select prescribe_id,prescribe_code_url ,prescribe_img_store_url,source,cycle,icd_code,prescribe_type ,recipe_type,patient_birthday,drug_doctor_sign_url,prescribe_doctor_id ,doctor_sign_url,prescribe_doctor_sign_url, inquiry_order_id, store_order_id , user_id, patient_id, prescribe_code, patient_descs, now_illness, history_illness , patient_age, patient_name, weight, is_history_allergic, history_allergic, liver_unusual , renal_unusual, is_lactation, patient_tel, patient_gender, record_pic, prescribe_img_url , audit_reason, diagnose, doctor_id,drug_doctor_id, create_time, status, audit_time,remark ,usage_json,store_id,doctor_confirm, start_operate_time,end_operate_time,operate_second,third_party_user_id,is_send_to_third_party from fs_prescribe and prescribe_type = #{prescribeType} and inquiry_order_id = #{inquiryOrderId} and store_order_id = #{storeOrderId} and user_id = #{userId} and patient_id = #{patientId} and prescribe_code = #{prescribeCode} and patient_descs = #{patientDescs} and now_illness = #{nowIllness} and history_illness = #{historyIllness} and patient_age = #{patientAge} and patient_name like concat('%', #{patientName}, '%') and weight = #{weight} and is_history_allergic = #{isHistoryAllergic} and history_allergic = #{historyAllergic} and liver_unusual = #{liverUnusual} and renal_unusual = #{renalUnusual} and is_lactation = #{isLactation} and patient_tel = #{patientTel} and patient_gender = #{patientGender} and record_pic = #{recordPic} and prescribe_img_url = #{prescribeImgUrl} and audit_reason = #{auditReason} and diagnose = #{diagnose} and doctor_id = #{doctorId} and status = #{status} and audit_time = #{auditTime} and doctor_confirm = #{doctorConfirm} and third_party_user_id = #{thirdPartyUserId} and is_send_to_third_party = #{isSendToThirdParty} order by prescribe_id desc where prescribe_id = #{prescribeId} insert into fs_prescribe prescribe_type, inquiry_order_id, store_order_id, user_id, patient_id, prescribe_code, patient_descs, now_illness, history_illness, patient_age, patient_name, weight, is_history_allergic, history_allergic, liver_unusual, renal_unusual, is_lactation, patient_tel, patient_gender, record_pic, prescribe_img_url, audit_reason, diagnose, doctor_id, drug_doctor_id, create_time, status, audit_time, remark, usage_json, store_id, prescribe_doctor_id, doctor_sign_url, prescribe_doctor_sign_url, drug_doctor_sign_url, patient_birthday, recipe_type, prescribe_code_url, cycle, icd_code, source, prescribe_img_store_url, doctor_confirm, start_operate_time, end_operate_time, operate_second, third_party_user_id, is_send_to_third_party, #{prescribeType}, #{inquiryOrderId}, #{storeOrderId}, #{userId}, #{patientId}, #{prescribeCode}, #{patientDescs}, #{nowIllness}, #{historyIllness}, #{patientAge}, #{patientName}, #{weight}, #{isHistoryAllergic}, #{historyAllergic}, #{liverUnusual}, #{renalUnusual}, #{isLactation}, #{patientTel}, #{patientGender}, #{recordPic}, #{prescribeImgUrl}, #{auditReason}, #{diagnose}, #{doctorId}, #{drugDoctorId}, #{createTime}, #{status}, #{auditTime}, #{remark}, #{usageJson}, #{storeId}, #{prescribeDoctorId}, #{doctorSignUrl}, #{prescribeDoctorSignUrl}, #{drugDoctorSignUrl}, #{patientBirthday}, #{recipeType}, #{prescribeCodeUrl}, #{cycle}, #{icdCode}, #{source}, #{prescribeImgStoreUrl}, #{doctorConfirm}, #{startOperateTime}, #{endOperateTime}, #{operateSecond}, #{thirdPartyUserId}, #{isSendToThirdParty}, update