Literature DB >> 24177283

Malnutrition coding 101: financial impact and more.

Georgia A Giannopoulos1, Louise R Merriman, Alissa Rumsey, Douglas S Zwiebel.   

Abstract

Recent articles have addressed the characteristics associated with adult malnutrition as published by the Academy of Nutrition and Dietetics (the Academy) and the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). This article describes a successful interdisciplinary program developed by the Department of Food and Nutrition at New York-Presbyterian Hospital to maintain and monitor clinical documentation, ensure accurate International Classification of Diseases 9th Edition (ICD-9) coding, and identify subsequent incremental revenue resulting from the early identification, documentation, and treatment of malnutrition in an adult inpatient population. The first step in the process requires registered dietitians to identify patients with malnutrition; then clear and specifically worded diagnostic statements that include the type and severity of malnutrition are documented in the medical record by the physician, nurse practitioner, or physician's assistant. This protocol allows the Heath Information Management/Coding department to accurately assign ICD-9 codes associated with protein-energy malnutrition. Once clinical coding is complete, a final diagnosis related group (DRG) is generated to ensure appropriate hospital reimbursement. Successful interdisciplinary programs such as this can drive optimal care and ensure appropriate reimbursement.

Entities:  

Keywords:  clinical coding; diagnosis-related groups; malnutrition; protein-energy malnutrition

Mesh:

Year:  2013        PMID: 24177283     DOI: 10.1177/0884533613508788

Source DB:  PubMed          Journal:  Nutr Clin Pract        ISSN: 0884-5336            Impact factor:   3.080


  3 in total

1.  Clinical impact of malnutrition on complication rate and length of stay in elective ENT patients: a prospective cohort study.

Authors:  U Kisser; J Kufeldt; C Adderson-Kisser; S Becker; P Baumeister; M Reiter; U Harréus; M N Thomas; P Rittler
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-03-18       Impact factor: 2.503

2.  Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates.

Authors:  Benjamin D Pollock; Jeph Herrin; Matthew R Neville; Sean C Dowdy; Pablo Moreno Franco; Nilay D Shah; Henry H Ting
Journal:  JAMA Netw Open       Date:  2020-07-01

Review 3.  The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition.

Authors:  Berkeley N Limketkai; Kasuen Mauldin; Natalie Manitius; Laleh Jalilian; Bradley R Salonen
Journal:  Curr Surg Rep       Date:  2021-06-08
  3 in total

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