Pakistan has a lot of issues in the field of medical and healthcare services across the country. Most of these problems are due to the administration’s failure and lack of resources to tackle the forthcoming issues in the medical field.
Maternal healthcare services are not quite up to the mark as many causalities happen during the pregnancy period of ladies in Pakistan.
Dr. Maryam Mustafa, Director, of Saida Waheed Gender Initiative and Assistant Professor of Computer Science at LUMS, recently introduced her project, ‘Awaaz-e-Sehat: Engaging Maternal Medical Care with Voice-Enabled Electronic Record Management’ at the 78th United Nations General Assembly.
She was important for the meeting on ‘Artificial Intelligence for Accelerating Progress on the Sustainable Development Goals: Tending to Society’s Most Noteworthy Difficulties’.
Dr. Maryam Mustafa’s venture won an award from the Bill and Melinda Gates Foundation out of the north of 1,300 global propositions for its Grand Challenges Catalysing Equitable Artificial Intelligence (computer-based intelligence) Use award.
Her co-scientists on the venture are Dr. Hassan Mohy Ud Clamor (Task Co-PI, LUMS), Dr. Beena Ahmed (Task Co-PI, UNSW), and Dr. Fozia Umber (Task Co-PI, Shalamar Clinic).
As a country battling with disappointing pregnancy results, the shortfall of reported clinical records for expecting ladies looking for care represents a huge test for medical services experts. This absence of data hampers specialists’ capacity to offer exact findings and customized care that considers financial and way-of-life factors. These elements likewise assume an essential part in maternal healthcare results.
Dr. Maryam Mustafa and her group are building a voice-enabled, mobile phone-based, conversational AI assistant, Awaaz-e-Sehat to empower maternal medical services laborers in Pakistan to make and monitor itemized electronic clinical records.
Awaaz-e-Sehat will keep sound reactions in various languages following explicit prompts through a proof-of-idea framework containing a natural UI speech recognition module and a text recognition module.
The framework will then, at that point, convert reactions into text and populate a template electronic clinical record in Urdu. It will be assessed by maternal medical services laborers at Shalamar Hospital in Lahore for its capacity to gather records from 500 patients.
Further developing maternal healthcare results in Pakistan was the essential inspiration driving Dr. Maryam Mustafa’s research proposals. “Our nation has among the most unfortunate pregnancy results around the world, essentially more regrettable than numerous other low-pay nations with a maternal mortality proportion of 186 deaths for every 100,000 live births, when contrasted with the developed country only 12 deaths for every 100,000.
The maternal medical care framework in Pakistan is seriously under-resourced with no accessible apparatuses to help electronic record keeping,” she shared.
She added that her definitive goal is to carry out Awaaz-e-Sehat across maternal healthcare facilities in Pakistan. “It can possibly altogether work on quiet treatment as well as make datasets to prepare analytic artificial intelligence devices that tackle maternal healthcare results in Pakistan.”