Clinical viewers and diagnostic viewers are not the same thing. Clinical viewing supports care teams reviewing imaging. Diagnostic viewing supports radiologists making primary interpretations. eUnity does both. FDA-cleared, zero-footprint, enterprise-wide. One viewer. Two purposes. See the full eUnity capability set: https://ow.ly/Kn2o50ZqhGr #Mach7 #eUnity #DiagnosticViewing #Radiology
Mach7 Technologies
Medical Equipment Manufacturing
Burlington, Vermont 22,133 followers
Enterprise imaging built on data independence, openness, and choice.
About us
At Mach7, our purpose is simple: to deliver to healthcare professionals the tools they need to help their patients achieve better health outcomes. Every day, medical practitioners face the challenge of bringing together an immense amount of patient data from multiple disparate sources while also finding a way to make sense of it. They must contend with issues like non-consolidated image storage, labor-intensive and inefficient workflows, and multiple viewers for different specialties and image types. With these obstacles in mind, Mach7 has built innovative solutions from the ground up that can integrate multiple systems, enable clinical collaboration, deliver vendor neutral archiving, provide enterprise-wide universal viewing, modernize legacy PACS, and more. Mach7 is focused on removing the technology limitations that inhibit the free flow of patient information and access to the complete patient medical record. We differ from many other companies in the industry by building an integrated imaging ecosystem where all technologies work together in harmony. Because we are built as an integration platform first, we give you the freedom to use the technologies that are important to your physicians and patients, even if they are from another vendor. This also means we offer the independence and flexibility to deploy these as individual components or a comprehensive end-to-end enterprise imaging platform. Through this, we help organizations increase their efficiency, achieve profound operational cost savings, leverage their existing IT investments, improve the experience for patients and medical professionals, and, ultimately, support healthier outcomes.
- Website
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https://www.mach7t.com/
External link for Mach7 Technologies
- Industry
- Medical Equipment Manufacturing
- Company size
- 51-200 employees
- Headquarters
- Burlington, Vermont
- Type
- Public Company
- Specialties
- Enterprise Image Management, Communication Workflow, Vendor Netural Archiving (VNA), Medical Image Sharing, Rapid Migration, Universal Clinical Viewing, Data Integrity, Mobile & Telemedicine, Healthcare IT, Cloud, medical imaging, and workflow management
Products
eUnity Enterprise Diagnostic Viewer
Medical Device Integration Software
The eUnity Enterprise Diagnostic Viewer is zero-footprint, designed for universal viewing and robust interoperability to image-enable your entire healthcare network. eUnity is accessible on any device, integrates with any PACS, VNA, or other image archives, and can launch from any EMR. eUnity supports diagnostic and clinical image analysis with one intuitive, standards-based universal viewer, providing a unique, true enterprise diagnostic viewing and visualization experience for all users. eUnity directly supports organizations' goals to pursue modern teleradiology and remote reading initiatives.
Locations
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Primary
Get directions
50 Lakeside Ave
PMB 82
Burlington, Vermont 05401, US
Employees at Mach7 Technologies
Updates
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The session concludes with valuable information on claiming credit and session codes. For those interested in the future of pathology, a specific presentation this afternoon delves into digital pathology and its strategic applications. This session features key opinion leaders from the Computational Pathology Center of Excellence at Pitt and UPMC. It's an excellent opportunity to gain deeper insights into digital transformation within pathology. Check the schedule for the exact time, likely around 4:30 or 5:00 PM. Don't miss this dive into the digital pathology space. #DigitalPathology #PathologyInnovation #ComputationalPathology #MedicalTechnology #Healthcare
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Last week we asked which imaging IT trend is most overhyped. The top answer: AI tools that don't integrate into workflows. The imaging AI market is full of algorithms. The problem isn't capability. It's integration. A finding that lives in a separate app, outside the radiologist's worklist and viewer, is a finding that gets missed. AI only works when it shows up where clinicians are already working. That's why workflow integration is the real differentiator, not the algorithm itself. See how UnityVue integrates AI into the reading environment: https://lnkd.in/gPUGPWFh #Mach7 #AIinRadiology #UnityVue #EnterpriseImaging #HealthIT
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Integrating new medical imaging technologies, such as POCUS, into established healthcare systems presents a unique set of challenges. The key lies in aligning the diverse success criteria of various stakeholders. When technological adoption meets operational realities, finding common ground is crucial for seamless workflow integration and maximizing the benefits of innovation. What are your strategies for navigating these complex integration processes? #POCUS #HealthcareInnovation #MedicalTechnology #WorkflowIntegration #SIIMAnnualMeeting
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Workflow friction is a silent killer in organizations, often stemming from poor system fit. When systems don't align with how work actually needs to get done, teams resort to undocumented workarounds. These hidden inefficiencies create unexpected costs and hinder overall productivity. Addressing these infrastructure bottlenecks and leveraging specialized applications are key to optimizing operations. What are your strategies for identifying and mitigating workflow friction? #WorkflowOptimization #SystemIntegration #OperationalEfficiency #Productivity #DigitalTransformation #SIIMAnnualMeeting
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Study volumes are increasing. The number of available radiologists isn't keeping pace. Technology won't solve a staffing crisis. But intelligent worklists, teleradiology that routes to the right subspecialist regardless of location, and zero-footprint viewers that eliminate workstation dependency can close the gap. These aren't future concepts. They're available now. See how cloud solutions are addressing burnout and staffing shortages: https://ow.ly/OUkI50ZqhEi #Mach7 #Radiology #WorkforceChallenge #EnterpriseImaging
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Integrating pathology data into enterprise healthcare systems presents unique challenges and opportunities. The key is to move beyond mere data storage and focus on leveraging this rich information for actionable insights. Accommodating diverse user workflows is paramount to ensuring adoption and maximizing the value derived from these critical datasets. How are organizations effectively bridging the gap between complex pathology data and actionable clinical intelligence? #Pathology #HealthcareIT #DataIntegration #SIIMAnnualMeeting #ClinicalInformatics
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Adopting a holistic approach to problem-solving in architecture requires a deep understanding of client needs. The focus should be on developing inclusive solutions that consider diverse perspectives. While AI offers powerful tools, its implementation must be carefully balanced with performance considerations and cost-effectiveness. True innovation lies in integrating technology thoughtfully, ensuring it enhances, rather than complicates, the design process. How do you ensure your solutions are both innovative and practical? #Architecture #ProblemSolving #InclusiveDesign #AIinDesign #Performance #SIIMAnnualMeeting
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Hot take time. Which trend in imaging IT is getting more hype than it deserves right now? No wrong answers, but we have opinions. Results and our take next week. #Mach7 #EnterpriseImaging #HealthIT #Poll
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The current landscape of imaging data management reveals significant limitations in DICOM and VNA support. A move towards clinically specific workflows is essential to address these gaps. Furthermore, there's a notable divergence in billing and documentation practices when comparing traditional radiology departments with the rapidly evolving field of point-of-care ultrasound. Bridging these paradigms is critical for accurate representation and efficient practice. What are your thoughts on standardizing these workflows for better data integrity and operational efficiency? #MedicalImaging #DICOM #VNA #PointOfCareUltrasound #HealthcareIT #SIIMAnnualMeeting