Evidence map›Paper›PMID 19615081›Full record

ArticleBMC medical informatics and decision making2009

Evolving health information technology and the timely availability of visit diagnoses from ambulatory visits: a natural experiment in an integrated delivery system.

Naomi S Bardach, Jie Huang, Richard Brand, John Hsu

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Naomi S BardachDepartment of General Pediatrics, University of California, San Francisco, 3333 California St, Suite 245, San Francisco, CA 94118, USA. bardachn@peds.ucsf.edu
Jie Huang
Richard Brand
John Hsu
University of California, San Francisco · USKaiser Permanente · USUniversity of California, Berkeley · US

Funding

Modeling Health System Infectious Disease DataU01GM076672 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, SUSAN S. · 2006 to 2010
$3.0M
NICHD Institutional Training for PediatriciansT32HD044331 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIERO, DONNA M. · 2003 to 2012
$2.5M
Impact of Health Information Technology on Clinical CareR01HS015280 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI HSU, JOHN · 2004 to 2006
$497k
AHRQ HHS R01 HS015280NICHD NIH HHS T32 HD044331NIGMS NIH HHS U01-GM076672
6 · The paper itself

Abstract

backgroundHealth information technology (HIT) may improve health care quality and outcomes, in part by making information available in a timelier manner. However, there are few studies documenting the changes in timely availability of data with the use of a sophisticated electronic medical record (EMR), nor a description of how the timely availability of data might differ with different types of EMRs. We hypothesized that timely availability of data would improve with use of increasingly sophisticated forms of HIT.

methodsWe used an historical observation design (2004-2006) using electronic data from office visits in an integrated delivery system with three types of HIT: Basic, Intermediate, and Advanced. We calculated the monthly percentage of visits using the various types of HIT for entry of visit diagnoses into the delivery system's electronic database, and the time between the visit and the availability of the visit diagnoses in the database.

resultsIn January 2004, when only Basic HIT was available, 10% of office visits had diagnoses entered on the same day as the visit and 90% within a week; 85% of office visits used paper forms for recording visit diagnoses, 16% used Basic at that time. By December 2006, 95% of all office visits had diagnoses available on the same day as the visit, when 98% of office visits used some form of HIT for entry of visit diagnoses (Advanced HIT for 67% of visits).

conclusionUse of HIT systems is associated with dramatic increases in the timely availability of diagnostic information, though the effects may vary by sophistication of HIT system. Timely clinical data are critical for real-time population surveillance, and valuable for routine clinical care.

Indexed as

Ambulatory CareDelivery of Health Care, IntegratedDiagnosis, Computer-AssistedAdultCaliforniaFemaleHumansMaleMedical InformaticsMedical Records Systems, ComputerizedMiddle AgedObservationQuality of Health Care

Identifiers

PMID19615081
PMCPMC2731742
OpenAlexW2075960787

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.