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Clinical Informatics Fellowship Programs: In Search of a Viable Financial Model: An open letter to the Centers for Medicare and Medicaid Services.

Authors :
Lehmann CU
Longhurst CA
Hersh W
Mohan V
Levy BP
Embi PJ
Finnell JT
Turner AM
Martin R
Williamson J
Munger B
Source :
Applied clinical informatics [Appl Clin Inform] 2015 Apr 15; Vol. 6 (2), pp. 267-70. Date of Electronic Publication: 2015 Apr 15 (Print Publication: 2015).
Publication Year :
2015

Abstract

In the US, the new subspecialty of Clinical Informatics focuses on systems-level improvements in care delivery through the use of health information technology (HIT), data analytics, clinical decision support, data visualization and related tools. Clinical informatics is one of the first subspecialties in medicine open to physicians trained in any primary specialty. Clinical Informatics benefits patients and payers such as Medicare and Medicaid through its potential to reduce errors, increase safety, reduce costs, and improve care coordination and efficiency. Even though Clinical Informatics benefits patients and payers, because GME funding from the Centers for Medicare and Medicaid Services (CMS) has not grown at the same rate as training programs, the majority of the cost of training new Clinical Informaticians is currently paid by academic health science centers, which is unsustainable. To maintain the value of HIT investments by the government and health care organizations, we must train sufficient leaders in Clinical Informatics. In the best interest of patients, payers, and the US society, it is therefore critical to find viable financial models for Clinical Informatics fellowship programs. To support the development of adequate training programs in Clinical Informatics, we request that the Centers for Medicare and Medicaid Services (CMS) issue clarifying guidance that would allow accredited ACGME institutions to bill for clinical services delivered by fellows at the fellowship program site within their primary specialty.

Details

Language :
English
ISSN :
1869-0327
Volume :
6
Issue :
2
Database :
MEDLINE
Journal :
Applied clinical informatics
Publication Type :
Editorial & Opinion
Accession number :
26171074
Full Text :
https://doi.org/10.4338/ACI-2015-03-IE-0030