English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The management of renal disease and its comorbidities lends itself to the use of computer-assisted decision support systems (CDSS); however, several issues with regard to computer-based treatment algorithms remain unresolved. This review examines the development and application of a clinical decision support system for the management of renal anaemia. Studies illustrate the dependence of outcome on prespecified haemoglobin (Hb) intervention values (thresholds) and the use of a computer program containing treatment algorithms to manage Epoetin doses and iron supplements. Early experimental studies and randomized, controlled studies are discussed that examine the use of clinical measures of haemodialysis (HD) and peritoneal dialysis (PD), including Hb, serum ferritin and red cell hypochromia or transferrin saturation. Broad flexibility of erythropoietic agent, dosing, route of administration and frequency has been built into computer programs written for clinical and experimental application. While further studies with the system are anticipated, predictability and sustainability of Hb outcomes and a capacity to manage large patient groups have been demonstrated and wider application appears promising.

Development and exploitation of a clinical decision support system for the management of renal anaemia