Abnormal level of substances chiefly nonmedicinal as to source in specimens from female genital organs
ICD-10 R87.3 is a billable code used to indicate a diagnosis of abnormal level of substances chiefly nonmedicinal as to source in specimens from female genital organs.
R87.3 is used to classify abnormal laboratory findings related to the presence of nonmedicinal substances in specimens obtained from female genital organs. This may include abnormal levels of substances such as hormones, proteins, or metabolites that are not derived from medications. The clinical significance of these findings can vary widely, ranging from benign conditions to serious pathologies. Common causes of abnormal levels may include hormonal imbalances, infections, or neoplastic processes. Symptoms may be nonspecific, including abnormal vaginal discharge, pelvic pain, or menstrual irregularities. The diagnostic approach typically involves a thorough clinical history, physical examination, and targeted laboratory tests to identify the underlying cause of the abnormal findings. Accurate coding requires careful documentation of the clinical context and the specific substances involved.
Detailed clinical history, laboratory results, and any relevant imaging studies.
Evaluation of abnormal Pap smears, hormonal assays, or pelvic ultrasound findings.
Ensure that the clinical significance of abnormal findings is clearly documented.
Acute care notes, including vital signs, presenting symptoms, and immediate lab results.
Acute pelvic pain with abnormal lab findings indicating possible infection or hemorrhage.
Rapid assessment and documentation of findings are crucial for accurate coding.
Used when a Pap smear indicates abnormal findings requiring further investigation.
Document the results of the Pap smear and any follow-up tests.
Gynecological specialists should ensure accurate coding based on lab results.
R87.3 includes abnormal levels of nonmedicinal substances such as hormones, proteins, or metabolites found in specimens from female genital organs, which may indicate various underlying conditions.
