The widespread implementation of an artificial intelligence-powered scheduling system at HCA Healthcare, the largest hospital chain in the United States, has ignited a firestorm of criticism from nurses who report significant disruptions to their work-life balance and, more alarmingly, potential detriments to patient care. The software, known as Timpani and co-developed with data analytics firm Palantir, has been rolled out to approximately 130 of HCA’s 190 facilities since 2023. However, the system’s performance has drawn sharp rebukes from frontline caregivers, who argue it frequently disregards their stated preferences, leads to understaffing, and contributes to an environment of pervasive exhaustion.
Amber Retzloff, a critical care nurse in Florida with a decade of experience and a union leader with National Nurses United, exemplifies the frustration. Over a four-month period, Retzloff submitted requests to work 50 specific 12-hour shifts. To her dismay, the Timpani software assigned her to different shifts more than half the time. These assignments often resulted in arduous back-to-back-to-back workdays, leaving her mentally depleted. While Retzloff acknowledges that not every preference can be accommodated, she asserts that the AI system is demonstrably worse at honoring requests than the manual scheduling methods previously employed by hospital managers.
"No one is happy with Timpani," Retzloff stated in an interview with WIRED, a sentiment echoed by five other nurses from various HCA locations who spoke to the publication. "Everyone complains all the time." These sentiments are further amplified on online forums like Reddit, where purported HCA employees have voiced similar grievances regarding the AI scheduling tool.
Nurses who have spoken out allege that Timpani’s scheduling decisions have had tangible negative impacts on patient care. They contend that the system frequently results in understaffed or imbalanced care teams, particularly on Sundays. The software is criticized for failing to adequately staff shifts with experienced nurses, often leading to situations where junior staff are left to manage complex patient needs with limited senior oversight. This imbalance, they argue, forces experienced nurses like Retzloff to divert attention from the sickest patients to guide less experienced colleagues through less critical cases, thereby delaying care and potentially compromising patient outcomes.
The core of the issue, according to these healthcare professionals, lies in the software’s inability or unwillingness to consistently incorporate nurses’ expressed preferences for shift spacing, night and weekend work, or specific days off. This disregard for personal and professional needs forces nurses to spend an inordinate amount of time attempting to trade shifts or appeal their schedules, a process that was significantly less burdensome when human managers handled the assignments. The nurses also report an increase in colleagues calling out or using paid time off to avoid undesirable assignments, a move that carries the risk of termination if done too frequently.
A Shift from Human Judgment to Algorithmic Directives
Prior to the widespread adoption of Timpani, scheduling was a more collaborative process. Managers would manually create schedules, typically consulting with nurses well in advance when requests needed to be overridden. This allowed for a degree of flexibility and personal consideration that the AI system, according to nurses, lacks.
"I can’t remember any issues before," said a non-union nurse from Texas who requested anonymity due to fear of retaliation from HCA. "Everything came out on time." This sentiment highlights a perceived degradation in the efficiency and fairness of scheduling post-Timpani implementation.
However, HCA spokesperson Harlow Sumerford maintains that nursing leaders, not the AI, retain the final authority on scheduling decisions. He characterized assertions that the tool is "designed to reduce staffing at the expense of patient care" as misrepresentative. Sumerford stated that HCA’s objective is "to have the right caregivers, with the right skills and experience, available to meet the needs of our patients while also considering our colleagues’ scheduling preferences." He also indicated that HCA is committed to continuously improving Timpani based on feedback received from its nursing staff.
"Being Kicked While We’re Already Down"
Despite HCA’s assurances, nurses across the country continue to report persistent issues. Lee Barker, an HCA nurse in Missouri and a leader within National Nurses United, noted that while HCA claims Timpani schedules nurses for only 1 percent of their requested days off (known as "red days"), this statistic belies the reality on the ground. According to Barker, before Timpani, being scheduled on a red day was virtually unheard of at their facility. Less than a year after the software’s introduction, however, it has become commonplace for nurses to be assigned to work on days they had specifically requested off. Barker herself had to postpone a crucial doctor’s appointment for a chronic condition after struggling to trade an assigned red day. "It feels like we’re being kicked while we’re already down," Barker lamented.
While HCA management has reportedly made minor updates to Timpani in response to complaints, nurses indicate that fundamental problems persist. Leaders from National Nurses United, representing approximately 10,000 of HCA’s 100,000 nurses, report that the company has been unwilling to share detailed information about the technology, further fueling distrust.
Adding a layer of legal scrutiny to the situation, Angelique Russell, a former HCA data science manager, filed a lawsuit in July alleging wrongful termination in retaliation for raising concerns about Timpani. Russell claimed that HCA routinely deleted data crucial for auditing the AI’s scheduling performance, potentially violating healthcare laws. HCA has not yet filed a formal response in court, and Russell declined to comment on the ongoing litigation.
