Books on the topic 'Drugs Prescribing Data processing'

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1

Principles of electronic prescribing. London: Springer, 2008.

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2

), Centers for Medicare &. Medicaid Services (U S. E-prescribing: Connecting to better health care. [Baltimore, Md.?]: Centers for Medicare & Medicaid Services, 2008.

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3

E-prescribing: The electronic transformation of medicine. Sudbury, Mass: Jones and Bartlett Publishers, 2009.

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4

Duggan, Mark G. Does medicaid pay too much for prescription drugs?: A case study of atypical anti-psychotics. Cambridge, Mass: National Bureau of Economic Research, 2003.

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5

Virginia. Dept. of Medical Assistance Services. Report on programs and incentives to encourage e-prescribing by Medicaid providers. Richmond, VA: Commonwealth of Virginia, 2009.

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6

United States. Congress. Senate. A bill to amend title XVIII of the Social Security Act to provide incentives to physicians for writing electronic prescriptions. Washington, D.C: U.S. G.P.O., 2007.

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7

United States. Congress. Senate. Committee on the Judiciary. Electronic prescribing of controlled substances: Addressing health care and law enforcement priorities : hearing before the Committee on the Judiciary, United States Senate, One Hundred Tenth Congress, first session, December 4, 2007. Washington: U.S. G.P.O., 2008.

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8

Electronic prescribing: A safety and implementation guide. Sudbury, Mass: Jones and Bartlett Publishers, 2009.

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9

Bae, Jay. Medicaid drug use review demonstration projects: Report to Congress, 1995. [Baltimore, Maryland?]: U.S. Department of Health and Human Services,Health Care Financing Administration, Office of Research and Demonstrations, 2002.

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10

Senate, United States Congress. A bill to amend title XVIII of the Social Security Act to require physician utilization of the Medicare electronic prescription drug program. Washington, D.C: U.S. G.P.O., 2007.

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11

Nagel, Stuart S. Computer-aided judicial analysis: Predicting, prescribing, and administering. Westport, Conn: Quorum, 1992.

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12

L, Davidson Robert, ed. Computer-aided chemistry: New routes to tomorrow's drugs and chemicals. Fort Lee, N.J: Technical Insights, 1986.

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13

Practices, LLC Best. Creating business value through data warehousing systems. Chapel Hill, NC: Best Practices, 2001.

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14

Computational approaches in cheminformatics and bioinformatics. Hoboken, N.J: Wiley, 2012.

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15

Hsü, Tuan-cheng. Computer analysis of sequential medical trials. New York: Ellis Horwood, 1990.

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16

Office, General Accounting. Controlled substances: Medicaid data may be useful for monitoring diversion : report to the chairman, Select Committee on Narcotics Abuse and Control, House of Representatives. Washington, D.C: The Office, 1988.

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17

Practical guide to clinical data management. 3rd ed. Boca Raton: CRC Press, 2012.

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18

Anne, Mason, and Association of the British Pharmaceutical Industry. Office of Health Economics., eds. Influencing prescribing in a primary care led NHS: A review of the management of prescribing and findings from the MANMED survey. London: Office of Health Economics, 2002.

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19

1968-, Miles Jeremy, ed. Discovering statistics using SAS: (and sex and drugs and rock 'n' roll). Los Angeles: SAGE, 2010.

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20

W, Gibson. Validation fundamentals: How to, what to, when to validate. Buffalo Grove, Ill: Interpharm Press, 1998.

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21

Fen zi mo ni yu ji suan ji fu zhu yao wu she ji. Shanghai Shi: Shanghai jiao tong da xue chu ban she, 2012.

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22

A practical guide to clinical data management. 2nd ed. Boca Raton: CRC/Taylor & Francis, 2007.

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23

1971-, Hillisch Alexander, and Hilgenfeld R, eds. Modern methods in drug discovery. Boston, MA: Birkhauser Verlag, 2002.

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24

Office, General Accounting. Adverse drug events: The magnitude of health risk is uncertain because of limited incidence data : report to Congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.

