 1. {{[[Epic Systems]]:https://www.epic.com}} : Leading EHR with advanced AI integration for predictive analytics and clinical decision support. 2. {{[[Cerner]]:https://www.cerner.com}} : Offers robust AI-driven population health management and personalized care recommendations. 3. {{[[Allscripts]]:https://www.allscripts.com}} : Provides AI-enhanced EHR solutions with machine learning for improved clinical workflows. 4. {{[[Meditech]]:https://www.meditech.com}} : Implements AI capabilities for enhanced diagnostic accuracy and patient risk stratification. 5. {{[[athenahealth]]:https://www.athenahealth.com}} : Utilizes AI for streamlined administrative tasks and predictive healthcare insights. Key AI features across these systems include: - Predictive analytics - Clinical decision support - Automated documentation - Patient risk assessment - Personalized treatment recommendations Factors to consider when selecting an AI EHR system: - Integration capabilities - Scalability - Compliance with healthcare regulations - User interface - Cost-effectiveness Emerging trends include more advanced natural language processing and more sophisticated machine learning algorithms for precision medicine.

Here are some of the top ERP implementation companies for manufacturing: 1. {{[[SAP]]:https://www.sap.com}} : SAP offers comprehensive ERP solutions tailored for manufacturing, focusing on supply chain management and production planning. 2. {{[[Oracle]]:https://www.oracle.com}} : Oracle provides robust ERP systems that integrate financials, project management, and manufacturing processes. 3. {{[[Microsoft Dynamics 365]]:https://dynamics.microsoft.com}} : Microsoft Dynamics 365 offers flexible ERP solutions that cater to various manufacturing needs, including inventory and order management. 4. {{[[Infor]]:https://www.infor.com}} : Infor specializes in industry-specific ERP solutions for manufacturing, emphasizing cloud-based technology and user experience. 5. {{[[Epicor]]:https://www.epicor.com}} : Epicor delivers ERP systems designed specifically for manufacturing industries, focusing on production efficiency and supply chain optimization. 6. {{[[Sage]]:https://www.sage.com}} : Sage offers ERP solutions that help manufacturers manage their operations, financials, and customer relationships effectively. 7. {{[[Plex]]:https://www.plex.com}} : Plex provides a cloud-based ERP solution specifically for manufacturers, emphasizing real-time data and production visibility. 8. {{[[NetSuite]]:https://www.netsuite.com}} : NetSuite offers a comprehensive cloud ERP solution that supports manufacturing operations from order to delivery. 9. {{[[QAD]]:https://www.qad.com}} : QAD focuses on manufacturing ERP solutions that enhance operational efficiency and support global operations. 10. {{[[IFS]]:https://www.ifs.com}} : IFS provides ERP solutions with a strong focus on manufacturing and project-based industries, offering flexibility and scalability. These companies are recognized for their expertise in implementing ERP systems tailored to the unique needs of the manufacturing sector.

