Nasim Sadat Mosavi
Failure of the old model of medical decision making, “one-size-fits-all”, has encouraged the healthcare/medicine landscape to take advantage of big data and analytics for tailoring the treatments, based on individual patient’s differences in gen, environment, and lifestyle. Whereas literature has demonstrated a strong contribution to the adoption of healthcare analytics over patient’s data, for better decision making, understanding the level and the degree that each type of analytics influences decision making, is crucial for addressing the type of problems. While descriptive, diagnostic, and predictive analytics generate knowledge for decision support systems, prescriptive analytics recommends a proactive decision. This study aims to highlight the influential and effective role of prescriptive analytics for fulfilling precision medicine which is defined as an emerging approach in medical decision making.
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