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Appl Clin Inform 2012; 03(03): 334-336
DOI: 10.4338/ACI-2012-06-LE-0025
Letters to the Editor
Schattauer GmbH

Measuring the Impact of Health Information Technology

D. Hanauer
1   Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI
,
K. Zheng
2   School of Public Health Department of Health Management and Policy, University of Michigan, Ann Arbor, MI
3   School of Information, University of Michigan, Ann Arbor, MI
› Institutsangaben
Weitere Informationen

Correspondence to:

David A. Hanauer
5312 CC, SPC 5940
1500 E Medical Center Dr.
Ann Arbor, MI 48109
Telefon: 734–615–0599   
Fax: 206–338–4213   

Publikationsverlauf

received: 21. Juni 2012

accepted: 30. August 2012

Publikationsdatum:
16. Dezember 2017 (online)

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Conflict of Interest Statement

The authors declare that they have no conflicts of interest in the research.

  • References

  • 1 Litwin AS, Avgar AC, Pronovost PJ. Measurement error in performance studies of health information technology: Lessons from the management literature. Applied Clinical Informatics 2012; 3: 210-220.
    Thieme ConnectPubMedSuche in Google Scholar
  • 2 Ash JS, Sittig DF, Campbell EM, Guappone KP, Dykstra RH. Some unintended consequences of clinical decision support systems. AMIA Annu Symp Proc 2007: 26-30.
    PubMed
  • 3 van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006; 13: 138-147.
    CrossrefPubMedSuche in Google Scholar
  • 4 Embi PJ, Leonard AC. Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. J Am Med Inform Assoc 2012; 19 e1 e145-e148.
    CrossrefPubMedSuche in Google Scholar
  • 5 Abookire SA, Teich JM, Sandige H, Paterno MD, Martin MT, Kuperman GJ, Bates DW. Improving allergy alerting in a computerized physician order entry system. Proc AMIA Symp 2000: 2-6.
    PubMed
  • 6 Hanauer DA, Wentzell K, Laffel N, Laffel LM. Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS cell phone text messaging reminders to support diabetes management. Diabetes Technol Ther 2009; 11: 99-106.
    CrossrefPubMedSuche in Google Scholar
  • 7 Zheng K, Padman R, Johnson MP, Engberg J, Diamond HH. An adoption study of a clinical reminder system in ambulatory care using a developmental trajectory approach. Stud Health Technol Inform 2004; 107 Pt 2 1115-1119.
    PubMedSuche in Google Scholar
  • 8 Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB, Phillips RS. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med 2003; 163: 2625-2631.
    CrossrefPubMedSuche in Google Scholar
  • 9 Lo HG, Newmark LP, Yoon C, Volk LA, Carlson VL, Kittler AF, Lippincott M, Wang T, Bates DW. Electronic health records in specialty care: a time-motion study. J Am Med Inform Assoc 2007; 14: 609-615.
    CrossrefPubMedSuche in Google Scholar
  • 10 Zheng K, Guo MH, Hanauer DA. Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research. J Am Med Inform Assoc 2011; 18: 704-710.
    CrossrefPubMedSuche in Google Scholar
  • 11 Rotich JK, Hannan TJ, Smith FE, Bii J, Odero WW, Vu N, Mamlin BW, Mamlin JJ, Einterz RM, Tierney WM. Installing and implementing a computer-based patient record system in sub-Saharan Africa: the Mosoriot Medical Record System. J Am Med Inform Assoc 2003; 10: 295-303.
    CrossrefPubMedSuche in Google Scholar
  • 12 Hollingworth W, Devine EB, Hansen RN, Lawless NM, Comstock BA, Wilson-Norton JL, Tharp KL, Sullivan SD. The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study. J Am Med Inform Assoc 2007; 14: 722-730.
    CrossrefPubMedSuche in Google Scholar
  • 13 Talmon J, Ammenwerth E, Brender J, de Keizer N, Nykanen P, Rigby M. STARE-HI –Statement on reporting of evaluation studies in Health Informatics. Int J Med Inform 2009; 78: 1-9.
    CrossrefPubMedSuche in Google Scholar

Correspondence to:

David A. Hanauer
5312 CC, SPC 5940
1500 E Medical Center Dr.
Ann Arbor, MI 48109
Telefon: 734–615–0599   
Fax: 206–338–4213   

  • References

  • 1 Litwin AS, Avgar AC, Pronovost PJ. Measurement error in performance studies of health information technology: Lessons from the management literature. Applied Clinical Informatics 2012; 3: 210-220.
    Thieme ConnectPubMedSuche in Google Scholar
  • 2 Ash JS, Sittig DF, Campbell EM, Guappone KP, Dykstra RH. Some unintended consequences of clinical decision support systems. AMIA Annu Symp Proc 2007: 26-30.
    PubMed
  • 3 van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006; 13: 138-147.
    CrossrefPubMedSuche in Google Scholar
  • 4 Embi PJ, Leonard AC. Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. J Am Med Inform Assoc 2012; 19 e1 e145-e148.
    CrossrefPubMedSuche in Google Scholar
  • 5 Abookire SA, Teich JM, Sandige H, Paterno MD, Martin MT, Kuperman GJ, Bates DW. Improving allergy alerting in a computerized physician order entry system. Proc AMIA Symp 2000: 2-6.
    PubMed
  • 6 Hanauer DA, Wentzell K, Laffel N, Laffel LM. Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS cell phone text messaging reminders to support diabetes management. Diabetes Technol Ther 2009; 11: 99-106.
    CrossrefPubMedSuche in Google Scholar
  • 7 Zheng K, Padman R, Johnson MP, Engberg J, Diamond HH. An adoption study of a clinical reminder system in ambulatory care using a developmental trajectory approach. Stud Health Technol Inform 2004; 107 Pt 2 1115-1119.
    PubMedSuche in Google Scholar
  • 8 Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB, Phillips RS. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med 2003; 163: 2625-2631.
    CrossrefPubMedSuche in Google Scholar
  • 9 Lo HG, Newmark LP, Yoon C, Volk LA, Carlson VL, Kittler AF, Lippincott M, Wang T, Bates DW. Electronic health records in specialty care: a time-motion study. J Am Med Inform Assoc 2007; 14: 609-615.
    CrossrefPubMedSuche in Google Scholar
  • 10 Zheng K, Guo MH, Hanauer DA. Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research. J Am Med Inform Assoc 2011; 18: 704-710.
    CrossrefPubMedSuche in Google Scholar
  • 11 Rotich JK, Hannan TJ, Smith FE, Bii J, Odero WW, Vu N, Mamlin BW, Mamlin JJ, Einterz RM, Tierney WM. Installing and implementing a computer-based patient record system in sub-Saharan Africa: the Mosoriot Medical Record System. J Am Med Inform Assoc 2003; 10: 295-303.
    CrossrefPubMedSuche in Google Scholar
  • 12 Hollingworth W, Devine EB, Hansen RN, Lawless NM, Comstock BA, Wilson-Norton JL, Tharp KL, Sullivan SD. The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study. J Am Med Inform Assoc 2007; 14: 722-730.
    CrossrefPubMedSuche in Google Scholar
  • 13 Talmon J, Ammenwerth E, Brender J, de Keizer N, Nykanen P, Rigby M. STARE-HI –Statement on reporting of evaluation studies in Health Informatics. Int J Med Inform 2009; 78: 1-9.
    CrossrefPubMedSuche in Google Scholar

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