The Pitch #142 Kinometrix
Sep 4, 2024
Devina Desai, CEO of Kinometrix, champions innovative solutions to prevent the staggering number of patient falls in hospitals. With over a million occurrences annually costing healthcare $35 billion, she discusses the development of a clinical decision support system powered by machine learning. Desai shares challenges in navigating the healthcare software landscape and the importance of data integration. Additionally, the conversation touches on investor expectations and Kinometrix’s future strategic direction, focusing on wellness in healthcare.
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Automate Fall Risk With EHR+ML
- Hospitals perform manual, subjective fall risk checklists that are inaccurate and infrequent.
- Kinometrics uses EHR data and ML to create a dynamic, automated clinical decision support system.
Integrate Dynamic Risk Into Workflows
- Replace static nurse checklists with an integrated risk assessment that updates as new data arrives.
- Recommend targeted interventions based on drivers of risk so nurses deploy resources smartly.
Match Intervention To Risk Driver
- Not all increased fall risk requires extra nursing presence; some risks are clinical or behavioral and need different interventions.
- Tailoring interventions (video monitoring, sitters, meds) optimizes limited hospital staff.