In a world where healthcare reimbursement models are changing, care is moving towards an outcome-based compensation model, and industry information exists in many different sources and formats (images, video, text, numerical data, multimedia, paper, electronic records, etc.), it’s no surprise that the massive amount of healthcare data is incredibly complex and difficult to sort, organize, and decipher.
Procedures and terms can be, and usually are, identified differently from one department to the next. A claims department may categorize a procedure by a mix of numbers and letters, whereas the doctor refers to the procedure by a term more commonly known to the patient, and by more advanced medical term in his or her vernacular. In addition, inconsistent definitions exist for various terms, and on top of that, there’s structured and unstructured data that makes it hard to aggregate and maintain.
Big Data analytics to the rescue
According to McKinsey, Big Data analytics can help make sense of complex healthcare data and can enable more than $300 billion in savings per year in U.S. healthcare alone.
This year, at the Healthcare Information and Management Systems Society (HIMSS) Annual Conference, more than 40,000 healthcare IT professionals, clinicians, executives, and vendors from around the world will convene to discuss how analytics and other cutting-edge IT methods can improve the quality, cost-effectiveness, access, and value of healthcare.
One of the highlights of this year’s event will come from the American Society of Clinical Oncology (ASCO), a nonprofit professional oncology society that is transforming care for cancer patients with its new solution, CancerLinQ. ASCO CEO Kevin Fitzpatrick will share ways the organization is unlocking knowledge from the medical records of the 97% of cancer patients not involved in clinical trials to enable better, more data-driven decision-making.
Dinesh Vandayar, vice president SAP Personalized Medicine, will also lead a discussion around the newly released SAP Foundation for Health and applications like SAP Health Engagement, which help support deeper insights and connect health data silos.
Digital transformation is driving better patient outcomes in healthcare through the use of preventative care applications, personalized, and precision treatment, and quicker and easier access to patient information. Patients are starting to take control of their own health, monitor potential health issues via mobile apps, and quickly and easily communicate with their physicians. I’m wearing my FitBit as I write this blog….
Eager to learn more? Connect with me before, during, and after the event on Twitter at @CMDonato and follow #HIMSS16.
This story originally appeared on the SAP Business Trends community.Comments