HospitalisationNCT07896161
Evaluation of a DRG-Based Clinical Management Model in a High-Complexity Chilean Hospital
A study testing Support medical decision making in people with Hospitalisation, run by Pontificia Universidad Catolica de Chile at 1 site in Chile.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Hospitalisation
- What is being tested?
- Support medical decision making
- Type of treatment
- Medical device
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 1,167 participants
- Where
- 1 siteChile
- Study dates
- Sep 2026to Dec 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Hospitalized adult patients admitted to any specialized clinical service (medical or surgical).
- Patients managed by attending physicians and clinical teams who have implemented and are actively utilizing the DRG-based clinical management software (the intervention).
- Cases corresponding to Diagnosis-Related Groups (DRGs) selected based on frequency or clinical relevance within the institution's case-mix.
Who cannot join
- Insufficient information in the clinical records
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Chile1 site
Pontificia Universidad Católica de Chie
Santiago
Fernando Poblete, +56223548595, fcpoblete@uc.cl
About this study
Official title: Evaluation and Scaling of a Clinical Management Model Based on the Use of Diagnosis-Related Groups (DRG) to Improve Production Efficiency in a High-complexity Hospital in Chile.
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.
Read the detailed description
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.
- Conditions
- Hospitalisation
- Being tested
- Support medical decision making, Standard Care (in control arm)
- Keywords
- Interventional, Diagnosis-Related Groups (DRGs), efficiency
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Support medical decision makingDevice
Implementation of a system displaying clinical trajectories and indicators to support medical decision-making without altering medical treatments, diagnoses, or clinical decision.
Standard Care (in control arm)Other
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
| Study group | Role | What they receive |
|---|---|---|
| Arm 1: Intervention Group (DRG Model) | Experimental | Hospitalized patients managed using clinical information dashboards and concurrent DRG coding Receives: Device: Support medical decision making |
| Arm 2: Control Group (Usual Care) | Placebo comparator | Hospitalized patients receiving standard care according to current hospital clinical protocols, extracted from anonymized databases. Receives: Other: Standard Care (in control arm) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Clinical Efficiency - Average Length of Stay
Measurement of the adjusted average length of hospital stay as a standardized efficiency indicator.
Measured: 12 months from the start of the DRG model
Secondary outcomes (5)
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
Measured: 12 months from the start of the DRG model
Adverse Events and Infections
Rate of healthcare-associated infections and recorded adverse events
Measured: 12 months from the start of the DRG model
Readmissions and Mortality
Rate of related readmissions and in-hospital mortality.
Measured: 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.
Measured: 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.
Measured: 12 months from the start of the DRG model
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Oct 2026
- Study startSep 2026 (estimated)
- Primary completionMay 2027 (estimated)
- Study completionDec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for HospitalisationStudies of the same condition, open and under way.
- More trials run by Pontificia Universidad Catolica de ChileThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Model description
- Arm 1: Intervention Group (DRG Model). Hospitalized patients managed using clinical information dashboards and concurrent DRG coding. Arm 2: Control Group (Usual Care). Hospitalized patients receiving standard care according to current hospital clinical protocols, extracted from anonymized databases. Intervention: Implementation of an IT system displaying clinical trajectories and indicators to support medical decision-making without altering medical treatments, diagnoses, or clinical decisions
- Masking
- None (open label)
- Enrolment
- 1,167 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Pontificia Universidad Catolica de Chile
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Fernando Poblete Arrué, Pontificia Universidad Catolica de Chile
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07896161
- Sponsor's protocol ID
- 250612020
- Other IDs
- FONDEF ID25I10300
- Status last verified
- Oct 2026
- First submitted
- 19 Oct 2026
- Last updated
- 26 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 26 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation and Scaling of a Clinical Management Model Based on the Use of Diagnosis-Related Groups (DRG) to Improve Production Efficiency in a High-complexity Hospital in Chile.
- ClinicalTrials.gov ID
- NCT07896161
- Acronym / sponsor ID
- 250612020
- Conditions
- Hospitalisation
- Keywords
- Interventional, Diagnosis-Related Groups (DRGs), efficiency
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 1,167 participants (estimated)
- Lead sponsor
- Pontificia Universidad Catolica de ChileUniversity, hospital or other
- Study start
- Sep 2026 (estimated)
- Primary completion
- May 2027 (estimated)
- Study completion
- Dec 2027 (estimated)
- First posted
- 26 Oct 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Arm 1: Intervention Group (DRG Model). Hospitalized patients managed using clinical information dashboards and concurrent DRG coding. Arm 2: Control Group (Usual Care). Hospitalized patients receiving standard care according to current hospital clinical protocols, extracted from anonymized databases. Intervention: Implementation of an IT system displaying clinical trajectories and indicators to support medical decision-making without altering medical treatments, diagnoses, or clinical decisions
| Arm | Type | Receives |
|---|---|---|
| Arm 1: Intervention Group (DRG Model) | Experimental | Device: Support medical decision makingHospitalized patients managed using clinical information dashboards and concurrent DRG coding |
| Arm 2: Control Group (Usual Care) | Placebo comparator | Other: Standard Care (in control arm)Hospitalized patients receiving standard care according to current hospital clinical protocols, extracted from anonymized databases. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Hospitalized adult patients admitted to any specialized clinical service (medical or surgical).
- Patients managed by attending physicians and clinical teams who have implemented and are actively utilizing the DRG-based clinical management software (the intervention).
- Cases corresponding to Diagnosis-Related Groups (DRGs) selected based on frequency or clinical relevance within the institution's case-mix.
Key exclusion criteria (1 listed)
- Insufficient information in the clinical records
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Support medical decision makingImplementation of a system displaying clinical trajectories and indicators to support medical decision-making without altering medical treatments, diagnoses, or clinical decision. | Device | Arm 1: Intervention Group (DRG Model) |
| Standard Care (in control arm)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 | Other | Arm 2: Control Group (Usual Care) |
Primary outcome
Clinical Efficiency - Average Length of Stay
Time frame: 12 months from the start of the DRG model
Measurement of the adjusted average length of hospital stay as a standardized efficiency indicator.
5 secondary outcomes
Quality of Care (Clinical Audit)
Time frame: 12 months from the start of the DRG model
Adverse Events and Infections
Time frame: 12 months from the start of the DRG model
Readmissions and Mortality
Time frame: 12 months from the start of the DRG model.
Usability
Time frame: 12 months from the start of the DRG model
Experience and acceptance
Time frame: 12 months from the start of the DRG model
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Oct 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Support medical decision making in people with Hospitalisation, run by Pontificia Universidad Catolica de Chile at 1 site in Chile.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 26 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Chile. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Fernando Poblete, MD (+56 9 91398760, fcpoblete@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Clinical Efficiency - Average Length of Stay (time frame: 12 months from the start of the DRG model). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Oct 2026.