Clinical data, these days, has surpassed a level that any one clinician could easily process alone. Treatment guidelines change, drug dosing information changes, and patient care contains hundreds of data points across imaging, medications, and labs.
In their workflows, clinicians face pressure to make fast, accurate decisions based on medical evidence. While their training and education drive the final decision, they sometimes need reputable resources to guide them. That’s where AI clinical decision support is transforming modern healthcare workflows.
AI clinical decision support doesn’t replace a physician’s judgment. Instead, it helps them interpret all of that data, surface relevant information, and apply those findings to the appointment as they see fit. In this article, we’ll explore what that looks like and what clinicians should consider before they implement.
What Is AI Clinical Decision Support?
AI clinical decision support refers to software that uses artificial intelligence to guide clinicians in surfacing diagnostic and treatment information. These digital tools build on traditional clinical decision support systems and search engines, but introduce more advanced AI-driven data synthesis capabilities.
Clinical decision support is powered by machine learning and natural language processing. It can analyze large datasets in seconds, drawing on evidence-based, sometimes peer-reviewed, articles and guidelines. Users can input questions or prompts, and outputs may include:
- Diagnostic suggestions
- Treatment recommendations
- Drug monograph information and comparison charts
- Medical considerations
- Preventative care tips
And more. The goal is never to automate patient care, but to support clinical reasoning with data-driven insights.
Common Use Cases In Today’s Practices
While not all clinical decision support tools are the same, many support a few key use cases. A great tool covers a range of specialties and care settings. Common use cases include:
- Diagnostic support: AI quickly surfaces information from medical sources to answer diagnostic questions.
- Treatment optimization: Decision support tools can recommend personalized treatment plans grounded in clinical evidence across almost any specialty.
- Drug dosing and safety: These tools flag dosage risks, drug interactions, and potential allergy conflicts.
- Communication and documentation support: Clinical decision support tools can also draft referral letters or handoff notes, making communication and patient care seamless between all healthcare providers.
Ultimately, across use cases, AI clinical decision support tools reduce administrative burden and allow physicians to focus on in-person care.
Benefits Of AI Clinical Decision Support
Right from the first experience with it, the benefits of AI clinical decision support feel small but handy. When integrating the tool into their workflows, clinicians find it speeds up manual processes such as documentation, research, and charting, and shortens their to-do lists.
These benefits create a ripple effect, and users will soon find they’re saving time drafting documents, reviewing charts, and searching for clinical information. This reduces the administrative burden and frees up more time for patient care and big-picture administrative work. All in all, it means less clinician burnout.
Patients also benefit from their healthcare providers' use of AI clinical decision support. They could potentially experience earlier interventions and more tailored treatment plans. The biggest benefit for patients, however, is the dedicated time and personalized care they get back from their provider at every appointment.
Limitations And Considerations
Despite technological advances, AI clinical decision support also introduces challenges that healthcare professionals must consider. Here’s what to keep in mind:
- Data bias: Algorithms trained on public or nonrepresentative datasets may produce less accurate recommendations, leading to issues with treatment decisions.
- Explainability: Some AI clinical decision support tools are black-boxed, meaning users cannot discern how recommendations are generated or their sources.
- Workflow and onboarding: Overly complex clinical decision support tools can take most clinicians time to learn and integrate into their workflows. This means there’s more administrative burden out of the box, and seeing the ROI from the tool could take months.
Other limitations could include failure to meet regulatory requirements such as HIPAA, patient privacy concerns, and software and implementation costs. This is why clinician oversight is essential. AI support tools must always be interpreted within a broader clinical context.
The Future Of AI Clinical Decision Support
As administrative duties grow, the next wave of AI support is already taking shape in healthcare. What remains consistent is the physician's role. AI clinical decision support will never replace medical judgment. It will strengthen and potentially simplify the process of turning medical evidence into insight, but doctors' expertise won’t be going anywhere.
About Doximity
Doximity is a key player in the AI healthcare space. It’s a trusted, HIPAA-compliant workflow assistant serving as a guide for clinicians across the U.S. DoxGPT produces outputs based on medical research, often from peer-reviewed articles, in response to user prompts. Doximity Scribe is an AI-powered scribe tool that records patient interactions and provides a clear summary of the visit before discarding the raw recording. Doximity also remains accessible and free for healthcare professionals.
Doximity Dialer connects doctors to patients by text, phone, and video, any time and always for free. All while keeping the doctor’s personal phone number private. This allows healthcare professionals and patients to connect securely. Clinicians can also use Doximity Scribe directly within Dialer, creating a seamless physician-patient experience for all.
Over 85% of doctors in the U.S. are already registered Doximity members, and signing up is as simple as creating an account with your healthcare credentials. Try Doximity today.