Literature DB >> 15745913

Hospital rules-based system: the next generation of medical informatics for patient safety.

John W Wilson1, Lance J Oyen, Narith N Ou, M Molly McMahon, Rodney L Thompson, Janice M Manahan, Kevin K Graner, Jenna K Lovely, Lynn L Estes.   

Abstract

PURPOSE: The hospital rules-based system (HRBS) and its subsystems at a major medical center are described.
SUMMARY: The HRBS was implemented at the Mayo Clinic to rapidly identify and communicate crucial information to the clinician in order to optimize patient care. The system also enhances workload efficiency and improves documentation and communication. The system is used by the infectious-diseases division, pharmacy services, nutritional support services, infection control, and the nursing department. The six HRBS subsystems are Web-based programs that share a common structural design and integrate computerized information from multiple institutional databases. The integrated data are presented in a user-friendly format that improves the efficiency of data retrieval. Information, such as monitoring notes and intervention information, can be entered for specific patients. The subsystems use rules designed to detect suboptimal therapy or monitoring and identify opportunities for cost savings in a timely manner.
CONCLUSION: The HRBS enhances the identification of drug-related problems while optimizing patient care and improving communication and efficiency at a major medical center.

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Year:  2005        PMID: 15745913     DOI: 10.1093/ajhp/62.5.499

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  10 in total

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Journal:  Virulence       Date:  2016-05-11       Impact factor: 5.882

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4.  Detecting delayed microbiology results after hospital discharge: improving patient safety through an automated medical informatics tool.

Authors:  John W Wilson; William F Marshall; Lynn L Estes
Journal:  Mayo Clin Proc       Date:  2011-12       Impact factor: 7.616

5.  Effect of body mass index on bleeding frequency and activated partial thromboplastin time in weight-based dosing of unfractionated heparin: a retrospective cohort study.

Authors:  Seth R Bauer; Narith N Ou; Benjamin J Dreesman; Jeffrey J Armon; Jan A Anderson; Stephen S Cha; Lance J Oyen
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6.  Effectiveness of a clinical decision support system to identify heparin induced thrombocytopenia.

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8.  Optimizing Clinical Monitoring Tools to Enhance Patient Review by Pharmacists.

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9.  Duke Surgery Patient Safety: an open-source application for anonymous reporting of adverse and near-miss surgical events.

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  10 in total

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