Evidence map›Paper›PMID 30409339›Full record

ArticleInternational journal of medical informatics2018

Challenges optimizing the after visit summary.

Alex Federman, Erin Sarzynski, Cindy Brach, Paul Francaviglia, Jessica Jacques, Lina Jandorf, Angela Sanchez Munoz, Michael Wolf, Joseph Kannry

Abstract read
In one paragraph

Article in International journal of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2025
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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

9 authors.

Alex FedermanDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: alex.federman@mssm.edu.
Erin SarzynskiDepartment of Family Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Cindy BrachCenter for Delivery, Organization, and Markets, Agency for Healthcare Research and Quality, Rockville, MD, USA.
Paul FrancavigliaEpic Clinical Transformation Group, Information Technology Department, Mount Sinai Health System, New York, NY, USA.
Jessica JacquesEpic Clinical Transformation Group, Information Technology Department, Mount Sinai Health System, New York, NY, USA.
Lina JandorfTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Angela Sanchez MunozDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michael WolfDivision of General Internal Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Joseph KannryDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Development of an EMR-integrated enhanced after visit summaryR21HS023844 · AHRQ · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FEDERMAN, ALEX D · 2015 to 2015
$300k
AHRQ HHS R21 HS023844Intramural AHRQ HHS HS999999
6 · The paper itself

Abstract

backgroundThe after visit summary (AVS) is a paper or electronic document given to patients after a medical appointment, which is intended to summarize patients' health and guide future care, including self-management tasks.

objectiveTo describe experiences of health systems implementing a redesigned outpatient AVS in commercially available electronic health record (EHR) systems to inform future optimization. MATERIALS AND

methodsWe conducted semi-structured interviews with information technology and clinical leaders at 12 hospital and community-based healthcare institutions across the continental United States focusing on the process of AVS redesign and implementation. We also report our experience implementing a redesigned AVS in the Epic EHR at the Mount Sinai Hospital in New York City, NY.

resultsHealth systems experienced many challenges implementing the redesigned AVS. While many IT leaders noted that the redesigned AVS is easier to understand and the document is better organized, they claim the effort is time-consuming, Epic system upgrades render AVS modifications non-functional, and primary care and specialty practices have different needs in regards to content and formatting. Our team was able to modify the document by changing the order of print groups, modifying the font size, bolding section headers, and inserting page breaks. Similar to other health systems, our team found that it is difficult to achieve some desired features due to limitations in the EHR platform.

conclusionHealth IT leaders view the AVS as a valuable source of information for patients. However, limitations to AVS modifications in EHR systems present challenges to optimizing the tool. EHR vendors should incorporate learning from healthcare systems innovation efforts and consider building more flexibility into their product development.

Indexed as

Health LiteracyPrimary Health CareElectronic Health RecordsHumansInterviews as TopicOffice VisitsUnited StatesAfter visit summary (AVS)Electronic health record (EHR)ImplementationRedesign

Identifiers

PMID30409339
PMCPMC6326571

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.