Healthcare cash management is becoming increasingly complex. Slow insurance reimbursements, unpredictable patient payments, and rising operational costs demand smarter strategies. Many organizations are turning to technology-driven solutions to help healthcare leaders maintain liquidity, streamline workflows, and deliver exceptional patient care while managing financial pressures.

The Cash Management in an AI World survey explores technology-related questions. In addition to healthcare, the survey garnered responses from over 250 treasury professionals working in commercial real estate, manufacturing, higher education, warehousing, transportation and logistics. This blog focuses on the survey results from respondents practicing treasury at healthcare companies.

Those who work in healthcare have changed how they identify and manage risk exposures, adjust supply chain strategies, and experience cost increases (see Figure 1). How are these changes affecting cash management?

Figure 1: Impacts of Global Uncertainty on Cash Management for Healthcare in 2025

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In 2025, economic volatility led to notable increases in both Days Sales Outstanding (DSO) and Days Payable Outstanding (DPO), as shown in Figures 2 and 3. These developments underscore the growing importance of making data-driven decisions regarding cash flow management.

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Healthcare companies are using AI across many areas of cash management. Over half (58%) of those surveyed show AI adoption in cash forecasting (62%), accounts payable (63%), accounts receivable (49%), and/or fraud detection (51%). The adoption of AI in cash management beyond cash forecasting aligns with the fact that many treasury departments have direct control over AP and AR. Forecasting success depends on understanding and predicting cash inflows and outflows, so leveraging AI across cash forecasting, accounts payable (AP), and accounts receivable (AR) makes sense. (See Figure 4)

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Why are respondents in healthcare turning to AI in treasury? Identifying the top cash management challenges faced by their treasury teams can help in answering this question.

Treasury teams face the most common cash management challenges, including lack of visibility into bank account activity, lack of collaboration with AP and AR, and too much time spent on non-value add activities. AI-driven tools for fraud detection, AP, AR, and cash forecasting can help mitigate these issues.

 

AI Adoption in Healthcare Treasury

  • Healthcare treasury teams have more control and influence over accounts receivable than those in commercial real estate, manufacturing, and higher education.
  • Supply chain challenges are more common in healthcare than in commercial real estate, manufacturing, or higher education.
  • DPO increases are less prevalent in healthcare than in commercial real estate, manufacturing, or higher education.

  

Survey Insights: Key Takeaways

  1. Unprecedented global market dynamics in 2025 increased DSO and DPO at companies of all sizes across diverse industries.
  2. Top cash management challenges include unanticipated changes in regulatory, limited cash visibility, and a lack of collaboration between treasury, AP, and AR teams.
  3. To manage cash more effectively, treasury teams should identify and reduce cash management silos within their own teams, and between AP/AR and treasury.
  4. AI adoption in treasury is common in cash forecasting, fraud prevention, AP, and AR.
  5. Key objectives for adopting treasury technology in 2025 and 2026 include improving security and control around financial processes, gaining better data visibility for smarter decision-making, and automating manual/repetitive tasks.
  6. Companies are investing in technology training, business partnering, and upgrades to cash management, data management, and data analytics tools.
  7. Despite AI adoption, companies plan to add treasury staff in 2026.

 

Next Steps for Healthcare Treasury Professionals

  • Improve collaboration between treasury, AP, and AR to break down cash management silos and improve visibility.

  • Invest in AI tools and training to automate tasks, enhance cash forecasting, and strengthen fraud prevention.
     
  • Regularly monitor DSO and DPO trends to guide data-driven decision-making and optimize liquidity management strategies.

Download the full white paper for benchmarks and actionable strategies.