Traditional scientific research management suffers from problems such as scattered archives,lack of effective dynamic process supervision for projects,weak data analysis capabilities,and low sharing,making it difficult to meet the unified management of multiple hospital areas in medical groups and the independent management of each branch.The group has devel-oped an intelligent scientific research management system based on artificial big data by constructing the framework and designing the content of various demand modules for scientific research management.This system achieves full coverage management of sci-entific research activities,designing interrelated information data networks for scientific research project process management,a-chievement management,academic(specialized)construction management,postdoctoral management,etc.,realizing informa-tionization and refined management of multiple campuses within the group.Analyze the technological values of each hospital,de-partment,and personnel to provide powerful reference for decision-makers.The information-based scientific research manage-ment system is an important guarantee for hospital groups to intelligently manage and efficiently carry out scientific research work.

Traditional scientific research management suffers from problems such as scattered archives,lack of effective dynamic process supervision for projects,weak data analysis capabilities,and low sharing,making it difficult to meet the unified management of multiple hospital areas in medical groups and the independent management of each branch.The group has devel-oped an intelligent scientific research management system based on artificial big data by constructing the framework and designing the content of various demand modules for scientific research management.This system achieves full coverage management of sci-entific research activities,designing interrelated information data networks for scientific research project process management,a-chievement management,academic(specialized)construction management,postdoctoral management,etc.,realizing informa-tionization and refined management of multiple campuses within the group.Analyze the technological values of each hospital,de-partment,and personnel to provide powerful reference for decision-makers.The information-based scientific research manage-ment system is an important guarantee for hospital groups to intelligently manage and efficiently carry out scientific research work.

OBJECTIVETo investigate the surgical techniques and therapeutic effect of eyelid divided nevus.

METHODSFrom January 2000 to January 2014, 27 cases with 27 eyelid divided nevi were treated by staged excision (2 cases), or full-thickness skin graft (20 cases) or frontal and facial expanded flaps (3 cases), or combined expanded flaps with skin grafts (2 cases) for large lesions. One case with skin graft underwent secondary treatment with expanded flap due to obvious scar.

RESULTSExcept for one case with residue lesion (0. 5 cm x 0. 5 cm), all the other cases underwent successful treatment with primary healing. All the patients were followed up for 3-48 months (average, 7. 4 months). Except for one case with secondary expanded flap treatment, all the other patients were satisfied with aesthetic and functional results. No occurrence happened.

CONCLUSIONSStaged excision and full-thickness skin grafts are simple and effective method for eyelid divided nevus. For large lesions, expanded flap, or combined with skin graft should be considered.

Cicatrix ; surgery ; Esthetics ; Eyelid Neoplasms ; pathology ; surgery ; Humans ; Nevus ; pathology ; surgery ; Skin Transplantation ; Surgical Flaps ; Tissue Expansion ; Wound Healing