Malls 2 Labs

Malls as Labs: Revolutionizing Centralized Medical Diagnostics with AI


The sprawling architecture of malls, once the bustling hubs of retail activity, has found a new lease on life in the age of Artificial Intelligence (AI). As AI takes an increasingly active role in medical diagnostics, these expansive spaces offer a compelling solution for the future of centralized healthcare facilities.

The Need for Centralization

Traditional medical facilities are often fragmented, housing diagnostic machines and lab equipment in multiple locations. The centralization of these services within a single, expansive facility provides patients with a consistent level of care. Standardization is crucial, especially as AI algorithms thrive on consistent data for accurate diagnostics.

Adaptability of Malls

Malls are perfectly suited to accommodate the spatial and logistical requirements of centralized medical labs. Their large, open floor plans are ideal for housing a multitude of diagnostic machines, and their existing infrastructures, such as ample parking and multiple entrances, are easily adapted to suit the needs of patients.

Economies of Scale

The centralization of medical services allows these facilities to benefit from economies of scale. The uniformity of diagnostic equipment not only simplifies maintenance but also improves the consistency and reliability of data, which is critical for the accuracy of AI-driven diagnostics.

Medical Devices at Each Facility

Centralizing diagnostics necessitates a comprehensive array of medical devices. Each facility would standardize on the following medical devices, providing comprehensive patient care:

Imaging Equipment

  1. MRI Machines
  2. CT Scanners
  3. X-ray Machines
  4. Ultrasound Machines
  5. Mammography Units
  6. PET Scanners

Cardiac and Pulmonary Devices

  1. Electrocardiogram (ECG) Machines
  2. Pulmonary Function Testing Machines
  3. Treadmill Stress Test Machines
  4. Automated External Defibrillators (AEDs)
  5. Ventilators
  6. Holter Monitors

Laboratory Analyzers

  1. Automated Blood Analyzers
  2. Hematology Analyzers
  3. Blood Gas Analyzers
  4. Clinical Chemistry Analyzers
  5. Flow Cytometers

Neurological Equipment

  1. Electroencephalogram (EEG) Machines
  2. Magnetoencephalography (MEG) Systems

Other Diagnostic Equipment

  1. Spirometers
  2. Dialysis Machines
  3. Ophthalmic Devices
  4. Bone Densitometers
  5. Audiometers
  6. Biopsy Equipment
  7. Infusion Pumps
  8. Temperature Monitoring Devices
  9. Blood Pressure Monitors
  10. Body Composition Analyzers
  11. Pacemaker Testing Units
  12. Phototherapy Lights
  13. Cryotherapy Units
  14. Laser Therapy Systems
  15. Colonoscopy Equipment
  16. Arthroscopy Units
  17. Laparoscopy Towers
  18. Phacoemulsification Systems
  19. Electrosurgical Units
  20. Autoclaves/Sterilizers
  21. Oxygen Concentrators
  22. Automated Insulin Pumps
  23. Automated Medication Dispensing Systems
  24. Surgical Navigation Systems
  25. Nebulizers
  26. Orthopedic Equipment
  27. Urodynamic Systems
  28. Gamma Cameras
  29. Otoscopes
  30. Sphygmomanometers
  31. Fetal Monitors
  32. Gait Analysis Systems
  33. Tonometers
  34. Drug and Alcohol Testing Equipment
  35. Immunofluorescence Microscopes
  36. Platelet Aggregators
  37. Automated Suturing Devices

A Day in the Life of Frank and Lulu: Navigating the Future of Healthcare

Frank begins his morning by checking his health metrics on his mobile device, facilitated by his AI assistant, Lulu. Today, Lulu flags an alert: his blood sugar has been low for the past three days. Lulu contacts the AI assistant of Frank’s family doctor and schedules a series of tests at the Regional Lab Facility.

Upon arrival, Frank is greeted by well-mannered staff who guide him through the seamless testing process. Within hours, Lulu informs him that his doctor’s AI has analyzed the test results and recommends medication adjustments.


Frank’s experience offers a glimpse into the future of healthcare. Malls-turned-diagnostic-labs provide a solution that’s not just technically advanced but also deeply considerate of human needs.


As AI continues to disrupt medical diagnostics, centralized healthcare facilities like these repurposed malls offer a compelling solution for efficient, accessible, and standardized medical care. This unique model has the potential to redefine healthcare delivery, making it more accessible and efficient for communities.

Author: John Rector

John Rector, a former IBM executive and co-founder of e2open, has an impressive portfolio of leadership roles across a range of companies and industries. In the realm of digital marketing, he has successfully led Social Media Target, ensuring its competitiveness in the ever-evolving digital landscape. He has also served operationally at Rainbow Packaging, focusing on the delivery of farm-fresh produce. John's creativity and vision for web technologies shine through at Bodaro and Palm ❤️, the latter being a graphic design studio founded in June 2023. He has also ventured into the education sector with Nextyrn, a tutoring startup that leverages AI for personalized learning experiences. His entrepreneurial spirit has also seen the founding of Potyn, an innovative project that uses AI to create bespoke art. The newest additions to his extensive portfolio include Nozeus, Infinia, Blacc Ink, and Maibly, further expanding his influence across various industries.

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