Zobrazeno 61 - 70
of 726
pro vyhledávání: '"Hude Quan"'
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction The Discharge Abstract Database (DAD) associates ICD-10-CA diagnosis codes with inpatient care episodes at acute-care facilities. Codes are assigned by human coders, based on chart review. Coding guidelines stipulate mandatory coding of
Externí odkaz:
https://doaj.org/article/be442bc202244c1db28cf58dcbf01482
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Theme: Data and Linkage Quality Objectives: • To define health data quality from clinical, data science, and health system perspectives • To describe some of the international best practices related to quality and how they are being applied
Externí odkaz:
https://doaj.org/article/18482c440a9c4e949900b8bbbb24ce79
Autor:
Natalie Wiebe, Lucia Otero Varela, Daniel Niven, Paul E Ronksley, Nicolas Iraggori, Helen Lee Robertson, Hude Quan
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Despite increased use of electronic health records (EHRs), EHR documentation quality remains poor. Consequently, EHR data quality is also negatively affected. Many services, including disease surveillance and health services research, ut
Externí odkaz:
https://doaj.org/article/c0212493e6484370bc97b456ed6553c6
Autor:
Anita Brobbey, Peter Faris, Alberto Nettel-Aguirre, Tyler Williamson, Samuel Wiebe, Mingkai Peng, Hude Quan, Tolulope T Sajobi
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction There has been an increased demand for more accurate prediction tools to aid clinical decision-making regarding disease diagnosis prognosis for coronary artery disease(CAD) patients. Patients undergoing CABG surgery are older and a large
Externí odkaz:
https://doaj.org/article/078aeee89210465eb3d6f9f1ec6ef4d9
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction It is essential that clinical documentation and data coding be of high quality for the production of healthcare data for research or administrative purposes. However, there is a limited understanding of the facilitators and barriers of c
Externí odkaz:
https://doaj.org/article/d87beda1eec34d91972604c722d33c55
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Main condition coding definitions in the International Classification of Disease (ICD) 10th and 11th versions are broadly defined in the current and upcoming versions of ICD, and coding health data can involve subjective coding specialis
Externí odkaz:
https://doaj.org/article/363df59f4f3943e385c76812f7074cb9
Autor:
Mingkai Peng, Sangmin (Sarah) Lee, Maureen Kelly, Cassandra Linton, Margaret Penchoff, Sanjin Sabljakovic, Hude Quan
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Data quality assessment is a challenging facet for researches using coded administrative health data. Our previous study had demonstrated the potentials of association rule mining to assess data quality. The objective of this study is to
Externí odkaz:
https://doaj.org/article/50b8ac4775124c588163e34253848ec7
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Coded data serves a critical part in the process of identifying the resource allocation required for each department in a hospital and for research purposes. This paper attempts a cost-benefit analysis of the transition from ICD-9 health
Externí odkaz:
https://doaj.org/article/ea066ac01e10496ca6def0a58c5f69a8
Autor:
Catherine Eastwood, Danielle Southern, Alicia Boxill, Malgorzata Maciszewski, Hude Quan, Denise Cullen, Margaret Penchoff, William Ghali
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction A high performing health data classification system requires clear, comprehensive code descriptions and user-friendly coding tools for effective coding. Coding specialists have essential specialized knowledge to contribute to the develop
Externí odkaz:
https://doaj.org/article/495d5ccb0c2048308b74e2cd0334c6c2
Autor:
Seungwon Lee, Paul E Ronksley, Stephanie Garies, Hude Quan, Peter Faris, Bing Li, Elizabeth Henderson
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Antimicrobial resistance (AMR) is an emerging phenomenon where microorganisms develop resistance against treatment antimicrobials, resulting in ineffective clinical interventions. The recent development of AMR surveillance systems at glo
Externí odkaz:
https://doaj.org/article/15bbf5a26f854dfd8b4326c04a5efffe