As lead author of “Patients as Consumers in the Market for Medicine: The Halo Effect of Hospitality,” Young and colleagues analyzed Centers for Medicaid and Medicare Services data on patient satisfaction, mortality, and technical medical quality for more than 3,000 general and acute-care hospitals in the United States between 2007 and 2010.
Most of the time, the last person in a chain of errors is assigned the blame for the final outcome of a procedure gone wrong. In the case of medicine, this is usually the physician, surgeon, anesthesiologist, or other caretaker who assumes primary responsibility for a patient’s safety.
In this Q&A with Christopher Rafter, chief operating officer of Tampa-based Inzata Analytics, he speaks about the future of data analytics in healthcare and how they can improve the effectiveness of patient care.
The recent research, which was published in the Journal of the American Geriatrics Society, examined data collected from 4,005 primary care patients over age 65. Half of the patients were screened for ADRDs and the other half served as a “no screen” control group.
Researchers at Beth Israel Deaconess Medical Center in Boston found that hospitals awarded by the American Heart Association and American College of Cardiology for their high-quality care for acute myocardial infarction and heart failure were more likely to be financially penalized under value-based programs than other hospitals.
Serious problems can occur when results are delayed. Patients can undergo the wrong operation, be prescribed the wrong medication, or be discharged when they actually require urgent care. A delay in test results can mean the difference between a treatable problem evolving into an inoperable one.
Forty-two percent of respondents say communication and the ability to make clinical decisions are important factors impacting the working environment, while 43% indicate professional growth opportunities through career advancement are crucial.
Historically, alcohol or drug use has been used as the primary measure of outcome in clinical trials, but how it has been measured has varied. Alcohol and drug use have been measured in varying ways: for example, as a percentage reduction in use over varying periods of time, number of days of abstinence over varying periods of time, or percentage of days abstinent over varying periods of time.
These transfers can be as dramatic as air-lifting a patient to a remote specialty hospital and telling the EMTs that the patient thinks he can fly and will try to jump out of the helicopter, or as mundane as a nurse ending her shift and telling her replacement the patient has been taken off a certain medicine. In both cases, not passing on this information can potentially harm the patient.
The hospital and health system set up an early warning system (EWS) as a way to alert nurses to subtle changes in patient condition. But alerts alone aren’t enough, so they also developed an integrated workflow that supports patient assessment, contextual evaluation of clinical data, provider notification, interdisciplinary collaboration, and timely intervention.