Nurse Rostering at the Hospital Authority of Hong Kong

نویسندگان

  • Andy Hon Wai Chun
  • Steve Ho Chuen Chan
  • Garbbie Pui Shan Lam
  • Francis Ming Fai Tsang
  • Jean Wong
  • Dennis Wai Ming Yeung
چکیده

This paper describes the Rostering Engine (RE) that we have developed for the Hospital Authority (HA), Hong Kong as part of their Staff Rostering System (SRS) using AI constraint-programming techniques. The Hospital Authority manages over 40 public hospitals in Hong Kong. With close to 1500 wards total, the amount of resources needed to produce weekly staff rosters for each ward is tremendous and extremely time consuming. Previously, most staff rosters were generated manually. Without computer records, it was difficult for HA to produce workforce statistics or to improve resource efficiency. In early 1997, the Hospital Authority embarked on a strategic Staff Rostering System project to provide automation support in managing their large workforce of over 48,000 full-time hospital staff. The Staff Rostering System performs ward-level rostering based on ward-specific constraints, staff requests, and work patterns. Version 1 of the system was completed early 1998 and Version 2 was released early 1999. The system is gradually being deployed in different public hospitals across Hong Kong.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Contribution of Ageing to Hospitalisation Days in Hong Kong: A Decomposition Analysis

Background Ageing has become a serious challenge in Hong Kong and globally. It has serious implications for health expenditure, which accounts for nearly 20% of overall government expenditure. Here we assess the contribution of ageing and related factors to hospitalisation days in Hong Kong. We used hospital discharge data from all publicly funded hospitals in Hong Kong between 2001 and 2012.  ...

متن کامل

Inorganic Arsenic Poisoning Following An Intentional Overdose Of Realgar-Containing Niu Huang Jie Du Pian: A Case report and Literature Review

Background: Niu Huang Jie Du Pian (NHJDP) is a widely used realgar-containing Chinese medicine remedy. Most brands are composed of eight ingredients: Niuhuang (Calculus Bovis), Xionghuang (realgar), gypsum (calcium sulphate), Dahuang (Radix et Rhizoma Rhei), Huangqin (Radix Scutellariae), Jugeng (Platycodon grandiflorum), Bingpian (borneol), and Gancao (Radix Glycyrrhizae uralensis, licorice ro...

متن کامل

Nurse rostering using fuzzy logic: A case study

In this paper, we used the fuzzy set theory for modeling flexible constraints and uncertain data in nurse scheduling problems and proposed a fuzzy linear model for nurse rostering problems. The developed model can produce rosters that satisfy hospital objectives, ward requirements and staff preferences by satisfying their requests as much as possible. Fuzzy sets are used for modeling demands of...

متن کامل

Meckel’s Scan for patient groups with and without gastrointestinal bleeding: A 15 years local review

Introduction: To retrospectively analyze the outcome of patients who underwent Meckel’s scan in a local centre in Hong Kong over the past fifteen years. Diagnostic values in different referring indications were also reviewed. Methods: All patients who referred for Meckel’s scan in a local hospital in Hong Kong from 1/1/1996 to 31/12/2010 were identified. Patients’ demographic data, presenting ...

متن کامل

Solving a nurse rostering problem considering nurses preferences by graph theory approach

Nurse Rostering Problem (NRP) or the Nurse Scheduling Problem (NSP) is a complex scheduling problem that affects hospital personnel on a daily basis all over the world and is known to be NP-hard.The problem is to decide which members of a team of nurses should be on duty at any time, during a rostering period of, typically, one month.It is very important to efficiently utilize time and effort, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000