AI-enabled assistants in healthcare are special software programs that use machine learning and other AI methods to help doctors and researchers look at lots of patient data. These systems handle multimodal data, which means they work with many kinds of information like medical images, clinical records, pathology reports, genetic profiles, and treatment histories. Putting together these different types of data helps the AI understand each patient’s health better.
One example of this technology is Tempus One, an AI assistant made by Tempus AI, Inc. It helps make decisions in precision medicine by analyzing both unstructured and structured data. Unstructured data includes things like doctor’s notes and pathology reports. Structured data includes coded entries like lab results and medicine lists. Tempus One uses a special Large Language Model (LLM) Agent Infrastructure to work through large amounts of data quickly, helping oncologists and other healthcare providers.
About 65% of Academic Medical Centers in the United States and over 50% of U.S. oncologists use AI platforms like Tempus. These centers and doctors use AI to support patient care, research, and clinical trials, showing how AI tools are becoming common in American healthcare.
Traditional healthcare data can be split up and hard to study all at once. AI assistants like Tempus One can collect thousands of different data points from a patient’s records and give a clear timeline of clinical events. This timeline includes diagnosis details, treatment plans, test results, and other notes. It helps doctors see the full story of a patient’s cancer or disease.
This complete view makes decision-making better. Doctors get a clear, organized look at patient history and how patients reacted to treatments before. It also makes finding good treatment choices faster, which is very important in cancer care because quick decisions can change results.
Joining clinical trials can be hard and slow in many healthcare places. AI assistants help fix this by scanning clinical notes, lab numbers, and other patient data to find patients who might join trials. Tempus One creates lists of patients matched to trials and quickly tells doctors about these chances.
More than 30,000 patients have already been found for possible trial enrollment through AI systems like Tempus. This can help research move forward and give patients access to new treatments.
AI platforms help drug and biotech companies study large molecular and clinical data sets. These systems find new biomarkers, which are signs of disease at the molecular level. These signs can lead to better treatment targets. AI also helps drug development by predicting how well treatments might work and how patients might react, without only using long clinical trials.
The drug development process benefits as AI can handle hundreds of petabytes of data that are too big and complex for humans to analyze by hand.
Medical practices and hospitals, especially those treating cancer and chronic illnesses, face many operational problems. Streamlining workflows is needed to cut down on paperwork and improve how things work. AI-powered automation helps a lot with this.
One example of AI workflow help is automating prior authorization. This step usually takes a lot of time because providers must gather medical records, insurance rules, and other info to get permission for treatments or drugs.
AI systems like Tempus One use special tools to collect needed data from patient records and insurance guidelines. Then they create customized support requests automatically. This cuts down the time doctors and staff spend on paperwork and helps start treatments faster, reducing delays in patient care.
Doctors and hospital staff also benefit from fast data search tools inside AI systems. Instead of looking at charts by hand, AI pulls answers from millions of anonymous healthcare documents including notes, images, and pathology tests in seconds.
This helps ongoing clinical research and needed reports by giving quick info on side effects, patient symptoms, and treatment results. For IT managers, using AI means better decisions about clinical work without needing much extra staff.
Cancer care needs treatments made especially for each patient because the disease differs so much from person to person. AI platforms improve results by combining advanced molecular profiling with clinical data. For example, Tempus’ xT platform uses both tumor and normal DNA plus RNA sequencing to find targeted cancer treatments. This works better than the usual tumor-only DNA tests.
Also, Tempus uses liquid biopsy tests like the xM test to watch how patients respond to immunotherapy by finding molecular changes in the blood. This test is less invasive and helps doctors change treatments quickly and accurately.
AI can also study drug tests with neural networks to predict how patients might react differently to drugs. This helps make treatment plans that fit the unique biology of a patient’s cancer.
In the United States, protecting patient privacy and following rules like HIPAA is very important when using AI in healthcare. Companies like Tempus focus on privacy by making sure AI tools use anonymous or privacy-safe patient data. This lets doctors and researchers use broad data and AI help while keeping information secret and following the law.
These changes aim to give doctors more time to focus on patient care instead of paperwork, improving the quality and accuracy of decisions in tough care situations.
For medical administrators and owners in the U.S., using AI assistants means investing in technology that supports precision medicine, makes workflows smoother, and improves patient and research results. IT managers have a key role in making sure these systems fit well with existing electronic health record (EHR) platforms at hospitals and clinics.
Setting up AI tools like Tempus One needs attention to data safety, training staff, and matching clinical needs. When done well, AI can be a helpful part of care delivery. It assists cancer doctors and other specialists in giving personalized treatment and managing patient care effectively.
By using AI focused on analyzing many types of real-world healthcare data, health organizations in the United States can improve precision medicine, make workflows more efficient, and help improve patient outcomes across many medical fields.
AI accelerates the discovery of novel targets, predicts treatment effectiveness, identifies life-saving clinical trials, and diagnoses multiple diseases earlier, enhancing personalized patient care through advanced data analysis and algorithmic insights.
Tempus provides an AI-enabled assistant that helps physicians make more informed treatment decisions by analyzing multimodal real-world data and identifying personalized therapy options.
Tempus supports pharmaceutical and biotech companies with AI-driven drug development, leveraging extensive molecular profiling, clinical data integration, and algorithmic models to optimize therapeutic strategies.
The xT Platform combines molecular profiling with clinical data to identify targeted therapies and clinical trials, outperforming tumor-only DNA panel tests by using paired tumor/normal plus transcriptome sequencing.
It uses neural-network-based, high-throughput drug assays with light-microscopy to predict patient-specific drug response heterogeneity across various solid cancers, improving treatment personalization.
Liquid biopsy assays complement tissue genotyping by detecting actionable variants that might be missed otherwise, providing a more comprehensive molecular and clinical profiling for patients.
~65% of US Academic Medical Centers and over 50% of US oncologists are connected to Tempus, enabling wide adoption of AI-powered sequencing, clinical trial matching, and research partnerships.
Tempus One is an AI-enabled clinical assistant integrated into the Electronic Health Record (EHR) system, allowing custom query agents to maximize workflow efficiency and streamline access to patient data.
xM is a liquid biopsy assay designed to monitor molecular response to immune-checkpoint inhibitor therapy in advanced solid tumors, offering real-time treatment response assessment.
Fuses combines Tempus’ proprietary datasets and machine learning to build the largest diagnostic platform, generating AI-driven insights and providing physicians a comprehensive suite of algorithmic tests for precision medicine.
Simbo is using AI agents to automate all phone related workflows. Connect now to know more.
Schedule AI Agents Demo Now© Since 2019, Simbo AI.
