The case-mix classification consists in identifying a series of clinical conditions, so that they can be univocally clustered in groups which are mutually exclusive. Homogeneous conditions are assigned to the same "group" or "class". The criteria for homogeneity can be much different, depending on the goal of the classification itself. Many grouping systems are acknowledged internationally. They may follow the criterion of homogeneity with respect to aetiology (ICD system), resource consumption during an inpatient stay in acute care facilties (DRG system), in a rehabilitation unit (FIM-FRG systems), or in a nursing home (RUG system). Each of these systems strives to keep some distinction across groups, based on clinical criteria, even when ...
The introduction of casemix funding for Australian acute health care services has challenged Social ...
This paper examines the quality of routinely collected information in an Iranian hospital in a trial...
Abstract Background To evaluate the performance of the patient clinical complexity level (PCCL) mech...
Case mix classification systems have been adopted in many countries as a method to manage and financ...
The authors present a modular set of patient classification systems designed for medical rehabilitat...
Background: Inpatient care in Swiss rehabilitation clinics is currently reimbursed by daily tariffs ...
The idea of using casemix classification to manage hospital services is not new, but has been limite...
Background There are limited case-mix classification systems for primary care settings which are app...
There are several versions of the Diagnosis Related Group (DRG) classification systems that are used...
Background: There is a need to develop other casemix classifications, apart from DRG, for sub-acute ...
Diagnosis related groups (DRGs) were the first health management tool to group patients in clinical ...
National audienceRecently, the need to develop a Case Mix Classification System for people with phys...
Abstract Background Severity of illness is an omnipresent confounder in health services research. Re...
payment using diagnosis-related groups (DRGs) has stimulated research to develop case-mix grouping s...
The present dissertation was focused on the study and development of a clinical data mining methodol...
The introduction of casemix funding for Australian acute health care services has challenged Social ...
This paper examines the quality of routinely collected information in an Iranian hospital in a trial...
Abstract Background To evaluate the performance of the patient clinical complexity level (PCCL) mech...
Case mix classification systems have been adopted in many countries as a method to manage and financ...
The authors present a modular set of patient classification systems designed for medical rehabilitat...
Background: Inpatient care in Swiss rehabilitation clinics is currently reimbursed by daily tariffs ...
The idea of using casemix classification to manage hospital services is not new, but has been limite...
Background There are limited case-mix classification systems for primary care settings which are app...
There are several versions of the Diagnosis Related Group (DRG) classification systems that are used...
Background: There is a need to develop other casemix classifications, apart from DRG, for sub-acute ...
Diagnosis related groups (DRGs) were the first health management tool to group patients in clinical ...
National audienceRecently, the need to develop a Case Mix Classification System for people with phys...
Abstract Background Severity of illness is an omnipresent confounder in health services research. Re...
payment using diagnosis-related groups (DRGs) has stimulated research to develop case-mix grouping s...
The present dissertation was focused on the study and development of a clinical data mining methodol...
The introduction of casemix funding for Australian acute health care services has challenged Social ...
This paper examines the quality of routinely collected information in an Iranian hospital in a trial...
Abstract Background To evaluate the performance of the patient clinical complexity level (PCCL) mech...