Background: Preventive health care is a revolutionary step in the field of health care, which can help people diagnose disease at an early stage. And given the health setup in our country, one has to go through a series of tests some of which are not required at all. This ultimately leads to unnecessary expenditure and loss of time.
Objective: To evaluate disease risk prevailing in population and recommend a personalized diagnostic plan instead of a generic plan.
Materials and Methods: We conducted an analysis using data collected from 140 patients through an online health assessment questionnaire. All of the participants in study were screened for a risk of them having a particular disease and were assigned a personalized diagnostic plan based on their risk-profile using an algorithm.
Result: The average diagnostic cost came substantially lower than the tests recommended by usual health preventive checkup plans. This could result in highly judicious utilization of health-care resources, money, and participant time without creating any significant compromise in screening sensitivity.
Conclusion: Personalized diagnostic plans using effective screening methods could lead to saving of significant amount, up to 80% in some cases, of money and time for an individual.
Key words: Health economics, preventive health, screening, cost-impact analysis, preventive check-ups
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