At MSA, we work with hospitals, drug companies, researchers, labs, and healthcare data managers around the world.
Our greatest joy is helping them improve and save lives through smart, affordable data solutions. Read on to learn about some of our recent successes.
In the world of organ transplants, having the right information at hand can literally mean the difference between life and death. The ability to integrate data generated from disparate sources, augment it with transplant observations and view it as a whole is key.
In this case, a world-renowned medical and research center had no single system to view patient status and clinical information or extract useable data quickly. Doctors had to wait on IT report requests or spend time navigating through multiple sources of data, which hindered the decision-making process.
This medical center wanted to consolidate transplant data for better patient decision support and management, as well as for use in research and quality control. They wanted to interface their lab system with their Electronic Medical Record (EMR) and other systems that house transplant data into a consolidated application.
For help, this world-renowned transplant center turned to Life Sciences at MSA.
Here was a challenge for all kinds of companies in the health care industry: companies commoditizing their health care data assets, health care informatics companies, medical researchers, labs, drug companies, health insurance companies, and hospitals.
These entities generate and/or receive different types of patient data from different sources – data including prescription claims, doctor claims, hospital observations, lab results, Electronic Medical Records and many other sources.
To get holistic patient views and provide value-added applications, these companies need to be able to align patient information across the multiple data sources.
At the same time, they need to create and maintain anonymous patient databases that are HIPAA compliant and cleared of patient Protected Healthcare Information (PHI). This requires a third-party to de-identify the data and assign a customer-specific universal patient identifier to each patient. The patient identifier must be irreversible but repeatable across multiple data sets. And the same patient identifier must be created for the same patient over time for those data sets.
Health care entities everywhere have found the perfect prescription for these problems within the Life Sciences division at MSA.