Difference between revisions of "FemTech"
(Created page with "The IVF market, a level 1 roadmap, represents a segment of the broader Assisted Reproductive Technology market. Level 2 roadmaps focus on specific IVF solutions (e.g., Communication Platform), level 3 roadmaps target the subsystems within these solutions (e.g., data integration), and level 4 roadmaps delve into individual components (e.g., patients, clinics). == Technology Roadmap Overview == Artificial intelligence (AI) is playing an increasingly transformative role in...") |
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Revision as of 19:32, 17 October 2024
The FemTech market
Technology Roadmap Overview
Artificial intelligence (AI) is playing an increasingly transformative role in IVF and fertility treatments, offering patients a more personalized, streamlined, and supportive journey to parenthood. Traditionally, the fertility treatment process can be overwhelming, with complex schedules, numerous tests, and emotionally draining decisions. IVF is poised to play an increasingly important role in the future of live births as the aging population continues to postpone childbirth.
Roadmap Model using OPM
Below, we provide an object-process diagram (OPD) of the IVF Digital Platform roadmap. This diagram captures the main object of the roadmap, its decomposition into subsystems, its characterization by Figures of Merit (FOMs), as well as the main processes and actors involved.
Figures of Merit
This table outlines the key metrics for evaluating the performance and effectiveness of IVF Digital Platforms.
| Figure of Merit (FOM) | Unit | Description |
|---|---|---|
| Net Promoter Score | 0-10 scale | Measure the average NPS from patients and healthcare providers using the fertility AI platform. |
| Authentication Success Rate | % | Percentage of successful logins without errors. |
| Appointment Scheduling | Minutes | Time saved by patients when booking appointments. |
| Patient Follow Up | Minutes | Time saved due to automated reminders and check-ins. |
| Time Writing Clinical Notes | Minutes | Average reductio in documentation time. |
| Data Integration | Hours | Reduction in time to ingest third party diagnostic/lab data. |
| System Downtime | Seconds | Time the system is down, impacting patient access. |
| A/B Testing of Success Rate | % | Success rate improvement over a 3-year period after implementation. |