Effects of EMR on Community Health Center Communication
Bibliographic record
Abstract
Electronic medical record (EMR) systems impact healthcare communication in a significant number of ways. The physical presence of the EMR in the examination room can negatively impacts patient-provider communication. This research examined the impact of EMR on patient-provider communication within the microcosm of the community health center. The data for this research was collected via a quantitative survey using a random sample of 513 (10%) of the 5,101 patients of the Northwest Community Health Center (August 2021 to August 2022). These participants were at least 18 years of age and had seen their medical provider in the previous 12 months. Many themes arose from the research participants who were uncomfortable with the EMR or the use of technology in the exam room. Understanding the benefits or even the general functionality of the EMR allows the patient to feel more comfortable with its use and to become more tolerant of the presence and use of technology during the physician encounter. Furthermore, as the possession and use of current technologies diminishes amongst the study’s participants, so does their preference for their provider to use an EMR. To comprehend the impact EMR knowledge has on the patients’ perception of its utilization, a crosstabulation between staff and non-staff patients underlined the fundamental difference. When asked what type of chart they would prefer their medical provider to use, a quarter of non-staff patients preferred electronic medical records, whereas two-thirds of the staff, who are also patients of the community health center, preferred the same. These findings indicate a need to educate patients about the benefits of the EMR and the advantage of accessing the EMR in the exam room. Furthermore, enhancing the providers’ communication skills will help them comprehend the prevalent communication barriers created by accessing the EMR in the exam room. The quality of the interaction between the patient and provider is critical to the patient’s health outcomes. Improved communication leads to better emotional and physiological health, compliance with treatment recommendations, pain management, and symptom resolution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.070 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".