Submission Instructions
The Healthier Innovation Conference 2025 will consider submission of Abstracts. All submissions must conform to the format and presentation requirements described herein. Specific file formatting requirements as well as an example template are given below in the submission format section. Please also pay particular attention to instructions at the end on the File Format Requirements and Reference Format. The submitted research from this conference will be published as the ConductScience Proceedings indexed in Google scholar, DOI and ISSN placement for CV use.
More than 200 people use healthierinnovation to submit abstracts. Submit yours now!


When submitting, please choose only 1 member of Scientific Committee to review your abstract!
To ensure a smooth review process, all submitted abstracts must meet the following formatting requirements:
- Line Numbering:
- Continuous line numbering should be enabled throughout the abstract.
- Line numbers must appear in the left margin of each page to facilitate precise comments and feedback during the review.
- Page Numbering:
- Pages must be numbered sequentially, starting from the title page.
- Page numbers should be placed in the header or footer of the document, preferably on the top or bottom right corner.
Failure to include line and page numbering may delay the review process. Please ensure these formatting requirements are adhered to before submission.

- A PDF or a Word document. The file should be submitted to the Manuscript section (Details Tab), and also the text of the
- PDF/Word should be submitted to the Abstract section (Manuscript Information Tab).
- A single column formatted document.
- Word count: Up to 5000 words.
- Formatted for U.S. Letter (8.5 x 11 inch) paper size with one-inch margins left, right, top, and bottom.
And, the text within the Submission is formatted as follows:
- Title is 14-point bold, centered, title case (using initial capitals for each word in the title other than articles and prepositions);
- Below the title, are the names, credentials, institutions and locations of the author(s) or panelists, exactly as they are to appear in the online and print programs and the Proceedings, using 12-point Times New Roman typeface, single column, bold, centered, upper and lower case using appropriate capitals;
- The main text of the submission is single-spaced in 10-point Times New Roman typeface, justified, one-column format;
- References should be added at the end of the abstract;
- Tables and graphs can be submitted as an attached image document with your abstract. Allowed formats are: gif, png, jpg, jpeg, tif, tiff,; max. file size is 15 MB; max. size of one image is 1500px. Please remember to insert the reference (Table 1, Figure 1, etc.) in the abstract.
- All caps, bold, italics, or underline are only used for emphasis.
Abstract
Topic
Title
Abstract
Body
Do not include any keywords or commercial advertising.

Undergraduate research
The Undergraduate research track aims to promote the submission of undergraduate students and encourage them to represent their work. Contributions in this track should include researches made in the field of healthcare and data analytics.
Technology (system demonstration)
The Technology track focuses on the specific purposes of the systems, services, or projects made for the problems in health care practice and data analytics field. Contributions in this track should include system demonstrations for the field of health care and data analytics.
Data Analytics
The Data Analytics track focuses on a broad spectrum of data analytics methodologies, emphasizing both theoretical advancements and practical implementations.
Global Health
The Global Health Track focuses on a comprehensive exploration of strategies, innovations, and policies aimed at improving health outcomes worldwide.
Clinical Informatics
The Clinical Informatics track focuses on the integration of data, information systems, and technology to enhance clinical decision-making, streamline workflows, and improve patient outcomes. This track emphasizes the development, evaluation, and application of informatics solutions that support healthcare professionals and ultimately foster more efficient, effective, and patient-centered care.