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Published on in Vol 5, No 2 (2013):

A Decision Support Tool for Using an ICD-10 Anatomographer to Address Admission Coding Inaccuracies: A Commentary

A Decision Support Tool for Using an ICD-10 Anatomographer to Address Admission Coding Inaccuracies: A Commentary

A Decision Support Tool for Using an ICD-10 Anatomographer to Address Admission Coding Inaccuracies: A Commentary

Authors of this article:

Christopher M Bell1 ;   Arash Jalali1 ;   Edward Mensah2
The full text of this article is available as a PDF download by clicking here.
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Journals

  1. Teufel A, Binder H. Clinical Decision Support Systems. Visceral Medicine 2021;37(6):491 View
  2. Sutton R, Pincock D, Baumgart D, Sadowski D, Fedorak R, Kroeker K. An overview of clinical decision support systems: benefits, risks, and strategies for success. npj Digital Medicine 2020;3(1) View
  3. G J, R S, H L G, Ravi V, Almeshari M, Alzamil Y. Electronic Health Record (EHR) System Development for Study on EHR Data-based Early Prediction of Diabetes Using Machine Learning Algorithms. The Open Bioinformatics Journal 2023;16(1) View
  4. Schäfer H, Lajmi N, Valente P, Pedrioli A, Cigoianu D, Hoehne B, Schenk M, Guo C, Singhrao R, Gmuer D, Ahmed R, Silchmüller M, Ekinci O. The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection. Diagnostics 2025;15(5):648 View

Books/Policy Documents

  1. Rao D, Venkatesh , Mamatha H, Shalini N. A Guide to Hospital Administration and Planning. View
  2. Kumari V, Vijila J, Balu R. Artificial Intelligence‐Based System Models in Healthcare. View