Empowering Healthcare Providers with swift and non-invasive TB screening using a simple cough recording.
Download our Tuberculosis Brochure here:
Our TB brochure provides a simplified summary of our offerings and explains the workflow of how our technology works. You can download a copy here.
Tuberculosis (TB) remains one of the top 10 causes of death worldwide. Despite advances in medicine, challenges in early detection and treatment adherence continue to hamper efforts to eliminate TB. Swaasa® leverages advanced AI technology to offer a non-invasive, cost-effective, and scalable solution for TB detection and monitoring
Swaasa® records cough sounds and analyzes them for the possibility of TB along with a symptom’s questionnaire. Both these data points are processed by the proprietary engine that works in real time to produce rich data about a patient‘s respiratory condition. This makes monitoring possible and at scale.
Here is a small summary of how the TB workflow work using the
A patient exhibiting TB symptoms is identified by a CommunityHealth Worker (CHW) or at a local clinic.
The CHW or clinic sends an SMS/WhatsApp to the patient at home, requesting a cough sound recording via a URL link.
Clicking on the URL takes the patient to the appropriate app store.
Patient answers few questions on preliminary symptoms
Patient should find a quite place to record the cough sounds
Patient records the sounds by coughing for about 3 to 4 times, while holding the phone at distance of 10-12 cms. Patient submits the cough sound for analysis.
The recorded cough sound is automatically uploaded to the Swaasa®- AI Platform in the cloud for analysis using the proprietary ML model.
The results of the cough sound analysis are instantaneously made available to healthcare providers for review.
High risk patients are scheduled for a hospital visit, as required and are asked to take cough assessments periodically to monitor their health
Swaasa® artificial intelligence platform (Swaasa® AI Platform) is Software as a Medical Device for screening and diagnostic aid in the assessment of respiratory diseases or conditions.
The Swaasa® AI platform is a cloud-based and non-invasive device intended to acquire, analyze, and store cough sounds along with symptoms. The device provides an informational report that is intended to be reviewed by a licensed healthcare professional as a screening tool and diagnostic aid in the assessment of respiratory conditions.
The device is designed for use on adults (18 years and above) in hospitals, physician’s offices, laboratories, medical camps, and occupational health environments. The device can also be used for self-assessments with the direction of healthcare professionals.
Swaasa® AI platform can also be integrated into other medical devices.
Swaasa® AI Platform is compliant with following regulations and standards.
The device provides an output which is functionally equivalent to a Spirometer. It outputs:
In addition the device also detects:
Identification of pattern plays an important part in supporting diagnosis of respiratory conditions such as asthma, COPD etc.. There are four possible patterns of respiratory diseases: obstruction, restriction, mixed (obstruction and restriction) and normal.
Obstructive pattern lung diseases are a group of conditions that make it difficult for a person to completely exhale the air from their lungs. On the other hand, people with restrictive pattern lung diseases experience difficulty in fully expanding their lungs to take in air. Whereas in mixed pattern lung diseases, the total amount of air breathed in and breathed out are reduced.
Spirometry is a pulmonary function test that measures the amount and speed of air that a person can inhale and exhale. It is commonly used to assess lung function and diagnose respiratory conditions. Swaasa predicts the below key parameters based on cough characteristics.
These spirometric parameters help healthcare professionals evaluate lung function and identify patterns indicative of various respiratory conditions, such as chronic obstructive pulmonary disease (COPD), asthma, and restrictive lung diseases. The interpretation of spirometry results involves comparing the measured values to predicted values based on age, sex and height, providing insights into the patient’s respiratory health.
It is a good practice to clean the phone. Please follow these instructions to clean the phone:
Using a soft microfibre cloth and disinfectant, wipe your phone clean.
Use damp cloth dipped in soapy waters for water proof phones
Use mobile sanitizers to clean your phone
The device can also be used for self-assessment at home based on the doctor’s discretion to send an assessment link to the patient. Patients must follow instructions while capturing data and recording the cough.
Taking self assessment at home is for your own well being. Hence it is important that you follow the instructions carefully to get genuine results.
In the interest of your own health and the health of our family and colleagues, it is required that the cough sample recorded is your own cough and not any other person’s.
Keep in mind that the system’s usefulness and effectiveness is dependent on the data submitted and correct answers and your own (patients’) authentic cough samples is what will give the most benefit to you and your family members.
Swaasa® AI Platform uses anonymised data when integrated with 3rd party health service platforms.
When used as a standalone device, users have to accept the End User License Agreement (EULA).
The data security and privacy are handled as per HIPAA compliance.
For more detailed information on FAQs, click here to visit our page
To know more about instructions for usage, click here
Email: [email protected]
For customer support:
+91 9154083835
+91 9154083839
+91 9154083840
Empowering Healthcare Providers with swift and non-invasive TB screening using a simple cough recording.
Swaasa® and LHI® are registered trademarks of Salcit Technologies. All rights reserved. Terms and conditions apply.