- 86% of healthcare employees have implemented AI-powered tools in their practice.
- Due to the increased efficiency resulting from AI implementation, 26% of healthcare employees are able to spend more time with patients.
- 29% of healthcare employees feel pressured to adopt AI tools even if they don’t feel ready to do so.
- If proven to be highly accurate, more than 1 in 10 patients (11%) would trust an AI-driven system to diagnose a medical condition without a doctor’s involvement.
Artificial intelligence is rapidly transforming healthcare, and private practices are feeling the impact. Tebra surveyed 203 healthcare employees and 801 patients to understand how providers are using AI-powered tools in care delivery, and how both groups are responding.
The findings reveal growing adoption and increased efficiency, but also highlight persistent concerns about trust, communication, and legal risk. For private practices, success with AI isn't just about smooth implementation — it's about earning buy-in from providers and patients alike.
| Insight | Stat | Implication |
| AI adoption among providers | 86% | AI is already mainstream in healthcare settings |
| Patients want AI transparency | 60% | Practices must proactively disclose AI use |
| Time savings = more patient care | 26% | AI creates space for stronger human connection |
| Legal & interpersonal concerns | 63% | Implementation needs more staff training & buy-in |
| Low patient trust in AI-only diagnosis | 11% | AI must be framed as assistive, not replacement |
| Perceived provider pressure to adopt AI | 29% | Highlights need for leadership guidance and onboarding |
Adoption, efficiency, and unease among providers
AI-powered tools are helping private practices reduce administrative strain, particularly clinical workflow optimization enabled by EHR technology and automated documentation.
But adoption hasn't been frictionless, and not everyone is on the same page.

A large majority of healthcare employees (86%) reported using AI-powered tools. Nurse practitioners led adoption rates at 96%, while nurses were the least likely group at 75%.
Public healthcare workers were slightly ahead of private practice peers in AI adoption (91% vs. 88%, respectively).

AI has helped reduce workloads for 57% of healthcare employees, but not all experiences have been the same. In private practices, 52% said AI eased their workload, but 21% said it added to it. Physicians were the most likely to benefit, with 80% reporting a lighter workload due to AI usage.
Among the tools used, AI-driven clinical documentation — often integrated directly into EHR systems — reduced workloads for the most healthcare employees (59%). Over half of workers (53%) also reported that using AI-driven electronic health record optimization lessened their loads.
The top metrics healthcare practices used to evaluate AI success included:
- Documentation quality
- Time saved per patient visit
- Patient satisfaction
All of these factors are key goals of practice management software supporting private practices and independent providers.

Over 1 in 4 healthcare employees (26%) said AI use has allowed them to spend more time with patients during visits. But that improvement also came with complications.
Many healthcare employees (63%) believed patients were misinformed about how AI works, and 56% said AI recommendations led to second-guessing from patients and healthcare peers.
Just over 1 in 5 (21%) have lost a patient after implementing AI, but only 10% said it was due to using AI.

Many healthcare employees (63%) were worried about legal risks from AI. However, 27% believed using AI in healthcare could lower liability by increasing accuracy.
Healthcare workers also reported:
- Peers or staff rejecting or working around AI tools (43%)
- Conflicts arising over differing opinions on AI adoption (39%)
- Feeling pressured to use AI before they were ready (29%)
- Rejecting or working around AI tools after implementation (25%)
Across all roles, the top concern with AI use was accuracy and potential for error (44%). Over a quarter (29%) believed AI's impact would be more beneficial than harmful, while 63% said it'll likely be a mix of positive and negative effects, depending on how providers use it.
To support staff through AI adoption, private practices should consider:
- Prioritizing training, transparency, and open communication
- Involving employees early in the implementation process
- Creating a safe space for staff feedback
Offering clear guidance on how AI tools work and how they support clinical decisions can also help reduce anxiety and build trust among team members.
What patients think about AI in healthcare
While private practices weigh the benefits and risks of AI, patients are forming their own opinions. Awareness, transparency, and human connection are key to maintaining patient trust.

