Difference between revisions of "FemTech"

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== DSM Allocation ==
== DSM Allocation ==


[[File:New DSM Pic.png]]
[[File:DSM Final.png]]


== OPM Model ==
== OPM Model ==

Revision as of 02:25, 5 November 2024

The FemTech (FT) market is a Level 1 roadmap, represents a rapidly expanding segment of the broader digital health market focused on Women's Health.Level 2 roadmaps focus on specific FemTech solutions, such as fertility tracking apps (Bable), menstrual cycle management platforms, pregnancy care, and menopause support technologies. Level 3 roadmaps delve into the subsystems within these solutions, including personalized health tracking algorithms, telehealth integration, and wearable device synchronization. Level 4 roadmaps focus on individual components such as data security measures, hormone monitoring sensors, and AI-driven health insights.

Technology Roadmap Overview

FemTech refers to a category of technology designed to address health issues for woman ranging from reproductive health and pregnancy to general wellness and chronic conditions. These technologies connect females with healthcare providers through digital platforms that track health data, offer personalized recommendations, and facilitate access to medical care. Starting with basic fertility and period tracking tools, FemTech has evolved into a sophisticated ecosystem, offering comprehensive solutions for female health at every life stage.

Today, FemTech solutions are focused on empowering females through data-driven insights, providing personalized healthcare experiences that are accessible inclusive, and responsive to individual needs. By integrating advanced technologies such as Artificial Intelligence, telemedicine, and wearable health devices, FemTech platforms are revolutionizing the way females manage their health.

DSM Allocation

DSM Final.png

OPM Model

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.

OPM.png


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.

Alignment with Company Strategic Drivers

Our software platform enhances patient support through fertility treatments by focusing on three key strategic drivers:

# Strategic Driver Alignment and Targets
1 To create value for users by increasing productivity - Net Promoter Score (NPS): Target an average NPS of 8 or higher from patients and healthcare providers, indicating strong satisfaction and perceived value of productivity enhancements.

- Authentication Success Rate: Achieve a 99% authentication success rate to ensure efficient, reliable user access, which supports productivity.

- Appointment Scheduling: Reduce appointment scheduling time by 50%, streamlining productivity and easing patient experiences.

- Patient Follow-Up: Target a 30% reduction in time spent on patient follow-ups through automated reminders and check-ins, helping users focus on essential tasks.

2 To ensure the quality and accuracy of the generated outputs that users can trust - A/B Testing Success Rate: Improve success rate by 10% over 3 years through continuous A/B testing, refining algorithm accuracy and trustworthiness.

- Data Integration: Target 2 hours per week saved in data ingestion, making third-party lab and diagnostic data integration faster and more reliable.

- System Downtime: Limit system downtime to 30 seconds per month, maintaining continuous, dependable access that supports reliability and trust.

3 To deliver a seamless user experience with robust compatibility for business clients, ensuring smooth integration with other systems. - Appointment Scheduling: Achieve 95% compatibility with third-party scheduling systems, enhancing integration and ease of use.

- Data Integration: Reduce time spent on data integration tasks by 50% through improved interoperability with other systems.

- System Downtime: Target 99.9% system uptime, allowing a stable experience for users interacting across platforms.

Positioning of Company vs. Competition

Technical Model

R&D Projects

Financial Model

Technology Strategy Statement

Key Patents and Publications