
pmid: 20615361
handle: 11573/226228
The ACG (Adjusted Clinical Groups) case-mix system is a classification method of diseases of patients, focused on the person. Depending on the pattern of these morbid conditions, the ACG system assigns each patient to a single group (an ACG group), which allows to capture the effects of a group of diseases in estimates of resource use. Diseases are classified into a diagnostic group (ADG) according to 5 clinical dimensions: duration (acute, recurrent or chronic), severity (minor/major vs stable/unstable), diagnostic assessment (symptoms vs diseases), etiology (infectious, traumatic or other), specialty (medical, surgical, obstetric, ...). All diseases can be classified into these dimensions and into one of 32 groups. The ACG case-mix system uses an algorithm to classify each patient into one of 93 ACG categories. Each person is assigned to an ACG according to his ADG combination, his age and his gender. With the repayment system "case-mix", surgery has become central for all great hospitals in virtue of its great productive potential. The case-mix index is one of the factors which influence the duration of hospitalization. The case-mix system has emphasized the importance of the duration of hospitalization, encouraging the planning of programs in order to discharge patients early after surgical operations. It has also stimulated the surgical activity in operating units with "budget" forecasts in which resources are provided according to an expected level of specialist surgery.
Italy, International Classification of Diseases, Surgicenters, Humans, Length of Stay, Algorithms, Diagnosis-Related Groups
Italy, International Classification of Diseases, Surgicenters, Humans, Length of Stay, Algorithms, Diagnosis-Related Groups
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
