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The 10th IEEE International Conference on Healthcare Informatics

The 10th IEEE International Conference on Healthcare Informatics (ICHI)

Name: International Conference on Healthcare Informatics
Start: 2022-06-11
End: 2022-06-14
Location: Rochester

Location: Rochester , United States

Submission deadline: 1/31/2022

Conference dates: 6/11/2022 - 6/14/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Medicine	22	24	29	5
Biology and Biochemistry	24	8	8	3
Computer Science	320	90	146	10

Call for Papers

Tracks
ICHI 2022 serves as a venue for the discussion of innovative technologies and implementation science, highlighting end-to-end applications, systems, and technologies, even if available only in prototype form. We strongly encourage authors to submit their original contributions describing their algorithmic, methodological or empirical contributions, and theories relevant to the broader context of health informatics. Submissions can focus on one or more specific aspects of theory, design, development, evaluation, or deployment.

Analytics Track
In the Analytics track, we invite submission on novel methods for exploring and analyzing healthcare data such as biomedical pattern recognition, biomarker discovery, disease profiling and personalized treatment, natural language processing and text mining, recommender systems, clinical phenotyping, visual analytics, explainability, and epidemiological modeling. Submissions may also report studies on data quality assurance, data cleaning, pre-processing, and ensuring quality and integrity of healthcare data. As large amounts of data become available in healthcare, we anticipate research submissions that address big data related topics (e.g. distribution and parallelization of data analytics in healthcare, large scale textual and graph data analytics, optimization of data analytics techniques, and novel statistical approaches to big data analytics in healthcare). Additionally, we encourage submission on privacy and security in sharing healthcare data as well as evaluation and validation of methods in healthcare data analytics.

Human Factors Track
Contributions in the realm of Human Factors might include empirical studies of health-related information use and needs, socio-technical studies on the implementation and use of health information technology, studies on health informatics in the context of community impact and implications, descriptions of innovative user-centered design solutions, and studies of public policy on leveraging health informatics infrastructures. Submissions might report studies of user requirements, user-centered designs, or evaluations for use by professionals or members of the public, in hospitals, other care environments, or in the community (e.g. people’s homes). A broad range of interactive health technologies are of interest, including the human factors of information technology for healthcare delivery and management; interactive visualizations of health data; user interactions with decision-support systems; human factors for electronic health records and other types of clinical applications; interaction design for wearable and ubiquitous health technologies; and the interaction design of novel multimodal health devices.

Systems Track
The Systems track welcomes submissions related to the design, development, deployment, and evaluation of high-performing privacy-preserving and secure software or hardware systems. The goals of these systems can be for improving healthcare efficiency, data quality, patient safety, infrastructure sustainability, care continuity, and cost containment outcomes. The Systems track also welcomes submissions on studies of consumer-facing applications that educate, engage, and empower patients or the general public to promote health and wellbeing; public health and population health informatics applications that monitor and control disease epidemic and address health issues at the population level; global health informatics research that focuses on disseminating innovations to developing economies; and research informatics innovations that enable or facilitate the conduct of basic science and clinical and translational research, especially in patient care settings towards learning health systems. Studies involving rigorous evaluation components are particularly encouraged, as well as studies describing innovative designs to address deficiencies or known unintended adverse consequences, such as disrupted workflow, diminished efficiency, decreased documentation quality, and escalated patient safety risks.

Overview

This ranking presents a comprehensive list of scientific conferences in the field of Engineering and Technology, meticulously compiled to support academics, researchers, and professionals in identifying the most influential conferences in the discipline. Developed by Research.com, a leading platform renowned for providing trusted and authoritative data on scientific contributions since 2014, the ranking is underpinned by a rigorous and transparent analytical process.

The placement of each conference within this ranking is determined by a unique bibliometric score crafted by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in the conference over the preceding three years. The current Impact Score values were collected as of 2024-11-27, ensuring the data’s relevance and accuracy for the current academic landscape.

The ranking results from an exhaustive assessment process, which began with a close examination of over 2,262 conferences. These conferences were selected after a detailed inspection and rigorous analysis of more than 26,934 scientific documents published in the last three years by 9,385 of the most respected and influential scientists within Engineering and Technology. This approach guarantees both the depth and the validity of the ranking, reflecting the sustained scholarly excellence recognized by experts in the field.

To further enhance transparency, full details regarding the precise methodology used for computing ranking scores are available on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at IEEE International Conference on Healthcare Informatics (based on the number of publications) are:

Christopher C. Yang (20 papers) published 2 papers at the last edition, 1 less than at the previous edition,
Hongfang Liu (11 papers) absent at the last edition,
Ivan Marsic (10 papers) absent at the last edition,
Yanshan Wang (9 papers) absent at the last edition,
Randall S. Burd (9 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at IEEE International Conference on Healthcare Informatics (based on the number of publications) are:

IBM (28 papers) published 3 papers at the last edition the same number as at the previous edition,
Mayo Clinic (26 papers) absent at the last edition,
Drexel University (25 papers) published 2 papers at the last edition, 1 less than at the previous edition,
University of Utah (21 papers) published 1 paper at the last edition, 1 less than at the previous edition,
University of Texas at Dallas (14 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 13.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.50% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.75% of all publications and 40.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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