SciChart Selected to Power Telehealth Medical Dashboards for Philips ‘Capsule Surveillance’ in Major North American Rollout
SciChart, the world leader in high-performance precision data visualization software, has been chosen by Philips to deliver advanced charting solutions for its innovative Telehealth ‘Capsule Surveillance’ system.
The collaboration aims to support Philips’ mission of improving patient outcomes through easy, secure access to data and mobile notifications.
The platform, set to roll out across up to 50 hospitals in North America, will enable healthcare teams to enhance patient care through real-time monitoring and tailored, condition-specific alerts. With advanced JavaScript and Android healthcare dashboards, Philips will develop distributed healthcare analytics in clinical settings across disciplines.
Capsule Surveillance will live-stream patient data, detailed trends, and real-time alerts, allowing healthcare professionals to detect emergent conditions early and respond rapidly. This approach shifts healthcare to a more proactive service, improving clinical outcomes.
Clinicians will be able to view complex data at dedicated workstations, embedded hardware via remote browsers, on rounds with tablets, or on the move with smartphones. This supports a flexible healthcare service, where both clinicians and patients have access to the data they need to monitor and respond to health conditions more efficiently.
About SciChart: SciChart is the world’s fastest, precision data visualization software, used by top global companies in sectors ranging from healthcare and engineering to aerospace and scientific research. Offering cross-platform compatibility, precision rendering, and unparalleled performance, SciChart is trusted for applications that demand speed and accuracy in real-time data analysis. SciChart is found everywhere from the F1 race track, to NASA mission command centers and pioneering research.
What Are Telehealth Platforms?
Telehealth platforms are digital systems enabling remote patient monitoring, virtual consultations, and real-time data analysis, used in settings like virtual ICUs and clinics to improve accessibility and patient care efficiency.
Telehealth platforms are transforming healthcare by enabling remote patient monitoring, virtual consultations, and real-time collaboration. They rely on data visualization to convert complex datasets—such as heart rates, oxygen levels (SPO2), and ECG/EKG charts—into clear Medical Dashboards. These visual tools help clinicians quickly assess patient conditions, identify trends, and make timely decisions.
In settings like virtual ICUs, continuous monitoring allows data to be accessed on mobile, tablet, or desktop devices, giving healthcare providers the flexibility to react swiftly. The use of JavaScript, WPF, and Android chart libraries is critical for creating responsive and reliable dashboards, while cross-platform support ensures consistent and accurate data presentation, ultimately improving patient outcomes.
About: SciChart real-time ECG/EKG chart as part of our core medical chart offering
Continuous Analysis of Live, Streaming Clinical Data with SciChart Healthcare Dashboards
SciChart’s unparalleled speed, accuracy, and cross-platform capabilities as a medical charting library made it the clear choice for Philips Capsule Surveillance, a system that brings together detailed patient data, ECG/EKG waveforms, and device alarms into a single, unified view.
It was important for Philips to ensure both the accuracy and integrity of the data, even when processing large volumes in real-time. Using the world’s only high-performance, precision 64-bit data visualization library, they could be confident that their medical dashboards support the needs of their ambitious application.
Philips liked the fact that clinicians can access this data from a virtual ICU screen, tablet, or mobile device. They will also benefit from SciChart’s responsive, precise visualizations, overlays, and annotations, ensuring clarity and reliability in critical situations.
With a client base that includes 90% of the world’s leading MedTech companies, SciChart continues to solidify its position as a key player in the healthcare sector, where performance and accuracy are paramount. This integration with Philips further underscores SciChart’s commitment to supporting groundbreaking projects that make a significant impact in critical industries.
Benefits of Data Visualization in Telehealth
There are a multitude of benefits of using telehealth, and more and more healthcare organizations around the world are choosing to implement this into their systems.
- Improved Decision-Making: Clear and concise visualizations help healthcare professionals make quick, informed decisions that improve patient outcomes.
- Anywhere Access: Visual data can be accessed on various devices, including smartphones, tablets, and desktops, ensuring that critical information is available wherever it’s needed.
- Proactive Care: With real-time data streams, healthcare providers can anticipate problems before they escalate, offering a proactive approach to patient care.
