OBJECTIVES::  To identify the frequency and causes of prescription writing errors and how to reduce these errors. METHODS::  The study was cross-sectional retrospective analysis based. Collection of Data was done from children ward of BMCH Quetta, Pakistan by analysis of patient treatment chart retrospectively by Pharmacist for two months from January-February 2016, Performa was designed for data collection, contains WHO parameter for prescription errors .Data was analyzed by using SPSS version 22. RESULTS::  The total number of 263 patients treatment chart were assessed by Pharmacist, Patient related information; the patient drug allergy not mentioned in 250 (95.1%) and address not mentioned in 05 (1.9%). Prescriber related information; the parameter related to prescriber were; name not mentioned, address / telephone number not mentioned, qualification not mentioned, registration number not mentioned and signature not mentioned in 261 prescriptions which was (99.23 %) errors. Drug information related; directions for drug use not mentioned and route of drug not mentioned 261 (99.2%). duration of treatment or quantity to be dispensed not mentioned 252 (95.8%) and dosage form not mentioned 07 (2.7%), Miscellaneous; Rx symbol not mentioned 263 (100%), followed by date of drug stop not mentioned 241 (91.6%) and un-approved abbreviation used 240 (91.3%)CONCLUSIONS: There was a high percentage of prescribing errors in inpatient settings. It was concluded that the common prescribing errors were connected to the omission of information, related to prescriber was very high percent, patient related information; such as patient drug allergies was not mentioned, was in high percentage, in drugs related information and miscellaneous information which contains; date of drug start not mentioned, date of drug stop not mentioned, generic name not mentioned, were in high percent. This hints many complications of dispensing, improper dosages and drugs administrating, medicine misapplication, and medicines interactions. The computerized Phsician data entry system should be introduced.