Abstract
Niramai's breast cancer screening also in rural and suburban markets Such organizations look to fill awareness gaps and offer low- or no-cost screenings to populations with little or no access to the healthcare infrastructure. Further, Niramai intends to cater to the overseas markets, primarily Southeast Asia, Europe and the Middle East - where CE certification and a recognition as an AI-led solution for healthcare takes precedence.
Extract
[...] Niramai partners with nonprofit groups, local administrations, and community groups to organize breast cancer screening events in rural areas. These screenings frequently come at no cost or low fees, seeking to educate and assist those with limited means. Meanwhile, mobile vans travel through villages providing diagnostic services to women otherwise unable to access care. Pros Cons This model aligned with Niramai's mission of making breast cancer screening affordable for women from all socio-economic backgrounds, particularly those in lower socioeconomic strata. [...]
[...] R., Sudigali, V. R., & Pandit, R. (2023). Scaling Niramai: Disrupting breast cancer detection using artificial intelligence (ISB Case No. ISB357). Indian School of Business. https://www.youtube.com/watch?v=_C-vGu2mL38Links to an external site. https://medium.com/seed-digital/how-to-business-model-canvas-explained-ad3676b6fe4aLinks to an external site. https://www.youtube.com/watch?v=HeIipDK2CVcLinks to an external site. [...]
[...] Hospitals charge patients INR 1,500 per screening, so commercially, it's an attractive proposal. Pros Cons The enterprise model accounts for Niramai's major source of revenue, since urban hospitals and diagnostic centers reel in paying customers who can pay for the services. Without targeting new markets, repeatedly engaging urban healthcare could lead to saturation, thus limiting growth opportunities. Strategic partnerships with established healthcare providers - such as Apollo Clinics - helps to scale up quickly in urban markets. Much of its success relies on partnerships with hospitals and diagnostic chains, and Niramai doesn't own its customer relationships. [...]
[...] Scaling Niramai: Disrupting Breast Cancer Detection Using Artificial Intelligence Q1. What is Niramai's market strategy? Note: for answering this question you can (but do not have to) make use of the Ansoff framework (or frameworks derived from it). Niramai's breast cancer screening also in rural and suburban markets Such organizations look to fill awareness gaps and offer low- or no-cost screenings to populations with little or no access to the healthcare infrastructure. Further, Niramai intends to cater to the overseas markets, primarily Southeast Asia, Europe and the Middle East - where CE certification and a recognition as an AI-led solution for healthcare takes precedence. [...]
[...] At the urban level, strengthen enterprise in Niramai through partnerships with hospital chains, diagnostic centers and corporates. The above regions have major customers who can afford to spend on screening solutions that are radiation-free and privacy-sensitive. In rural markets, it should adopt an outreach model like its urban clusters, forming partnerships with NGOs, local governments, and health organizations to conduct screening camps. Thanks to portable Thermalytix devices, Niramai can help overcome the obstacles of limited healthcare infrastructure. To align social impact with financial sustainability, Niramai can drive a cross-subsidization model. [...]
