An interventional study of Support medical decision making and Standard Care (in control arm) in Hospitalisation, sponsored by Pontificia Universidad Catolica de Chile. Not yet recruiting at 1 site in Chile. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-10-26.
Sponsored by Pontificia Universidad Catolica de Chile · Not applicable, Interventional, and Health services research
This study aims to evaluate the effectiveness and scalability of a clinical management model based on the use of Diagnosis-Related Groups (DRGs) in a high-complexity hospital in Chile. A quasi-experimental design will be used, comparing efficiency and quality indicators between patients managed under the new DRG model versus usual care.
The intervention involves concurrent DRG coding from the patient's admission, integrating this information into the electronic medical record and visual dashboards for clinical and administrative teams. The model will allow teams to anticipate clinical trajectories, facilitate decision-making, and monitor key indicators in real-time. It is expected to demonstrate a significant reduction in the average length of stay without compromising the quality of care.
Pontificia Universidad Catolica de Chile is the lead sponsor of 224 studies on the registry; 59 are open to participants now.
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Exclusion Criteria:
Hospitalized patients managed using clinical information dashboards and concurrent DRG coding
Device: Support medical decision making
Hospitalized patients receiving standard care according to current hospital clinical protocols, extracted from anonymized databases.
Other: Standard Care (in control arm)
Implementation of a system displaying clinical trajectories and indicators to support medical decision-making without altering medical treatments, diagnoses, or clinical decision.
Hospitalized patients receiving standard care according to current clinical protocols at the institution. Data for this group will be extracted from anonymized electronic medical records and the Minimum Basic Data Set (MBDS). These patients will not be exposed to the concurrent DRG coding model or visual clinical dashboards. The extracted data will match the selected DRGs (Case-Mix) of the intervention group to compare outcomes such as average length of stay (LOS), readmission rates, and in-hospital mortality, adjusted for risk and severity
Clinical Efficiency - Average Length of Stay
Measurement of the adjusted average length of hospital stay as a standardized efficiency indicator.
Time frame: 12 months from the start of the DRG model
Quality of Care (Clinical Audit)
Evaluation based on structured guidelines designed to evaluate compliance with quality standards for the most frequent DRGs, with standardized scores from 0 to 100
Time frame: 12 months from the start of the DRG model
Adverse Events and Infections
Rate of healthcare-associated infections and recorded adverse events
Time frame: 12 months from the start of the DRG model
Readmissions and Mortality
Rate of related readmissions and in-hospital mortality.
Time frame: 12 months from the start of the DRG model.
Usability
Participating clinical care teams will be invited to complete the System Usability Scale (SUS) survey to evaluate the usability of computer systems (software, applications, web platforms). Specifically, the SUS scale consists of 10 statements rated on a 1-to-5 Likert scale. Scores are expressed on a scale of 0 to 100, with 68 considered the minimum threshold for positive usability.
Time frame: 12 months from the start of the DRG model
Experience and acceptance
Semi-structured interviews will be conducted to explore the experiences, perceptions, and acceptance of clinical and administrative teams regarding the implementation of the DRG-based clinical management model. The goal of these interviews is to: Understand how clinical and administrative staff perceive the usefulness and applicability of the model in their daily practice. Identify facilitators and barriers to its effective implementation (e.g., availability of time, patient load, institutional support, ease of use of the system). Evaluate the integration of the model into clinical and administrative decision-making-that is, whether DRG information is perceived as a potential contributor to improving efficiency or quality.
Time frame: 12 months from the start of the DRG model
Plan to share: No
No publications or documents are linked to this record.
Start is estimated for Sep 2026; primary completion for May 2027, 8 months later.
How these figures are worked out, and which studies are left out of them.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.
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