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The 10th IEEE International Conference on Healthcare Informatics

The 10th IEEE International Conference on Healthcare Informatics

Rochester , United States

Submission Deadline: Monday 31 Jan 2022

Conference Dates: Jun 11, 2022 - Jun 14, 2022

Research
Impact Score 0.60

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.60
Contributing Best Scientists: 9
H5-index:
Papers published by Best Scientists 11
Research Ranking (Computer Science) 242
Research Ranking (Medicine) 55

Conference 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

Top Research Topics at IEEE International Conference on Healthcare Informatics?

  • Artificial intelligence (27.61%)
  • Machine learning (12.56%)
  • Data mining (9.95%)

The conference was organized to reinforce research efforts on Artificial intelligence, Machine learning, Data mining, Data science and Informatics. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Pattern recognition, Computer vision and Natural language processing. Support vector machine is a focus of the presented Machine learning works and it dives deep in Support vector machine.

What are the most cited papers published at the conference?

  • ECG Heartbeat Classification: A Deep Transferable Representation (113 citations)
  • Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect (88 citations)
  • BioSentVec: creating sentence embeddings for biomedical texts (88 citations)

Research areas of the most cited articles at IEEE International Conference on Healthcare Informatics:

The most cited publications mainly tackle studies in Artificial intelligence, Machine learning, Deep learning, Feature extraction and Convolutional neural network. The works on Artificial intelligence tackled in the conference papers bring together disciplines like Task analysis, Computer vision and Pattern recognition. The most cited papers explore topics in Machine learning which can be helpful for research in disciplines like Social media, Clinical events, Data mining and Mobile device.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Internal medicine
  • Statistics

The previous edition focused in particular on these issues:

IEEE International Conference on Healthcare Informatics facilitates discussions on Artificial intelligence, Machine learning, Coronavirus disease 2019 (COVID-19), Natural language processing and Medical emergency. IEEE International Conference on Healthcare Informatics connects research in Artificial intelligence with the related topic of Pattern recognition. The Pattern recognition research dealing mostly with Segmentation is the focus of the conference.

The event holds forums on Coronavirus disease 2019 (COVID-19) that merges themes from other disciplines such as Data science and Internet privacy. While IEEE International Conference on Healthcare Informatics focused on Natural language processing, it was also able to explore topics like Named-entity recognition, Transformer (machine learning model) and Clinical trial.

The most cited articles from the last conference are:

  • Visualizing College Students’ Geo-Temporal Context-Varying Significant Phone Call Patterns (4 citations)
  • Multi-Task Transfer Learning with Data Augmentation for Recognizing Question Entailment in the Medical Domain (1 citations)
  • Towards an Artifact-Supported Performance Management Framework for Collaborative Care Delivery (1 citations)

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.

Research.com

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.

Research.com

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.

Research.com

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.

Research.com

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.

Research.com

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.

Research.com

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).

Research.com

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

Research.com

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Previous Editions

The 10th IEEE International Conference on Healthcare Informatics

Jun 11, 2022 - Jun 14, 2022

Rochester , United States, United States

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