Literature DB >> 34142090

Who Will Pay for AI?

Melissa M Chen1, Lauren Parks Golding1, Gregory N Nicola1.   

Abstract

In 2020, the largest U.S. health care payer, the Centers for Medicare & Medicaid Services (CMS), established payment for artificial intelligence (AI) through two different systems in the Medicare Physician Fee Schedule (MPFS) and the Inpatient Prospective Payment System (IPPS). Within the MPFS, a new Current Procedural Terminology code was valued for an AI tool for diagnosis of diabetic retinopathy, IDx-RX. In the IPPS, Medicare established a New Technology Add-on Payment for Viz.ai software, an AI algorithm that facilitates diagnosis and treatment of large-vessel occlusion strokes. This article describes reimbursement in these two payment systems and proposes future payment pathways for AI. Keywords: Computer Applications-General (Informatics), Technology Assessment © RSNA, 2021. 2021 by the Radiological Society of North America, Inc.

Entities:  

Year:  2021        PMID: 34142090      PMCID: PMC8166111          DOI: 10.1148/ryai.2021210030

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN: 2638-6100


  15 in total

1.  Sustainable Growth Rate Repealed, MACRA Revealed: Historical Context and Analysis of Recent Changes in Medicare Physician Payment Methodologies.

Authors:  J A Hirsch; H B Harvey; R M Barr; W D Donovan; R Duszak; G N Nicola; P W Schaefer; L Manchikanti
Journal:  AJNR Am J Neuroradiol       Date:  2015-11-19       Impact factor: 3.825

2.  Experience with Medicare's new technology add-on payment program.

Authors:  Alexandra T Clyde; Lindsay Bockstedt; Jeffrey A Farkas; Christine Jackson
Journal:  Health Aff (Millwood)       Date:  2008 Nov-Dec       Impact factor: 6.301

3.  Why we should care how hospitals bill for radiology.

Authors:  Ezequiel Silva
Journal:  J Am Coll Radiol       Date:  2013-11       Impact factor: 5.532

4.  What is the RUC?

Authors:  W D Donovan
Journal:  AJNR Am J Neuroradiol       Date:  2011-08-25       Impact factor: 3.825

5.  Radiologists May Now Be Accountable for Containing Medicare Costs and Spending Under MACRA.

Authors:  Andrew B Rosenkrantz; Joshua A Hirsch; Ezequiel Silva; Gregory N Nicola
Journal:  J Am Coll Radiol       Date:  2017-04-14       Impact factor: 5.532

Review 6.  MACRA 2.0: are you ready for MIPS?

Authors:  Joshua A Hirsch; Andrew B Rosenkrantz; Sameer A Ansari; Laxmaiah Manchikanti; Gregory N Nicola
Journal:  J Neurointerv Surg       Date:  2016-11-24       Impact factor: 5.836

7.  The Qualified Clinical Data Registry: A Pathway to Success within MACRA.

Authors:  M M Chen; A B Rosenkrantz; G N Nicola; E Silva; G McGinty; L Manchikanti; J A Hirsch
Journal:  AJNR Am J Neuroradiol       Date:  2017-05-18       Impact factor: 3.825

8.  Artificial Intelligence: Who Pays and How?

Authors:  Kurt Schoppe
Journal:  J Am Coll Radiol       Date:  2018-07-19       Impact factor: 5.532

9.  Hospital Outpatient Prospective Payment System: A Maturing Prospective Payment System.

Authors:  Pam Kassing; Christina D Berry
Journal:  J Am Coll Radiol       Date:  2019-12-17       Impact factor: 5.532

10.  The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.

Authors:  Stan Benjamens; Pranavsingh Dhunnoo; Bertalan Meskó
Journal:  NPJ Digit Med       Date:  2020-09-11
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  8 in total

Review 1.  Artificial Intelligence Algorithms in Diabetic Retinopathy Screening.

Authors:  Sidra Zafar; Heba Mahjoub; Nitish Mehta; Amitha Domalpally; Roomasa Channa
Journal:  Curr Diab Rep       Date:  2022-04-19       Impact factor: 4.810

2.  Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment.

Authors:  Nick M Murray; Phillip Phan; Greg Hager; Andrew Menard; David Chin; Alvin Liu; Ferdinand K Hui
Journal:  Neuroradiol J       Date:  2022-01-06

3.  Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention.

Authors:  Donald B Rindal; Patricia L Mabry
Journal:  J Pers Med       Date:  2021-08-25

4.  Paying for artificial intelligence in medicine.

Authors:  Ravi B Parikh; Lorens A Helmchen
Journal:  NPJ Digit Med       Date:  2022-05-20

5.  A reimbursement framework for artificial intelligence in healthcare.

Authors:  Michael D Abràmoff; Cybil Roehrenbeck; Sylvia Trujillo; Juli Goldstein; Anitra S Graves; Michael X Repka; Ezequiel Zeke Silva Iii
Journal:  NPJ Digit Med       Date:  2022-06-09

6.  Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI.

Authors:  Kaushik P Venkatesh; Marium M Raza; James A Diao; Joseph C Kvedar
Journal:  NPJ Digit Med       Date:  2022-08-10

Review 7.  Evaluation of cancer outcome assessment using MRI: A review of deep-learning methods.

Authors:  Yousef Mazaheri; Sunitha B Thakur; Almir Gv Bitencourt; Roberto Lo Gullo; Andreas M Hötker; David D B Bates; Oguz Akin
Journal:  BJR Open       Date:  2022-06-22

8.  Artificial intelligence in oncologic imaging.

Authors:  Melissa M Chen; Admir Terzic; Anton S Becker; Jason M Johnson; Carol C Wu; Max Wintermark; Christoph Wald; Jia Wu
Journal:  Eur J Radiol Open       Date:  2022-09-29
  8 in total

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