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25

Yu, Sun-ch'ŏl. K'omp'yut'ŏ chiwŏn yangmul sŏlgye. [P'yŏngyang]: Ŭihak Kwahak Ch'ulp'ansa, 2012.

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26

Office, General Accounting. Adverse drug events: The magnitude of health risk is uncertain because of limited incidence data : report to Congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.

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27

Office, General Accounting. Adverse drug events: The magnitude of health risk is uncertain because of limited incidence data : report to Congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.

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28

Practical guide to clinical data management. Denver, Colo: Interpharm Press, 1999.

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29

Flow injection analysis of pharmaceuticals: Automation in the laboratory. London: Taylor & Francis, 1996.

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30

Calatayud, José Martínez. Flow Injection Analysis Of Pharmaceuticals. London: Taylor & Francis Group Plc, 2004.

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31

C, Peck Carl, and SpringerLink (Online service), eds. Clinical Trial Simulations: Applications and Trends. New York, NY: American Association of Pharmaceutical Scientists, 2011.

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32

Classical and adaptive clinical trial designs with ExpDesign Studio? Hoboken, N.J: John Wiley, 2008.

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33

Herson, Jay. Data and safety monitoring committees in clinical trials. Boca Raton: Chapman & Hall/CRC/Taylor & Francis, 2009.

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34

Office, General Accounting. Drug regulation: FDA's computer systems need to be better managed : report to the Chairman, Subcommittee on Intergovernmental Relations and Human Resources, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1986.

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35

Goundrey-Smith, Stephen. Principles of Electronic Prescribing. Springer, 2012.

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36

Goundrey-Smith, Stephen. Principles of Electronic Prescribing. Springer, 2014.

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37

Goundrey-Smith, Stephen. Principles of Electronic Prescribing. Springer London, Limited, 2012.

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38

Capturing Social and Behavioral Domains and Measures in Electronic Health Records. National Academies Press, 2015.

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39

Capturing Social and Behavioral Domains in Electronic Health Records: Phase 1. National Academies Press, 2014.

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40

Prescription drugs and Medicaid: Automated review systems can help promote safety, save money : report to congressional requesters. Washington, D.C: The Office, 1996.

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41

Stefan, Schuber, ed. CANDA conference revolution: A revolutionary and evolutionary approach : proceedings '92. Eugene, Or: Aster Publishing Corporation, 1992.

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42

Bender, Andreas, and Rajarshi Guha. Computational Approaches in Cheminformatics and Bioinformatics. Wiley & Sons, Incorporated, John, 2012.

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43

Bender, Andreas, and Rajarshi Guha. Computational Approaches in Cheminformatics and Bioinformatics. Wiley & Sons, Incorporated, John, 2011.

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44

Bender, Andreas, and Rajarshi Guha. Computational Approaches in Cheminformatics and Bioinformatics. Wiley & Sons, Incorporated, John, 2011.

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45

Bender, Andreas, and Rajarshi Guha. Computational Approaches in Cheminformatics and Bioinformatics. Wiley & Sons, Incorporated, John, 2012.

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46

Council for International Organizations of Medical Sciences (CIOMS). Development and Rational Use of Standardised MedDRA Queries: Retrieving Adverse Drug Reactions with MedDRA. World Health Organization, 2016.

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47

Bioinformatics and Computational Biology in Drug Discovery and Development. Cambridge University Press, 2018.

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48

Committee on Strategies for Responsible Sharing of Clinical Trial Data, Institute of Medicine, and Board on Health Sciences Policy. Discussion Framework for Clinical Trial Data Sharing: Guiding Principles, Elements, and Activities. National Academies Press, 2014.

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49

Committee on Strategies for Responsible Sharing of Clinical Trial Data, Institute of Medicine, and Board on Health Sciences Policy. Discussion Framework for Clinical Trial Data Sharing: Guiding Principles, Elements, and Activities. National Academies Press, 2014.

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50

Committee on Strategies for Responsible Sharing of Clinical Trial Data, Institute of Medicine, and Board on Health Sciences Policy. Discussion Framework for Clinical Trial Data Sharing: Guiding Principles, Elements, and Activities. National Academies Press, 2014.

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