Evidence map›Paper›PMID 37359193›Full record

ArticleJournal of healthcare informatics research2023

The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19.

Carlo Combi, Julio C Facelli, Peter Haddawy, John H Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare informatics research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.8field-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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 12 institutions in 7 countries.

Carlo CombiUniversity of Verona, Verona, Italy.
Julio C FacelliUniversity of Utah, Salt Lake City, UT USA.
Peter HaddawyMahidol University, Nakhon Pathom, Thailand.
John H HolmesUniversity of Pennsylvania, Philadelphia, PA USA.
Sabine KochKarolinska Institutet, Stockholm, Sweden.
Hongfang LiuMayo Clinic, Rochester, MN USA.
Jochen MeyerOFFIS, Oldenburg, Germany.
Mor PelegUniversity of Haifa, Haifa, Israel.
Giuseppe PozziPolitecnico di Milano, Milan, Italy.
Gregor StiglicUniversity of Maribor, Maribor, Slovenia.
Pierangelo VeltriUniversity Magna Græcia, Catanzaro, Italy.
Christopher C YangDrexel University, Philadelphia, PA USA.
Drexel University · USKarolinska Institutet · SEMahidol University · THMayo Clinic in Arizona · USOldenburger Institut für Informatik · DEPolitecnico di Milano · ITUniversity of Calabria · ITUniversity of Haifa · ILUniversity of Maribor · SIUniversity of Pennsylvania · USUniversity of Utah · USUniversity of Verona · IT

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

In 2020, the CoViD-19 pandemic spread worldwide in an unexpected way and suddenly modified many life issues, including social habits, social relationships, teaching modalities, and more. Such changes were also observable in many different healthcare and medical contexts. Moreover, the CoViD-19 pandemic acted as a stress test for many research endeavors, and revealed some limitations, especially in contexts where research results had an immediate impact on the social and healthcare habits of millions of people. As a result, the research community is called to perform a deep analysis of the steps already taken, and to re-think steps for the near and far future to capitalize on the lessons learned due to the pandemic. In this direction, on June 09th-11th, 2022, a group of twelve healthcare informatics researchers met in Rochester, MN, USA. This meeting was initiated by the Institute for Healthcare Informatics-IHI, and hosted by the Mayo Clinic. The goal of the meeting was to discuss and propose a research agenda for biomedical and health informatics for the next decade, in light of the changes and the lessons learned from the CoViD-19 pandemic. This article reports the main topics discussed and the conclusions reached. The intended readers of this paper, besides the biomedical and health informatics research community, are all those stakeholders in academia, industry, and government, who could benefit from the new research findings in biomedical and health informatics research. Indeed, research directions and social and policy implications are the main focus of the research agenda we propose, according to three levels: the care of individuals, the healthcare system view, and the population view.

Indexed as

Artificial intelligence in medicineBiomedical and health informaticsCoViD-19Research trends

Identifiers

PMID37359193
PMCPMC10150351
OpenAlexW4367601069

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.