HealthTech2Care (HT2C) Podcast featuring Sergey Vasilenko, CCRN, MPH, MHA, Co-Founder & Chief Nursing Officer (CNO) at In-House Health
Sergey Vasilenko, CCRN, MPH, MHA (Guest):
🌐 Website: https://www.inhouse.health
🔗 LinkedIn: https://www.linkedin.com/in/sergey-vasilenko
Bert Fernandez (Host):
🌐 Website: https://www.healthtech2care.com
🔗 LinkedIn: https://www.linkedin.com/in/bert-fernandez
📺 YouTube: https://www.youtube.com/@healthtech2care
🎙️ In this episode, Sergey Vasilenko shares how In-House Health is helping acute-care hospitals and post-acute care facilities (particularly skilled nursing and long-term care) reduce their dependency on agency and travel nurses by predicting workforce demand before it happens.
Drawing from his decade in the neuro ICU, Sergey explains how their AI-powered platform uses real-time data to forecast staffing needs, optimize shift assignments, and cut costly overtime — giving head nurses and leaders visibility into what's coming next instead of reacting to last-minute shortages.
He also discusses how In-House Health integrates with EHR and HR systems, the insights learned from its hospital design partners, and the challenges of building smarter scheduling tools with nurses rather than for them.
⏱️ Timestamps: TBD to added once YouTube finishes processing the video
00:00 Intro
01:02 What led you from a decade in the neuro-ICU to co-founding In-House Health?
03:15 What staffing challenges are you seeing today, especially in long-term care?
05:21 Why focus on long-term care, and how is it connected to other parts of healthcare?
08:10 How does your AI platform predict nursing demand and reduce over- or under-staffing?
15:37 What role does data integration (like with PointClickCare) play in powering predictions?
22:23 How did working with Asuta's hospital network shape your product vision?
26:03 What's next for In-House Health and how can leaders connect with your team?
🔑 Highlights:
-Why healthcare's staffing crisis can't be solved by more travel nurses
-The cost of uncertainty in workforce planning
-Predicting nurse demand using AI and length-of-stay trends
-Real-time adjustments and integrations with EHR and HR platforms
-Building scheduling tools with direct input from nurses
👉 Learn more about In-House Health: https://www.inhouse.health
🔔 Subscribe to HealthTech2Care for more in‐depth conversations with healthcare innovators: https://www.youtube.com/@healthtech2care
#NursingLeadership #StaffingCrisis #HospitalOperations #Skilled Nursing #PostAcuteCare #AIinHealthcare #PredictiveAnalytics #InHouseHealth #HealthTech2Care
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