Making intelligent health decisions®

Zatient® is an AI-based healthcare application for use by patients, families, and healthcare practitioners. Zatient applies XFI’s knowledge and experiences over the past 20 years to patient decision-making.

Zatient will deliver clear, unbiased information relevant to the patient’s specific condition and sensitive to the patient’s and family’s personal value system and preferences. Zatient will guide, inspire, and enable patients to better understand and participate in high-quality healthcare decisions.

The Reality of Healthcare in America

Poor Population Health

Almost half of those over 65 receive treatment for at least one chronic disease, and more than 20 percent receive treatment for multiple chronic diseases (Schneider et al., 2009); fully 75 million people in the United States have multiple chronic conditions (Parekh and Barton, 2010).

High Cost of Care

Health care spending in the U.S. far exceeds that of other peer countries, on average $9,000 per person versus $6,300 for Switzerland, the next highest spender (Organization for Economic Cooperation and Development, OECD Health Data 2015).

Americans spend more than $210 billion annually for unnecessary medical tests and treatments (National Academy of Medicine, 2010).

The risks and expenses of medical tests are treatments are often underestimated (American College of Physicians).

“Overdiagnosis” is when a test gives you a diagnosis that is unlikely to ever affect your health, and it may be better not have the test at all, particularly when it results in unnecessary treatment or testing (American College of Physicians).

Healthcare Inefficiencies

It would take an estimated 21 hours per day for individual primary care physicians to provide all of the care recommended to meet their patients’ acute, preventive, and chronic disease management needs (Yarnall et al., 2009).

Medicare patients now see an average of seven physicians, including five specialists, split among four different practices (Pham et al., 2007).

Without meaningful and trustworthy sources of information on costs and outcomes of care, patients and consumers cannot make fully informed decisions.

Unsatisfactory Patient Experience

If medical error was a disease, it would rank as the third leading cause of death in the U.S. (Markary and Daniel, 2016)

Although healthcare spending in the U.S. far exceeds that of other peer countries, Americans experience poorer outcomes. “The health disadvantage is pervasive—it affects all age groups up to age 75 and is observed for multiple disease, biological and behavioral risk factors, and injuries.” (National Academy of Medicine, 2013; U.S. Health in International Perspective: Shorter Lives, Poorer Health)

A decade after the National Academy of Medicine (1999) estimated that 44,000 to 98,000 patients died each year from preventable medical errors, recent studies have reported that as many as one-third of hospitalized patients may experience harm or an adverse event, often from preventable errors (Classen et al., 2011; Landrigan et al., 2010; Levinson, 2010).

If all states could provide care of the quality delivered by the highest-performing state, an estimated 75,000 fewer deaths would have occurred across the country in 2005 (McCarthy et al., 2009; Schoenbaum et al., 2011).

…when [patients] are encouraged to play a role in decisions about their care, they often lack understandable, reliable information—from evidence on the efficacy and risks of different treatment options to information on the quality of different providers and health care organizations—that is customized to their needs, preferences, and health goals (Fagerlin et al., 2010; Lee et al., 2011, 2012; Sepucha et al., 2010).

A study of guidelines for the 10 most common types of cancer found that only 6 percent of the guidelines’ recommendations were based on a high level of evidence with uniform consensus (Poonacha and Go, 2011).

An examination of 51 guidelines for treating lung cancer, for example, found that less than a third of the recommendations were evidence based (Harpole et al., 2003; National Academy of Medicine, 2009a).