$2.6 billion is the estimated annual cost of caregiver turnover in the US home health industry – a figure Biscochito, a Santa Fe-based caregiving company, is directly attempting to influence with a novel, academically-backed experiment in collaborative scheduling. While many companies chase efficiency through centralized control and automation, Biscochito is deliberately inverting that model, and partnering with Harvard Business School and the Freeman School of Business at Tulane University to measure the impact. Follow the money: the high cost of replacing caregivers isn’t simply a HR problem, it’s a fundamental threat to the financial viability of an industry facing a demographic crisis.
The core of the study, launching this March, isn’t if Biscochito should move to collaborative scheduling – that decision is already made – but how to best support that transition using an AI assistant. This is a crucial distinction. The company, led by Kimberly Corbitt, has already committed to shifting scheduling responsibility outward, empowering caregivers to coordinate coverage within their teams and resolve conflicts directly. This represents a significant departure from the industry standard, where scheduling is typically a centralized function managed by coordinators and layered with increasing oversight as organizations grow. That centralized model, while appearing to offer control, demonstrably adds costs and, critically, diminishes peer interdependence.
Drawn from santafenewmexican.com.
Biscochito’s rationale is rooted in 20 years of experience. Corbitt argues that sustainable caregiving hinges on three pillars: consistent schedules, supportive communities, and maximizing caregiver wages. Scheduling, she contends, is the linchpin connecting all three. By reducing the overhead associated with centralized scheduling, more resources can be directed towards caregivers themselves. But the move isn’t simply about cost savings; it’s about fundamentally altering the power dynamic within the organization. The AI assistant isn’t designed to automate tasks, but to prompt interaction – surfacing availability, encouraging communication, and fostering a sense of collective responsibility for scheduling. This is a deliberate attempt to build a more resilient, interconnected workforce.
The academic partnership, spearheaded by Jasmijn Bol of Tulane and Dennis Campbell of Harvard, isn’t driving the strategy, but providing the rigorous data analysis to validate – or invalidate – Corbitt’s hypothesis. The researchers are collecting both quantitative data and conducting extensive interviews, focusing on how the AI shapes interaction and whether it genuinely strengthens collaboration over time. Notably, the researchers acknowledged that designing technology to increase human interaction is an atypical approach, as most technological advancements aim for automation and reduced human involvement. This highlights the inherent tension between traditional efficiency metrics and Biscochito’s focus on durability and relational strength.
The study’s design is particularly noteworthy because it bypasses the common “proof of concept” phase. Biscochito isn’t asking if collaborative scheduling works, but how to make it work effectively. This is a high-stakes gamble. If successful, it could offer a blueprint for a more sustainable caregiving model, addressing the industry’s chronic staffing shortages and improving the quality of care. However, the potential pitfalls are significant. Will caregivers embrace the increased responsibility? Will the AI truly facilitate collaboration, or simply add another layer of complexity? Will the benefits of increased interconnection outweigh the potential for conflict and uneven workload distribution?
What this means for your wallet: the success of Biscochito’s experiment isn’t just about the company’s bottom line. If this model proves scalable, it could lead to more stable caregiving services, potentially moderating the rising costs of in-home care – a cost borne directly by families and, increasingly, by government programs. Watch closely for the data released by Harvard and Tulane in the coming months. Specifically, investors and consumers should monitor whether Biscochito can demonstrably reduce caregiver turnover rates and maintain or improve client satisfaction scores. The question isn’t just whether AI can schedule shifts, but whether it can build a more durable and equitable future for the caregiving profession.
