May 12, 2023

Enhancing Patient Care with JointTrack API; our Pose Detection API

Image shows a health startup on video call with a patient using AI joint mobility assessment. This uses image annotation API

Healthcare is rapidly evolving, and the demand for innovative solutions has never been higher. One crucial area where AI can make a significant impact is in joint mobility assessment. In this article, we will discuss how  AI joint mobility assessment in health apps can improve patient care and how QuickPose’s JointTrack API can seamlessly integrate this technology into your existing health platforms.

When we refer to the term “Health Apps”, these include mobile apps, as well as video call tools and other platforms where patients communicate with healthcare professionals.

The Importance of Accurate Joint Mobility Assessment

Accurate joint mobility assessment is necessary for effective patient care, diagnosis, and treatment planning. Traditional methods of assessing joint mobility, such as goniometers and visual estimations, are subject to human error and inconsistency, let alone how much of the patient-doctor consultation time assessments take up. As a result, healthcare providers are seeking modern solutions to streamline the process and improve accuracy.

Health Apps with Online Joint Mobility Assessment

Health apps offer a modern solution for joint mobility assessment by leveraging AI and machine learning. Artificial intelligence enhances joint mobility assessment by providing precise joint angle measurements and automatic tracking at scale. By integrating AI-based joint mobility assessment into health apps, healthcare providers can offer more personalised exercise recommendations for patients. This improved joint mobility assessment can aid in injury prevention, rehabilitation, and better patient-provider communication.

Enhancing Remote Monitoring and Treatment Plans

QuickPose’s JointTrack API can help enhance remote monitoring capabilities, support personalised treatment plans, and improve patient-provider communication for better patient outcomes. With real-time joint mobility tracking, healthcare providers can monitor patient progress remotely, promoting treatment plan adherence and better outcomes.

A Competitive Edge: Differentiating Health Apps in the Market

Health apps featuring accurate AI joint mobility assessment can differentiate themselves in the market, leading to increased user retention and revenue growth. Ensuring secure and compliant data handling in health apps with joint mobility assessment is vital for maintaining patient trust and adhering to data privacy regulations.

Future-Proofing Health Apps: Continuous Updates and Expansion

Continuously updating and expanding the capabilities of health apps with joint mobility assessment can further enhance their effectiveness and value for both patients and healthcare providers.

Implementing JointTrack API: Easier Than Ever

QuickPose’s JointTrack API is straightforward to implement into your current tools. By booking a consultation call, you can discuss the specific needs of your health platform and ensure the JointTrack API is tailored to meet your unique requirements and enhance overall patient care.

Conclusion: The Future of Joint Mobility Assessment in Health Apps

With the integration of AI-driven joint mobility assessment technology, such as QuickPose’s JointTrack API, health apps can significantly improve patient care. By addressing the challenges of traditional methods like goniometers and visual estimations, this technology revolutionises the way healthcare providers assess joint mobility and deliver personalised treatment plans. Book a consultation call with QuickPose today to explore how JointTrack API can enhance your health app and optimise patient care.