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1

D, Gelzer Reed, et Bowers Donna, dir. How to evaluate electronic health record (EHR) systems. Chicago, Ill : American Health Information Management Association, 2008.

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2

Virginia. Department of Health. Report of the Department of Health : Progress report on a pilot project connecting public health providers to Carilion Health System's Electronic Health Record (EHR), to the Governor and the General Assembly of Virginia. Richmond, Va : Commonwealth of Virginia, 2006.

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3

Cynthia, Davis. A guide to EHR adoption : Implementation through organizational transformation. Chicago, IL : HIMSS (Healthcare Information and Management Systems Society), 2012.

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SAFER electronic health records : Safety assurance factors for EHR resilience. Oakville, ON : Apple Academic Press, 2015.

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Keys to EMR/EHR success : Selecting and implementing an electronic medical record. 2e éd. Phoenix, MD : Greenbranch Pub., 2010.

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Association, American Medical, dir. Practical EHR : Electronic record solutions for compliance and quality care. Chicago : American Medical Association, 2008.

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Strategies for electronic document and health record management. Chicago, Illinois : AHIMA , American Health Information Management Association, 2014.

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8

Electronic health record : A systems analysis of the medications domain. Boca Raton : Taylor & Francis, 2012.

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The electronic health record for the physician's office with Medtrak systems. St. Louis, Mo : Elsevier/ Saunders, 2012.

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Eichenwald, Shirley. Using the electronic health record in the health care provider practice. Clifton Park, NY : Thomson Delmar Learning, 2008.

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11

Electronic health records for allied health careers. Boston : McGraw Hill, 2009.

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12

Melissa, Kinsey, dir. The electronic health record for the physician's office. Maryland Heights, Mo : Saunders Elsevier, 2011.

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13

Clinical problem lists in the electronic health record. Toronto : Apple Academic Press, 2015.

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14

MA, Miller Joe, et Healthcare Information and Management Systems Society., dir. Implementing the electronic health record : Case studies and strategies for success. Chicago, IL : Healthcare Information and Management Systems Society, 2005.

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15

Electronic health record "booster" kit for the medical office with Practice Partner. St. Louis, Mo : Saunders/Elsevier, 2010.

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16

United States. Congress. House. A bill to improve the exchange of health information by encouraging the creation, use, and maintenance of lifetime electronic health records in independent health record banks, by using such records to build a nationwide health information technology infrastructure, and by promoting participation in health information exchanges by consumers through tax incentives. [Washington, D.C.?] : [United States Government Printing Office], 2006.

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United States. Congress. Senate. Committee on the Budget, dir. Information technology : Opportunities exist to improve management of DOD's electronic health record initiative : report to the Ranking Member, Committee on the Budget, U.S. Senate. Washington, D.C.] : U.S. Govt. Accountability Office, 2010.

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18

Examining the progress of electronic health record interoperability between the U.S. Department of Veterans Affairs and U.S. Department of Defense : Hearing before the Subcommittee on Oversight and Investigations of the Committee on Veterans' Affairs, U.S. House of Representatives, One Hundred Eleventh Congress, first session, July 14, 2009. Washington : U.S. G.P.O., 2010.

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19

Information and communication technologies in healthcare. Boca Raton, FL : Taylor & Francis, 2011.

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20

Carr, Robyn. Nursing and Informatics for the 21st Century : An Internatonal Look at Practice, Education and EHR Trends. Taylor & Francis Group, 2010.

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21

Weaver, Charlotte, Connie Delaney, Patrick Weber et Robyn Carr. Nursing and Informatics for the 21st Century : An International Look at Practice, Education and EHR Trends, Second Edition. Healthcare Information & Management Systems Society, 2010.

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22

Doyle, Christine A. Health Information Technology Use for Quality Assurance and Improvement. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199366149.003.0015.

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Health information technology (HIT) has become an important part of patient care, and can provide useful solutions for a quality assurance and improvement (QA&I) program by illustrating current quality and demonstrating gaps in quality that can be targeted for improvement. Like any other information technology project, however, HIT solutions can give misleading results if the wrong information is selected for review or if there are systematic errors in data handling. Although many health information systems are sometimes maligned as a glorified statistical tool or billing document, well-designed and implemented anesthesia information management systems (AIMS), perioperative electronic health records (EHR), and other software solutions can provide an excellent vehicle for use in quality programs. When planning the implementation of a major HIT project, it is usually best to start at the “end”—the desired workflow and goals of the project—and then work backward.
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23

E. H. R. Government Advisory Board. Why Epic Is the Best Electronic Health Records (EHR) System. Independently Published, 2018.

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24

Strain, Jay J., Akhil Shenoy et James J. Strain. An Updated Electronic Health Record (EHR) for Depression Management. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190603342.003.0013.

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Depression is a ubiquitous illness for which primary care is now on the front line, providing care to millions of patients. Identifying these patients and providing adequate care is beyond the capabilities of our current medical approach. New algorithms from research and unique techniques based on new technologies now exist for optimizing our current Electronic Health Records (EHR) into a powerful support tool for psychiatric patient care. This chapter examines the theories, biopsychosocial techniques, ongoing research, technologies, and protocols from other areas of Medicine that have been successful in capturing and evaluating patient status and guiding medical care. These concepts are modeled into how primary care colleagues can receive automated guidance and psychiatry can be referred those cases which require specialist intervention. A multimodality paradigm for an enhanced EHR which minimizes primary care physician efforts and maximizes identification, escalating management, and tracking of psychiatric patient care is proposed.
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25

Singh, Hardeep, et Dean F. Sittig. SAFER Electronic Health Records : Safety Assurance Factors for EHR Resilience. Apple Academic Press, Incorporated, 2015.

