Healthcare, Insights, Use Cases

Coming up with a diagnosis for a patient can be a very complicated process even for the most experienced practitioners. For hundreds of years, medical images have been aiding healthcare professionals in diagnosis and treatment planning. As the volume of patients is increasing and cases require more time due to their complexity, healthcare professionals find themselves under significant pressure (in terms of efficiency, accuracy and treatment planning). Furthermore, the shortage of healthcare workers only adds up to the problems they are already facing. In 2013, the shortage of healthcare professionals was 7.9 million and according to the World Health Organisation, this would go up to 12.9 million by 2035. This could have a tremendous impact on the wellbeing of all people around the world if a solution is not found quickly.

How can TurinTech help? 

With TurinTech, healthcare professionals can offload some pressure by automatically creating intelligent AI models to speed up the image reading process and hence managing to diagnose higher volumes of patients. Furthermore, these models can achieve higher accuracy than healthcare professionals alone, and, in some cases, identify irregularities not easily visible to the human eye. They can then prioritise those cases in most need of medical treatment. In addition, TurinTech’s technology integrates patient’s medical images with other historical data, allowing healthcare professionals to have a full picture of the patient’s medical history. Then, they can suggest better treatment planning, while reducing costs by avoiding further testing or readmission.

  • Accelerate the image analysis process: manage higher volumes of patients by shortening the time it takes to read a medical image​
  • Accurate reading: identify irregularities that are difficult to detect by healthcare professionals and provide correct diagnosis​
  • Take a holistic view of patient’s medical history: healthcare professionals have a full picture of a patient’s medical history which can help them suggest better and more personalised treatment