Medical updates in predicting Parkinson disease

On Behalf of | Jun 10, 2020 | Blog, Failure To Diagnose

Although Parkinson’s disease can have major impacts on a person’s life in New Mexico or elsewhere, diagnosing the disease and predicting the progression of the disease is difficult. According to polls, approximately 25 percent of those with Parkinson disease are misdiagnosed while 48 percent of the participants received medication or other treatment for a different condition they did not have.

As Parkinson disease is complex and patients can experience “OFF” periods, or periods of worsening motor and non-motor symptoms, when they are not properly diagnosed, it is imperative that physicians are able to diagnose the disease correctly and quickly. However, researchers have been able to develop novel technology systems and statistics that may help distinguish Parkinson disease and other neurodegenerative diseases in addition to predict the severity of the disease.

To assist with detecting Parkinson disease at an early stage, researchers designed a machine learning technique that analyses data from Medicare Part A and B claims. The results showed that one of their test models had a high predictive accuracy in identifying the symptoms and predictors of PD, though further research is needed. However, being able to identify the disease early could prevent misdiagnosis and reduce the severity of OFF periods.

When a person is experiencing symptoms of a complex disease that is difficult to properly diagnose, he or she may experience severe symptoms that could impact his or her quality of life. While many doctors do everything they can to find a correct diagnosis, there are doctors who fail to listen to their patients or refuse to order tests that could lead to a correct diagnosis. If there is a failure to diagnose or misdiagnosis that results in injury or impacts a person’s quality of life, a medical malpractice attorney may review the case and assist with seeking compensation for the affected person.


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