In the past, legislative attempts to curb health care spending have primarily focused on prices, payers, and providing health care to the uninsured and been subject to the usual partisanship that dooms most legislation to failure. A focus by legislators instead on technology solutions might lessen the partisan divide and result in meaningful legislation.
As the inaugural chief data scientist for Stanford Health Care, Nigam Shah will lead an effort to advance the use of artificial intelligence in patient care and hospital administration.
Other than transforming patient experience and healthcare operations, technology has been a strong ally for healthcare organizations and professionals. This could also be beneficial for those who want to streamline and add peace of mind to their HIPAA compliance efforts.
As we near two years since Covid-19 first struck the U.S., our healthcare system continues to grapple with staffing shortages, sicker patients, and an aging population, leading to an overburdened workforce. Luckily, there are technologies – such as machine learning algorithms (MLAs) and artificial intelligence – that continue to evolve and support care teams in making important clinical decisions, leading to optimal levels of care delivery and better patient outcomes.