OpenAI 2026 hackathon

NersCare ICU

AI-assisted loneliness assessment and education for ICU patients, nurses, and families

Solo project by DWI WAHYU BINTARTO PRASETYO · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,518 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
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1k
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05,592
11,758
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5–975
10+14

Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be

NersCare ICU is a self-reported web-based digital tool for assessing and educating about patient loneliness in ICU settings. It was built as part of a hackathon project by one individual (DWI WAHYU BINTARTO PRASETYO) and is described as an AI-assisted system, though no AI functionality is detailed.

What changed

The project emerged from a hackathon submission with the stated goal of supporting ICU nurses, research teams, and families in documenting patient loneliness using a structured digital workflow. It includes features for patient registration, assessment, scoring, education, and public simulation.

Single most important open question

Is there any evidence that this system has been tested or validated in real-world ICU environments, or is it purely conceptual?

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What The Product Actually Is

The description states:

  • NersCare ICU is a web-based assessment and education system for ICU patient loneliness.
  • It supports patient data registration, eligibility checking, and structured loneliness questionnaires based on the De Jong Gierveld Loneliness Scale.
  • It includes scoring logic, category interpretation, educational content, and a public loneliness calculator.
  • The system is built using Laravel, MySQL, PHP, HTML5, CSS3, JavaScript, and supports PWA (Progressive Web App) features.

Inference It appears to be a prototype or proof-of-concept tool designed for clinical use in ICU settings, but not yet validated in real-world deployment.

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Positioning & Claim Evolution

The description states:

  • The product is positioned as an AI-assisted loneliness assessment and education system.
  • It aims to support ICU nurses, research teams, and families.
  • It was built to help document loneliness in a structured way during daily care.

Inference The positioning evolved from a hackathon idea into a tool for clinical documentation and patient education, with an emphasis on usability and emotional support.

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Target Customer & ICP

The description states:

  • The system is intended for ICU nurses, research teams, and families.
  • It also supports public simulation via a loneliness calculator.

Inference The primary users appear to be healthcare professionals (nurses, researchers) and family members of ICU patients, with secondary public-facing use.

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Business Model & Pricing Evidence

Not evidenced.

Explanation

There is no mention of pricing, monetization, or business model in the description. The project is presented as a hackathon submission without commercial intent.

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Technical & Delivery Signals

The description states:

  • Built with Laravel, MySQL, PHP, HTML5, CSS3, JavaScript, and supports PWA.
  • Includes public pages, authenticated staff dashboards, patient management, assessment workflows, scoring logic, result history, and educational content management.

Inference The system is a basic web application with a clear structure for user roles, data handling, and educational features. It is not described as scalable or production-ready.

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Traction & Maturity Signals

Not evidenced.

Explanation

No evidence of customers, users, revenue, adoption, or product maturity beyond the hackathon submission exists in the description.

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Competitive Context

Not evidenced.

Explanation

There is no mention of competitors or market positioning beyond the project’s own claims. No competitive landscape or differentiation strategy is described.

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Key Risks & Red Flags

  • Unvalidated clinical tool: The system is built on a clinical scale but lacks evidence of validation in real-world settings.
  • Single-person development: The team size is listed as one, raising questions about scalability and long-term maintenance.
  • AI claims without detail: The product is described as AI-assisted, but no AI functionality or implementation details are provided.
  • No commercial traction: No evidence of revenue, customers, or market adoption beyond the hackathon.

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Diligence Questions To Ask The Founders

  1. Has this system been tested in any real ICU environment?
  2. What clinical validation has been performed on the De Jong Gierveld scale implementation?
  3. Are there plans to integrate with existing hospital systems or EHRs?
  4. How is user privacy and data security handled, especially for sensitive patient information?
  5. What are the specific AI features, if any, and how do they enhance the tool’s functionality?
  6. Is there a roadmap for clinical trials or research partnerships?

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Investment/Partnership Verdict

Not evidenced.

Explanation

There is no evidence of revenue, traction, or commercial viability to support an investment or partnership decision. The project is described as a hackathon submission with no indication of further development or market readiness.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.