Jackson Steinkamp
Overview
Explore the profile of Jackson Steinkamp including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
61
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0
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Recent Articles
1.
Steinkamp J, Hecht T, Hennessy S, Leonard C, Shu D, Airan-Javia S
J Hosp Med
. 2023 Jul;
18(9):812-821.
PMID: 37485805
Background: Usage of medication brand names in electronic health records may introduce conflicts of interest, perpetuate false perceptions of brand superiority, alter prescribing practices, and cause confusion leading to errors....
2.
Janzow G, Harding C, Flores M, Borodovsky J, Steinkamp J, Marsch L, et al.
Drug Alcohol Depend Rep
. 2023 Feb;
3:100045.
PMID: 36845988
Background: Increasing buprenorphine/naloxone (B/N) access for opioid use disorder (OUD) is essential yet ensuring adherence and preventing diversion remains challenging. This study examines the feasibility, usability, and acceptability of ,...
3.
Steinkamp J, Kantrowitz J, Airan-Javia S
JAMA Netw Open
. 2022 Sep;
5(9):e2233348.
PMID: 36156143
Importance: Duplicated text is a well-documented hazard in electronic medical records (EMRs), leading to wasted clinician time, medical error, and burnout. This study hypothesizes that text duplication is prevalent and...
4.
Horng H, Steinkamp J, Kahn Jr C, Cook T
J Digit Imaging
. 2022 Jun;
35(6):1694-1698.
PMID: 35715655
Natural language processing (NLP) techniques for electronic health records have shown great potential to improve the quality of medical care. The text of radiology reports frequently constitutes a large fraction...
5.
Steinkamp J, Sharma A, Bala W, Kantrowitz J
JMIR Form Res
. 2021 Nov;
5(11):e23789.
PMID: 34751651
Background: Clinicians spend large amounts of their workday using electronic medical records (EMRs). Poorly designed documentation systems contribute to the proliferation of out-of-date information, increased time spent on medical records,...
6.
Steinkamp J, Cook T
Radiol Clin North Am
. 2021 Oct;
59(6):919-931.
PMID: 34689877
Natural language processing (NLP) is a subfield of computer science and linguistics that can be applied to extract meaningful information from radiology reports. Symbolic NLP is rule based and well...
7.
Steinkamp J, Kantrowitz J, Sharma A, Bala W
J Med Internet Res
. 2021 Apr;
23(4):e24179.
PMID: 33877053
Clinicians spend a substantial part of their workday reviewing and writing electronic medical notes. Here we describe how the current, widely accepted paradigm for electronic medical notes represents a poor...
8.
Steinkamp J, Chambers C, Lalevic D, Cook T
J Digit Imaging
. 2021 Feb;
34(2):374-384.
PMID: 33569716
Recommendations are a key component of radiology reports. Automatic extraction of recommendations would facilitate tasks such as recommendation tracking, quality improvement, and large-scale descriptive studies. Existing report-parsing systems are frequently...
9.
Bala W, Steinkamp J, Feeney T, Gupta A, Sharma A, Kantrowitz J, et al.
Appl Clin Inform
. 2020 Sep;
11(4):606-616.
PMID: 32937677
Background: Incidental radiographic findings, such as adrenal nodules, are commonly identified in imaging studies and documented in radiology reports. However, patients with such findings frequently do not receive appropriate follow-up,...
10.
Schuman-Olivier Z, Borodovsky J, Steinkamp J, Munir Q, Butler K, Greene M, et al.
Addict Sci Clin Pract
. 2018 Sep;
13(1):21.
PMID: 30249279
Background: While buprenorphine/naloxone (B/N) is approved for opioid use disorder treatment, effective delivery of B/N comes with significant challenges. Most notably, many patients do not take medication daily as prescribed;...