Scrums.com logomark
SovTech is now Scrums.com! Same company, new name.
Read more here

Edge Computing in Healthcare Apps: A Prescription for Success

Explore how Edge Computing is revolutionizing healthcare apps, delivering real-time insights, and transforming patient care.

Boitumelo Mosia
September 13, 2023
Blog cover image

The Healthcare Landscape in the Digital Age

In today's digital age, healthcare is experiencing a profound transformation, driven by the integration of technology and mobile app development. The healthcare landscape is evolving rapidly, with a significant focus on enhancing patient care and outcomes. Mobile healthcare apps have become instrumental in bridging the gap between patients and healthcare providers, offering innovative solutions that improve accessibility, convenience, and the overall quality of care.

Healthcare apps encompass a wide range of functionalities, from telemedicine platforms that facilitate virtual doctor-patient consultations to fitness and wellness apps that empower individuals to proactively manage their health. Patients can now monitor vital signs, track medication adherence, and access medical information with a few taps on their smartphones. This digital revolution has not only empowered patients to take control of their health but has also allowed healthcare providers to offer more personalised and efficient care.

App development in the healthcare sector is continuously pushing the boundaries of what's possible. Advanced features such as real-time health data monitoring, AI-powered diagnostics, and secure data sharing are becoming increasingly prevalent, leading to more accurate diagnoses and treatment plans. Furthermore, mobile app development is also streamlining administrative tasks for healthcare professionals, allowing them to focus more on patient care.

Edge Computing's ability to reduce latency and enable real-time decision-making is a prescription for success in the rapidly evolving healthcare landscape.

The Need for Real-time Data in Healthcare Apps

In the realm of healthcare app development, real-time data is an indispensable asset. These apps rely on immediate access to patient information, diagnostic insights, and treatment recommendations to deliver effective care. From remote monitoring to telemedicine, healthcare apps depend on the timely transmission and processing of data for accurate decision-making. Any delay or latency in data retrieval can have critical implications for patient outcomes. As technology continues to advance, healthcare apps must prioritize reducing latency to ensure that healthcare professionals have instant access to vital information, enabling them to make informed decisions swiftly and enhance the overall quality of care provided to patients.

Applications of Edge Computing in Healthcare Apps

Edge Computing has ushered in a new era for healthcare apps, revolutionizing the way patient care is delivered and experienced. Here are some key use cases that exemplify the transformative potential of Edge Computing in healthcare:

1. Remote Patient Monitoring: Edge Computing enables real-time monitoring of patient's vital signs and health data, even in remote or home settings. This constant stream of data is crucial for chronic disease management and early intervention. Healthcare apps can process this data at the edge, providing timely updates to healthcare providers and caregivers, and ensuring that patients receive prompt attention when needed.

2. Real-time Diagnostic Imaging: In scenarios where diagnostic images, such as X-rays or MRIs, require rapid analysis, Edge Computing shines. Healthcare apps can leverage edge servers to process these images instantly, allowing radiologists to make quick and accurate diagnoses. Reduced latency ensures that critical decisions are made promptly, potentially saving lives.

3. Personalised Treatment Recommendations: Edge Computing can power machine learning algorithms that analyse patient data in real time. This enables healthcare apps to provide personalised treatment recommendations based on a patient's current condition, medical history, and emerging trends in healthcare research. Patients receive tailored guidance and treatments, leading to improved outcomes and satisfaction.

Incorporating Edge Computing into healthcare apps empowers them to operate seamlessly in real-time, resulting in more precise diagnoses, timely interventions, and a higher quality of care for patients.

Real-world Success Stories

Real-world Success Stories

  • Proximie: Proximie is a healthcare platform that utilises Edge Computing to connect surgeons in real time, enabling them to collaborate and assist during surgeries regardless of their geographical location. This platform has been particularly impactful in emergency cases where specialized expertise may not be available locally. Surgeons can guide their counterparts remotely, offering real-time advice and assistance, ultimately improving surgical outcomes and patient care.
  • Ambient Clinical Analytics: This healthcare app uses Edge Computing to provide real-time clinical decision support to physicians and nurses. By analysing patient data at the edge, it delivers timely alerts and recommendations to healthcare professionals, assisting in early detection and intervention for conditions like sepsis. This has significantly reduced mortality rates and improved patient outcomes in critical care settings.
  • HealthPlix: HealthPlix is an app designed to streamline and enhance doctor-patient interactions. By leveraging Edge Computing, it provides doctors with instant access to patient records and treatment recommendations during consultations. This ensures that medical decisions are made promptly and accurately, resulting in more effective treatment plans and improved patient experiences.
  • Vivify Health: Vivify Health employs Edge Computing to enable remote patient monitoring. Patients with chronic illnesses can use medical devices at home to measure vital signs. The data is processed at the edge, allowing healthcare providers to track patients' health in real time. This has reduced hospital readmissions and emergency room visits, leading to better disease management and patient well-being.

These real-world success stories illustrate how Edge Computing is making a significant impact on healthcare apps by enhancing clinical decision-making, improving healthcare delivery, and ultimately contributing to better patient outcomes and experiences.

Conclusion: A Healthier Future with Edge-enhanced Healthcare Apps

The integration of Edge Computing into healthcare app development represents a monumental leap forward in revolutionizing the healthcare industry and improving patient care. The advantages it brings, such as reduced latency, real-time data access, and enhanced decision-making capabilities, cannot be overstated.

Edge-enhanced healthcare apps are ushering in a new era where healthcare professionals can access critical patient data instantaneously, facilitating quicker diagnoses and more timely interventions. This translates into better patient outcomes and an overall improvement in the quality of care provided.

Looking ahead, we envision a healthcare landscape where Edge Computing plays an even more pivotal role. With the ongoing expansion of the Internet of Things and the increasing reliance on mobile devices, healthcare apps will continue to evolve, becoming even more integrated, efficient, and patient-centric. Edge Computing will be at the forefront of this transformation, ensuring that healthcare apps deliver the speed and responsiveness needed to meet the demands of the digital age.

In this future, patients will have access to healthcare services that are not only more efficient but also more personalized, ultimately leading to healthier lives. Edge-enhanced healthcare apps are the prescription for success in the evolving healthcare landscape, and they hold the promise of a healthier future for all.

As seen on FOX, Digital journal, NCN, Market Watch, Bezinga and more
Scale Your Development Team
Faster With Scrums.com
Get in touch and let's get started
Book a Demo
Tick
Cost-effective
Tick
Reliable
Tick
Scalable