Assessment of Electronic Health Information System Use and Need in US Adult Congenital Heart Disease Centers
Bibliographic record
Abstract
OBJECTIVES: Efforts to improve care for adult congenital heart disease (ACHD) patients necessitates collection of accurate, detailed, longitudinal data. We sought to document what electronic health record systems are currently available at ACHD centers and to assess national interest in a uniform ACHD-focused system. DESIGN: Directors of ACHD centers in the United States were invited to complete an online questionnaire regarding current health information systems at their institution both for general cardiology and for ACHD. Topics that were surveyed included utility and perceived limitations of currently available systems. The survey also assessed the level of interest in an ACHD-specific system, and its optimal functions. RESULTS: Thirty-four centers responded, representing both pediatric and adult institutions that care for patients with ACHD. Of these, 80% reported using a variety of commercially supported electronic medical record products, whereas only 50% employed an ACHD-specific noncommercial database to supplement their institutional system. Comparison of the two systems revealed that most clinical activities are pursued through the institutional electronic medical record system. Research and tracking of clinical activities were the primary uses of ACHD-specific systems, which have several noted limitations. Strong interest in an integrated ACHD-specific system was found among responders. CONCLUSIONS: There is both an unmet need and a strong interest in an ACHD-oriented electronic health record that could facilitate research, outcome tracking, quality assurance, and inter-institutional collaboration, all functions that are lacking in electronic health systems currently in use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".