Developing an eBoard for resource management in the Image Guided Therapy Department
Bibliographic record
Abstract
The health care sphere presently faces a number of challenges.There is a steady necessity to improve the quality of services and to reduce their cost.Information technologies are an important factor in responding to these challenges.Health information systems are aimed to capture, store, manage and communicate information related to health at individual and population levels or the activities of organizations working within the health sector.The unique features of the e-health systems are rooted in the inherent confidentiality issues and diversity of the stakeholders involved in both development and utilization of the systems comprising of patients, doctors, nurses, administrators, scientists, payers, and regulators.Because of this diversity, health informatics is a multi-disciplinary field combining information science, computer science, economics, social science, epidemiology, behavioral science, public health and medicine.Operations of the Image Guided Therapy (IGT) Department of the Hospital for Sick Children ("SickKids"), Toronto, Canada have been investigated in the study.IGT provides valuable diagnostic and therapeutic data using procedures that involve different forms of anesthesia or sedation administered to the patients.Procedures done at the IGT can be divided into three major groups: (1) general anesthetic (GA) cases, which require complete anesthesia of the patient; (2) registered nurse (RN)-sedation or non-GA cases, which do not require complete anesthesia; and (3) local cases done under local anesthesia.The department works with three main groups of patients: inpatients, outpatients and emergency cases.There are also different types of imaging produced: ultrasound, fluoroscopy/digital subtraction angiography and computerized axial tomography (CT/CAT scan).The coordination of departmental resources and scheduling procedures is a necessary step in improving the efficiency of the department's operation.At present, IGT utilizes a manual version of the operation board to facilitate communications and coordination of all the resources, including radiologists and fellows, anaesthesiologists, technologists and nurses as well as operation, observation and consultation rooms, etc.A computer-based application called "eBoard" implementing board functions is suggested.It can be considered as a transaction processing system which stores and updates necessary data and delivers them in an organized form on request.The application does not require complex computational algorithms for data processing.The data manipulation operations include capturing and entering the data stored in a database, retrieving the data and organizing them in a predefined format.For such types of data processing activities, the utilization of CASE tools is warranted and can be very beneficial.Given that this system should be integrated with other departmental and hospital information systems, the principles of modularity and extensibility of software components become essential.The object-oriented approach (OOA) in combination with the Unified Modeling Language (UML) have been applied in the development of the eBoard information system for the IGT department.An obvious advantage of the UML is the availability of multiple commercial and free code-generating and round-trip engineering CASE-tools.As a comprehensive design, modeling and development CASE tool supporting the OOA and integrated with the UML, IBM® Rational® Software Architect was selected.Although many IT projects in health care do utilize the UML, it is possible to conclude that a common methodology or standardized framework to do so is still lacking.This issue needs a further elaboration and will be addressed in the presentation.The paper is intended to inspire and shape the discussion within the session on "Health Information Systems: Challenges and Solutions".
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".