Healthcare-associated infections and conditions in the era of digital measurement

被引:10
作者
Classen, David C. [1 ,2 ]
Rhee, Chanu [3 ,4 ,5 ]
Dantes, Raymund B. [6 ,7 ]
Benin, Andrea L. [7 ]
机构
[1] Univ Utah, Sch Med, Div Epidemiol, Salt Lake City, UT 84112 USA
[2] VA Salt Lake City Hlth Syst, IDEAS Ctr, Salt Lake City, UT 84108 USA
[3] Harvard Med Sch, Dept Populat Med, Boston, MA USA
[4] Harvard Pilgrim Hlth Care Inst, Boston, MA USA
[5] Brigham & Womens Hosp, Div Infect Dis, Boston, MA USA
[6] Emory Univ, Sch Med, Div Hosp Med, Atlanta, GA USA
[7] Ctr Dis Control, Div Healthcare Qual Promot, Atlanta, GA USA
基金
英国科研创新办公室;
关键词
BLOOD-STREAM INFECTION; ADMINISTRATIVE CODING DATA; CENTRAL LINE; MEDICARE POLICY; SURVEILLANCE; VALIDATION; QUALITY; PAYMENT; STATE; IDENTIFICATION;
D O I
10.1017/ice.2023.139
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
As the third edition of the Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals is released with the latest recommendations for the prevention and management of healthcare-associated infections (HAIs), a new approach to reporting HAIs is just beginning to unfold. This next generation of HAI reporting will be fully electronic and based largely on existing data in electronic health record (EHR) systems and other electronic data sources. It will be a significant change in how hospitals report HAIs and how the Centers for Disease Control and Prevention (CDC) and other agencies receive this information. This paper outlines what that future electronic reporting system will look like and how it will impact HAI reporting.
引用
收藏
页码:3 / 8
页数:6
相关论文
共 53 条
  • [21] The Medicare Policy of Payment Adjustment for Health Care-Associated Infections: Perspectives on Potential Unintended Consequences
    Hartmann, Christine W.
    Hoff, Timothy
    Palmer, Jennifer A.
    Wroe, Peter
    Dutta-Linn, M. Maya
    Lee, Grace
    [J]. MEDICAL CARE RESEARCH AND REVIEW, 2012, 69 (01) : 45 - 61
  • [22] Surveillance Bias in Outcomes Reporting
    Haut, Elliott R.
    Pronovost, Peter J.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2011, 305 (23): : 2462 - 2463
  • [23] Trends in validity of central line-associated bloodstream infection surveillance data, New York State, 2007-2010
    Hazamy, Peggy Ann
    Van Antwerpen, Carole
    Tserenpuntsag, Boldt
    Haley, Valerie B.
    Tsivitis, Marie
    Doughty, Diana
    Gase, Kathleen A.
    Tucci, Victor
    Stricof, Rachel L.
    [J]. AMERICAN JOURNAL OF INFECTION CONTROL, 2013, 41 (12) : 1200 - 1204
  • [24] Improving Risk Adjustment Above Current Centers for Disease Control and Prevention Methodology Using Electronically Available Comorbid Conditions
    Jackson, Sarah S.
    Leekha, Surbhi
    Pineles, Lisa
    Magder, Laurence S.
    Thom, Kerri A.
    Wang, Yuan
    Harris, Anthony D.
    [J]. INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2016, 37 (10) : 1173 - 1178
  • [25] Administrative Coding Data and Health Care-Associated Infections
    Jhung, Michael A.
    Banerjee, Shailen N.
    [J]. CLINICAL INFECTIOUS DISEASES, 2009, 49 (06) : 949 - 955
  • [26] Variations in Identification of Healthcare-Associated Infections
    Keller, Sara C.
    Linkin, Darren R.
    Fishman, Neil O.
    Lautenbach, Ebbing
    [J]. INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2013, 34 (07) : 678 - 686
  • [27] Electronic Health Records and Ambulatory Quality of Care
    Kern, Lisa M.
    Barron, Yolanda
    Dhopeshwarkar, Rina V.
    Edwards, Alison
    Kaushal, Rainu
    [J]. JOURNAL OF GENERAL INTERNAL MEDICINE, 2013, 28 (04) : 496 - 503
  • [28] Kern LM, 2013, ANN INTERN MED, V159, P73, DOI [10.7326/0003-4819-158-2-201301150-00001, 10.7326/0003-4819-159-1-201307020-00018]
  • [29] Kohn L, 2000, Jt Comm J Qual Improv, V26, P227
  • [30] A Comparison of Methods to Detect Urinary Tract Infections Using Electronic Data
    Landers, Timothy
    Apte, Mandar
    Hyman, Sandra
    Furuya, Yoko
    Glied, Sherry
    Larson, Elaine
    [J]. JOINT COMMISSION JOURNAL ON QUALITY AND PATIENT SAFETY, 2010, 36 (09) : 411 - 417