Ask questions and get the latest medical research with this AI research assitant, improve patient care and stay up-to-day.
Automate note-taking for doctors, save time, cut down on mistakes, and guarantee precise records.
Summarize and understand key insights in medical research, saving time and enhancing patient care.
Classify diseases, including rare conditions with few samples, ensuring accurate diagnoses and healthcare.
Speed up hospital discharge note writing, reduce doctors' workload, and minimize patient risks.
Detect CKD risk from clinical variables and prioritize patients for enhaced care and cost reduction.
Identify high-risk HF patients, guide them into care programs, and reduce hospitalizations and costs.
Predict high-risk diabetes patients for early intervention, reducing complications and costs.
Detect patients that will have increase rates of mortality and negative obstetric outcomes using clinical variables
Use patient intake data to predict the length of stay at hospitalization.
Use clinical variables from the EMR of patients to predict antibiotic resistance
Effortlessly schedule and post tweets directly from our platform, ensuring your message reaches your audience at the right time.
Collaborate on documents, organize tasks, and access your Notion content without switching between applications.
Create tailored clinical plans for patients combining patient cases with medical literature to enhance care and reduce provider workload.
Poor medication adherence causes 125k deaths, 10% hospital admissions, costs $300B yearly. AI can boost adherence, reduce risks.
Predict stock levels to optimize inventory management, anticipate demand for finished products and reduce costs.
Approximately 30–40% of all delirium episodes are considered to be preventable, AI identifies high risk patients.
Urinary tract infections (UTIs) impose significant health and financial burdens, AI allows providers to intervene accordingly
AI can help healthcare organizations (HCOs) identify individuals at-risk for developing Metabolic syndrome (MetS).
AI-based models can accurately predict which patients are most likely to experience adverse events.
Predictive analytics enable practitioners to proactively identify high-risk patients and prevent serious fall-related injuries.
Readmissions are expensive for hospitals. AI identifies who are the most likely to be readmitted to take preventive measures.
Operational efficiency determines profitability for healthcare organizations (HCOs), AI boosts productivity up to 44%.
Improving the product mix increases competitiveness, customer satisfaction, profitability and efficiency
AI systems can use past trends and market signals to forecast demand.
Access to the market in the pharmaceutical industry refers to identifying, evaluating, and taking advantage of market opportunities effectively.
Artificial Intelligence is crucial in enhancing price accuracy in medical device companies, consumer healthcare enterprises, and pharmaceutical firms.
33% of clinical trials have problems with randomization, statistical analysis and patient recruitment. AI assists in several bottlenecks.
Nearly 20% of patients are hospitalized again within 30 days, preventing these events is a priority for healthcare organizations
More than one in three patients that prefer palliative care do not receive it. AI ensures patients the quality of life they desire in their final days
Hospitals can leverage predictive analytics to identify patients likely to be at high risk for undesirable complications.
A way to identify patients at risk for ER visits and observation stays, surface modifiable risk factors, and streamline patient outreach.
Readmitted patients are often clinically unstable at the time of transfer, AI ensures the transition to skilled nursing facilities goes smoothly.
Increase appointment attendance rates, reduce the financial burden of no-shows, and improve the health outcomes with Artificial Intelligence
Churn reduces medication adherence and disrupt continuity of care, and patients with coverage interruptions have more emergency department use.
Prior Authorization (PA) delays access to necessary care, Healthcare organizations an leverage AI to streamline PA.
Telehealth is cost-effective and frequently able to address patient health needs without escalation to more resource-intensive services.
Predict drug adverse effects with Artificial Intelligence, increasing patient health and satisfaction.
Proactively identifying such rising risk patients is important to mitigate future health related costs.
Improve omnichannel engagement with data-driven, personalized approaches
Deep personalization of Patient Support Programs with digital technologies to enhance patient experience and adherence.
Adherence to medical guidelines is a global issue, specially on chronic patients. AI helps medical professionals and patients to follow guidelines.