Challenges Telehealth Platforms Face in Data Visualization—and How SciChart Solves Them
Telehealth platforms face several challenges when it comes to data visualization, particularly given the complexity of the data and the need for rapid, real-time processing.
These challenges include:
- Handling Large Volumes of Data: Telehealth platforms often collect data from multiple medical devices, resulting in massive amounts of information that must be processed and displayed in real-time without delay. SciChart’s multi-award-winning Visual Xccelerator (Vx™) engine ensures fast and accurate data insights on any device. Millions of data points can be rendered in real-time with no lag, even on lower-quality hardware and mobile devices. A low memory and CPU footprint also maintains healthy battery life and performance on devices.
- Cross-Platform Consistency: Clinicians access telehealth platforms from various devices, meaning that visualizations must be responsive, clear, and consistent across different screen sizes and operating systems. SciChart is the only cross-platform charting library, meaning its data visualizations perform seamlessly on any device—whether it’s a mobile phone, tablet, embedded hardware or desktop computer.
- Accuracy and Precision: In healthcare, even the slightest error or delay in data visualization can have serious consequences. Telehealth systems need highly accurate and precise visual representations of data to ensure the best possible patient outcomes. SciChart’s 64-bit precision ensures that complex data sets are visualized with the highest level of accuracy, providing healthcare professionals with reliable insights at every moment.
- Scalability: As healthcare organizations expand their use of telehealth, data visualization systems must scale to accommodate growing numbers of patients and devices without sacrificing performance. SciChart effortlessly handles the increasing data demands of large telehealth networks, supporting a growing number of patients and devices while maintaining top performance. Through advanced rendering techniques and optimizations, SciChart enables low-cost embedded hardware and complex functionality on smartphones.
- Flexibility: With various data sources, medical dashboards need to incorporate numerous chart types, annotations and overlays all in single-view screens or with the ability to drill down, review over time and interact with the data. Built for demanding scientific, medical and engineering applications, SciChart is designed for bespoke product creation when off-the-shelf solutions don’t exist. The versatile and expansive API allows deep configuration and customisation of charts, detailed dashboard creation and continuous improvement.
How SciChart Meets These Challenges:
- Unmatched Performance: SciChart’s proprietary Visual Xccelerator (Vx™) engine is designed for high-performance environments, rendering millions to billions of data points in real-time, ensuring clinicians can access and interact with data without lag or delay.
- Cross-Platform Capability: SciChart is the only cross-platform charting library, meaning its data visualizations perform seamlessly on any device—whether it’s a mobile phone, tablet, embedded hardware or desktop computer. This ensures that healthcare providers always have consistent, clear data displays, no matter where they are or what device they use without sacrificing native performance.
- Precision and Accuracy: SciChart’s 64-bit precision ensures that complex data sets are visualized with the highest level of accuracy, providing healthcare professionals with reliable insights at every moment.
- Scalability and Efficiency: SciChart is engineered for scalability, effortlessly handling the increasing data demands of large telehealth networks, supporting a growing number of patients and devices while maintaining top performance. Through advanced rendering techniques and optimizations, SciChart enables low-cost embedded hardware and complex functionality on smartphones.
- Flexibility: Built for demanding scientific, medical and engineering applications, SciChart is designed for bespoke product creation when off the shelf solutions don’t exist. The versatile and expansive API allows deep configuration and customisation of charts, detailed dashboard creation and continuous improvement.
By addressing these critical challenges, SciChart empowers telehealth and healthcare analytics platforms to provide medical teams with the accurate, real-time data they need to make faster, smarter decisions—ultimately leading to improved patient outcomes across the board.
Medical Dashboards for ECG/EKGs and Telehealth platforms
Whether you’re looking for ECG Charts, EKG visualization tools, or custom medical dashboards, SciChart enables clients to pioneer life-changing medical devices and push the boundaries of research. Our high performance rendering engine, designed with medical applications and research in mind can help you bring your next project to life on anything from mobile devices, to embedded hardware or remotely accessible browsers. SciChart is the only high-performance precision 64-bit library built for data accuracy and integrity available on WPF, JavaScript, iOS, Android and MacOS with support for Linux.
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