Cited by 69Electronic Health Records SystemsTechnology and Human Factors in Education and HealthMedical Coding and Health Information

E-Prescribing Collaboration in Massachusetts: Early Experiences from Regional Prescribing Projects

Open access
Halamka, J., Aranow, M., Ascenzo, C., Bates, D. W., Berry, K., Debor, G., Fefferman, J., Glaser, J. +6 more·2006·Journal of the American Medical Informatics Association

Abstract

Massachusetts payers and providers have encouraged clinician usage of e-Prescribing technology to improve patient safety, enhance office practice efficiencies, and reduce medical costs. This report describes three early pilot e-Prescribing projects as case studies. These projects identified the e-Prescribing needs of clinicians, illustrated key issues that made implementation difficult, and clarified the impact of various types of functionality. The authors identified ten key barriers: (1) previous negative technology experiences, (2) initial and long-term cost, (3) lost productivity, (4) competing priorities, (5) change management issues, (6) interoperability limitations, (7) information technology (IT) requirements, (8) standards limitations, (9) waiting for an "all-in-one solution," and (10) confusion about competing product offerings including hospital/Integrated Delivery System (IDN)-sponsored projects. In Massachusetts, regional projects have helped to address these barriers, and e-Prescribing activities are accelerating rapidly within the state.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1197/jamia.m2028

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Real-time troubleshooting facilitates the effective use of the eHealth system.

    “Real time troubleshooting (especially through internal resources) facilitates the effective use of the eHealth system and becomes essential to the system success in terms of actual usage [49,124].”
  • Real-time troubleshooting is essential to the eHealth system's success in terms of actual usage.

    “Real time troubleshooting (especially through internal resources) facilitates the effective use of the eHealth system and becomes essential to the system success in terms of actual usage [49,124].”
  • Health care providers may lack adequate computer skills to use eHealth systems.

    “For example, health care providers may lack the adequate computer skills to use eHealth systems or had previous negative technology experiences [49,121].”
  • Health care providers may have had previous negative technology experiences.

    “For example, health care providers may lack the adequate computer skills to use eHealth systems or had previous negative technology experiences [49,121].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. [2]Physician socioeconomic statistics, 2001–2002 Edition. Chicago: AMA, 2001.
  2. [9]DrFirst, Inc. Joins eRx Collaborative, January 27, 2005. Available from: http://www.tuftshealthplan.com/about/about.php?sec=news&content=n-DrFirst_joins_collaborative. eRx Collaborative End of Year Press Release, “More than three million electronic prescriptions transmitted through the eRx collaborative,” January 2006.
  3. [11]MA-SHARE's MedsInfo-ED final report, August 2005. Available from: http://www.mahealthdata.org/ma-share/projects/medsinfo/20050825_MedsInfo-ED_FinalRpt.pdf, pp. 33–6.
  4. [12]Kaushal K, Jordan HS, Wrobel M, Gottlieb LK. Qualitative evaluation of the MedsInfo-ED prescription history intervention pilot, August 2005. Available from: http://www.mahealthdata.org/ma-share/projects/medsinfo/20050825_MedsInfo-ED_FinalRpt.pdf, pp. 37–40.

Cited by

Sorted by citations

Authors
Halamka, J., Aranow, M., Ascenzo, C., Bates, D. W., Berry, K., Debor, G., Fefferman, J., Glaser, J., Heinold, J., Stanley, J., Stone, D. L., Sullivan, T. E., Tripathi, M., & Wilkinson, B.
Affiliations
  • Harvard University (US)
  • Brigham and Women's Hospital (US)
Corresponding author
Halamka, J.
Venue
Journal of the American Medical Informatics Association
Published
2006-05-01
Volume
13
Issue
3
Pages
239-244
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2132196140
Cited by
68
References
3
Citations by year
2026: 1 · 2025: 1 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 2 · 2017: 2 · 2016: 2 · 2015: 1 · 2014: 3 · 2013: 8 · 2012: 6
FWCI
16.08
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Medical Informatics Association (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Keywords
electronic prescribing, implementation barriers, interoperability, health information technology standards, change management, integrated health system, patient safety, healthcare cost reduction
MeSH terms
Health Plan Implementation, Humans, Massachusetts, Pilot Projects, Drug Prescriptions, Regional Medical Programs, Societies, Medical, Software, State Health Plans, United States, Medical Records Systems, Computerized, Medical Order Entry Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review