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Coding Systems for Clinical Decision Support: Theoretical and Real-World Comparative Analysis

In addition to international coding systems, code sets also included local or national clinical coding systems and, in some cases, even electronic health record–specific proprietary coding systems.

Nicolas Delvaux, Bert Vaes, Bert Aertgeerts, Stijn Van de Velde, Robert Vander Stichele, Peter Nyberg, Mieke Vermandere

JMIR Form Res 2020;4(10):e16094

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Computer Programming: Should Medical Students Be Learning It?

Students felt that as coding was an extension of their logic, it helped them think about things in a more logical way, and this could be applied in clinical contexts.

Caroline E Morton, Susan F Smith, Tommy Lwin, Michael George, Matt Williams

JMIR Med Educ 2019;5(1):e11940

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Web-Based Information Infrastructure Increases the Interrater Reliability of Medical Coders: Quasi-Experimental Study

, clinical reference terminologies as SNOMED Clinical Terms (SNOMED-CT) or Logical Observation Identifiers Names and Codes and medical classifications such as the ICD-10 or other well-known coding systems such as MeSH or MeDRA.

Julian Varghese, Sarah Sandmann, Martin Dugas

J Med Internet Res 2018;20(10):e274

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Embedding “Smart” Disease Coding Within Routine Electronic Medical Record Workflow: Prospective Single-Arm Trial

We hypothesized that, if co-designed with clinicians, embedding “smart” disease recording within usual EMR clinical workflow could improve disease registry coding volume and quality without any significant burden for clinicians.

Dee Mangin, Jennifer Lawson, Krzysztof Adamczyk, Dale Guenter

JMIR Med Inform 2020;8(7):e16764

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Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)

Manual coding is generally considered to be the most reliable approach; however, manual coding is very expensive and time-consuming and requires considerable expertise.

Hongchang Bao, Christopher J O Baker, Anil Adisesh

JMIR Form Res 2020;4(8):e16422

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Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England

(SNOMED CT) system of coding, which is normally only updated twice annually.

Simon de Lusignan, Jamie Lopez Bernal, Maria Zambon, Oluwafunmi Akinyemi, Gayatri Amirthalingam, Nick Andrews, Ray Borrow, Rachel Byford, André Charlett, Gavin Dabrera, Joanna Ellis, Alex J Elliot, Michael Feher, Filipa Ferreira, Else Krajenbrink, Jonathan Leach, Ezra Linley, Harshana Liyanage, Cecilia Okusi, Mary Ramsay, Gillian Smith, Julian Sherlock, Nicholas Thomas, Manasa Tripathy, John Williams, Gary Howsam, Mark Joy, Richard Hobbs

JMIR Public Health Surveill 2020;6(2):e18606

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Reimbursement of Apps for Mental Health: Findings From Interviews

When insurers pay for apps directly, they are using multiple means to do so: reimbursing them through paying Current Procedural Terminology (CPT) or Healthcare Common Procedure Coding System (HCSPCS) codes, through paying for them as if they were pharmaceuticals

Adam C Powell, Matthias B Bowman, Henry T Harbin

JMIR Ment Health 2019;6(8):e14724

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COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology

This complexity presents a significant challenge for consistent clinical coding within computerized medical records (CMR) systems [11].Creating an ontology for COVID-19 surveillance should help to facilitate reproducibility and interoperability between various

Simon de Lusignan, Harshana Liyanage, Dylan McGagh, Bhautesh Dinesh Jani, Jorgen Bauwens, Rachel Byford, Dai Evans, Tom Fahey, Trisha Greenhalgh, Nicholas Jones, Frances S Mair, Cecilia Okusi, Vaishnavi Parimalanathan, Jill P Pell, Julian Sherlock, Oscar Tamburis, Manasa Tripathy, Filipa Ferreira, John Williams, F D Richard Hobbs

JMIR Public Health Surveill 2020;6(4):e21434

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Codifying Online Social Support for Breast Cancer Patients: Retrospective Qualitative Assessment

In this paper, we present some of the unanticipated challenges associated with coding unwieldy social media data, the systematic approach our team used to manage those challenges, and the coding scheme that resulted.

Jude P Mikal, Stuart W Grande, Michael J Beckstrand

J Med Internet Res 2019;21(10):e12880

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Methods for Coding Tobacco-Related Twitter Data: A Systematic Review

However, human-coding is used for an initial subset of data to help refine the algorithm to improve its accuracy. Coding categories may be determined a priori based on prior research or they may be developed inductively through the process of coding.

Brianna A Lienemann, Jennifer B Unger, Tess Boley Cruz, Kar-Hai Chu

J Med Internet Res 2017;19(3):e91

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