More than ever, data is driving better outcomes in healthcare. In fact, big data analytics is fueling innovations across the healthcare industry, including remote diagnosis and telemedicine, patient data monetization, and how new technologies are helping fight pandemics.
A recent Medical Economics article applauded the healthcare industry for its rapid adoption of data-driven innovations, pointing out that 90 percent of hospitals in the U.S. today are “sending or receiving health information with at least one organization outside their own.” However, the article also points out that while data sharing is becoming a common practice, little thought has been given to how physicians will actually use this newfound wealth of health information.
To solve this problem, the article stresses the need to better connect doctors and healthcare professionals involved in the “last mile” of patient care with the latest data. By focusing on the patient benefit of data-driven healthcare innovations and initiatives, healthcare executives can ensure that frontline doctors and nurses get the data they need to make the best decisions for their patients. In fact, the Medical Economics article envisions a world where physicians become “care coordinators and data curators” that provide feedback, flag issues, and make corrections.
In related news, a recent study by HIMSS and analyst firm Forrester found that while the healthcare industry is “underutilizing” the latest big data analytics technologies and customer experience solutions compared to other industries, virtual care and remote monitoring are on the rise. The study also reports that healthcare organizations can increasingly benefit from data sharing programs for patients as more consumers use wearables, such as smart watches that provide a person’s health-related data.
To learn more, see how TIBCO customer the University of Chicago Medicine centralized its data to improve patient care, including decreasing cardiac arrest, increasing Operating Room efficiency, and reducing readmissions using big data analytics. Read it here!