Far too often, medicine today still focuses on treating symptoms rather than identifying and treating the real underlying disease. This can result in inaccurate diagnosis, ineffective treatment, and wasteful spending. Greater diagnostic accuracy is key to expand precision medicine in healthcare. It can help to overcome these problems, making it possible to quickly and reliably differentiate types of diseases and then prescribe effective medical treatment, reducing unnecessary interventions and their associated costs.
Improving diagnostic accuracy depends on improving how you collect and use healthcare data. Data must be of high quality and accurate, tailored to the patient’s individuality and support complex clinical decisions.
There are four data-driven solutions to enable turning healthcare data into insights:
In this interview, Paul Rothman, MD, PhD, Dean of the Medical Faculty & CEO of Johns Hopkins Medicine, United States, explains the challenges they are facing and how they are overcoming them with the creation of Precision Medicine Centers of Excellence (PMCOE).
Click on the image to start the video.
Low-quality data, non-comprehensive data “snapshots”, non-actionable information, and a siloed approach all limit the ability to make precise, data-driven diagnoses. This thought leadership paper describes these challenges and presents four matching approaches to overcoming them, both for COVID-19 and for the practice of medicine.