2025

about

H3IT: Home Healthcare, Hospice, and Information Technology Conference is for all stakeholders interested in successfully leveraging technology, from decision-support tools to telehealth to artificial intelligence (AI), in providing care at home.

Since 2014, H3IT has provided an authoritative forum where evidence-based findings, information, and tools are communicated to achieve reduced costs, better care, and better outcomes. H3IT's interdisciplinary and applied elements make the conference relevant to home health providers, IT vendors, and government agencies.

H3IT 2025 will be held as a pre-conference for and co-located with the Annual Meeting of the National Alliance for Care at Home, the largest professional association for home healthcare and hospice in the US. The Alliance and its former organization NAHC has been our partner since 2018. The co-location of the H3IT and the Alliance's meetings provide many opportunities or synergy and networking. We encourage the audience to attend both meetings.

Submissions

Home healthcare, hospice, information, and technology (H31T) conference invites abstract submissions in a variety of interdisciplinary and applied topics, including but not limited to:

• Information Technology (IT) maturity for home health agencies
• Interoperability, data standards, terminologies, and health information exchange
• Home health IT policies and initiatives
• Compliance with the Trusted Exchange Framework and Common Agreement
• Security, privacy, and trust
• Data quality
• Using Artificial intelligence (Al) to create disruptive positive changes in home care
  • Generative AI
  • Natural language processing
• Evaluating AI
• Telehealth
• Family caregivers
• Innovations addressing workforce needs: Hiring and Retention; Education and training; etc.
• Platform-based development of healthcare apps and their effectiveness evaluation
• Empirical investigations and evaluations of Medicare Advantage
• Evaluations of the Impact of Value-Based Purchasing
• Quality assurance for coding, documentation, and OASIS
• Preventing fraud, abuse, and waste; and, facilitating reimbursement processes through the use of technology
• Data analytics, predictive modeling, and decision support for better care, better outcomes, and reduced costs
• Open source solutions, tools, and strategies.
• IT adoption, development, implementation, and project management
• Business cases for adopting informatics and technology in home care: Special Interest on ROI Evaluations - Creating Learning Health Systems (LHS) for home healthcare
• Innovative care delivery and business models supported by informatics and technology
• Business process improvement and re-engineering
• Clinical workflow modeling and improvement
• Smart homes, communities, and cities

There are two tracks:

• Research track for submissions describing completed or ongoing research
• Practice track for submissions describing issues related to practice and/or policy

By midnight July 1, 2025 the abstracts must be submitted to the conference by sending en email attachment to the submissions@h3it.org address. Late submissions will not be considered. Each abstract should provide a one-page summary of an on-going or completed project written with at least 11-point fonts and one-half inch margin on all sides. The one-page limit excludes the list of references. If an abstract includes citations, the list of references should start from the beginning of the second page. The citations and references should follow a numbered style. The JAMIA style is recommended and preferrable. Each abstract must have a title and a list of the authors who significantly contributed to the study with their names, email addresses, and primary institutions. The body of an abstract should be structured as follows –

• Research Track: 1) Background, 2) Methods, 3) Results, 4) Discussion, and 5) Conclusion.
• Practice Track: 1) Problem Statement, 2) Learning Objectives (two to five), 3) Background, 4) Approach/Strategy 5) Findings/Observations/Results 6) Conclusion 7) Recommendations

The abstract submissions will be reviewed and evaluated by the program committee (PC) considering a number of factors such as relevance, novelty, significance, and conformance to submission and formatting rules. The authors of the accepted abstracts will be notified via email by the Notification of Acceptance Date.

The authors of the accepted abstracts will be required to perform the corrections or modifications suggested by the PC and provide a camera-ready copy to be archived by the H3IT conference. The accepted abstracts will be categorized by the PC for either oral or poster presentation. At least one author for each accepted abstract should register and present the study at the conference.