Healthcare technology is evolving with numerous technological solutions. One such technological solution for physicians is AI copilots for healthcare. These copilots help doctors and nurses work better and faster. This is why most hospitals and clinics are jumping on the AI bandwagon in 2025.
The clinical AI copilots work as smart assistants. They not only listen to doctor visits but also help physicians in making clinical decisions, among other things. It's like having an extra team member who works 24/7, but doesn’t get burnt out.
Here are some of the things that these clinical AI Copilots can do for healthcare:
Automatically update patient information or schedule follow-ups.
Write visit notes automatically (no more late-night typing!).
Check patient records super fast.
Remind doctors about important health details.
Assist in determining why patients may be ill.
Simplify appointment scheduling process.
This leads to more bandwidth for physicians to interact with patients, letting physicians provide better treatment to patients.
Let's dive into the best AI copilots in healthcare.
1. Innovaccer’s Provider Copilot
Developed by Innovaccer specifically for providers, Provider copilot is not only an AI documentation tool for clinicians, it also integrates with existing systems to enable physicians to spend less time on other administrative work. This gives doctors more time to interact with patients, among other benefits. Provider Copilot is used by over 96,000 providers, including six of the top ten U.S. healthcare systems.
Features include:
Clinical Note Writing: Records, reviews, and creates notes from talks between doctors and patients.
Diagnosis Help: Suggests possible health issues based on notes and patient data from the Innovaccer platform.
Quick Patient Review: Gives doctors a short summary of patient records before each visit for fast review.
Quality Check: Finds missing information and coding gaps to help doctors in value-based care programs deliver better care.
Easy EHR Access: Shows insights directly in the Cerner system with no extra clicks needed.
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Launched in 2023 by Nuance Communications, a Microsoft company, DAX Copilot is embedded in Epic and is the result of a partnership between Microsoft, Nuance, and Epic.
Features include:
Record visits: The app records conversations between doctors, patients, and families so that doctors can focus completely on their patients instead of taking notes.
Takes notes: It turns recorded conversations into medical notes right away. The notes go straight into the computer system and can be edited, if required.
High quality output: It is trained on over 10M+ patient-doctor interactions to produce accurate documentation.
Works with many EHRs: It connects with over 200 hospital computer systems and is easy to set up at most places.
Customisable templates: Allows you to set up your own note templates.
3. Google MedLM (Med PaLM APIs)
In late 2023, Google launched MedLM following its early work on medically-tuned large language models (LLMs) with Med-PaLM in 2022 and 2023.
Features include:
Accuracy: Gives accurate answers to various medical questions.
Trusted Sources: Leverages retrieval-augmented generation for accurate responses.
Transparency: Gives reasons for answers to establish trust.
Research-Driven Clinical Applications: Aims at decision support, patient education, and training.
4. Hippocratic AI
Hippocratic AI was launched in 2023 with the intention of closing the gap on the worldwide healthcare staffing shortage.
Features include:
Patient intake: Completes patient intake, EHR workflows, insurance questions, and compliance forms.
Shows benefits: Interprets and accurately quotes policy documents, simplifying insurance communication for patients, payers, and providers.
Complex Scheduling: Ability to schedule complex appointment scenarios with a high level of accuracy. Additionally, our model can differentiate between urgent versus standard appointments.
5. AWS HealthScribe
AWS HealthScribe was launched in 2023 to help healthcare application builders automatically create preliminary clinical documentation from patient-clinician conversations.
Features include:
Boosts efficiency: Record patient conversations, create draft medical notes, and pull out key details that help doctors quickly review important parts of visits and easily approve, change, or reject AI suggestions.
Accuracy: Every AI-written summary includes links back to the original conversation. This makes it simple for doctors or staff to double-check accuracy and see where each detail came from.
Save setup time: Implementation is easier with an integrated conversation and an AI system built specifically for healthcare needs.
Evaluation Criteria to Choose the Best Clinical AI Copilots
Before making any decision, it takes certain evaluations and considerations. To select the best clinical AI tools, you can consider factors like:
Healthcare AI Evaluation Criteria
Criteria
Description
Clinical Utility
Impact on patient care and decision-making
Evidence-Based Recommendations
Real-time, literature-backed diagnostic and treatment suggestions
Predictive Analytics
Outcome and risk prediction for preventive care
Diagnostic Assistance
Support for faster, accurate diagnosis
Data Quality and Integration
Handling of data quality, compatibility with healthcare systems
Usability and Implementation
Workflow fit, user acceptance, organizational readiness
Conclusion
Innovaccer's Provider Copilot is unique because of its seamless integration, real-time documentation, evidence-based care protocols, strict data privacy, and proven improvements in efficiency and patient engagement. These benefits make it an attractive option for healthcare organizations looking to alleviate administrative burdens and streamline care delivery without interfering with current workflows.
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