US: HCA nurses tell WIRED its AI scheduling tool overrode their shift requests and scheduled them on requested days off; one delayed a medical appointment
Nurses at HCA Healthcare, the largest US hospital chain, told WIRED, in an article published on 2 October 2026, that Timpani, an AI scheduling tool HCA co-developed with Palantir and has rolled out at about 130 of its 190 locations, assigns shifts that ignore their requests. A Florida critical care nurse said that over four months the tool gave her different shifts for more than half of the 50 she requested, often back-to-back days that left her mentally drained. A Missouri nurse said essentially every nurse at their facility had been assigned to work on a requested day off, and that they delayed a long-planned doctor's appointment for a chronic condition after struggling to trade such a day. HCA says nursing leaders, not Timpani, make final scheduling decisions and that the tool schedules nurses on about 1 percent of requested days off.
- AI system
- Timpani
- Occurred
- Event date unknown
- Reported
- 2 October 2026
- Event location
- United States
- What the AI did
- Made a decision about the person · Informed a human decision about the person
- Reported harm
- Loss of AutonomyPsychological DistressTreatment Disruption
- Whose AI use
- An institution’s AI use
- Setting
- Work · Health
- Evidence
- AI involvement reported · Causal attribution alleged · 1 source
- 4 claims: 4 reported. 3 open questions
- People reported harmed
- At least 2 people
AI system as recorded: Timpani, an AI scheduling tool co-developed by HCA Healthcare and Palantir on Palantir Foundry, which uses algorithmic forecasts of patient volumes and staffing needs to build nursing schedules automatically
What Happened
The tool. According to WIRED, HCA has rolled out Timpani, an AI scheduling tool co-developed with Palantir, at roughly 130 of its 190 locations since 2023. It uses algorithmic forecasts of patient volumes and staffing needs to build nursing schedules automatically. HCA's innovation executive wrote in July that the efficiency comes from AI generating stronger initial schedules. Nurses told WIRED that managers formerly scheduled by hand, that appeals now go to a central team in Nashville and that shift swaps succeed about half the time.
The nurses' accounts. Amber Retzloff, a Florida critical care nurse and union leader, said that over the past four months she requested 50 specific 12-hour shifts and that over half the time the software assigned her different ones, often back-to-back days that left her mentally drained. She also described shifts where she was the only senior nurse and had to delay care for the sickest patients to guide junior colleagues. Lee Barker, a nurse and union leader at an HCA psychiatric centre in Missouri, said essentially every nurse there had been assigned to work on a requested day off, and that Barker delayed a long-planned doctor's appointment for a chronic condition after struggling to trade such a day. Five nurses at other locations described similar problems.
HCA's position. An HCA spokesperson said nursing leaders, not Timpani, make final scheduling decisions and that claims the tool is designed to reduce staffing at the expense of patient care misrepresent it. HCA says Timpani schedules nurses on 1 percent of requested days off on average. Palantir has said that customers are responsible for the data, policies and decision-making.
Limits. The accounts come from interviews with nurses who are union leaders; WIRED does not report checking their schedules. Patient effects are the nurses' concerns and are not counted here.
Reported harm
According to the nurses interviewed by WIRED, the AI scheduling tool repeatedly assigned a Florida nurse shifts she had not requested, often back-to-back days that left her mentally drained, and assigned a Missouri nurse to work on a requested day off, leading Barker to delay a doctor's appointment for a chronic condition. HCA says managers make final decisions.
Outcome
OngoingAccording to WIRED, the union of about 500 nurses at the Missouri psychiatric centre filed a grievance over the software that is likely headed to arbitration, and National Nurses United says HCA rejected its requests for information about the tool. HCA says it continues to improve Timpani based on nurses' feedback.
What remains unknown
- The dates of the specific assignments described; WIRED reports the four months before its October 2026 article for the Florida nurse.
- Whether managers reviewed or edited the specific schedules the nurses describe.
- The outcome of the Missouri union grievance.
What the evidence supports
AI involvement: reported. WIRED describes Timpani as an AI scheduling tool that builds nursing schedules automatically from algorithmic forecasts of patient volumes and staffing, and quotes HCA's innovation executive writing that its efficiency comes from AI generating stronger initial schedules, which distinguishes it from ordinary rota software by the operator's own account. The nurses say the tool assigned them shifts and days off against their requests, with the consequences they describe. HCA says nursing leaders make the final decisions, so the allocation is recorded both as the tool's decision (nurses' account) and as an AI output informing managers' decisions (HCA's account).
