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7:30 AM - HLTH 2025
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12:00 AM - NextGen UGM 2025
TigerConnect + eVideon Unite Healthcare Communications
2025-09-30    
10:00 am
TigerConnect’s acquisition of eVideon represents a significant step forward in our mission to unify healthcare communications. By combining smart room technology with advanced clinical collaboration [...]
Pathology Visions 2025
2025-10-05 - 2025-10-07    
8:00 am - 5:00 pm
Elevate Patient Care: Discover the Power of DP & AI Pathology Visions unites 800+ digital pathology experts and peers tackling today's challenges and shaping tomorrow's [...]
AHIMA25  Conference
2025-10-12 - 2025-10-14    
9:00 am - 10:00 pm
Register for AHIMA25  Conference Today! HI professionals—Minneapolis is calling! Join us October 12-14 for AHIMA25 Conference, the must-attend HI event of the year. In a city known for its booming [...]
HLTH 2025
2025-10-17 - 2025-10-22    
7:30 am - 12:00 pm
One of the top healthcare innovation events that brings together healthcare startups, investors, and other healthcare innovators. This is comparable to say an investor and [...]
Federal EHR Annual Summit
2025-10-21 - 2025-10-23    
9:00 am - 10:00 pm
The Federal Electronic Health Record Modernization (FEHRM) office brings together clinical staff from the Department of Defense, Department of Veterans Affairs, Department of Homeland Security’s [...]
NextGen UGM 2025
2025-11-02 - 2025-11-05    
12:00 am
NextGen UGM 2025 is set to take place in Nashville, TN, from November 2 to 5 at the Gaylord Opryland Resort & Convention Center. This [...]
Events on 2025-10-05
Events on 2025-10-12
AHIMA25  Conference
12 Oct 25
Minnesota
Events on 2025-10-17
HLTH 2025
17 Oct 25
Nevada
Events on 2025-10-21
Events on 2025-11-02
NextGen UGM 2025
2 Nov 25
TN
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