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(Audio Described) NLM Funding Spotlight | The Green Button

With funding from the National Library of Medicine, Stanford University researchers proposed the Green Button, a service that provides on-the-spot medical consultations for clinicians tackling complex situations. This video has audio description, which describes onscreen imagery for users with low vision. Watch without audio description here:    • NLM Funding Spotlight | The Green Button   Learn more about the Green Button here: https://shahlab.stanford.edu/greenbut... Read the Stanford Daily's Green Button article here: https://stanforddaily.com/2015/10/28/... More about the Green Button: Randomized controlled trials have traditionally been the gold standard against which all other sources of clinical evidence are measured. However, the cost of conducting these trials can be prohibitive. In addition, evidence from the trials frequently rests on narrow patient-inclusion criteria and thus may not generalize well to real clinical situations. Given the increasing availability of comprehensive clinical data in electronic health records (EHRs), some health system leaders are now advocating for a shift away from traditional trials and toward large-scale retrospective studies, which can use practice-based evidence that is generated as a by-product of clinical processes. Other thought leaders in clinical research suggest that EHRs should be used to lower the cost of trials by integrating point-of-care randomization and data capture into clinical processes. The team behind the Green Button believes that a successful learning health care system will require both approaches, and they suggest a model that resolves this escalating tension. The goal of the Green Button function within EHRs is to help clinicians leverage aggregate patient data for decision-making at the point of care. Giving clinicians such a tool would support patient care decisions in the absence of gold-standard evidence and would help prioritize clinical questions for which EHR-enabled randomization should be carried out. The privacy rule in the Health Insurance Portability and Accountability Act (HIPAA) of 1996 may require revision to support this novel use of patient data. #bigdata #medical #hipaa #clinicaldatamanagement @stanford