Empowering Civil Engineers to design the sustainable, smart and resilient infrastructure of tomorrow.

I-PRISM training to build a global, future-ready engineering career in smart cities & environmental innovation.

Your Learning Journey at a Glance

What you may have learned:

➤Structural design, materials, construction, environmental engineering, project management, and infrastructure planning.

What you may not know:

➤How healing environments, infection-control layouts, and integrative health campuses are engineered for patient outcomes.

What you will learn:

➤To design biophilic clinics, regenerative health centers, wellness campuses, and scalable franchise infrastructure.

Basic Certification in PRISM

The PRISM Basic Certification is tailored for engineers and technologists, giving them biomedical and healthcare literacy from a systems perspective. Engineers are introduced to human biology, anatomy, physiology, and major medical conditions while learning how Vata-Pitta-Kapha concepts model homeostasis and system behaviour — offering new inspiration for innovation. They gain hands-on exposure to bio-signals, health datasets, and AI-based diagnostics such as digital pulse analysis and integrative telehealth platforms. The program enables engineers to speak both medical and technical language confidently, making them effective collaborators in emerging health-tech environments.

Who should join: ECE, EEE, CS/AI/ML, Mechatronics, Mechanical, Civil engineers — final-year students or early-career professionals interested in biomedical devices, digital health, or healthcare system innovation.

Outcomes
Apply engineering skills to healthcare innovation.
Work effectively with clinicians and biomedical teams.
Use PRISM digital tools and bio-signal analytics in real contexts.

Advanced Certification in PRISM

The Advanced Certification elevates engineers from skilled learners to innovators. Participants work on real-world healthtech solutions such as AI-based Nadi Pariksha devices, rehabilitation technologies, VR training tools, clinical data platforms, or decision-support systems embedding traditional medical knowledge. The curriculum features computational modelling, multi-omic data analytics, and entrepreneurial deployment strategies — including regulatory pathways and clinical readiness for medical devices and software. Engineers graduate with a prototype/portfolio and the capability to lead cross-disciplinary innovation in medtech.

Who should join: Students who completed the Basic program and who are already familiar with biomedical concepts who want to specialize in AI-driven healthcare, wearable/medical device engineering, robotics for therapy, or startup-led health innovation..

Outcomes
Become industry-ready healthtech innovators.
Build deployable prototypes and product concepts.
Use computational and systems-medicine models in design.

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Academic & Clinical Disciplines Covered in I-PRISM

Civil engineers know ergonomics and human-centric design, but not body physiology. This module teaches how human organ systems function and how building design influences them (airflow, lighting, acoustics, space, etc.).
Learning Objective: Understand organ systems, biomechanics, physiology and spatial requirements of clinical activities.
Integration: Helps civil engineers design clinics that actively support healing — e.g., layouts improving mobility in rehab patients, infection-resistant ventilation, and light design aligned with circadian physiology.

Civil engineers know environmental chemistry and materials science; this expands into biomedical biochemistry and how materials/environment influence health.
Learning Objective: Learn biochemical impacts of air quality, water quality, materials and plants on human health; introduce therapeutic landscape concepts.
Integration: Engineers learn to integrate medicinal gardens, toxin-free building materials and hydrotherapy utilities into regenerative ecosystems inside clinics.

Engineers understand sanitation and HVAC but lack disease-specific knowledge. This module explains how diseases spread and how immunity is affected by built environments.
Learning Objective: Understand infection pathways, immune function, and how clinic infrastructure can reduce or worsen illness.
Integration: Enables engineering decisions that minimize hospital-acquired infections – layouts separating sterile and non-sterile zones, UV-sunlight corridors, negative-pressure isolation rooms.

Civil engineers know material safety but not pharmaceutical infrastructure. This module links herbal/modern pharmacy requirements with facility design.
Learning Objective: Learn environmental + infrastructure needs for drug/ herbal preparation, storage, and safety.
Integration: Helps design smart herbal pharmacies, in-clinic apothecary labs and medicinal gardens while ensuring fire safety, clean air, temperature control and GMP standards.

Engineers know construction biomaterials, not medical biomaterials. This module introduces facility standards for regenerative therapy technologies.
Learning Objective: Understand cleanroom standards, biomaterial sensitivity, sterile zones and equipment infrastructure for cell therapy, PRP, cryo/hyperbaric treatments.
Integration: Enables civil engineers to build regenerative therapy suites and adaptable clinic blocks capable of future upgrades to new technologies.

Engineers design comfortable spaces but lack psychology or healing-environment insights.
Learning Objective: Learn environmental psychology, sensory impacts of color, light, acoustics and spatial flow on mental health.
Integration: Leads to healing architecture — meditation zones, stress-reducing interiors, biophilic spaces, soundproof therapy rooms and circadian lighting systems.

Engineers understand IoT and networking, but not healthcare informatics.
Learning Objective: Learn space + electrical + privacy + security needs for telehealth rooms and digital monitoring suites.
Integration: Enables civil engineers to create smart clinics with telemedicine pods, IoT vitals rooms and health data-friendly architecture.

Engineers can analyze infrastructure data but not clinical service data.
Learning Objective: Learn healthcare data interpretation, patient flow modelling, resource optimization and health-infrastructure analytics.
Integration: Design evidence-optimized clinics — reduced queue bottlenecks, efficient layouts, and predictive facility planning based on usage patterns.

Engineers may know installation requirements but not clinical workflows.
Learning Objective: Understand clinical diagnostic processes, sensitivity of equipment and patient privacy factors.
Integration: Builds unified diagnostics suites that combine radiology, labs and traditional diagnostics in one smooth patient movement pathway.

Engineers know robotics/devices but not therapeutic physics.
Learning Objective: Learn biophysical treatment modalities (laser, PEMF, ultrasound, cryotherapy) and their infrastructure needs.
Integration: Enables design of rooms for therapy robots, sensory-deprivation pods, TENS beds and water-based therapy systems.

Civil engineers have project management experience but not clinical exposure.
Learning Objective: Observe real clinic workflow, storage constraints, emergency routing, and therapist–patient–equipment movement.
Integration: Improves facility design accuracy — anticipating bottlenecks and ensuring clinic buildings match real clinical needs.

Civil engineers know feasibility studies but not medical outcomes research.
Learning Objective: Learn to measure impact of facility design on patient health outcomes and cost-benefit.
Integration: Enables publication-grade research proving the health value of regenerative clinic infrastructure — influencing global hospital design standards.

Application Process

Stage – 1

Eligibility & Application

Applicants provide GATE score (preferred) or strong CGPA with portfolio of relevant tech projects, along with CV, SOP, and academic transcripts.

Stage – 2

Score Normalization

Academic Index is computed by standardizing graduation marks and entrance score (if available) to ensure fair merit evaluation.

Stage – 3

ISAT Examination

Engineering-specific ISAT section evaluates branch fundamentals (e.g., DSA, circuits, signals, mechanics) and ability to apply technology to healthcare.

stage – 4

Shortlisting

Shortlisting is based on CPIS ranking, balancing academic performance with analytical and technical aptitude.

stage – 5

Interview

Panel assesses innovation mindset, practical problem-solving, portfolio quality, and readiness to translate engineering into health-tech solutions.

stage – 6

Final Selection

Final Selection Score combines academic merit, ISAT percentile, and interview evaluation to determine admission offers.

stage -7

Enrollment & Bridging

Selected candidates complete bridging modules in human biology, anatomy, and physiology to prepare for healthcare-focused coursework.

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