Anyone in California seeking medical care has a right to assume their electronic health records (EHRs) will be accurate. Unfortunately, this isn't always the case. According to a study referenced in a healthcare industry publication, 30 percents of all patient harm events resulting in malpractice claims involving EHRs were related to medication errors. Diagnostic mistakes were also common.
Sound-alike/look-alike (SALA) medications cause an estimated 250,000 hospitalizations in California and across the United States each year. This number may soon be reduced thanks to a new model developed by Harvard Pilgrim researchers.
If the medications listed in a California patient's medical records are inaccurate, certain prescriptions could do more harm than good. This is why physician assistant student researchers from the University of Kentucky Markey Cancer Center have implemented a patient medication interview. The team is recommending standardized medication reconciliation training after a pre-implementation review identified several instances where medical record technicians were not prepared to properly conduct medication reconciliation procedures.
Researchers at the Cedars-Sinai Multiple Sclerosis and Neuroimmunology Center in Los Angeles have published a study showing that many patients are being misdiagnosed with multiple sclerosis. They reviewed the referrals of 241 patients to two MS clinics, one at Cedars-Sinai and one at UCLA. In all, 17 percent of patients at the Cedars-Sinai clinic and 19 percent at the UCLA clinic had been incorrectly diagnosed.