Predictors of length of stay in psychiatry: analyses of electronic medical records

被引：0
|
作者：
Jan Wolff
Paul McCrone
Anita Patel
Klaus Kaier
Claus Normann
机构：
[1] King’s College London,Institute of Psychiatry, Psychology & Neuroscience, King’s Health Economics
[2] Medical Centre-University of Freiburg,Department for Management and Controlling
[3] Queen Mary University of London,Barts and the London School of Medicine and Dentistry, Centre for Primary Care and Public Health
[4] Medical Centre-University of Freiburg,Institute of Medical Biometry
[5] Medical Centre- University of Freiburg,Department of Psychiatry and Psychotherapy
来源：
BMC Psychiatry | / 15卷
关键词：
Mental health; Hospitals, length of stay; Costs and cost analysis; Prospective payment systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Predictors of length of stay in psychiatry: analyses of electronic medical records
    Wolff, Jan
    McCrone, Paul
    Patel, Anita
    Kaier, Klaus
    Normann, Claus
    BMC PSYCHIATRY, 2015, 15
  • [2] Predicting Length of Stay for Obstetric Patients via Electronic Medical Records
    Gao, Cheng
    Kho, Abel N.
    Ivory, Catherine
    Osmundson, Sarah
    Malin, Bradley A.
    Chen, You
    MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS, 2017, 245 : 1019 - 1023
  • [3] Predictors in Geriatric Psychiatry Hospital Length of Stay
    DiNapoli, Elizabeth A.
    Regier, Natalie
    McPherron, Jesse
    Mundy, Michael J.
    Sabastian, Sabin
    Doss, Jerry
    Parmelee, Patricia A.
    PSYCHIATRIC QUARTERLY, 2015, 86 (02) : 243 - 251
  • [4] Predictors in Geriatric Psychiatry Hospital Length of Stay
    Elizabeth A. DiNapoli
    Natalie Regier
    Jesse McPherron
    Michael J. Mundy
    Sabin Sabastian
    Jerry Doss
    Patricia A. Parmelee
    Psychiatric Quarterly, 2015, 86 : 243 - 251
  • [5] Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay
    Likka, Melaku Haile
    Kurihara, Yukio
    HEALTHCARE INFORMATICS RESEARCH, 2022, 28 (01) : 35 - 45
  • [6] Does Electronic Medical Records Increase Morbidity, Mortality and Length of ICU Stay?.
    Han, J. E.
    DiGiovine, B.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2009, 179
  • [7] Predictors of length of stay in forensic psychiatry: The influence of perceived risk of violence
    Andreasson, Helena
    Nyman, Marielle
    Krona, Hedvig
    Meyer, Lennart
    Anckarsater, Henrik
    Nilsson, Thomas
    Hofvander, Bjorn
    INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY, 2014, 37 (06) : 635 - 642
  • [8] Predicting Length of Stay in Psychiatry
    Wolff, Jan
    McCrone, Paul
    Patel, Anita
    Kaier, Klaus
    Normann, Claus
    JOURNAL OF MENTAL HEALTH POLICY AND ECONOMICS, 2015, 18 : S40 - S41
  • [9] Predicting length of stay in psychiatry
    Creed, F
    Tomenson, B
    Anthony, P
    Tramner, M
    PSYCHOLOGICAL MEDICINE, 1997, 27 (04) : 961 - 966
  • [10] Predicting Length of Stay in Hospital Using Electronic Records Available at the Time of Admission
    Wilk, Marta
    Marsh, D. William R.
    De Freitas, Sarah
    Prowle, John
    DIGITAL PERSONALIZED HEALTH AND MEDICINE, 2020, 270 : 377 - 381
12345