PubMed HealthSearch

PubMed · 1770845

Predicting discharge diagnoses using a computerized preadmission screening tool.

Abstract

The authors integrated into an existing hospital information system a preadmission screening system, intended to reduce payment denials and reimbursement shortfalls that result from improperly classifying the billing status of patients. They report the results of efforts to validate the expert system upon which the preadmission screening system is based.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J W Hales, R M Gardner. Predicting discharge diagnoses using a computerized preadmission screening tool.. https://pubmed.ncbi.nlm.nih.gov/1770845/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

[A department of general surgery using the Diagnosis Related Groups (DRGs) system. Evaluation of the case series].

DRGs system allows the grouping in a single grad-bag code of a number of similar surgical procedures carried out in patients homogeneous for age, physical status, complication and so on with similar costs. Therefore this grouping method is useful for payment to hospitals. The Authors have coded with DRGs the surgical activity of a general surgery staff during a year to verify the image that DRGs bears. Seven hundred diagnoses of dismission were related to operated on patients while one hundred twenty seven were related to patients treated with medical therapy. The DRGs more numerous were 290, 258, 198, 162, related with thyroidectomy, mastectomy, cholecystectomy and herniorrhaphy.

Diagnosis-Related Groups