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Singh, Hardeep, et Dean F. Sittig. SAFER Electronic Health Records : Safety Assurance Factors for EHR Resilience. Apple Academic Press, Incorporated, 2015.

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27

(Foreword), H. Pardes, Harold P. Lehmann (Editor), Patricia A. Abbott (Editor), Nancy K. Roderer (Editor), Adam Rothschild (Editor), Steven F. Mandell (Editor), Jorge A. Ferrer (Editor), Robert E. Miller (Editor) et Marion J. Ball (Editor), dir. Aspects of Electronic Health Record Systems (Health Informatics). Springer, 2006.

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28

Ball, Marion J., Nancy K. Roderer, Jorge Ferrer, Steven L. Mandell, Robert E. Miller, Adam Rothschild, Harold P. Lehmann, Patricia A. Abbott et H. Pardes. Aspects of Electronic Health Record Systems : Second Edition. Springer, 2010.

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29

Sinha, Pradeep K., Gaur Sunder, Prashant Bendale, Manisha Mantri et Atreya Dande. Electronic Health Record : Standards, Coding Systems, Frameworks, and Infrastructures. Wiley & Sons, Incorporated, John, 2012.

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30

Sinha, Pradeep K., Gaur Sunder, Prashant Bendale, Manisha Mantri et Atreya Dande. Electronic Health Record : Standards, Coding Systems, Frameworks, and Infrastructures. Wiley & Sons, Incorporated, John, 2012.

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31

Sinha, Pradeep K., Gaur Sunder, Prashant Bendale, Manisha Mantri et Atreya Dande. Electronic Health Record : Standards, Coding Systems, Frameworks, and Infrastructures. Wiley & Sons, Incorporated, John, 2012.

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32

Sinha, Pradeep K., Gaur Sunder, Prashant Bendale, Manisha Mantri et Atreya Dande. Electronic Health Record : Standards, Coding Systems, Frameworks, and Infrastructures. Wiley & Sons, Limited, John, 2012.

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33

National Research Council (U.S.). Committee on Maintaining Privacy and Security in Health Care Applications of the National Information Infrastructure., dir. For the record : Protecting electronic health information. Washington, D.C : National Academy Press, 1997.

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(US), National Research Council. For the Record : Protecting Electronic Health Information. National Academy Press, 1997.

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35

Scarlat, Alexander. Electronic Health Record : A Systems Analysis of the Medications Domain. Productivity Press, 2012.

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36

Scarlat, Alexander. Electronic Health Record : A Systems Analysis of the Medications Domain. Productivity Press, 2012.

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37

Healthcare technology : Steps toward developing an electronic health record. San Francisco : Montgomery Research, 2005.

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38

Electronic Health Record for the Physician's Office. Elsevier - Health Sciences Division, 2015.

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39

Using the Electronic Health Record in the Health Care Provider Practice. Delmar Cengage Learning, 2013.

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40

The Electronic Health Record, for the Physician's Office. Saunders, 2010.

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41

Committee on Data Standards for Patient Safety, Institute of Medicine et Board on Health Care Services. Key Capabilities of an Electronic Health Record System : Letter Report. National Academies Press, 2003.

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42

Committee on Data Standards for Patient Safety, Institute of Medicine et Board on Health Care Services. Key Capabilities of an Electronic Health Record System : Letter Report. National Academies Press, 2003.

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43

Implementing the Electronic Health Record : Case Studies and Strategies for Success. Productivity Press, 2007.

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44

Bercaw, Ronald G., Kurt A. Knoth et Snedaker, MBA, CISM, CPHIMS, C, Susan T. Lean Electronic Health Record : A Journey Toward Optimized Care. Productivity Press, 2017.

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45

Bercaw, Ronald G., Kurt A. Knoth et Snedaker, MBA, CISM, CPHIMS, C, Susan T. Lean Electronic Health Record : A Journey Toward Optimized Care. Productivity Press, 2017.

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46

Using the Electronic Health Record in the Healthcare Provider Practice. CENGAGE Delmar Learning, 2007.

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47

Tejerina, Luis, Jennifer Nelson et Gianluca Cafagna. Electronic Health Record Systems : Definitions, Evidence, and Practical Recommendations for Latin America and the Caribbean. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002240.

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48

Jones, Stephan, et Frank M. Groom. Information and Communication Technologies in Healthcare. Auerbach Publishers, Incorporated, 2016.

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49

Jones, Stephan, et Frank M. Groom. Information and Communication Technologies in Healthcare. Auerbach Publishers, Incorporated, 2016.

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50

Scheuner, Maren T., Marcia Russell, Jane Peredo, Alison B. Hamilton et Elizabeth M. Yano. Implementing Lynch Syndrome Screening in the Veterans Health Administration. Sous la direction de David A. Chambers, Wynne E. Norton et Cynthia A. Vinson. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190647421.003.0024.

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Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome. Diagnosis of LS has important clinical implications for CRC patients and their family members. LS screening in tumor tissue is possible, and screen-positive cases are referred for diagnostic testing. This case study describes how implementation science informed a population-based LS screening program in the Veterans Health Administration (VHA), the largest integrated health care delivery system in the United States. Successful implementation strategies relied on the organizational structures and processes characteristic of integrated health care systems, including data warehousing methods that leverage the electronic health record, case management, and centralized technical assistance. Challenges to sustainability of the population-based program include low prevalence of LS among veterans, limited expertise, organizational changes, and the rapidly evolving field of precision oncology. LS screening is an exemplar case study for implementation science in integrated health care delivery systems.
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