An effort to improve electronic health record medication list accuracy between visits: patients' and physicians' response.

OBJECTIVE: To evaluate the efficacy of a secure web-based patient portal called Patient Gateway (PG) in producing more accurate medication lists in the electronic health record (EHR), and whether sending primary care physicians (PCPs) a clinical message updating them on the information their patients provided caused physicians to update the EHR medication list. METHODS: We compared the medication list accuracy of 84 patients using PG with that of 79 who were not. Patient-reported medication discrepancies were noted in the EHR in a clinical note by research staff and a message was sent to the participants' PCPs notifying them of the updated information. RESULTS: Participants were taking 665 medications according to the EHR, and reported 273 additional medications. A lower percentage of PG users' drug regimens (54% versus 61%, p=0.07) were reported to be correct than those of PG non-users, although PG users took significantly more medications than their non-user counterparts (5.0 versus 3.1 medications, p=0.0001). Providing patient-reported information in a clinical note and sending a clinical message to the primary care doctor did not result in PCPs updating their patients' EHR medication lists. CONCLUSIONS: Medication lists in EHRs were frequently inaccurate and most frequently overlooked over-the-counter (OTC) and non-prescription drugs. Patients using a secure portal had just as many discrepancies between medication lists and self-report as those who did not, and notifying physicians of discrepancies via e-mail had no effect.

Do physicians take action on high risk family history information provided by patients outside of a clinic visit?

Clinically relevant family history information is frequently missing or not readily available in electronic health records. Improving the availability of family history information is important for optimum care of many patients. Family history information on five conditions was collected in a survey from 163 primary care patients. Overall, 53% of patients had no family history information in the electronic health record (EHR) either on the patient's problem list or within a templated family history note. New information provided by patients resulted in an increase in the patient's risk level for 32% of patients with a positive family history of breast cancer, 40% for coronary artery disease, 50% for colon cancer, 74% for diabetes, and 95% each for osteoporosis and glaucoma. Informing physicians of new family history information outside of a clinic visit through an electronic clinical message and note in the EHR was not sufficient to achieve recommended follow-up care. Better tools need to be developed to facilitate the collection of family history information and to support clinical decision-making and action.

Improving electronic health record (EHR) accuracy and increasing compliance with health maintenance clinical guidelines through patient access and input.

BACKGROUND: Health maintenance is crucial for preventing morbidity and premature mortality, but many patients do not receive preventive services at recommended intervals. One reason for this is the lack of up-to-date information accurately reflecting patients' history. Electronic health records (EHRs) can be useful, but are often incomplete. Patient input has the potential to improve the accuracy of this information. In this study, we assessed the current state of EHR completeness for preventive services and the added value of patient reported information. METHODS: Participants were sent a survey, pre-populated with health maintenance procedure information from their EHRs. They were asked to review this information and indicate whether it was accurate or if they had a procedure done more recently. Of 1098 patients recruited from a primary care practice, 163 returned the survey. When a patient reported a more recent test than was noted in the EHR, researchers updated the EHR to reflect the additional information. Data were also gathered from the EHR 6 months after surveys were completed to analyze whether providing due test information encouraged patients to get tested and vaccinated. A review of medical records was performed on a control group to analyze differences in adherence to preventive guidelines between those that were notified of their overdue status and those who were not notified. RESULTS: The EHR was frequently incomplete when compared to patient report. In particular, many patients were misidentified as being overdue for health maintenance procedures when they had obtained them in other places. Showing patients their information resulted in little impact on overall adherence. However, with the cumulative effects of additional patient-reported procedures and procedures performed after the survey, intervention patients had higher documented adherence rates for every procedure than the control group. CONCLUSIONS: Health maintenance data in EHRs were often incomplete. Patients were often able to provide useful information, demonstrating the value of patient contributions in keeping records up-to-date.