fs_prescribe prescribe_type = #{prescribeType}, inquiry_order_id = #{inquiryOrderId}, store_order_id = #{storeOrderId}, user_id = #{userId}, patient_id = #{patientId}, prescribe_code = #{prescribeCode}, patient_descs = #{patientDescs}, now_illness = #{nowIllness}, history_illness = #{historyIllness}, patient_age = #{patientAge}, patient_name = #{patientName}, weight = #{weight}, is_history_allergic = #{isHistoryAllergic}, history_allergic = #{historyAllergic}, liver_unusual = #{liverUnusual}, renal_unusual = #{renalUnusual}, is_lactation = #{isLactation}, patient_tel = #{patientTel}, patient_gender = #{patientGender}, record_pic = #{recordPic}, prescribe_img_url = #{prescribeImgUrl}, audit_reason = #{auditReason}, diagnose = #{diagnose}, doctor_id = #{doctorId}, drug_doctor_id = #{drugDoctorId}, create_time = #{createTime}, status = #{status}, audit_time = #{auditTime}, remark = #{remark}, usage_json = #{usageJson}, store_id = #{storeId}, prescribe_doctor_id = #{prescribeDoctorId}, doctor_sign_url = #{doctorSignUrl}, prescribe_doctor_sign_url = #{prescribeDoctorSignUrl}, drug_doctor_sign_url = #{drugDoctorSignUrl}, patient_birthday = #{patientBirthday}, recipe_type = #{recipeType}, prescribe_code_url = #{prescribeCodeUrl}, cycle = #{cycle}, icd_code = #{icdCode}, source = #{source}, prescribe_img_store_url = #{prescribeImgStoreUrl}, doctor_confirm = #{doctorConfirm}, start_operate_time = #{startOperateTime}, end_operate_time = #{endOperateTime}, operate_second = #{operateSecond}, third_party_user_id = #{thirdPartyUserId}, is_send_to_third_party = #{isSendToThirdParty}, where prescribe_id = #{prescribeId} delete from fs_prescribe where prescribe_id = #{prescribeId} delete from fs_prescribe where prescribe_id in #{prescribeId} select count(1) from fs_prescribe so LEFT JOIN fs_store_order fso ON fso.order_id = so.store_order_id LEFT JOIN fs_doctor dc ON dc.doctor_id = so.doctor_id where 1=1 and fso.company_id = #{companyId} and fso.company_user_id = #{companyUserId} and so.prescribe_type = #{prescribeType} and so.inquiry_order_id = #{inquiryOrderId} and so.store_order_id = #{storeOrderId} and so.user_id = #{userId} and so.prescribe_code = #{prescribeCode} and so.patient_name like concat('%', #{patientName}, '%') and dc.doctor_name like concat('%', #{doctorName}, '%') and so.patient_tel = #{patientTel} and so.doctor_id = #{doctorId} and so.status = #{status} and DATE(so.create_time) >= DATE(#{sTime}) and DATE(so.create_time) <= DATE(#{eTime}) and DATE(so.audit_time) >= DATE(#{auditSTime}) and DATE(so.audit_time) <= DATE(#{auditETime}) and so.audit_time = #{auditTime} and fso.order_code = #{orderCode} and fso.`status` = #{orderStatus} and so.store_id = #{storeId} select so.*,CAST(operate_second AS CHAR) operateTime,us.nick_name,dc.doctor_name, dp.doctor_name doctor_drug_name, fso.order_code,fso.