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Stephen L Luther

Biographic Data

ID5543753
NAMEStephen L Luther
GIVEN NAMESStephen L
FAMILY NAMELuther
SIGNATURELUTHER S L
AFFILIATIONSEdward Hines, Jr. VA Hospital
ORCID0000-0001-7524-7380
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Meeting People Where They Are

    Open Access•Travis I Lovejoy, Natassja Pal et al.•ARTICLE•The Journal of Rural Health•2026

    The authors declare no conflicts of interest. This is a commentary, and no data are presented in this article.

  • Veterans’ Experiences With Legislation to Address Health Care and Disability Related to Contaminated Water Exposure at Camp Lejeune Marine Base

    Pooja Solanki, Rena Steiger-Chadwick et al.•ARTICLE•Medical Care•2026•References: 4

    BACKGROUND: Between 1953 and 1987, the groundwater at Marine Base Camp Lejeune in North Carolina was contaminated with chlorinated solvents. Legislation enacted by the federal government aimed to provide disability compensation and access to health care to Veterans for conditions related to these exposures. OBJECTIVE: We assessed the impact of the Camp Lejeune-related legislation on Veterans' experiences with health care access and disability cla…

  • Improving Identification of Fall-Related Injuries in Ambulatory Care Using Statistical Text Mining

    Stephen L Luther, James A McCart et al.•ARTICLE•American Journal of Public Health•2015•References: 23

    Objectives. We determined whether statistical text mining (STM) can identify fall-related injuries in electronic health record (EHR) documents and the impact on STM models of training on documents from a single or multiple facilities. Methods. We obtained fiscal year 2007 records for Veterans Health Administration (VHA) ambulatory care clinics in the southeastern United States and Puerto Rico, resulting in a total of 26 010 documents for 1652 vet…

No prominent works on this page.

  • Improving Identification of Fall-Related Injuries in Ambulatory Care Using Statistical Text Mining

    Stephen L Luther, James A McCart et al.•ARTICLE•American Journal of Public Health•2015•References: 23

    Objectives. We determined whether statistical text mining (STM) can identify fall-related injuries in electronic health record (EHR) documents and the impact on STM models of training on documents from a single or multiple facilities. Methods. We obtained fiscal year 2007 records for Veterans Health Administration (VHA) ambulatory care clinics in the southeastern United States and Puerto Rico, resulting in a total of 26 010 documents for 1652 vet…

  • Meeting People Where They Are

    Open Access•Travis I Lovejoy, Natassja Pal et al.•ARTICLE•The Journal of Rural Health•2026

    The authors declare no conflicts of interest. This is a commentary, and no data are presented in this article.

  • Veterans’ Experiences With Legislation to Address Health Care and Disability Related to Contaminated Water Exposure at Camp Lejeune Marine Base

    Pooja Solanki, Rena Steiger-Chadwick et al.•ARTICLE•Medical Care•2026•References: 4

    BACKGROUND: Between 1953 and 1987, the groundwater at Marine Base Camp Lejeune in North Carolina was contaminated with chlorinated solvents. Legislation enacted by the federal government aimed to provide disability compensation and access to health care to Veterans for conditions related to these exposures. OBJECTIVE: We assessed the impact of the Camp Lejeune-related legislation on Veterans' experiences with health care access and disability cla…

Health care (2 works) · MEDLINE (2 works) · Ambulatory (1 work) · Ambulatory care (1 work) · Carcinogens and Genotoxicity Assessment (1 work) · Chart (1 work) · Clinical research (1 work) · Clinical trial (1 work) · Emergency Medicine (1 work) · Emergency Medicine (1 work)

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