HEALTHCARE MANAGEMENT: THE CASE-MIX METHODOLOGY

Every patient that visits a care setting has unique medical characteristics. This circumstance makes it very complex to analyze, compare and manage the activity of a care setting or the health status of a population. The case-mix management methodology uses mathematical algorithms to classify patients in homogenous groups in terms of clinical condition and use of resources.

The process is made up of three main parts: coding of clinical information, grouping and analysis of grouped data.

Sigesa case-mix infography

Our products

Thanks to our 20 years of experience in the use of case-mix methodologies we provide our clients with a range of coding, grouping and analytics solutions that allow managers to transform raw patient data into insights. More than 400 hospitals and Health Authorities worldwide trust our products to manage their activity.

Our products include the following services: an analysis of the quality of the information of our customers, data quality improvement recommendations, personalized training sessions, regular monitoring of client satisfaction and fast and reliable customer support.

CODING

ANALYTICS

Sigesa TeamCoder

CODING

Clinical coding is the translation of written clinical documentation about patient care into ICD code format. In order to analyze hospital activity and population health, it is necessary to have all the information coded accurately. Given the variability of cases and the volume of information, coding is a very laborious task and professionals need expert tools to help them code efficiently and with excellent accuracy.

TEAMCODER

Teamcoder is an innovative clinical coding solution designed by Sigesa to cover the growing needs of coding professionals to code information quickly and with the maximum accuracy.

*Product available in: Spain, Portugal and Latin America

SEE PRODUCT
Sigesa grouping DRG

GROUPING

Grouping algorithms structure coded clinical information into homogeneous groups for their subsequent analysis.

GROUPING ALGORITHMS

In Sigesa we work with different grouping algorithms:

· DRGs or Diagnosis Related Groups to classify in-patient hospital activity.

· CRGs or Clinical Risk Groups to stratify population groups.

*Products available in: Spain, Portugal and Latin America.

SEE PRODUCTS
Sigesa decisys

ANALYTICS

Once the information has been coded and grouped, it is essential to have a validation and analysis tool that can effectively extract actionable insights.

DECISYS

decisys is a state-of-the-art case-mix analytics platform. It has been designed to intuitively make insightful analyses of clinical activity, resource consumption, quality of care and population health.

*Available in: Spain, Portugal and Italy.

SEE PRODUCT
Sigesa Alcor herramienta de análisis

ANALYTICS

Once the information has been coded and grouped, it is essential to have a validation and analysis tool that can effectively extract actionable insights.

ALCOR

Alcor is a robust and precise analytics platform. It has been designed specifically for the needs and peculiarities of the Latin American market. It has been designed to make simple and advanced analyses of clinical activity, resource consumption, cost management, quality of care and population health.

*Available in: Latin America.

SEE PRODUCT