Ari Brenner on why predictive insights from In-House's platform are key to improving nurse schedules. "One of the key things that prevents nursing teams from staffing themselves effectively and sustainably is predicting demand for their services. Predicting demand for services is a problem that every industry faces, but I would argue it's particularly acute in healthcare. To put it bluntly, it's a lot worse if I get demand prediction wrong in healthcare - if I predict wrong how many patients I will have, or how sick they are in a hospital setting, lives are at stake. A lot of what makes nursing a very challenging thing to staff and schedule, and makes it demanding on teams, is the stakes of getting it wrong are very serious".
In this episode, we were delighted to be joined by Ari Brenner, Founder of In-House Health. This episode is brought to you by Lee Watton Tech Talks: The People and Planet Podcast explores how technology is tackling the world’s most pressing problems such as: 🏥 Healthcare, 🌍 Climate Change 🎓 Education. To listen to more, tune in via the links below👇 YouTube: https://lnkd.in/eWZbZXVf Spotify: https://lnkd.in/eApNeZ7m