From managing appointments to admittance and coordination of treatments to billing – patient management is a complex field in which everything revolves around the patient. Keep reading for the latest developments and application examples.
Saving money, at a cost: To undergo bariatric and weight reduction surgery, more and more patients turn to institutions outside their home country – potentially putting their health at risk.
Too many medicines, too many hospital visits: Inappropriate polypharmacy is a major driver of emergency hospital admissions among adults aged 65 and over, according to a new study.
A virtual medical receptionist named “Cassie,” developed through research at Texas A&M University, is designed to transform the way patients interact with health care providers.
Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor data for better screening, and more: Digital technologies hold great potential to improve diagnosis and treatment of patients with atrial fibrillation (AF). At the ESC 2024 cardiology congress in London, four experts explored the benefits of new solutions and pointed out…
Childhood cancer diagnosis times span from immediate to delays of several years, according to a new study. Young bone tumor patients are among the most affected by these delays.
A new method for predicting the risks of severe injuries during childbirth could improve care and reduce long-term complications for women.
When it comes to breast cancer, ethnic differences matter, putting some women at a significantly higher risk, a new study finds. Genetic ancestry should therefore be considered as a risk factor.
Multiple sclerosis often transitions from a relapsing-remitting to secondary progressive form, which requires different treatment. Now, an AI model can determine this change with 90% certainty.
Discovering knowledge about side effects needs to be faster and better. In her oration, Prof. Dr. Agnes Kant, Professor by special appointment of Innovation of Pharmacovigilance, calls for more research on side effects. She also pleads for a fund for independent research on side effects.
Arginine vasopressin deficiency (AVP-D) is a rare condition affecting the body's water management. However, it is also known under a different name – this can lead to fatal mix-ups.
A large new study of more than 40,000 patients finds that a zero coronary artery calcium score continues to be an accurate indicator of a low risk for a coronary heart event even as a person ages.
Screening for colorectal cancer has proven effective for reducing mortality, but response rates are lacking. A new study finds that putting on the pressure can provide the necessary encouragement.
Generative AI can detect and quantify cognitive biases of human caregivers during medical emergency situations. This way, LLMs could help reduce the impact of bias based on gender, age, or ethnicity.
For more than a year now, patients in Austria are no longer required to wear a lead apron during radiological imaging procedures such as X-ray and CT scans. However, the new recommendation, issued by the country's five specialist societies for radiation protection and imaging, has sparked mixed reactions among radiology technologists. At the annual congress of the specialist society…
"Negative" results are good, and CAT scans are taken without felines: Medical jargon can be confusing for children, so pediatrics experts call for clearer language to avoid invoking fear.
Analyses of self-tests for human papillomavirus (HPV) can be used to divide HPV-positive women into three risk groups, according to a new study. This could enhance cervical cancer screening.
Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.
Discover in only one minute, how the Get Up holding system sustainably assists both patients and medical staff.
Karolinska University Hospital is among the most transparent hospitals worldwide. Using AI, the hospital can accurately demonstrate where lives have been saved, and harm avoided for patients.