4 claims: 4 reported. What the statuses mean
Reported HCA co-developed Timpani with Palantir as an AI scheduling tool, has rolled it out at roughly 130 of 190 locations since 2023, and uses it to build nursing schedules automatically from algorithmic forecasts; an HCA executive wrote that its efficiency comes from AI generating stronger initial schedules.
Causal attribution. WIRED's description and the executive's paper as quoted; this establishes the AI scheduling role.
- wired.com(opens in new tab) supports · English
'Since 2023, HCA has rolled out an AI scheduling tool it co-developed with Palantir called Timpani at roughly 130 of its 190 locations.'; 'it uses algorithmic forecasts of patient volumes and staffing needs to automatically build nursing schedules'; 'The efficiency comes from AI generating stronger initial schedules,'
Reported A Florida critical care nurse said that over four months the scheduling software assigned her different shifts for over half of the 50 she requested, often back-to-back days that left her mentally drained.
Causal attribution. The nurse's own account to WIRED.
- wired.com(opens in new tab) supports · English
'Over the past four months, Amber Retzloff, a critical care nurse in Florida, requested to work 50 specific 12-hour shifts. But over half the time, she says her hospital'; 'Palantir-powered scheduling software assigned her to different shifts, often putting her on back-to-back-to-back days and leaving her mentally drained.'
Reported A Missouri nurse said the tool assigned essentially every nurse at the facility to work a requested day off, and that the nurse delayed a long-planned doctor's appointment for a chronic condition after struggling to trade such a day.
Causal attribution. The nurse's own account to WIRED.
- wired.com(opens in new tab) supports · English
'Barker says now essentially every nurse has been assigned to work on a day they were supposed to be off. Barker delayed a long-planned doctor'; 'appointment for a chronic condition after struggling to trade an assigned red day.'
Reported HCA says nursing leaders, not Timpani, make final scheduling decisions, that the tool schedules nurses on 1 percent of requested days off on average, and that it keeps improving the tool on nurses' feedback.
Causal attribution. HCA's statements, preserved as counterevidence on who decides.
- wired.com(opens in new tab) supports · English
'says that nursing leaders, not Timpani, make final scheduling decisions'; 'On average, Timpani schedules nurses for 1 percent of their requested days off, or what are known as red days, according to HCA.'
Sources
1 source inspected. Sources that repeat one account do not corroborate each other.
- WIRED, 2 October 2026: AI is making a mess of nurses' schedules(opens in new tab)
s1 · wired.com · News report · English · Inspected · 2 October 2026 · Primary
How the sources were read, and where the events happened
Read in full in English on 2026-10-13 (HTTP 200); no translation. WIRED reports interviews with nurses, HCA's and Palantir's statements and an HCA executive's paper. Applies to s1.
Event countries: United States. Affected-person countries: United States. Court countries: Unknown.
WIRED places the nurses at HCA hospitals in Florida and Missouri, United States.
Reviewed for publication 2026-10-13: Published under the approved AI workforce-scheduling class: two named nurses told WIRED that HCA's AI scheduling tool, which builds schedules automatically, assigned them shifts and a requested day off against their preferences, with exhaustion and a delayed medical appointment as consequences. HCA disputes that the tool makes final decisions.
People described
Two named HCA nurses who are National Nurses United union leaders and spoke to WIRED: a critical care nurse in Florida and a nurse at a psychiatric centre in Missouri. Other nurses describe similar problems without specific consequences.
People reported harmed in this case
At least 2 people
0 AI participants · 2 other people harmed
Additional affected people are described without a reliable count.
Two counted: the Florida and Missouri nurses who describe specific consequences. Barker says essentially every nurse at the Missouri centre was assigned a requested day off, and five other nurses describe problems, but no further count with a stated consequence is given; patients are not counted.
Counted once within this case. The same person may appear in other cases. This count does not establish AI causation.
Cite this case
Compiled per our published methodology: verification statuses, sourcing standards, and corrections process.
