Technology now plays a growing role in Spanish healthcare. The health care environment is evolving towards a computerized patient monitoring system that uses statistical procedures in order to prevent and control illnesses.
Business need:
The hospital needed to identify good and bad prognosis factors in long-term monitoring of patients being treated for eating disorders. Furthermore, the hospital sought to resolve statistical treatment issues in order to achieve more reliable results. Another of the hospital’s objectives was greater efficiency in data management to diagnose illnesses earlier and cure patients more quickly.
Solution:
The key to achieving effectiveness in the crossing and processing of statistical data is to use a predictive analytics solution and thus be able to identify which treatment aspects could influence patients’ clinical outcomes.
Benefits:
• Knowing the relevance of treatment expectations at the beginning of treatment • Preventing bad responses to treatments by increasing trust in the process and providing information on changes in treatments
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