Clinical practice guidelines are clear instructions based on research that help healthcare workers pick the best treatments for patients. When these guidelines are built into AI systems that work with Electronic Health Records (EHRs), doctors get quick access to the latest advice while working.
One example is Tempus One. It includes guidelines from the American Society of Clinical Oncology (ASCO) inside its AI helper. This tool helps cancer doctors by combining trusted guidelines with up-to-date patient information from tests like molecular and imaging records. This way, doctors do not have to read through guidelines themselves during visits.
Using embedded guidelines saves doctors time because they don’t have to look through lots of medical papers or databases, which can take a long time and cause different treatments. Instead, the system shows guideline-based suggestions right when doctors make treatment choices. This helps keep treatments in line with national standards.
Ryan Fukushima, COO of Tempus AI, says this system changes how doctors work. Before, doctors spent a lot of time searching for information. Now, AI connects data from different sources to give useful advice fast. This stops delays in decisions and helps doctors feel sure about treatments.
For clinic leaders and IT managers, AI tools do more than help with medical choices. They also make office work easier. Healthcare involves many tasks like scheduling, entering data, processing claims, and paperwork. These take a lot of staff time.
AI systems use technologies like Natural Language Processing (NLP) and machine learning to answer patient calls, handle scheduling, and help with patient sorting. For example, AI answering services work 24/7, so patients do not have to wait long. This reduces mistakes and helps patients get help faster.
Automation of routine tasks like communication and paperwork lowers staff work and costs. Tools like Microsoft’s Dragon Copilot automate clinical notes, referral letters, and after-visit summaries. This gives doctors and staff more time to care for patients instead of doing paperwork.
AI assistants can also be customized using generative AI tools (such as Tempus’ Agent Builder). These AI helpers create patient summaries and notes that fit a clinic’s usual methods. This makes work more consistent, cuts errors, and speeds up data entry in EHRs, improving paperwork processes.
Professional groups work on these problems. For example, the American College of Surgeons helps check clinical algorithms and keeps AI tools affordable and fitting doctor workflows. Clear AI design, listening to user feedback, and good training can help doctors trust and use AI well.
AI tools can combine large amounts of different types of data, like patient history, genes, biomarkers, and images. This helps make treatment plans that fit each person better. Using data from millions of patients, AI finds patterns and predicts how diseases might progress or how well treatments will work.
This data-based method helps doctors choose therapies that match each patient’s unique features. This moves care closer to the idea of precision medicine. AI keeps learning as new data comes in, so treatment suggestions stay updated with the newest medical knowledge and research.
Personalized medicine using AI can improve patient results. It helps avoid treatments that do not work well, lowers bad side effects, and matches patients with suitable clinical trials. For example, using AI with cancer care shows how combining clinical rules and patient data leads to better choices.
Recent surveys show that more U.S. doctors are using AI tools. By 2025, about 66% of doctors may use health-AI tools, up from 38% in 2023. Most—68%—say AI helps patient care. This shows doctors are getting more comfortable trusting AI as it gets better and more important.
AI also helps in mental health care. It does tasks like patient sorting and initial checks using chatbots and virtual helpers. Though human care and feelings are still needed, AI takes care of simple tasks that might slow down treatment.
Programs in places like India use AI to improve cancer screening. This shows AI can help give more people access to good care. In the U.S., small or less-rich clinics could use similar AI tools to keep good care by including guideline-based AI in their work.
Following these ideas helps clinics improve medical decisions and clinic operations. This benefits patients and healthcare workers alike.
By including clinical practice guidelines in AI systems, medical clinics in the U.S. can provide clearer, evidence-based, and personalized care. At the same time, they can manage growing office work better. This matches ongoing progress in healthcare technology and data use that shape the future of medical care and patient involvement.
Tempus One is an AI-enabled clinical assistant integrated directly into electronic health record (EHR) systems. It supports clinicians by querying patient data, providing AI-driven insights, and streamlining workflow across the clinical care process, particularly in oncology and other specialties.
Tempus One incorporates ASCO’s clinical practice guidelines, providing physicians with evidence-based treatment and care recommendations. This ensures up-to-date, personalized patient care by embedding authoritative guidelines directly into the AI assistant’s functionality.
During appointments, Tempus One transcribes conversations, takes intelligent notes, and highlights critical information. This enables physicians to concentrate on patient care while the AI manages documentation and relevant clinical details in real-time.
Post-appointment, Tempus One assists with documentation, treatment planning aligned with updated guidelines, preparing prior authorizations, and matching patients to relevant clinical trials, thereby enhancing efficiency and clinical decision-making.
Agent Builder is a generative AI tool used to create custom AI agents tailored to provider needs. These agents automate workflow tasks such as generating patient overviews and notes, integrating with institutional SOPs and data for seamless EHR inclusion.
Tempus One summarizes patient history, treatment journey, and biomarker statuses, ensuring physicians arrive well-informed and ready to make personalized clinical decisions during appointments.
Tempus One aggregates real-time clinical, molecular, and imaging data from millions of patients into an accessible format. This rich data integration enhances AI-driven insights to support precision medicine and individualized treatment plans.
By automating documentation, authorizations, note-taking, and clinical trial matching, Tempus One reduces time spent on administrative tasks, relieving physician workload and improving care efficiency.
Tempus One targets rising healthcare costs, clinical complexity, and fragmented data systems by delivering actionable real-time insights and automating workflows to boost physician productivity and patient care quality.
Tempus uses one of the world’s largest multimodal data libraries combined with AI to provide physicians with precision medicine tools that learn and improve over time, enhancing personalized treatment and clinical research outcomes.
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