Comparison of Icd-9 to Icd-10 Crosswalks Derived By Physician and Clinical Coder Vs. Automated Methods

Simeone, J.B.; Bhagnani, TD; Rhodes, Thomas; Reynolds, Maegan S.

doi:10.1016/j.jval.2017.08.2048

Cited by 3 publications

(3 citation statements)

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“…In this case, the necessity and accuracy of ICD coding is highly important. e use of artificial intelligent techniques also frees clinical coders from the burden of coding records [27].…”

Section: Discussionmentioning

confidence: 99%

A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics

Chen

Zhang

Zhao

et al. 2019

Journal of Healthcare Engineering

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The International Classification of Diseases (ICD), which is used to group and report health conditions and factors, provides a basis for healthcare statistics. The 11th revision of the ICD (ICD-11) released by the World Health Organization provides stakeholders with novel perspectives on solving the complexity of critical problems in medical informatics. This study conducts a bibliometric analysis of research published over the period of 1989–2018 to examine the development of ICD-related research and its trends. First, over 4000 ICD-related papers spanning the 30-year period are retrieved from the Web of Science database. Then, based on the meta data of the selected papers, time trend analysis is performed to examine the development of different ICD revisions. Finally, the keywords and topics of these papers are analyzed and visualized using VOSViewer and CiteSpace. Our findings indicate that ICD-11-related research has grown rapidly in recent years compared with studies on ICD-9 and ICD-10. Moreover, the most popular research directions of ICD-11 include the topics psychiatry, psychology, information science, library science, and behavioral science. In terms of perspectives, information system-related research is more common than big data- and knowledge discovery-related work. However, the popularity of big data- and knowledge discovery-related developments has grown in recent years. The use of ICD-11 facilitates the development of medical informatics from the perspectives of information systems, big data, and knowledge discovery.

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“…In this case, the necessity and accuracy of ICD coding is highly important. e use of artificial intelligent techniques also frees clinical coders from the burden of coding records [27].…”

Section: Discussionmentioning

confidence: 99%

A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics

Chen

Zhang

Zhao

et al. 2019

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…• There is also a small decline in the percent of non-MH/SUD treat-and-release visits holding private insurance during these years but an increase in the percent with Medicare as the payer. There are known discontinuities between the two coding systems that include a transition period as the new codes were adopted [22].…”

Section: Discussionmentioning

confidence: 99%

Impact Of Primary Care Utilization And Insurance On Emergency Department Visits

2024

J COMM MED PUB HEALTH REP

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The emergency department (ED)is uniquely situated to provide treatment for situations such as acute episodes of illness, injury, and symptoms resulting from a chronic disease episode. Health care services need to be quickly accessible to properly triage the patient for stabilization and discharge. Factors delaying care include patient overcrowding, workforce shortages, and lack of insurance, which leads to rising health costs for all stakeholders. This study examines the correlation between primary care utilization and ED visits and the role insurance plays. This research was conducted by using secondary data from the California Health Interview Survey (CHIS), 2021, and was thus limited to adult California patientsResults from this research show a strong correlation between primary care utilization and insurance and ED use. Therefore, the first hypothesis is that an increase in primary care utilization reduces ED visits. The second hypothesis is that those individuals insured utilize more primary care for preventative care and, therefore, experience fewer ED visits. The null hypothesis in this study is that the independent variables are not associated with the dependent variable.

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“…In addition, guidance and considerations on standardizing to ICD-10-CM are also available (e.g., for asthma, see Centers for Disease Control and Prevention, 2019). While the need for diagnosis crosswalks is not ideal for researchers (Mainor et al, 2019;Simeone et al, 2021), this issue is not unique to NHAMCS, nor should it preclude a time series analysis of asthma or any other diagnosed condition.…”

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confidence: 99%