Value Co-creation in the Health Service Ecosystems: The Enabling Role of Institutional Arrangements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The health care service system is currently undergoing a profound revolution that has put the patient at the core of health outcome co-creation. Patient-centered care could be associated with Service Dominant Logic that looks at co-creation process as a dynamic resources’ integration between actors. From this standpoint, the need for a broader vision of value creation process towards a service ecosystem perspective is emerging. This paper includes an overview of the scientific literature and reports on a narrative case study analysis concerning the "International Consortium for Health Outcomes Measurement" in an attempt to nourish the debate on the different ways that multiple actors can collaboratively shape a health service ecosystem. Findings reveal that co-creation practices, involving multiple actors who belong to different ecosystem levels, led to mutual adjustments and to on-going shared changes. These processes directly influenced health outcome creation, which is reframed in light of patients’ needs, expectations, and experiences. Therefore, patients are assuming the role of health outcome “co-creator”, interacting with all other ecosystems actors (e.g. physicians, institutions, NGOs, health managers, ICTs providers etc.). This study represents a first and preliminary attempt to investigate a real example of dynamic resources’ exchange, based on the contribution of multiple interacting actors and on the role of interdepend and interacting institutions in value practices.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it