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Volumn 17, Issue 3, 2012, Pages 131-132

Predictive risk modelling using routine data: Underexploited potential to benefit patients

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITY CARE; EDITORIAL; GENERAL PRACTICE; HEALTH CARE; HEALTH CARE NEED; HOSPITAL ADMISSION; HOSPITAL COST; HOSPITAL PATIENT; HOSPITAL READMISSION; HUMAN; INFORMATION PROCESSING; MODEL; NATIONAL HEALTH SERVICE; ORGANIZATION AND MANAGEMENT; OUTPATIENT; PREDICTION; PREDICTIVE RISK MODELLING; PRIORITY JOURNAL; RESOURCE ALLOCATION; SOCIAL CARE; UNITED KINGDOM;

EID: 84864418769     PISSN: 13558196     EISSN: None     Source Type: Journal    
DOI: 10.1258/jhsrp.2012.012054     Document Type: Editorial
Times cited : (5)

References (12)
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    • Predictive risk and health care: an overview. London: Nuffield Trust, 2011. http://www.nuffieldtrust.org.uk/sites/files/nuffield/publication/ Predictive-risk-and-health-care-an-overview-0.pdf
    • (2011) Predictive Risk and Health Care: An Overview
  • 3
    • 33747607232 scopus 로고    scopus 로고
    • Case finding for patients at risk of readmission to hospital: Development of algorithm to identify high risk patients
    • Billings J, Dixon J, Mijanovich T, Wennberg D. Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients. BMJ 2006;333:327
    • (2006) BMJ , vol.333 , pp. 327
    • Billings, J.1    Dixon, J.2    Mijanovich, T.3    Wennberg, D.4
  • 5
    • 84864404811 scopus 로고    scopus 로고
    • NHS Wales Informatics Service, Available at
    • NHS Wales Informatics Service. GP practices trial tool to identify patients at risk. NHS Wales Informatics Service, 2009. Available at www.wales.nhs.uk/nwis/news/17929
    • (2009) GP Practices Trial Tool to Identify Patients at Risk
  • 7
    • 79951793853 scopus 로고    scopus 로고
    • Predicting who will use intensive social care: Case finding tools based on linked health and social care data
    • Bardsley M, Billings J, Dixon J, Georghiou T, Lewis GH, Steventon A. Predicting who will use intensive social care: case finding tools based on linked health and social care data. Age and Ageing 2011;40:265-270
    • (2011) Age and Ageing , vol.40 , pp. 265-270
    • Bardsley, M.1    Billings, J.2    Dixon, J.3    Georghiou, T.4    Lewis, G.H.5    Steventon, A.6
  • 8
    • 84864397552 scopus 로고    scopus 로고
    • Impact of telehealth on use of secondary care and mortality according to routine operational data sets: Findings from the Whole System Demonstrator cluster randomised trial
    • in press
    • Steventon A, BardsleyM, Billings J, et al. Impact of telehealth on use of secondary care and mortality according to routine operational data sets: findings from the Whole System Demonstrator cluster randomised trial. BMJ 2012 (in press)
    • (2012) BMJ
    • Steventon, A.1    Bardsley, M.2    Billings, J.3
  • 9
    • 33846193221 scopus 로고    scopus 로고
    • Impact of case management (Evercare) on frail elderly patients: Controlled before and after analysis of quantitative outcome data
    • Gravelle H, Dusheiko M, Sheaff R, et al. Impact of case management (Evercare) on frail elderly patients: controlled before and after analysis of quantitative outcome data. BMJ 2006;334:31
    • (2006) BMJ , vol.334 , pp. 31
    • Gravelle, H.1    Dusheiko, M.2    Sheaff, R.3
  • 10
    • 84863720523 scopus 로고    scopus 로고
    • The Role of Matched Controls in Building an Evidence Base for Hospital Avoidance Schemes: A Retrospective Evaluation
    • Article first published online: 6 Jan 2012 DOI: 10.1111/j.1475-6773.2011. 01367
    • Steventon A, Bardsley M, Billings J, Georghiou T, Lewis GH. The Role of Matched Controls in Building an Evidence Base for Hospital Avoidance Schemes: A Retrospective Evaluation. Health Services Research. Article first published online: 6 Jan 2012 DOI: 10.1111/j.1475-6773.2011.01367
    • Health Services Research
    • Steventon, A.1    Bardsley, M.2    Billings, J.3    Georghiou, T.4    Lewis, G.H.5
  • 11
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    • A report submitted to the Secretary of State for Health [RARP 33] & Supplement to the Review of the Weighted Capitation Formula. [Supplement to RARP 33] London: Department of Health
    • Bevan G. Review of the Weighted Capitation Formula. A report submitted to the Secretary of State for Health [RARP 33] & Supplement to the Review of the Weighted Capitation Formula. [Supplement to RARP 33] London: Department of Health, 2008
    • (2008) Review of the Weighted Capitation Formula
    • Bevan, G.1
  • 12
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    • A person based formula for allocating commissioning funds to general practices in England: Development of a statistical model
    • doi: 10.1136/bmj.d6608
    • Dixon J, Smith P, Gravelle H, et al. A person based formula for allocating commissioning funds to general practices in England: development of a statistical model. BMJ 2011; 343:d6608 doi: 10.1136/bmj.d6608
    • (2011) BMJ , vol.343
    • Dixon, J.1    Smith, P.2    Gravelle, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.