Incomplete data can have serious implications for patient outcomes. It can lead to misdiagnosis, inappropriate treatment plans, and ineffective therapies. For example, missing information on a patient's genetic profile can result in the selection of a suboptimal treatment regimen. Ensuring complete and accurate data is crucial for personalized medicine, where treatment plans are tailored to the individual characteristics of each patient.
