Literature DB >> 31621071

Development and Implementation of Electronic Health Record-Integrated Model-Informed Clinical Decision Support Tools for the Precision Dosing of Drugs.

Alexander A Vinks1,2, Richard W Peck3, Michael Neely4, Diane R Mould5.   

Abstract

Imagine it is 2030, and the drug label is in the cloud, is interactive, and can provide model-informed precision dosing support based on an individual's genomic and physiologic makeup that is uploaded via a user-friendly interface. Precision medicine has vastly improved our ability to provide tailored therapeutics, and groundbreaking advances in noninvasive systems have generated smart wearable devices that can follow our physiologic state and drug exposure in real time. One device consists of a microfluidic drug biosensor with a transmitter attached to the skin and a mobile app that displays concentration values and trends while issuing alerts and providing suggestions on dose changes when out of range. This sounds compelling, but why has model-informed precision dosing not yet become common clinical reality in 2020?
© 2019 The Authors Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.

Year:  2019        PMID: 31621071     DOI: 10.1002/cpt.1679

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  9 in total

1.  Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data.

Authors:  Andreas D Meid; Carmen Ruff; Lucas Wirbka; Felicitas Stoll; Hanna M Seidling; Andreas Groll; Walter E Haefeli
Journal:  Clin Epidemiol       Date:  2020-11-02       Impact factor: 4.790

2.  Using Population Pharmacokinetic Modeling to Estimate Exposure to Δ9-Tetrahydrocannabinol in an Observational Study of Cannabis Smokers in Colorado.

Authors:  Cristina Sempio; L Cinnamon Bidwell; Kent Hutchison; Marilyn A Huestis; Jost Klawitter; Uwe Christians; Thomas K Henthorn
Journal:  Ther Drug Monit       Date:  2021-08-01       Impact factor: 3.118

3.  Software Tools for Model-Informed Precision Dosing: How Well Do They Satisfy the Needs?

Authors:  Wannee Kantasiripitak; Ruth Van Daele; Matthias Gijsen; Marc Ferrante; Isabel Spriet; Erwin Dreesen
Journal:  Front Pharmacol       Date:  2020-05-07       Impact factor: 5.810

4.  Electrochemical Determination of Hydroxyurea in a Complex Biological Matrix Using MoS2-Modified Electrodes and Chemometrics.

Authors:  Remi Cazelles; Rajendra P Shukla; Russell E Ware; Alexander A Vinks; Hadar Ben-Yoav
Journal:  Biomedicines       Date:  2020-12-24

5.  Eculizumab precision-dosing algorithm for thrombotic microangiopathy in children and young adults undergoing HSCT.

Authors:  Kana Mizuno; Christopher E Dandoy; Ashley Teusink-Cross; Stella M Davies; Alexander A Vinks; Sonata Jodele
Journal:  Blood Adv       Date:  2022-03-08

6.  Application of a Computerized Decision Support System to Develop Care Strategies for Elderly Hemodialysis Patients.

Authors:  Yiqiu Zhu; Xiyi Zheng
Journal:  J Healthc Eng       Date:  2021-06-19       Impact factor: 2.682

7.  A Systematic Assessment of US Food and Drug Administration Dosing Recommendations For Drug Development Programs Amenable to Response-Guided Titration.

Authors:  Lingshan Wang; Kimberly Maxfield; Daphne Guinn; Rajanikanth Madabushi; Issam Zineh; Robert N Schuck
Journal:  Clin Pharmacol Ther       Date:  2020-11-15       Impact factor: 6.903

8.  Broader Implications of Modeling and Simulation (M&S) Tools in Pharmacotherapeutic Decisions: A Cautionary Optimism.

Authors:  Ayyappa Chaturvedula; Brittany N Palasik; Hae Jin Cho; Navin Goyal
Journal:  Front Pharmacol       Date:  2020-04-29       Impact factor: 5.810

Review 9.  Precision Dosing: An Industry Perspective.

Authors:  Richard W Peck
Journal:  Clin Pharmacol Ther       Date:  2020-10-26       Impact factor: 6.903

  9 in total

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