The Value of Outpatient Imaging-Based Cancer Screening Episodes

被引:7
|
作者
Liao, Joshua M. [1 ,2 ,3 ]
Basu, Anirban [4 ]
Lee, Christoph I. [5 ,6 ]
机构
[1] Univ Washington, Sch Med, Dept Med, Seattle, WA 98195 USA
[2] Univ Penn, Wharton Sch, Leonard Davis Inst Hlth Econ, Philadelphia, PA 19104 USA
[3] UW Med Value & Syst Sci Lab, Seattle, WA USA
[4] Univ Washington, Sch Med, Comparat Hlth Outcomes Policy & Econ CHOICE Inst, Seattle, WA USA
[5] Univ Washington, Sch Med, Dept Radiol, Seattle, WA 98195 USA
[6] Fred Hutchinson Canc Res Ctr, Hutchinson Inst Canc Outcomes Res, 1124 Columbia St, Seattle, WA 98104 USA
关键词
health policy; bundled payment; episodes of care; health care value; cancer screening; CARE;
D O I
10.1007/s11606-018-4571-y
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
In order to shift US health care towards greater value, the Centers for Medicare & Medicaid Services (CMS) is exploring outpatient episode-based cost measures under the new Quality Payment Program and planning a bundled payment program that will introduce the first ever outpatient episodes of care. One novel approach to capitalize on this paradigm shift and extend bundled payment policies is to engage primary care physicians and specialists by bundling outpatient imaging studies and associated procedures-central tools in disease screening and diagnosis, but also tools that are expensive and susceptible to increasing health care costs and patient harm. For example, both breast and lung cancer screening represent target areas ripe for bundled payment given high associated costs and variation in management strategies and suboptimal care coordination between responsible clinicians. Benefits to imaging-based screening episodes include stronger alignment between providers (primary care physicians, radiologists, and other clinicians), reduction in unwarranted variation, creation of appropriateness standards, and ability to overcome barriers to cancer screening adherence. Implementation considerations include safeguarding against providers inappropriately withholding care as well as ensuring that accountability and financial risk are distributed appropriately among responsible clinicians.
引用
收藏
页码:1571 / 1573
页数:3
相关论文
共 50 条
  • [21] An Imaging-based Autorefractor
    Menolotto, Matteo
    Livingstone, Iain A. T.
    Giardini, Mario E.
    [J]. 2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021), 2021,
  • [22] Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization
    Wang, Chong
    Lu, Tian
    Emanuel, George
    Babcock, Hazen P.
    Zhuang, Xiaowei
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (22) : 10842 - 10851
  • [23] Magnetic Resonance Imaging-Based Screening Study in a General Population of Adolescents
    Angelini, Paolo
    Cheong, Benjamin Y.
    De Rosen, Veronica V. Lenge
    Lopez, J. Alberto
    Uribe, Carlo
    Masso, Anthony H.
    Ali, Syed W.
    Davis, Barry R.
    Muthupillai, Raja
    Willerson, James T.
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2018, 71 (05) : 579 - 580
  • [24] The science and practice of imaging-based screening: What the radiologist needs to know
    Milch, Hannah S.
    Haramati, Linda B.
    [J]. CLINICAL IMAGING, 2024, 114
  • [25] Prognostic value of imaging-based ATN profiles in a memory clinic cohort
    Débora E. Peretti
    Federica Ribaldi
    Max Scheffler
    Christian Chicherio
    Giovanni B. Frisoni
    Valentina Garibotto
    [J]. European Journal of Nuclear Medicine and Molecular Imaging, 2023, 50 : 3313 - 3323
  • [26] Prognostic value of imaging-based ATN profiles in a memory clinic cohort
    Peretti, Debora E.
    Ribaldi, Federica
    Scheffler, Max
    Chicherio, Christian
    Frisoni, Giovanni B.
    Garibotto, Valentina
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (11) : 3313 - 3323
  • [27] The value of magnetic resonance imaging-based tumor shape features for assessing microsatellite instability status in endometrial cancer
    Wang, Huihui
    Xu, Zeyan
    Zhang, Haochen
    Huang, Jia
    Peng, Haien
    Zhang, Yuan
    Liang, Changhong
    Zhao, Ke
    Liu, Zaiyi
    [J]. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2022, : 22 - 77
  • [28] A Dynamic Infrared Imaging-Based Diagnostic Process for Breast Cancer
    Joro, R.
    Laaperi, A-L.
    Dastidar, P.
    Jarvenpaa, R.
    Kuukasjarvi, T.
    Toivonen, T.
    Saaristo, R.
    Soimakallio, S.
    [J]. ACTA RADIOLOGICA, 2009, 50 (08) : 860 - 869
  • [29] Imaging-based characterization of tumoral heterogeneity for personalized cancer treatment
    Haag, Florian
    Hertel, Alexander
    Tharmaseelan, Hishan
    Kuru, Mustafa
    Haselmann, Verena
    Brochhausen-Delius, Christoph
    Schoenberg, Stefan O.
    Froelich, Matthias F.
    [J]. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2024, 196 (03): : 262 - 272
  • [30] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk
    Bianchi, Giampaolo
    Sighinolfi, Maria Chiara
    Rocco, Bernardo
    [J]. JAMA ONCOLOGY, 2018, 4 (11) : 1624 - 1625