Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System
Bibliographic record
Abstract
BACKGROUND: Technologies like electronic health records or telemedicine devices support the rapid mediation of health information and clinical data independent of time and location between patients and their physicians as well as among health care professionals. Today, every part of the treatment process from diagnosis, treatment selection, and application to patient education and long-term care may be enhanced by a quality-assured implementation of health information technology (HIT) that also takes data security standards and concerns into account. In order to increase the level of effectively realized benefits of eHealth services, a user-driven needs assessment should ensure the inclusion of health care professional perspectives into the process of technology development as we did in the development process of the Multiple Sclerosis Documentation System 3D. After analyzing the use of information technology by patients suffering from multiple sclerosis, we focused on the needs of neurological health care professionals and their handling of health information technology. OBJECTIVE: Therefore, we researched the status quo of eHealth adoption in neurological practices and clinics as well as health care professional opinions about potential benefits and requirements of eHealth services in the field of multiple sclerosis. METHODS: We conducted a paper-and-pencil-based mail survey in 2013 by sending our questionnaire to 600 randomly chosen neurological practices in Germany. The questionnaire consisted of 24 items covering characteristics of participating neurological practices (4 items), the current use of network technology and the Internet in such neurological practices (5 items), physicians' attitudes toward the general and MS-related usefulness of eHealth systems (8 items) and toward the clinical documentation via electronic health records (4 items), and physicians' knowledge about the Multiple Sclerosis Documentation System (3 items). RESULTS: From 600 mailed surveys, 74 completed surveys were returned. As much as 9 of the 10 practices were already connected to the Internet (67/74), but only 49% preferred a permanent access. The most common type of HIT infrastructure was a complete practice network with several access points. Considering data sharing with research registers, 43% opted for an online interface, whereas 58% decided on an offline method of data transmission. eHealth services were perceived as generally useful for physicians and nurses in neurological practices with highest capabilities for improvements in clinical documentation, data acquisition, diagnosis of specific MS symptoms, physician-patient communication, and patient education. Practices specialized in MS in comparison with other neurological practices presented an increased interest in online documentation. Among the participating centers, 91% welcomed the opportunity of a specific clinical documentation for MS and 87% showed great interest in an extended and more interconnected electronic documentation of MS patients. Clinical parameters (59/74) were most important in documentation, followed by symptomatic parameters like measures of fatigue or depression (53/74) and quality of life (47/74). CONCLUSIONS: Physicians and nurses may significantly benefit from an electronically assisted documentation and patient management. Many aspects of patient documentation and education will be enhanced by eHealth services if the most informative measures are integrated in an easy-to-use and easily connectable approach. MS-specific eHealth services were highly appreciated, but the current level of adoption is still behind the level of interest in an extended and more interconnected electronic documentation of MS patients.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".