Project

Research Area | Point-of-Care Medical Technologies for Real World Data and Evidence Generation to Improve Public Health

Pratik Shah

Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative point-of-care and at-home studies using mobile phones, sensors, wearables and Electronic Health Records to generate new treatment approaches. In a study published in the British Medical Journal, we evaluated the significance and efficacy of RWD generated from advanced technology-enabled, non-invasive diagnostic screening (TES) using smartphones and other point-of-care medical imaging devices vs conventional vital signs examinations (Project link). This study led to significant insights regarding strategies for developing technologies at MIT that are ready for deployment and designed for effective and scalable primary care and RWE generation. For example: 

a) Construction and validation of low-cost, point-of-care, near-infrared imaging devices to diagnose dental caries, cracks, and demineralization without the use of ionizing X-rays have been published (Project link, Project link, Project link).

b) We have open-sourced the construction and the algorithm of porphyrin imaging devices an… View full description

Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative point-of-care and at-home studies using mobile phones, sensors, wearables and Electronic Health Records to generate new treatment approaches. In a study published in the British Medical Journal, we evaluated the significance and efficacy of RWD generated from advanced technology-enabled, non-invasive diagnostic screening (TES) using smartphones and other point-of-care medical imaging devices vs conventional vital signs examinations (Project link). This study led to significant insights regarding strategies for developing technologies at MIT that are ready for deployment and designed for effective and scalable primary care and RWE generation. For example: 

a) Construction and validation of low-cost, point-of-care, near-infrared imaging devices to diagnose dental caries, cracks, and demineralization without the use of ionizing X-rays have been published (Project link, Project link, Project link).

b) We have open-sourced the construction and the algorithm of porphyrin imaging devices and also created a cell phone clip that can be used on a mobile phone camera (Project link).

c) In collaboration with MIT Chemical Engineering and other researchers we have developed and published protocols for a POC lateral flow diagnostic strip and bio-digital wearable devices to detect biomarkers in human saliva samples. Biomarkers such as matrix metalloproteinases-8 and -9, pH and nitric oxide linked to oral diseases, stress and human physiology have been successfully integrated with our platforms (Project link).

d) A study of a low-cost mask to screen for sleep apnea through physiological monitoring: respiratory activity (airflow and nasal air pressure) and sleep behavior (motion and noise) has been published (Project link).