![]() Legacy Cardinal Health capabilities include global logistics and distribution expertise, management of a large network of suppliers and vendors, and access to a wide range of home-based care providers. ![]() Velocare brings together Cardinal Health capabilities through a combined offering intended for health systems, payers, digital health companies, telehealth providers and other entities moving high-acuity care to the home. ![]() Through a strategic collaboration with Medically Home, Cardinal Health at-Home Solutions is now supporting a Medically Home health system customer with Velocare, collectively enabling scaled, high-acuity care in the home. 15, 2022 /PRNewswire/ - Cardinal Health (NYSE: CAH) today announced the launch of Velocare™, a supply chain network and last-mile fulfillment solution capable of reaching patients in one to two hours with critical products and services required for hospital-level care at home. Inferring causes of the good and bad events that we experience is part of the process of building models of our own capabilities and of the world around us.Launching as a pilot with Medically Home, new technology offering will reach patients in one to two hoursĭUBLIN, Ohio, Nov. Making such inferences can be difficult because of complex reciprocal relationships between attributions of the causes of particular events, and beliefs about the capabilities and skills that influence our role in bringing them about. Abnormal causal attributions have long been studied in connection with psychiatric disorders, notably depression and paranoia however, the mechanisms behind attributional inferences and the way they can go awry are not fully understood. We administered a novel, challenging, game of skill to a substantial population of healthy online participants, and collected trial-by-trial time series of both their beliefs about skill and attributions about the causes of the success and failure of real experienced outcomes. We found reciprocal relationships that provide empirical confirmation of the attribution-self representation cycle theory. This highlights the dynamic nature of the processes involved in attribution, and validates a framework for developing and testing computational accounts of attribution-belief interactions.Īs part of interpreting our experiences, we spontaneously make causal attributions and use them to update our beliefs about the world, ourselves and others. This has long been a topic of interest, particularly within psychiatry. Some theories assume that people have stable “attributional styles”, others focus on the changing nature of attribution-making and on the relationships between attributions and one’s beliefs about the self, suggesting that the two are mutually connected. In this area of research, people have traditionally been asked to imagine themselves experiencing various significant life events and report on how they would interpret those, or have been exposed to artificial and highly simplified situations in the lab. In this work, we introduce a new task to study relationships between causal attributions and beliefs: repeatedly playing an engaging and relatively complex game of skill. We show that we can detect mutual influences between attributions and beliefs at the level of individual wins and losses. This has implications for how everyday successes and failures impact our beliefs about ourselves and our well-being. It also could help understand how our interpretations of negative experiences can spiral out of control, affecting our mental health. When people succeed or fail at achieving their goals, they typically use beliefs about their abilities or skills to attribute the result to their own internal efforts or to external factors.
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