Client Profile
Our client is an emerging biotechnology company at the intersection of synthetic biology and artificial intelligence. As a pioneer in the field, they focus on developing innovative solutions across multiple sectors, including drug discovery and development, using a high throughput antibody platform.
Organizational goal
Their mission centers on leveraging biomanufacturing to address global challenges, with particular emphasis on:
01
Creating more effective drugs with reduced side effects
- No-shows and late cancellations were common, leading to inefficiencies.
- The booking system struggled to align available time slots with patient preferences.
- Managing recurring appointments was cumbersome.
- Rescheduling appointments was often inefficient, adding complexity to patient care.
02
Developing sustainable platforms for synthetic biology
- Requests for specific doctors or times were not always accommodated
- The system for managing appointment changes and notifying patients was underperforming
The Challenge
The development of antibody therapies for cancer treatment traditionally faces several critical challenges:
01
Managing and analyzing vast amounts of scientific data
- No-shows and late cancellations were common, leading to inefficiencies.
- The booking system struggled to align available time slots with patient preferences.
- Managing recurring appointments was cumbersome.
- Rescheduling appointments was often inefficient, adding complexity to patient care.
02
Integrating information from disparate sources
- Requests for specific doctors or times were not always accommodated
- The system for managing appointment changes and notifying patients was underperforming
03
Making informed decisions based on complex clinical trial data
- The process of creating physician schedules was inefficient, often leading to poor coordination across departments and specialties.
04
Understanding gene expression patterns across multiple cancer types
- Patients faced geographical and time-related constraints, limiting their ability to access care.
- Specialist availability was unevenly distributed, with certain regions experiencing shortages.
The Solution:
TheraBluePrint™ from ThinkBio.Ai
To address these challenges, our client implemented TheraBluePrint™ from ThinkBio.Ai, a comprehensive target-based decision support system designed to streamline the development of innovative antibody therapies for cancer treatment.
01
Patient Portal
- A self-service system allowed patients to manage their appointments, including booking, rescheduling, and canceling.
- Notifications were customizable, enabling patients to opt out of reminders if necessary.
02
Appointment Booking System
- The system offered search options by specialty, doctor, or clinic, simplifying the process for patients.
- Automated reminders and confirmations were introduced, helping to reduce the number of no-shows.
03
Virtual Clinic Portal
- Patients could register through phone or email, and securely submit documents and images for medical review.
04
AI-Assisted Treatment Module for doctors
- This module provided diagnostic and treatment suggestions, drawing from integrated medical literature databases.
05
Virtual Clinic Portal
- Patients could have virtual consultations with doctors and schedule follow-up appointments directly afterward.
Key Modules and Features:
Clinical Trials Module
- Aggregates comprehensive trial information
- Searchable database including: Trial numbers and phases, Current status, Intervention types and Antibody specificity
Gene Search Module
- Enables targeted gene searches
- Provides detailed information on: Cancer intervention targets, Drug names and approval status, Combination trial information as well as failed trial data
Drug Search Module
- Comprehensive database of approved and investigational drugs
Gene Expression Module
- Coverage of all relevant cancer types
- Detailed expression analysis
- Normal gene expression comparisons
Conclusion
The deployment of the Patient Care Management System resulted in measurable gains in operational efficiency and patient care. This case demonstrates the effectiveness of integrated digital solutions in resolving complex healthcare management challenges, enhancing both patient satisfaction and organizational performance.