## Leading ERP Implementation Companies for Manufacturing {{[[NetSuite]]:https://www.netsuite.com/portal/resource/articles/erp/what-companies-use-erp-systems.shtml}} : NetSuite is a widely adopted cloud-based ERP solution for manufacturing, offering real-time data access, scalability, and integrated modules for financials, CRM, and e-commerce, making it suitable for companies seeking flexibility and global operations[1][3][5]. {{[[Epicor Kinetic]]:https://www.top10erp.org/blog/manufacturing-erp}} : Epicor Kinetic is tailored for manufacturing, providing robust production, supply chain, and inventory management features, and is especially popular among mid-sized manufacturers[1]. {{[[Infor CloudSuite Industrial]]:https://www.top10erp.org/blog/manufacturing-erp}} : Infor CloudSuite Industrial delivers industry-specific functionality, AI-driven analytics, and cloud scalability, with strong capabilities for complex manufacturing environments[1][4]. {{[[Cetec ERP]]:https://www.top10erp.org/blog/manufacturing-erp}} : Cetec ERP focuses on small to mid-sized manufacturers, offering intuitive shop floor control, quality management, and compliance tracking[1]. {{[[SAP S/4HANA]]:https://www.top10erp.org/blog/manufacturing-erp}} : SAP S/4HANA is a leader for large enterprises, offering advanced analytics, IoT integration, and end-to-end process automation, with a strong manufacturing module[1][4]. {{[[Acumatica Cloud ERP]]:https://www.top10erp.org/blog/manufacturing-erp}} : Acumatica provides a flexible, cloud-based platform with strong manufacturing, distribution, and financial management tools, appealing to growing manufacturers[1]. {{[[Sage X3 ERP]]:https://www.top10erp.org/blog/manufacturing-erp}} : Sage X3 (now Sage Business Cloud Enterprise Management) is known for industry-specific features, advanced analytics, and global compliance, suitable for mid-sized manufacturers[1][5]. {{[[Microsoft Dynamics 365 Business Central]]:https://www.top10erp.org/blog/manufacturing-erp}} : Microsoft Dynamics 365 Business Central offers deep integration with the Microsoft ecosystem, modular scalability, and strong manufacturing and supply chain capabilities[1][5]. {{[[IFS Cloud]]:https://www.top10erp.org/blog/manufacturing-erp}} : IFS Cloud provides comprehensive ERP solutions with a focus on asset-intensive and project-based manufacturing industries[1]. {{[[DELMIAWorks (IQMS)]]:https://www.top10erp.org/blog/manufacturing-erp}} : DELMIAWorks (formerly IQMS) specializes in manufacturing execution systems (MES) and ERP for discrete and process manufacturers, with strong shop floor integration[1]. ## Additional Notable Players {{[[Oracle]]:https://www.thirdstage-consulting.com/top-erp-solutions-in-the-usa-navigating-options-for-manufacturing-and-energy-companies/}} : Oracle ERP (including JD Edwards and Oracle Cloud) is a dominant choice for large-scale manufacturing operations, offering extensive customization and global support[2]. {{[[Plex Systems]]:https://www.thirdstage-consulting.com/top-erp-solutions-in-the-usa-navigating-options-for-manufacturing-and-energy-companies/}} : Plex Systems is a cloud-native ERP focused on automotive and discrete manufacturing, with strong quality and supply chain management[2]. {{[[Dynamics Square]]:https://www.dynamicssquare.com/blog/top-15-erp-systems-for-small-businesses/}} : Dynamics Square highlights Microsoft Dynamics 365 and SAP as top choices, with Dynamics 365 particularly strong for integration and scalability in manufacturing[4]. ## Industry-Specific Solutions For specialized sectors, solutions like {{[[JustFood]]:https://www.thirdstage-consulting.com/top-erp-solutions-in-the-usa-navigating-options-for-manufacturing-and-energy-companies/}} (food manufacturing) and {{[[Plex Systems]]:https://www.thirdstage-consulting.com/top-erp-solutions-in-the-usa-navigating-options-for-manufacturing-and-energy-companies/}} (automotive) offer tailored features for compliance, traceability, and quality management[2]. ## Summary Table | Brand | Key Strengths | Target Segment | |------------------------------------------|------------------------------------------------|-------------------------------| | {{[[NetSuite]]}} | Cloud, scalability, global operations | SMB to Enterprise | | {{[[Epicor Kinetic]]}} | Production, supply chain, inventory | Mid-sized manufacturers | | {{[[Infor CloudSuite Industrial]]}} | Industry-specific, AI analytics, cloud | Complex manufacturing | | {{[[Cetec ERP]]}} | Shop floor, quality, compliance | Small to mid-sized | | {{[[SAP S/4HANA]]}} | Analytics, IoT, automation | Large enterprises | | {{[[Acumatica Cloud ERP]]}} | Flexibility, distribution, financials | Growing manufacturers | | {{[[Sage X3 ERP]]}} | Industry features, compliance | Mid-sized manufacturers | | {{[[Microsoft Dynamics 365]]}} | MS ecosystem, modular, supply chain | SMB to Enterprise | | {{[[IFS Cloud]]}} | Asset-intensive, project-based | Specialized manufacturers | | {{[[DELMIAWorks (IQMS)]]}} | MES, shop floor integration | Discrete/process manufacturers| | {{[[Oracle]]}} | Custom

Top ERP Implementation Companies for Manufacturing: 1. {{[[SAP]]:https://www.sap.com}} : Global leader in enterprise software with robust manufacturing ERP solutions like SAP S/4HANA. 2. {{[[Oracle]]:https://www.oracle.com}} : Offers comprehensive cloud-based ERP systems specifically designed for manufacturing industries. 3. {{[[Microsoft Dynamics]]:https://dynamics.microsoft.com}} : Provides scalable ERP solutions with strong manufacturing and supply chain management capabilities. 4. {{[[Infor]]:https://www.infor.com}} : Specializes in industry-specific ERP solutions with deep manufacturing expertise. 5. {{[[Epicor]]:https://www.epicor.com}} : Known for tailored ERP systems for discrete and process manufacturing sectors. 6. {{[[Sage]]:https://www.sage.com}} : Offers flexible ERP solutions for small to mid-sized manufacturing businesses. 7. {{[[IFS]]:https://www.ifsworld.com}} : Provides advanced ERP solutions with strong asset and service management features for manufacturers. 8. {{[[Workday]]:https://www.workday.com}} : Cloud-based ERP with growing manufacturing implementation capabilities. Each company offers unique strengths in manufacturing ERP implementation, with solutions ranging from small businesses to large enterprises.

