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Delhi News Updated Jul 6, 2026

AIIMS Delhi Uses Blockchain for Largest Faculty Recruitment, 460 Posts Filled

AIIMS Delhi declared results for 460 faculty posts using blockchain technology for transparency. Over 3,200 applicants competed for positions at AIIMS New Delhi and CAPFIMS campus. The process used OTP-locked marks and algorithmic merit lists to minimize human intervention. This recruitment is expected to enhance medical education, patient care, and research.

AIIMS Delhi announces results for 460 faculty posts using blockchain technology

New Delhi, July 6

The All India Institute of Medical Sciences, Delhi, on Sunday declared the results of its massive faculty recruitment drive, filling over 460 vacant positions ranging from Assistant Professors to Professors across more than 50 disciplines.

The selections cover AIIMS New Delhi and the newly established AIIMS-Central Armed Police Forces Institute of Medical Sciences (CAPFIMS) campus at Maidan Garhi. The recruitment saw over 3,200 applicants competing for 265 posts at AIIMS New Delhi and 199 posts at the AIIMS-CAPFIMS campus.

The entire selection process, which spanned six months, was conducted with advanced digital safeguards to ensure the highest levels of transparency and integrity.

In a pioneering move, AIIMS utilised block-chain digital technology for the recruitment. Candidates' marks were digitally locked using one-time passwords (OTPs), and a specially designed software generated the final merit list through pre-defined algorithms. Human intervention was limited only to resolving ties, making the process largely automated and tamper-proof. This technological approach not only maintained confidentiality but also enabled the swift declaration of results.

This recruitment drive is being hailed as one of the largest faculty hiring exercises undertaken by AIIMS in recent years. The induction of a large number of highly qualified faculty members is expected to significantly strengthen medical education, patient care services, and cutting-edge research activities at both institutions.

The addition of new faculty will help reduce the existing gaps in teaching and clinical departments, improve the teacher-student ratio, and expand specialised healthcare services. It will also boost AIIMS' capacity to conduct advanced medical research and training programmes, further cementing its position as a premier medical institute in the country.

The successful implementation of block-chain technology in such a large-scale public recruitment process is likely to serve as a model for future selections in other central institutions.

— IANS

Reader Comments

Sarah B

Impressive scale! 460 positions filled from 3,200 applicants means intense competition. But I'm curious - how does blockchain actually prevent manipulation in practice? Are the OTPs sent to each candidate's registered phone? Also, the "human intervention only for ties" part sounds promising. Would love to see a technical whitepaper explaining the architecture. Good job, AIIMS! 👍

Rajesh Q

Yaar, finally some good news from government recruitment! Usually these things take years and are full of backdoor entries. But abhi bhi ek doubt hai - is the final list completely public? Can candidates verify their own marks on the blockchain? Transparency tab tak nahi hogi jab tak hum khud check na kar sakein. Phir bhi, kudos to AIIMS for trying new tech! 🎉

Priya S

This is exactly what India needs - technology-driven governance! As someone who applied for a faculty position and didn't get selected, I still feel the process was fair because I could see my scores digitally. The only suggestion: please also include a grievance redressal mechanism online. But overall, a huge step forward. Our medical institutions badly need this kind of innovation! 👩‍⚕️💪

Michael C

Great to see AIIMS leveraging technology, but let's not get carried away. Blockchain alone doesn't guarantee fairness - the algorithm design and the selection criteria matter more. Also, how were the interview scores integrated? Automation is good for objective parts, but subjective assessments like teaching ability and research potential need human judgment. Hope the process was balanced! 🤔

K Kavya N

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