Many patients have already experienced AI in healthcare, whether they realize it or not. Yet, only 36% believed AI played a role in their care, and just 6% were directly informed. Most figured it out through context clues or their own research.
Patients are most comfortable with AI when used for scheduling or appointment reminders (79%). Others (29%) agreed that AI makes healthcare more efficient, but they still prefer human decision-making.
Patient concerns and how to address them
Some patients expressed discomfort, with 1 in 5 Gen Zers saying they don't trust AI use in healthcare. While 22% of patients felt uneasy about AI use in healthcare, only 9% discussed it with their provider, and just 1% left their provider because of it. Still, there's clearly a need for better communication and transparency around AI use between many patients and providers.
To build trust and ease patient concerns about AI in healthcare, private practices can take these simple but effective steps:
- Be transparent about AI use during appointments, especially when it plays a role in care or decision-making.
- Explain how AI supports — but doesn't replace — provider expertise to reinforce the human element in patient care.
- Use everyday language when describing AI tools to make the technology feel approachable and easy to understand.
- Encourage questions and give patients space to express any concerns they have about AI or new technologies.
- Include information about AI tools in digital intake forms or patient education materials to open the door to conversation.
- Train staff to respond empathetically when patients express hesitation or mistrust about AI-driven tools or recommendations.
Honest and direct communication helps patients feel more confident in their care and more connected to their providers.

Patients want to be informed: 60% said they would prefer to know every time AI is used, even for administrative tasks.
The majority (72%) said their doctors had never mentioned AI during their care. Lack of communication may explain why 26% felt AI weakened their relationship with their provider. In contrast, 7% said it improved their connection due to increased efficiency.

Many patients (66%) said they would feel most comfortable knowing AI only assists and doesn't make final decisions. Others feared bias, with 36% worrying AI might treat patients unfairly based on race, age, or income.
While 11% said they would trust AI alone to diagnose a condition, only 14% saw AI use as entirely positive. Most patients (58%) believed its impact would depend on how practices use it, and 23% saw it as a potential risk to care quality.
The path forward for private practices
Navigating AI in private practice means balancing innovation with empathy and efficiency with communication. The results of Tebra's survey show that while AI tools are already making a difference, especially in easing provider workloads, success depends on thoughtful implementation.
To ensure smoother transitions, private practices should involve staff early in the AI adoption process, especially when rolling out workflow technologies with AI-powered features embedded in EHR software or automated systems.
Educating patients about how AI supports but doesn't replace human decision-making can help. Openness about AI use, supported by digital tools like automated messaging, appointment scheduling, and documentation alerts, reinforces trust and helps strengthen patient relationships.
Clear, ongoing communication, both internal and external, will be key to making AI in private practice a success.
Methodology
Tebra surveyed 203 healthcare professionals and 801 Americans about AI in healthcare, specifically for use with patients. Among healthcare professionals, 66% work in a public healthcare setting, 16% work in a private practice, 6% work in an outpatient clinic, 5% work for a corporate entity, and 7% work in another environment.
About Tebra
Tebra, headquartered in Southern California, empowers independent healthcare practices with cutting-edge AI and automation to drive growth, streamline care, and boost efficiency. Our all-in-one EHR and billing platform delivers everything you need to attract and engage your patients, including online scheduling, reputation management, and digital communications.
Inspired by "vertebrae," our name embodies our mission to be the backbone of healthcare success. With over 165,000 providers and 190 million patient records, Tebra is redefining healthcare through innovation and a commitment to customer success. We're not just optimizing operations — we're ensuring private practices thrive.
Fair use statement
This content may be shared for noncommercial purposes with proper attribution. If you use any insights from this article, please include a link back to Tebra.
- Current Version – Dec 15, 2025Written by: Jean LeeChanges: This article was updated to include the most relevant information available.
- Sep 16, 2025Written by: Jean LeeChanges: This article was updated to include the most relevant information available.
- May 12, 2025Written by: Jean LeeChanges: This article was updated to include the most relevant information available.