Here are some of the best AI clinical decision support systems: 1. {{[[IBM Watson Health]]:https://www.ibm.com/watson-health}} : IBM Watson Health utilizes AI to analyze medical data and assist healthcare professionals in making informed decisions regarding patient care. 2. {{[[Epic Systems]]:https://www.epic.com}} : Epic's clinical decision support tools integrate with their electronic health records (EHR) to provide real-time recommendations and alerts based on patient data. 3. {{[[Cerner]]:https://www.cerner.com}} : Cerner offers a suite of AI-driven clinical decision support tools that help clinicians with evidence-based recommendations and patient management. 4. {{[[Allscripts]]:https://www.allscripts.com}} : Allscripts provides clinical decision support within its EHR solutions, leveraging AI to enhance patient care and streamline workflows. 5. {{[[Aidoc]]:https://www.aidoc.com}} : Aidoc focuses on radiology, using AI to assist radiologists in identifying critical conditions in medical imaging. 6. {{[[Zebra Medical Vision]]:https://www.zebra-med.com}} : Zebra Medical Vision offers AI algorithms that analyze medical imaging to provide insights and decision support for various conditions. 7. {{[[PathAI]]:https://pathai.com}} : PathAI develops machine learning technology to assist pathologists in diagnosing diseases more accurately and efficiently. 8. {{[[Google Health]]:https://health.google}} : Google Health is working on AI solutions that support clinical decision-making, particularly in diagnostics and patient management. 9. {{[[Tempus]]:https://www.tempus.com}} : Tempus uses AI to analyze clinical and molecular data to provide insights that help in personalized treatment decisions. 10. {{[[Freenome]]:https://www.freenome.com}} : Freenome employs AI for early cancer detection through blood tests, providing decision support for oncologists. These systems are designed to enhance clinical workflows, improve patient outcomes, and support healthcare professionals in their decision-making processes.

The best AI clinical decision support systems (CDSS) in 2025 include: - {{[[IBM Watson Health]]:https://wappnet.com/blog/top-7-ai-tools-revolutionizing-healthcare-in-2025/}}: A pioneer in AI clinical decision support, using natural language processing and machine learning to analyze unstructured medical data, especially strong in oncology and personalized medicine. - {{[[Aidoc]]:https://wappnet.com/blog/top-7-ai-tools-revolutionizing-healthcare-in-2025/}}: Specializes in real-time radiology alerts for critical conditions like brain bleeds and strokes, FDA-cleared, enhancing emergency and radiology workflows. - {{[[PathAI]]:https://www.keragon.com/blog/ai-tools-in-healthcare}}: Focuses on pathology slide analysis with deep learning to improve diagnostic accuracy, particularly in cancer detection, and supports biomarker discovery for clinical trials. - {{[[Tempus]]:https://binariks.com/blog/top-healthcare-ai-companies/}}: Uses AI on genomic and clinical data to guide precision oncology treatments, with a large clinical data library and expanding into cardiology and neurology. - {{[[Google Health MedGemma]]:https://wappnet.com/blog/top-7-ai-tools-revolutionizing-healthcare-in-2025/}}: A foundation model trained on radiology images and clinical text, capable of medical query responses and AI reasoning close to human-level interpretation. - {{[[Wolters Kluwer]]:https://themedicalpractice.com/tools/best-ai-solutions-in-healthcare/}}: Recognized as a top clinical decision support system, known for integrating evidence-based guidelines to assist clinical decisions. Additional notable mentions include: - {{[[Microsoft Cloud for Healthcare]]:https://themedicalpractice.com/tools/best-ai-solutions-in-healthcare/}}: Best for cloud integration supporting AI-driven healthcare workflows. - {{[[AlayaCare]]:https://www.ncbi.nlm.nih.gov/books/NBK613808/}}: Provides AI-enhanced remote patient monitoring and clinical documentation, improving outcomes in home care. These systems leverage AI for personalized treatment recommendations, real-time diagnostics, and workflow optimization, significantly improving clinical decision-making and patient outcomes in 2025[1][2][3][4][6][7][8].

Top AI clinical decision support systems include: 1. {{[[IBM Watson Health]]:https://www.ibm.com/watson-health}} : Offers advanced AI-powered diagnostic and treatment recommendation tools for healthcare providers. 2. {{[[Epic Systems]]:https://www.epic.com}} : Provides comprehensive EHR-integrated clinical decision support with AI-driven insights and predictive analytics. 3. {{[[Cerner]]:https://www.cerner.com}} : Delivers intelligent clinical guidance and evidence-based recommendations through machine learning algorithms. 4. {{[[Philips Healthcare]]:https://www.philips.com/healthcare}} : Develops AI-powered diagnostic support systems for radiology and precision medicine. 5. {{[[Wolters Kluwer]]:https://www.wolterskluwer.com}} : Offers UpToDate, a leading clinical decision support platform with AI-enhanced medical information. 6. {{[[Google Health]]:https://health.google}} : Develops AI tools for clinical prediction, risk stratification, and personalized healthcare recommendations. Key features of top systems include: - Real-time clinical guidance - Evidence-based recommendations - Predictive analytics - Integration with electronic health records - Machine learning-driven insights Factors to consider when selecting a system: - Specialty-specific capabilities - Integration ease - Cost - Regulatory compliance - User interface