APA
NOPE. (2026). US: HCA nurses tell WIRED its AI scheduling tool overrode their shift requests and scheduled them on requested days off; one delayed a medical appointment. AI incidents. https://nope.net/incidents/2026-us-hospital-nurses-say-ai-scheduling-tool-overrode-shift-requests-and-assigned-days-off
BibTeX
@misc{2026_us_hospital_nurses_say_ai_scheduling_tool_overrode_shift_requests_and_assigned_days_off,
title = {US: HCA nurses tell WIRED its AI scheduling tool overrode their shift requests and scheduled them on requested days off; one delayed a medical appointment},
author = {NOPE},
year = {2026},
howpublished = {AI incidents},
url = {https://nope.net/incidents/2026-us-hospital-nurses-say-ai-scheduling-tool-overrode-shift-requests-and-assigned-days-off}
} Related cases
Tennessee grandmother Angela Lipps jailed five months on an AI facial-recognition misidentification; charges dismissed after bank records placed her 1,200 miles away
On 14 July 2025, U.S. Marshals arrested Angela Lipps, a 50-year-old Tennessee grandmother, at gunpoint at her home while she was babysitting four children, on a nationwide-extradition North Dakota warrant: West Fargo police's AI facial-recognition technology had tied her to bank-fraud surveillance of a woman using a fake U.S. Army military ID to withdraw tens of thousands of dollars. She fought extradition for about three months in a Tennessee jail, was booked into Cass County, North Dakota on 30 October 2025 on four counts of unauthorized use of personal identifying information and four counts of theft, and was released on 24 December after her bank records showed her more than 1,200 miles away in Tennessee; charges were dismissed without prejudice. Fargo's police chief acknowledged 'incorrect assumptions' linked to the AI identification; an email obtained by KVLY shows six Fargo detectives were notified of her arrest in July, nearly five months before the department says it knew she was in custody. She lost her home, her car and her dog; her attorneys are pursuing potential civil-rights claims, with no lawsuit filed as of 31 March 2026. On 15 September 2026 she filed a $10 million federal civil-rights suit in the District of North Dakota against the City of Fargo and the detective, alleging he relied on a flawed facial-recognition match and ignored exculpatory evidence.
Phoenix lawsuit alleges a facial-recognition lead contributed to a wrongful arrest
Javier Lorenzano Nunez was arrested in October 2024 for the 1998 murder of Sarah Carr after investigators ran the old suspect's MVD photo through facial recognition databases, got 250 possible matches and zeroed in on him — with Phoenix police publicizing the arrest in a press release and a special video. Charges were dismissed without prejudice in August 2025 after forensic evidence, including DNA and fingerprints, excluded him. His lawsuit alleges Phoenix police knew from a 2017 fingerprint analysis that his prints did not match, and ignored a 2007 Puerto Rico lead on the original suspect with the same name, date of birth and social security number. He spent nearly a year in jail. The federal suit against the Phoenix Police Department and the Maricopa County Attorney's Office alleges gross negligence, false arrest, false imprisonment and defamation.
United States: seven people who say they had no Otter account allege its AI Notetaker recorded calls without consent; a judge let core privacy claims proceed
Seven people in California, Illinois and Washington state are suing Otter.ai in a consolidated class action in the Northern District of California. Each says another meeting participant used Otter's AI Notetaker on a Zoom or Microsoft Teams call they joined, and that Otter recorded, transcribed and stored their conversation without their consent; six of them date their calls between March 2024 and May 2025. They say they were not Otter account holders. The calls they describe include a medical consultation, meetings with a financial professional and work discussions. They allege that Otter keeps the recordings and uses them to train its speech-recognition models, that it captured voiceprints of the Illinois plaintiffs, and one of them says learning of the recording left him frustrated, embarrassed and stressed. On 13 August 2026 the court found that the alleged interception of private conversations was a concrete injury and let the federal wiretap, California eavesdropping and Illinois biometric claims proceed, while dismissing some claims. Otter's answer to the consolidated complaint, filed on 17 September 2026, says it lacks knowledge of the plaintiffs' experiences and denies the allegations.
Case report: woman in her mid-20s with anxiety came to rely on ChatGPT for reassurance and decisions, reported lost confidence in her judgment (JMIR Form Res)
A psychiatrist's case report in JMIR Formative Research (published online 16 September 2026) describes a woman in her mid-20s with generalised anxiety disorder and major depressive disorder who began using ChatGPT at work in summer 2024 and over the next two years increasingly turned to it when she felt uncertain: to draft and re-check emails and personal messages, interpret partners' texts, predict outcomes such as graduate-school admissions and a breakup, and make decisions. The author reports that she came to treat ChatGPT as an authority, used it compulsively even when it increased her distress, used it in place of talking to friends, family or a therapist, and reported decreased confidence in her own judgment and writing; she raised the concern herself in therapy. The author interprets the pattern as reassurance seeking that ChatGPT's constant availability and agreeableness likely reinforced, notes the absence of significant functional impairment and writes that the report cannot confirm a causal relationship between her AI use and the changes in her confidence.
If you or someone you know is struggling, free and confidential support is available. Find a helpline near you at Signpost.