Literature DB >> 20190055

Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness.

Jeffrey M Ferranti1, Matthew K Langman, David Tanaka, Jonathan McCall, Asif Ahmad.   

Abstract

Healthcare is increasingly dependent upon information technology (IT), but the accumulation of data has outpaced our capacity to use it to improve operating efficiency, clinical quality, and financial effectiveness. Moreover, hospitals have lagged in adopting thoughtful analytic approaches that would allow operational leaders and providers to capitalize upon existing data stores. In this manuscript, we propose a fundamental re-evaluation of strategic IT investments in healthcare, with the goal of increasing efficiency, reducing costs, and improving outcomes through the targeted application of health analytics. We also present three case studies that illustrate the use of health analytics to leverage pre-existing data resources to support improvements in patient safety and quality of care, to increase the accuracy of billing and collection, and support emerging health issues. We believe that such active investment in health analytics will prove essential to realizing the full promise of investments in electronic clinical systems.

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Year:  2010        PMID: 20190055      PMCID: PMC3000785          DOI: 10.1136/jamia.2009.002220

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  26 in total

1.  Medical informatics: improving health care through information.

Authors:  William R Hersh
Journal:  JAMA       Date:  2002 Oct 23-30       Impact factor: 56.272

2.  Medicine. The NIH Roadmap.

Authors:  Elias Zerhouni
Journal:  Science       Date:  2003-10-03       Impact factor: 47.728

3.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

4.  The Balanced Budget Act of 1997 and the financial health of teaching hospitals.

Authors:  Robert L Phillips; George E Fryer; Frederick M Chen; Sarah E Morgan; Larry A Green; Ernest Valente; Thomas J Miyoshi
Journal:  Ann Fam Med       Date:  2004 Jan-Feb       Impact factor: 5.166

5.  Health care information technology: progress and barriers.

Authors:  William Hersh
Journal:  JAMA       Date:  2004-11-10       Impact factor: 56.272

6.  Physicians and ambulatory electronic health records.

Authors:  David W Bates
Journal:  Health Aff (Millwood)       Date:  2005 Sep-Oct       Impact factor: 6.301

7.  Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.

Authors:  Tara Borlawsky; Jeanne LaFountain; Lynda Petty; Joel H Saltz; Philip R O Payne
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

8.  Financial burden of hospital-acquired Clostridium difficile infection.

Authors:  M H Wilcox; J G Cunniffe; C Trundle; C Redpath
Journal:  J Hosp Infect       Date:  1996-09       Impact factor: 3.926

Review 9.  How can information technology improve patient safety and reduce medication errors in children's health care?

Authors:  R Kaushal; K N Barker; D W Bates
Journal:  Arch Pediatr Adolesc Med       Date:  2001-09

10.  Building the national health information infrastructure for personal health, health care services, public health, and research.

Authors:  Don E Detmer
Journal:  BMC Med Inform Decis Mak       Date:  2003-01-06       Impact factor: 2.796

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  14 in total

1.  Comparison of manual versus automated data collection method for an evidence-based nursing practice study.

Authors:  M D Byrne; T R Jordan; T Welle
Journal:  Appl Clin Inform       Date:  2013-02-13       Impact factor: 2.342

2.  Comparison of computerized surveillance and manual chart review for adverse events.

Authors:  Aldo Tinoco; R Scott Evans; Catherine J Staes; James F Lloyd; Jeffrey M Rothschild; Peter J Haug
Journal:  J Am Med Inform Assoc       Date:  2011 Jul-Aug       Impact factor: 4.497

3.  Quantifying clinical data quality using relative gold standards.

Authors:  Michael G Kahn; Brian B Eliason; Janet Bathurst
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

4.  Architecting the Data Loading Process for an i2b2 Research Data Warehouse: Full Reload versus Incremental Updating.

Authors:  Andrew R Post; Miao Ai; Akshatha Kalsanka Pai; Marc Overcash; David S Stephens
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Electronic health records - beyond meaningful use.

Authors:  A Ahmad
Journal:  Appl Clin Inform       Date:  2010-08-11       Impact factor: 2.342

Review 6.  Clinical Information Systems - From Yesterday to Tomorrow.

Authors:  R M Gardner
Journal:  Yearb Med Inform       Date:  2016-06-30

7.  Role of Pharmacy Analytics in Creating a Data-Driven Culture for Frontline Management.

Authors:  Whitley M Yi; Adam Bernstein; Mary-Haston Vest; Evan W Colmenares; Suzanne Francart
Journal:  Hosp Pharm       Date:  2020-05-20

8.  The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.

Authors:  Andrew R Post; Tahsin Kurc; Sharath Cholleti; Jingjing Gao; Xia Lin; William Bornstein; Dedra Cantrell; David Levine; Sam Hohmann; Joel H Saltz
Journal:  J Biomed Inform       Date:  2013-02-09       Impact factor: 6.317

9.  Clinical use of an enterprise data warehouse.

Authors:  R Scott Evans; James F Lloyd; Lee A Pierce
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

10.  Business intelligence tools to optimize the appropriateness of the diagnostic process for clinical and epidemiologic purposes in a multicenter veterinary pathology service.

Authors:  Nicola Pozzato; Laura D'Este; Laura Gagliazzo; Marta Vascellari; Monia Cocchi; Fabrizio Agnoletti; Luca Bano; Antonio Barberio; Debora Dellamaria; Federica Gobbo; Eliana Schiavon; Alexander Tavella; Karin Trevisiol; Laura Viel; Denis Vio; Salvatore Catania; Gaddo Vicenzoni
Journal:  J Vet Diagn Invest       Date:  2021-03-26       Impact factor: 1.279

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