Taconic Health Information Network and Community (THINC)
NCT ID: NCT00225563
Last Updated: 2019-11-25
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
30 participants
INTERVENTIONAL
2007-07-21
2014-05-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Evaluating the Effects of EHRs, P4P and Medical Home Redesign in the Hudson Valley
NCT00793065
Mobile Phone Technology for Chronic Pain Patients- A Feasibility Study
NCT02447107
Project IntERact V2
NCT05109325
Penn Medicine Biobank Return of Results Program
NCT06089954
A Phased-Implementation Feasibility and Proof-of-Concept Study to Assess Incorporating the NIDA CTN Common Data Elements (CDEs) Into the Electronic Health Record (EHR) in Large Primary Care Settings ("CDE-EHR-PC" Study), Phase 3
NCT02963948
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
We plan to introduce a vendor based electronic prescribing system by July 2005. This system will be offered to all physicians using clinical messaging and will be integrated with the EMR system. The system will have clinical decision support, such as checks for drug-drug interactions.
Our evaluation will measure differences in rates of medication errors and quality measures amongst these three groups. We will use a study design of a pre-post evaluation with a comparison control group. We will detect medical errors by prescription and chart review. We will determine compliance with quality measures through a combination of electronic data and chart review.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NON_RANDOMIZED
FACTORIAL
PREVENTION
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
e-prescribing
Providers who used electronic prescriptions. electronic health records were used as opposed to paper based prescriptions
Electronic Health Record
e-prescribing methods
Paper-based prescriptions
providers who used paper based prescriptions
No interventions assigned to this group
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Electronic Health Record
e-prescribing methods
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Weill Medical College of Cornell University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
A. John Blair, MD
Role: PRINCIPAL_INVESTIGATOR
Taconic IPA
Rainu Kaushal, MD
Role: PRINCIPAL_INVESTIGATOR
Partners Health Care
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Taconic IPA
Fishkill, New York, United States
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Abramson EL, Barron Y, Quaresimo J, Kaushal R. Electronic prescribing within an electronic health record reduces ambulatory prescribing errors. Jt Comm J Qual Patient Saf. 2011 Oct;37(10):470-8. doi: 10.1016/s1553-7250(11)37060-2.
Kaushal R, Kern LM, Barron Y, Quaresimo J, Abramson EL. Electronic prescribing improves medication safety in community-based office practices. J Gen Intern Med. 2010 Jun;25(6):530-6. doi: 10.1007/s11606-009-1238-8. Epub 2010 Feb 26.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.