The Palantir Foundry Backbone and HCA’s Strategic Vision
Timpani is built upon Palantir Foundry, a sophisticated software platform designed for data integration and analysis across an organization’s operations. The scheduling tool utilizes algorithmic forecasts of patient volumes and staffing requirements to automate the creation of nursing schedules. When Timpani was launched in 2023, Michael Schlosser, HCA’s top innovation executive, told WIRED that the system was intended to streamline operations, reduce costs, and eliminate favoritism in shift assignments.
In a paper published in July, Schlosser further elaborated on the perceived benefits, stating that Timpani has significantly decreased the hours managers dedicate to scheduling, reduced reliance on expensive contract nurses, and contributed to improved nurse retention. He attributed this efficiency to the AI’s ability to generate "stronger initial schedules," asserting that over 98 percent of these schedules include a "mix of skill and experiences."
HCA’s "responsible AI policy" emphasizes the protection of individuals from physical or emotional harm. The company has also stated that nurses were consulted during Timpani’s development, and an empathetic approach was taken. Marketing materials from HCA have featured nurses praising the tool for its ease of use and time-saving capabilities. However, the experiences shared by other HCA nurses paint a starkly different picture, suggesting a disconnect between the company’s public messaging and the daily realities faced by its frontline staff.
Broader Implications of AI in Healthcare
The issues at HCA Healthcare are not isolated. Rayus Radiology, a prominent US imaging chain, also began experiencing scheduling errors earlier this year after implementing a similar system built on Palantir Foundry. Internal documents reviewed by WIRED revealed that the software, intended to populate scheduling fields from doctor’s orders, had on multiple occasions erroneously linked requests to incorrect patient profiles, listed incompatible tests or scans, or fabricated patient details. Schedulers at Rayus attributed these errors to factors such as non-standard forms, illegible handwriting, and insufficient human oversight.
Kit Crancer, a spokesperson for Rayus, defended the company’s practices, stating that broad characterizations do not accurately reflect their "processes, safeguards, or commitment to safe, accurate, and timely patient care." He emphasized that Rayus employs technology "to support, not replace, appropriate human judgment and oversight."
A Palantir spokesperson, who declined to be named, stated that the company’s software merely presents information in a more accessible format and that their clients bear responsibility for the data, policies, and decision-making processes.
Palantir’s Growing Influence and Mounting Concerns
Palantir’s revenue has seen a substantial surge, nearly doubling to approximately $2 billion per quarter, driven by increasing demand from organizations seeking its expertise in data analysis and task automation. The healthcare sector, grappling with rising costs and persistent staffing shortages, has become a particularly eager customer. Cleveland Clinic, for instance, credited Palantir software with enhancing patient capacity by improving ER discharge forecasting and streamlining manual coordination efforts.
However, Palantir has also faced significant criticism from civil rights advocates regarding its work with defense and immigration agencies, as well as the public political stances of its co-founders, Peter Thiel and Alex Karp. In the United Kingdom, a $440 million contract with the National Health Service (NHS) aimed at reducing appointment wait times has been met with fierce opposition from nurses and activists who have demanded its cancellation due to privacy and security concerns.
A Climate of Anxiety and Resistance
At HCA, the desire to see Palantir’s influence curtailed is palpable among some nurses. While studies exploring the potential of AI-based scheduling exist, nurses like Barker describe Timpani as a pervasive source of anxiety. "Everyone checks immediately and every month you hear, ‘Man, why did it schedule me like that?’" Barker said.
Initially, some local HCA managers possessed the ability to edit Timpani’s generated schedules. However, nurses now report that problematic shifts must be flagged to a centralized team at HCA headquarters in Nashville. This appeals process, according to nurses, lacks direct communication and opportunities for nuanced explanations. When appeals are denied, nurses are left to try and swap shifts, a prospect they estimate has only a 50 percent success rate.
Barker, who also serves as a National Nurses United leader at an HCA psychiatric center, claims that several colleagues have resigned due to issues with Timpani. She also reports an increase in workplace injuries within the first year of the software’s implementation. The union at Barker’s center, representing approximately 500 nurses, has filed a grievance against HCA, asserting that the company is failing to adequately honor scheduling preferences. This dispute is reportedly on track for arbitration.
In the early stages of Timpani’s rollout, HCA’s Michael Schlosser acknowledged that healthcare workers might be slow to adopt new technologies due to the high stakes involved in patient care. He envisioned a future where frontline nurses would actively advocate for more advanced tools, making the process "fun." However, three years into widespread implementation, many nurses feel that this optimistic vision remains elusive, replaced by a system that generates stress rather than efficiency.
Hannah Drummond, an incoming board member for the National Nurses United affiliate, the National Nurses Organizing Committee, stated that nurses at her North Carolina HCA hospital would actively resist any attempts to introduce Timpani. This sentiment underscores a growing movement among healthcare professionals to push back against the unchecked proliferation of AI in critical care settings, advocating for a more human-centered approach to scheduling and patient management.
