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Natural, Traditional & Alternative Medicine
2021-06-07 - 2021-06-08    
All Day
Natural, Traditional and Alternative Medicine mainly focuses on the latest and exciting innovations in every area of Natural Medicine & Natural Products, Complementary and Alternative [...]
Advances In Natural Medicines, Nutraceuticals & Neurocognition
2021-06-11 - 2021-06-12    
All Day
The two-days meeting goes to be an occurrence to appear forward to for its enlightening symposiums & workshops from established consultants of the sphere, exceptional [...]
Automation and Artificial Intelligence
2021-06-15 - 2021-06-16    
All Day
Conference Series invites all the experts and researchers from the Automation and Artificial Intelligence sector all over the world to attend “2nd International Conference on [...]
Green Chemistry and Technology 2021
2021-06-23 - 2021-06-24    
All Day
Green Chemistry and Technology is a global overview with the Theme:: “Sustainable Chemistry and its key role in waste management and essential public service to [...]
Food Science & Nutrition
2021-06-25 - 2021-06-26    
All Day
Food Science is a multi-disciplinary field involving chemistry, biochemistry, nutrition, microbiology, and engineering to give one the scientific knowledge to solve real problems associated with [...]
Food Safety and Health
2021-06-28 - 2021-06-29    
All Day
The main objective is to bring all the leading academic scientists, researchers and research scholars together to exchange and share their experiences and research results [...]
Food Microbiology
2021-06-28 - 2021-06-29    
All Day
This conference provide a platform to share the new ideas and advancing technologies in the field of Food Microbiology and Food Technology. The objective of [...]
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Latest News

Oct 21 : eGEMS Releases Study On Improving Medical Record Accuracy

patients

By Megan Williams,

eGEMs (Generating Evidence & Methods to improve patient outcomes) has released a study confirming methods to help improve medical record accuracy.

Goals

The study had three goals:

  • Assessing if patients can improve medical record accuracy through effective engagement via a networked personal health record
  • Assessing workflow efficiency and reliability of the patient feedback process
  • Assessing the impact of patient feedback on the accuracy of medical records

Key Findings

  • Patients were eager to provide feedback on medications.
  • Patients provided useful and accurate information online.
  • Processing of feedback requires software algorithms and human interpretation.
  • Acceptance of online patient feedback is made more likely by an overall supportive ehealth environment.

Of the patients who were requested to fill out medication feedback forms, 30 percent completed the forms, with 61 percent of them requesting discontinuations or a change in frequency or dosage of the medication indicated in their EHR (electronic health records). An additional 62 percent requested new medication. In total, 89 percent requested changes to their medication records.

Opportunities For Solutions Providers
In reviewing the medication forms, pharmacists communicated with patients and other pharmacists, using patient feedback to update the EHR. On a large scale though, the study suggests that decision support rules would be needed to automate processing certain types of medication feedback. The study also suggests that structured form fields to capture information would be highly useful in processing patient feedback, and scaling the process to accommodate more patients and a larger system.

The solution tested in the study also incorporates patient-directed personal health records as used to increase data quality across a community, as well as acknowledges the potential use of HIE (health information exchange) solutions to help build more comprehensive views of patient data across multiple providers.

Methods

The study used patient focus groups comprised of users, nonusers, and partial users of the feedback form; interviews with providers and pharmacists, observations of patients, and quantitative analysis of data from patient feedback and pharmacist medication reconciliation logs.

Source