OMOP (Observational Medical Outcomes Partnership) is a Common Data Model (CDM) that standardizes the structure and content of clinical and administrative data across healthcare systems. This article explains its key features, how to transform existing data into OMOP, and the differences between SNOMED CT, LOINC, and RxNorm
K-anonymity is an anonymization technique that protects privacy in databases by ensuring that each combination of quasi-identifier attributes appears at least k times. While effective, it should be combined with other strategies to minimize re-identification risks and ensure robust privacy protection.
Value-Based Healthcare (VBHC) has revolutionized how health outcomes are measured. However, technology is an essential facilitator, not the ultimate solution. This article examines what is asked of technology in health outcome measurement projects, emphasizing the need for data protection, interoperability, automation, and an analytical approach to derive value from the collected data.
The Value Based Healthcare (VBHC) aims to generate the maximum possible value in the treatment of each patient, being the standardization in the measurement of said value the first step to make it possible.
Knowing the quality of your services and how they are valued by your patients is key to improving care and, consequently, your results. How? Thanks to the integration of Patient Smart Value, the easy solution to implement Value-Based Healthcare in your healthcare center.