There is no doubt that data-driven healthcare is a driving force behind better patient outcomes across the healthcare continuum. From electronic health records (EHRs) to artificial intelligence (AI), the use of data in healthcare is improving population health, reducing readmission rates, and even saving lives. Find out how data from these emerging technologies is improving patient outcomes in our latest news roundup.
Understanding How Social Determinants Can Improve Population Health
Data-driven healthcare has taken a turn as healthcare providers realize improved patient care must depend on more than treatment plans and prescriptions. In a recent webinar hosted by AHIP and HGS, the organizations identified ways social determinants are improving population health using data gathered from Medicaid members. The social determinants of health include environmental, economic, and social factors that impact an individual’s health. The research has shown that these factors can influence a person’s health more than the medical care he or she receives. Find out more about the study here.
As AI Continues to Evolve, Radiologists Must Embrace Change
In today’s ever-changing healthcare environment, providers must be able to keep up, especially when it comes to the complexities of data-driven healthcare. This means providers across the healthcare continuum must be informed – including everyone from doctors, nurses, and radiologists. Andrea Rockall, clinical chair of radiology at Imperial College London, told AI in Healthcare that radiologists must help make sure the datasets used by researchers are effective, working with “patient representatives, computing colleagues and machine learning scientists” every step of the way. Read the full story here.
From Descriptive to Prescriptive: How AI is Already Improving Healthcare Delivery
The healthcare industry is now poised to take artificial intelligence (AI) to the next level, according to a recent interview with John Showalter, Chief Product Officer at Jvion. In a recent interview with Future Healthcare Today Showalter told us that the next step for AI is to enable it “to use data prescriptively.” He says, “for the treatment of patients with cancer, information from their Electronic Health Record (EHR) is analyzed by the AI platform, which then prescribes an action, such as beginning a conversation about palliative care, for the clinician to consider. The clinician then evaluates the suggested action within the full context of the patient’s diagnosis and treatment plan, and then any decisions that are made are made between the clinician and the patient.” Find out more about how AI is transforming healthcare through prescriptive analytics here.
