Discrepancy Between What Symptoms Patients Report, What Appears in Electronic Medical Record

Researchers found significant inconsistencies between what symptoms patients at ophthalmology clinics reported on a questionnaire and documentation in the electronic medical record, according to a study published online by JAMA Ophthalmology. The percentage of office-based physicians using any electronic medical record (EMR) increased from 18 percent in 2001 to 83 percent in 2014. Accurate documentation of patient symptoms in the EMR is important for high-quality patient care. Maria A. Woodward, M.D., M.S., of the University of Michigan Medical School, Ann Arbor, and colleagues examined inconsistencies between patient self-report on an Eye Symptom Questionnaire (ESQ) and documentation in the EMR. The study included 162 patients seen at ophthalmology and cornea clinics at an academic institution.

The researchers found that at the participant level, 34 percent had different reporting of blurry vision between the ESQ and EMR. Likewise, documentation was not in agreement for reporting glare (48 percent), pain or discomfort (27 percent), and redness (25 percent). Discordance of symptom reporting was more frequently characterized by positive reporting on the ESQ and lack of documentation in the EMR. Return visits at which the patient reported blurry vision on the ESQ had increased odds of not reporting the symptom in the EMR compared with new visits.

"We found significant inconsistencies between symptom self-report on an ESQ and documentation in the EMR, with a bias toward reporting more symptoms via self-report. If the EMR lacks relevant symptom information, it has implications for patient care, including communication errors and poor representation of the patient's reported problems. The inconsistencies imply caution for the use of EMR data in research studies. Future work should further examine why information is inconsistently reported. Perhaps the implementation of self-report questionnaires for symptoms in the clinical setting will mitigate the limitations of the EMR and improve the quality of documentation," the authors write.

Valikodath NG, Newman-Casey PA, Lee PP, Musch DC, Niziol LM, Woodward MA.
Agreement of Ocular Symptom Reporting Between Patient-Reported Outcomes and Medical Records.
JAMA Ophthalmol. January 26, 2017. doi: 10.1001/jamaophthalmol.2016.5551.

Most Popular Now

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...

AI Body Composition Measurements can Pre…

Adiposity - or the accumulation of excess fat in the body - is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease...