Objectives: Noncommunicable diseases (NCDs) pose a significant burden, especially in low- and middle-income countries such as the Philippines. To tackle this issue, the Department of Health launched the Philippine Package of Essential Non-Communicable Disease Interventions (PhilPEN), which includes the use of the Noncommunicable Disease Risk Assessment Form. However, healthcare workers have encountered difficulties due to the form's complexity and the lengthy process required. This study aimed to create a mobile medical app for community health workers by adapting the PhilPEN Noncommunicable Disease Risk Assessment Form using the extreme prototyping framework. The focus was on simplifying data collection and improving the usability of health technology solutions.
Methods: The study employed a qualitative research methodology, which included key informant interviews, linguistic validation, and cognitive debriefing. The extreme prototyping framework was utilized for app development, comprising static prototype, dynamic prototype, and service implementation phases. The app was developed with HTML5, CSS3, JavaScript, and Apache Cordova, adhering to World Health Organization (WHO) guidelines and PhilHealth Circular.
Results: The development process involved three prototype cycles, each consisting of multiple mini-cycles of feedback, system design, coding, and testing. Version 1.xx was aligned with WHO guidelines, Version 2.xx integrated the Department of Health NCD Risk Assessment Form, and Version 3.xx adapted to the updated form with expanded requirements.
Conclusions: The extreme prototyping framework was effectively applied in the development of a medical mobile app, facilitating the integration of health science and information technology. Future research should continue to validate the effectiveness of this approach and identify specific nuances related to health science applications.
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http://dx.doi.org/10.4258/hir.2025.31.1.88 | DOI Listing |
IEEE Trans Med Imaging
February 2025
Acquiring a large volume of annotated medical data is impractical due to time, financial, and legal constraints. Consequently, few-shot medical image segmentation is increasingly emerging as a prominent research direction. Nowadays, Medical scenarios pose two major challenges: (1) intra-class variation caused by diversity among support and query sets; (2) inter-class extreme imbalance resulting from background heterogeneity.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
April 2025
By leveraging the blur-noise trade-off, imaging with non-uniform exposures largely extends the image acquisition flexibility in harsh environments. However, the limitation of conventional cameras in perceiving intra-frame dynamic information prevents existing methods from being implemented in the real-world frame acquisition for real-time adaptive camera shutter control. To address this challenge, we propose a novel Neuromorphic Shutter Control (NSC) system to avoid motion blur and alleviate instant noise, where the extremely low latency of events is leveraged to monitor the real-time motion and facilitate the scene-adaptive exposure.
View Article and Find Full Text PDFBiosensors (Basel)
February 2025
Department of Computer Science and Engineering, Colorado Mesa University, Grand Junction, CO 81501, USA.
Free divers are known to experience a physiological response during extreme breath holding, causing involuntary breathing movements (IBMs). To investigate these movements, a low-cost multi-core ESP32-Pico microcontroller prototype was developed to measure IBMs during a static breath hold. This novel device, called the bioSense, uses a differential measurement between two accelerometers placed on the sternum and the xiphoid process to acquire breathing-related movements.
View Article and Find Full Text PDFAdv Sci (Weinh)
February 2025
Univ Rennes, CNRS, IETR-UMR 6164, Rennes, F-35000, France.
Filter synthesis is an inverse problem that is traditionally approached rationally by engineering the coupling between selected pairs of lumped resonators. The implicit restriction to spatially disjoint resonators strongly limits the design space, making it challenging to build extremely tunable filters. Here, agile free-form signal filtering and routing are demonstrated with an alternative purely-optimization-based approach leveraging a multi-parameter programmable system with many spatially overlapping modes.
View Article and Find Full Text PDFJ Chem Phys
February 2025
Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany.
Fluid transport across nanometric channels induced by electric, pressure, and concentration gradients is ubiquitous in biological systems and fosters various applications. In this context, computer simulation setups with well-defined open-boundary equilibrium starting states are essential in understanding and assisting experimental studies. However, open-boundary computational methods are scarce and do not typically satisfy all the equilibrium conditions imposed by reality.
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