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Glaucoma: Overview01:25

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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...

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Related Experiment Video

Updated: May 8, 2026

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
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Harnessing Generalizable Real-World Ophthalmic Big Data: Descriptive Analysis of the Bodhya Eye Consortium Model for

Ishaana Sood1,2, Shalinder Sabherwal1,2, Umang Mathur1,2

  • 1Dr Shroff's Charity Eye Hospital, New Delhi, India.

Online Journal of Public Health Informatics
|September 30, 2024
PubMed
Summary

The Bodhya Eye Consortium, a collaboration of North Indian eyecare organizations, demonstrates a successful model for high-quality, collaborative research. Their standardized data practices yield valuable insights with potential global health applications.

Keywords:
North Indiaanthropological and genomic heterogeneitybig datacollaborative researchconsortiumgeneralizabilityglobal health impact

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Area of Science:

  • Ophthalmology and Public Health Research Collaboration
  • Genomics and Anthropology in Population Health
  • Data Standardization in Clinical Research

Background:

  • Global health initiatives increasingly focus on integrating population health with medical practice.
  • Indian populations comprise Ancestral North Indians (akin to Central Asians/Europeans) and Ancestral South Indians, offering diverse genetic insights.
  • North Indian studies have implications for global populations due to shared genetic affinities.

Purpose of the Study:

  • To outline the formation of the Bodhya Eye Consortium, a collaborative model for North Indian eyecare organizations.
  • To harness real-world, high-quality data for collaborative eyecare research.
  • To establish a framework for controlled, collaborative research among leading eyecare institutions.

Main Methods:

  • Implemented a structured roadmap: planning, task force establishment, specialty definition, objective setting, and SWOT analysis.
  • Conducted a comprehensive data audit to standardize data collection across participating organizations.
  • Established governance structures: Governing Council, Scientific Committee, and Conflict Resolution Committee.

Main Results:

  • The consortium comprises 9 organizations with established governance and scientific oversight.
  • An organization-wide data audit confirmed accurate, standardized data collection in most sites.
  • Adopted data collection proformas led to high-quality manuscripts with low dropout rates.

Conclusions:

  • The Bodhya Eye Consortium model facilitates significant contributions to eyecare scientific knowledge.
  • Research findings are generalizable to global populations (European, Middle Eastern, European American) due to population heterogeneity.
  • The consortium's data and collaborative model hold substantial global health implications and potential for broader research partnerships.