Healthcare and Life Sciences are among the most data-rich and privacy-sensitive sectors in the world.
Patient biometric profiles, pathology records, primary research, scientific analysis, clinical trials and hospital records all generate petabytes of valuable one-of-a-kind data every year.
But what do we do with it?
Many have worked hard to transform their data management systems and IT infrastructure to capture and position this data for greater usage by migrating to the cloud. However, an enormous trove of legacy data remains offline on backup tapes, and over time this data is becoming increasingly difficult to access and its infrastructure expensive to maintain.
Liberating data from legacy backup tapes and systems enables these unique multi-generational datasets to be used in research for algorithm training that drives better patient outcomes.
Tape Ark can liberate this data to make it accessible in the cloud, ready to connect to current applications or merge with existing datasets. Having all of your data (including your historical content) is something that has never before been possible with legacy data.
Legacy tape data in the healthcare sector contains the historical data accumulated over decades in various formats and systems. The importance of legacy data in the healthcare sector cannot be overstated as it can provide:
Continuity of care:
- Patient history: Legacy data includes comprehensive patient medical histories, which are crucial for diagnosing and treating patients accurately. Understanding past medical conditions, treatments, and responses can guide current clinical decisions.
- Longitudinal data: Tracking the progression of diseases and responses to treatments over time can provide insights that are not apparent from short-term data alone.
Research and development:
- Epidemiological studies: Historical health data is essential for studying disease patterns, outbreaks, and long-term health trends.
- Clinical trials: Legacy data can help identify eligible candidates for clinical trials and can serve as a control group for new studies.
Health policy and planning:
- Resource allocation: Analysis of legacy data can inform decisions about resource allocation, identifying areas with the greatest need for medical services.
- Public health initiatives: Long-term data helps in designing effective public health campaigns and preventive measures by understanding the impact of previous initiatives.