`status` order_status, fse.store_name, CASE WHEN uics.order_code IS NOT NULL THEN 1 WHEN so.third_party_user_id IS NOT NULL AND infoc.info_source = 2 THEN 2 ELSE NULL END as prescribeSource FROM fs_prescribe so LEFT JOIN fs_user us ON us.user_id=so.user_id LEFT JOIN fs_doctor dc ON dc.doctor_id = so.doctor_id LEFT JOIN fs_doctor dp ON dp.doctor_id =so.drug_doctor_id LEFT JOIN fs_store_order fso ON fso.order_id = so.store_order_id LEFT JOIN fs_store fse ON fse.store_id = so.store_id LEFT JOIN fs_user_information_collection_schedule uics ON uics.order_code = fso.order_code LEFT JOIN fs_user_information_collection infoc ON infoc.third_party_user_id = so.third_party_user_id so.doctor_confirm != -1 AND (fso.order_id IS NULL OR (fso.status != -3 AND fso.status != -2)) and fso.company_id = #{companyId} and fso.company_user_id = #{companyUserId} and so.prescribe_type = #{prescribeType} and so.inquiry_order_id = #{inquiryOrderId} and so.store_order_id = #{storeOrderId} and so.user_id = #{userId} and so.prescribe_code = #{prescribeCode} and so.patient_name like concat('%', #{patientName}, '%') and dc.doctor_name like concat('%', #{doctorName}, '%') and so.patient_tel = #{patientTel} and so.doctor_id = #{doctorId} and so.status = #{status} and DATE(so.create_time) >= DATE(#{sTime}) and DATE(so.create_time) <= DATE(#{eTime}) and DATE(so.audit_time) >= DATE(#{auditSTime}) and DATE(so.audit_time) <= DATE(#{auditETime}) and so.audit_time = #{auditTime} and fso.order_code = #{orderCode} and fso.`status` = #{orderStatus} and so.store_id = #{storeId} order by CASE WHEN so.doctor_confirm = 0 THEN 0 ELSE 1 END, so.prescribe_id desc SELECT fp.doctor_id, fd.doctor_name, fd.dept_id, fd.hospital_id, fd.group_code, -- 平均操作时长 AVG(fp.operate_second) AS avgOperateSecond, -- 操作次数 (等于总处方数) COUNT(*) as operation, -- 开方数量 COUNT(DISTINCT fp.prescribe_code) as prescribeNum, -- 拒方率计算 ROUND(COUNT(CASE WHEN fp.status = 2 THEN 1 END) * 1.0 / COUNT(*), 4) AS rejectRate, de.dept_name, ho.hospital_name FROM fs_prescribe fp LEFT JOIN fs_doctor fd ON fp.doctor_id = fd.doctor_id LEFT JOIN fs_department de ON de.dept_id=fd.dept_id LEFT JOIN fs_hospital ho ON ho.hospital_id=fd.hospital_id WHERE fp.start_operate_time IS NOT NULL AND fp.end_operate_time IS NOT NULL AND fp.operate_second IS NOT NULL AND fd.group_code = #{groupCode} AND fd.doctor_name LIKE CONCAT('%', #{doctorName}, '%') AND de.dept_id = #{deptId} AND ho.hospital_id = #{hospitalId} AND fp.start_operate_time >= #{startOperateTime} AND fp.end_operate_time <= #{endOperateTime} AND YEAR(fp.start_operate_time) = #{queryYear} AND MONTH(fp.start_operate_time) = #{queryMonth} GROUP BY fp.doctor_id, fd.doctor_name, fd.dept_id, fd.hospital_id HAVING 1=1 AND ROUND(COUNT(CASE WHEN fp.status = 2 THEN 1 END) * 1.0 / COUNT(*), 4) >= #{minRejectRate} AND ROUND(COUNT(CASE WHEN fp.status = 2 THEN 1 END) * 1.0 / COUNT(*), 4) <= #{maxRejectRate} ORDER BY prescribeNum rejectRate avgOperateSecond DESC ASC select * from fs_prescribe where third_party_user_id = #{thirdPartyUserId} and (status = 0 or status = 2) where status =1 and is_send_to_third_party =0 and prescribe_img_url is NOT NULL order by create_time asc limit 10 where user_id in #{userId} order by prescribe_id desc update fs_prescribe set is_send_to_third_party = 1 where prescribe_id in #{prescribeId} and status = 1 and is_send_to_third_party = 0 and prescribe_img_url is not null