Senior Lead Product Manager Qventus

The pressure on US hospitals is increasing due to rising costs of care and pharmaceuticals, in addition to increasing expectancy of high-quality services at lower prices. Vast bodies of medical data sets can be used to help ease bottlenecks in these overworked systems, but processing this data into actionable insights is a laborious and time-consuming task. Qventus improves the operational efficiency of hospitals and medical centers by using AI to interpret raw medical data into actionable data for staff. The data produced helps teams anticipate bottlenecks and resolve problems before they occur. Qventus claims this forward-thinking approach helps decrease the length of stay of patients, increase morning discharge rates, and overall improve cash flow margins. Many healthcare SaaS startups aim to use AI to interpret medical data, but Qventus’s approach to identifying bottlenecks within a health system is particularly beneficial. The software uses machine learning to drive its AI, meaning that with every problem identified and prevented, the system will become smarter. Funding raised by the company will be used to support the development of its AI operational assistants and to continue its expansion to additional hospitals and health systems.