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Literature DB >> 22693995

Escaping the EHR trap--the future of health IT.

Kenneth D Mandl¹, Isaac S Kohane.

Abstract

Mesh：

Year: 2012 PMID： 22693995 DOI： 10.1056/NEJMp1203102

Source DB: PubMed Journal: N Engl J Med ISSN： 0028-4793 Impact factor: 91.245

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Cited

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58 in total

1. Feasibility of Population Health Analytics and Data Visualization for Decision Support in the Infectious Diseases Domain: A pilot study.

Authors: Don Roosan; Guilherme Del Fiol; Jorie Butler; Yarden Livnat; Jeanmarie Mayer; Matthew Samore; Makoto Jones; Charlene Weir
Journal: Appl Clin Inform Date: 2016-06-29 Impact factor: 2.342

2. CKD as a Model for Improving Chronic Disease Care through Electronic Health Records.

Authors: Paul E Drawz; Patrick Archdeacon; Clement J McDonald; Neil R Powe; Kimberly A Smith; Jenna Norton; Desmond E Williams; Uptal D Patel; Andrew Narva
Journal: Clin J Am Soc Nephrol Date: 2015-06-25 Impact factor: 8.237

3. The wave has finally broken: now what?

Authors: Donald W Simborg; Don Eugene Detmer; Eta S Berner
Journal: J Am Med Inform Assoc Date: 2013-03-28 Impact factor: 4.497

4. When does adoption of health information technology by physician practices lead to use by physicians within the practice?

Authors: Sean R McClellan; Lawrence P Casalino; Stephen M Shortell; Diane R Rittenhouse
Journal: J Am Med Inform Assoc Date: 2013-02-08 Impact factor: 4.497

5. Maximizing Time with the Patient: the Creative Concept of a Physician Scribe.

Authors: Smitha P Menon
Journal: Curr Oncol Rep Date: 2015-12 Impact factor: 5.075

6. Electronic Health Records (EHRs) in the oncology clinic: how clinician interaction with EHRs can improve communication with the patient.

Authors: Thomas W LeBlanc; Anthony L Back; Marion Danis; Amy P Abernethy
Journal: J Oncol Pract Date: 2014-07-15 Impact factor: 3.840

Escaping the EHR trap--the future of health IT.

1. Feasibility of Population Health Analytics and Data Visualization for Decision Support in the Infectious Diseases Domain: A pilot study.

2. CKD as a Model for Improving Chronic Disease Care through Electronic Health Records.

3. The wave has finally broken: now what?

4. When does adoption of health information technology by physician practices lead to use by physicians within the practice?

5. Maximizing Time with the Patient: the Creative Concept of a Physician Scribe.

6. Electronic Health Records (EHRs) in the oncology clinic: how clinician interaction with EHRs can improve communication with the patient.

7. Disease risk factors identified through shared genetic architecture and electronic medical records.

Review 8. Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.

9. OpenHealth Platform for Interactive Contextualization of Population Health Open Data.

Review 10. Electronic medical records and quality of cancer care.