Controversy Erupts as Doctor Uses AI for Emergency Room Discharge Summary

A screenshot posted in a public social media group recently ignited a heated debate, suggesting that an emergency room (ER) doctor utilized artificial intelligence (AI) to generate a patient’s discharge summary. The comment section quickly flared up, largely due to a lack of understanding regarding standard medical procedures and the broader context of AI in healthcare. We decided to investigate the matter further by reaching out to the hospital for their official statement.

ChatGPT in an ER Discharge Summary: The Hospital’s Response

The Incident Confirmed, AI’s Role Clarified

Let’s begin with the facts. The shared document indeed showed traces of AI usage. A segment, which appeared to be a draft response generated by an algorithm, was highlighted within a black frame by the anonymous user. This specific fragment was not intended for the final version of the discharge summary.

The authenticity of the document was confirmed by the Provincial Children’s Hospital in Bydgoszcz, Poland, to whom we submitted our inquiry. Their response indicated that a resident doctor prepared the discharge summary, and ChatGPT was exclusively used for linguistic correction of the text. Crucially, the hospital emphasized that the AI model had no access to the patient’s data or any information that could lead to their identification.

Official Statement from the Hospital

In response to questions submitted on March 18, 2026, the hospital’s management provided the following clarification:

“We confirm the authenticity of the document—the information card from the admissions department of the Provincial Children’s Hospital in Bydgoszcz.

Based on the information gathered, the ChatGPT tool was not used for diagnosis or to develop a treatment plan. The patient was consulted by a pediatric surgeon, whose recommendations were incorporated into the information card.

The resident doctor preparing the entry, both for the subjective and objective examination, used the medical documentation forms applicable in the hospital. The tool was used to edit three sentences of the patient history for linguistic correction purposes only. No sensitive patient data was entered during this process.

Currently, the hospital does not use AI tools for diagnosing or treating patients. Diagnostic and therapeutic procedures are carried out based on applicable medical standards. Digital tools supporting staff work, including those utilizing AI solutions, will be implemented along with procedures regulating oversight principles and the scope of their use as part of the hospital’s project ‘Acceleration of Digital Transformation Processes in Healthcare through Further Development of Digital Services in Healthcare,’ co-financed by the European Union under the National Recovery Plan.”

The Future of AI in Healthcare: Support, Not Replacement

Understanding the “Digital Transformation of Healthcare” Project

What exactly does the hospital’s referenced project entail? Its guidelines are publicly available on official government websites, outlining the strategic direction for public healthcare. In essence, it aims to:

• Transition from paper-based documentation to a unified, digital information flow.
• Integrate hospital systems with central databases.
• Ensure medical documentation (e.g., hospital discharge summaries since 2023) is created, stored, and analyzed electronically.

The project also includes specific investments in equipment and services needed for AI solutions, development of IT systems (including integration with new Electronic Medical Documentation (EDM) systems), and strengthening cybersecurity in hospitals. The goal is for AI to support the optimization of processes, staff work organization, and documentation creation.

Crucially, the regulatory documents for this project explicitly state that new technologies must be implemented under strict supervision and within defined procedures, especially concerning data security and accountability for medical decisions. In other words, AI is intended to support the healthcare system, not replace medical professionals.

Addressing Public Concerns and Misconceptions

Some internet users accused the hospital of allowing AI to “assist in treatment,” a claim the facility categorically denies. The hospital reiterated that the AI tool was used exclusively for linguistic correction and not for medical decision-making.

Many negative comments stemmed from fears that the patient’s private data might have been fed into the AI model. Other concerns questioned the doctor’s competence in preparing a discharge summary. Both of these assumptions are currently unfounded. The hospital confirmed the entry’s authenticity, stressing that the AI tool was used only for linguistic refinement, and referred to the aforementioned project which clearly permits the automation of certain processes.

The Realities of Emergency Care

It’s important not to overlook the challenging realities of working in healthcare. Despite attractive remuneration packages, often exceeding tens of thousands of dollars per month (over 100,000 Polish Złoty), doctors are often reluctant to work in emergency departments. The issue isn’t solely financial but also the demanding conditions, primarily the immense psychological and physical burden.

According to national medical professional bodies, out of 144 available specialization slots in emergency medicine, only 22 doctors applied. Meanwhile, approximately 250 emergency departments across Poland handle over 4 million patients annually. This means a single department often sees more than 100 patients daily, with a persistent shortage of specialists.

Therefore, dismissing the use of an AI tool for linguistic correction as “laziness” or a lack of competence would be a significant oversight. Instead, it reflects a broader systemic issue where healthcare operates at its capacity limits and increasingly turns to technology to alleviate staff burden for simpler, routine tasks.

AI in Medicine: An Inevitable Adaptation

Discussions about AI in medicine are not new, but they are now gaining wider public attention. Until recently, this topic was largely confined to industry analyses and expert circles.

For instance, a study titled “The Use of AI Tools in Medical Facilities,” conducted in autumn 2025 on behalf of Docplanner (a global healthcare platform), revealed that while AI is still in its early stages of implementation, changes are coming and appear to be inevitable.

• Only 9% of medical facilities surveyed had decided to implement AI.
• However, 40% stated their intention to explore its capabilities in the near future.
• Only a small percentage (8%) completely ruled out such a scenario.

When AI technology is implemented, it typically plays a supportive role. Most commonly, it assists doctors in creating medical documentation, gathers preliminary patient history before appointments, or automates administrative processes like scheduling and confirming appointments. It is less frequently used in diagnosis itself.

The most significant findings from the study, however, pertain not to the technology itself but to human reactions. Over 90% of doctors and specialists who use AI evaluate its impact on their work positively. They report that AI reduces their administrative burden and helps improve the quality of documentation. This, in turn, allows them to dedicate more time to patients, even if this isn’t always immediately apparent.

The incident involving the ER discharge summary is therefore not an isolated event but rather a component of a larger transformation. Patients will gradually need to adapt to this shift, as there are currently no indications that this technological progression will be reversed.

Source: Facebook, gov.pl, original research.

Opening photo: PixieMe, FotoDax / Adobe Stock / original montage

About Post Author

Deepak Malik

See author's posts