In precision medicine, doctors use different kinds of data to give the best treatments for each patient. This includes clinical information like medical histories, lab tests, and treatment records, as well as molecular data from genetic tests, and images from tools like MRI scans and PET scans. Putting these different types of data together is called “multimodal data.”
A big problem in healthcare is that patient data is often kept in separate systems. Clinical, molecular, and imaging data usually are stored apart and often in ways that do not work well together. AI technology now helps combine these different data types so doctors can see all patient information in one place right away. This helps doctors find the right diagnosis sooner and create treatment plans for complicated diseases like cancer and brain disorders.
Tempus AI, Inc., a healthcare AI company, has made tools that show how to combine multimodal data inside Electronic Health Record (EHR) systems. Their platform looks at clinical, molecular, and imaging data from millions of patients to provide useful information for doctors. This is very important for handling the complex needs of patient care.
EHRs hold most patient data, but doctors often get overwhelmed by information. They spend a lot of time searching notes, records, and meeting regulations. AI clinical assistants inside EHRs try to help reduce this workload.
Tempus One is an AI clinical assistant built right into EHR platforms. It helps doctors by finding patient data and making sense of complicated information. This is very helpful in cancer care, where following strict treatment rules matters and patient data changes often.
Key things Tempus One does include:
This tool helps doctors spend less time on paperwork and more time caring for patients.
AI helps more than just medical decisions. It also automates regular office tasks that slow down care. For example, Tempus’ Agent Builder GenAI tool allows hospitals to create AI helpers made for their specific work routines. These AI helpers can automatically write patient summaries, clinical notes, and prepare documents before visits.
Tempus uses over 1,000 of these AI helpers in its system. Some hospitals can adopt their own custom AI helpers that match their rules and processes. This makes integrating AI easier for them.
For hospital leaders and IT managers, using AI for routine tasks has many benefits:
Using AI to automate workflows helps lower healthcare costs and deals with doctor shortages by making operations run better.
Precision medicine needs not only patient data but also up-to-date treatment rules. The American Society of Clinical Oncology (ASCO) guidelines set widely accepted cancer treatment protocols.
Tempus One builds these clinical guidelines right into its AI assistant. This lets cancer doctors get evidence-based advice while working in the EHR. Doctors don’t have to look up guidelines separately. This connection helps make sure:
This way of putting official clinical guidelines inside AI tools can also work in other medical fields to support personalized care.
One major progress in healthcare is AI’s use in reading medical images. Images like MRI and PET scans contain important information about diseases.
AI programs can read these images faster and sometimes more accurately than people. For brain and psychiatric disorders, diagnosis is hard because symptoms and causes vary a lot. AI that combines different image types can help detect these problems earlier, give better diagnoses, and create better treatment plans.
Researchers Weijie Huang and Ni Shu say AI that works with different image types improves how doctors predict and understand brain disorders. These AI tools combine various imaging results to give a full view of brain health, leading to more personal treatment.
Healthcare groups in the U.S. that start using such AI imaging tools may see better clinical decisions and better ways to classify patients with complex disorders.
AI-based precision medicine is now common in U.S. healthcare systems, with Tempus playing a key role. More than 65% of academic medical centers in the U.S. use Tempus technology, including tools for cancer treatment. Over half of U.S. cancer doctors use Tempus for genetic testing, clinical trials, and research.
Pharmaceutical companies also work closely with Tempus. About 95% of the top 20 companies in cancer drugs team up with Tempus to develop targeted treatments using integrated data. There are over 250 partnerships with biopharma companies, showing how much the industry relies on big data and AI for research and drug development.
Data size supports these advances. Tempus manages more than 40 million patient records without personal details, including imaging and molecular data adding up to over 350 petabytes. These huge datasets help AI programs learn and get better, which improves precision medicine tools over time.
For healthcare leaders and IT staff, understanding these partnerships is important. It gives chances to join research networks, use new diagnostics, and improve patient care by using AI platforms connected to large national and global data sources.
As AI healthcare tools develop quickly, government approval is needed to make sure they are safe and work well. Tempus has received FDA 510(k) clearance for its AI ECG-Low EF software, which identifies patients with low heart pumping ability, a sign of heart failure risk.
This approval shows AI tools can meet strict rules for clinical use. When U.S. healthcare providers use FDA-approved AI, they lower risks and feel confident about the tool’s accuracy.
Northwestern Medicine added Tempus’ AI clinical co-pilot called “David” into its EHR system. This tool helps doctors by integrating AI right into their clinical work and assists with data understanding and decisions. Early use by major hospitals shows growing trust in AI for everyday patient care.
Hospital leaders who want to improve how they diagnose patients and plan treatments should consider AI tools that have regulatory approval. This supports risk management and quality improvements.
Medical practice managers, owners, and IT teams in the U.S. face challenges in updating their systems and work processes. Using AI-powered EHRs that combine many types of data needs careful planning:
Using AI well can improve patient care and lower costs by cutting paperwork and making treatments more accurate.
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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