Millions of IVF babies have been born through IVF, but a significant number of cycles still fail our patients. There is a lot of room for improvement in infertility healthcare, among them are, to get patients pregnant faster, reduce treatment “dropout”, and reduce embryo “wastage” and more. Artificial intelligence (AI) has the potential to enhance our diagnostic and prognostic capabilities, minimize variability and error, and maximize precision and speed of IVF treatment.
AI tools- despite being wildly popular in research laboratories- have yet to achieve robustness for safe clinical implementation. The development of AI systems that are widely applicable across IVF clinics and protocols, AND geographies and populations has been challenged by data volume, quality, and diversity. Achieving “BIG” data for IVF should be trivial, as more than 2.7 million assisted reproduction cycles are performed each year.
However, there are significant challenges to implementing any AI system in a meaningful way into a clinical IVF laboratory, yet it is almost certain that AI is the future of reproductive medicine. Wherever electronic health records generally, and AI systems specifically have been proposed, there are unresolved controversies about privacy, effects on doctor/patient relationships and trust, whether individuals can opt out, who controls or can have access to data and when consent is required, how to protect data from unauthorized use or accidental loss, and use of “de-identified” data for ethically approved research.
Implementation of an AI at the actual point of care in a routine, easy, and automated fashion is also currently impossible for the majority of IVF labs that still use paper charts, and don’t capture and store even a single digital image of their patient’s embryos, much less the videos that are needed for true big data. Additionally, data management solutions to augment patient demographics, clinical and lab key performance indicators (KPI) and other relevant data streams (ultrasound images and PGT results, competency assessments) into a single dashboard, are lacking.
ART Compass is an IVF software platform LIMS (Laboratory information management system) that captures all IVF Cycle information in an efficient, user-friendly format, and 100% HIPAA compliant format. Patients access their own data (such as embryo cryo storage inventory, preimplantation genetic testing results through a mobile app portal- no generating PDFs to non-securely email your patients! IVF practices own the data – at ART Compass we NEVER charge to give you back your own statistics and queries. Ultimately, all of these benefits are ART Compass is a sophisticated new way to manage IVF Cycle data and implement AI systems at the point of care, where they can benefit patients the most!
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