Evidence map›Paper›PMID 18436911›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

"Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management.

Jeffrey L Schnipper, Jeffrey A Linder, Matvey B Palchuk, Jonathan S Einbinder, Qi Li, Anatoly Postilnik, Blackford Middleton

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

  1. Point-of-care tools to support optometric care provision to people with age-related macular degeneration: A randomised, placebo-controlled trial.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022
    Trial
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  16. Clinical Documentation as End-User Programming.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2020
    Article
  17. Use of content management systems to address nursing workflow.International journal of nursing sciences · 2019
    Review
  18. Review
  19. Barriers to Completing Delayed Breast Reconstruction Following Mastectomy: a Critical Need for Patient and Clinician Education.Journal of cancer education : the official journal of the American Association for Cancer Education · 2017
    Article
  20. Article
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

7 authors.

Jeffrey L SchnipperDivision of General Medicine, Brigham and Women's Hospital, 1620 Tremont Street, Boston, MA 02120-1613, USA. jschnipper@partners.org
Jeffrey A Linder
Matvey B Palchuk
Jonathan S Einbinder
Qi Li
Anatoly Postilnik
Blackford Middleton

Funding

Using Information Systems to Improve Cardiac PreventionK08HL072806 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHNIPPER, JEFFREY LAWRENCE · 2003 to 2007
$669k
Improving Care for Acute Respiratory InfectionK08HS014563 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LINDER, JEFFREY A. · 2004 to 2008
$402k
Evaluating Smart Forms and Quality Dashboards in an EHRR01HS015169 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI MIDDLETON, BLACKFORD · 2004 to 2006
$393k
AHRQ HHS 1 R01 HS015169-01AHRQ HHS K08 HS014563AHRQ HHS R01 HS015169NHLBI NIH HHS 1 K08 HL072806-01NHLBI NIH HHS K08 HL072806
6 · The paper itself

Abstract

Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing "Smart Forms" to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions.

Indexed as

Decision Support Systems, ClinicalDisease ManagementMedical Records Systems, ComputerizedUser-Computer InterfaceDocumentationHumansSystems Integration

Identifiers

PMID18436911
PMCPMC2442258

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.