Augmented intelligent clinical support systems to aid decision-making for pregnancy outcomes after In-Vitro Fertilisation or Intracytoplasmic sperm injection

One of the biggest challenges of managing a fertility clinic is handling large amounts of data. Managing In-Vitro Fertilisation (IVF) treatments by using augmented intelligent systems makes it easy to enter and organize data about the patients, their treatments, the tests performed, equipment used, manage appointments & schedules as well as audit the  IVF results for quality assurance purposes. There is a felt need for a uniform digitalization system to allow to consolidation of information from various sources present in an IVF clinic such as labs, operating rooms, ultrasound rooms, consulting rooms, and registration desks which are both accessible and highly secure.

.In the last decade, the demand for Assisted Reproductive Technologies(ART) has significantly increased with India contributing to one of the highest growths in the number of ART centres and number of cycles per year (1). Despite having planned a national ART registry after the latest ART Act 2021, there is a lack of uniform data reporting system across all centres in India. There is no clinical prediction model available from India to predict success rates after IVF. Considering several individual patient variables and characteristics of treatment received in the past that may affect IVF outcomes, it is difficult and inappropriate to do generalised counselling regarding success rates after a complete IVF cycle. Thus, it becomes critical to individualise the counselling of each couple which further needs to be revised after one or more cycles for improved counselling and decision making.

Therefore, this study proposes to develop an augmented intelligent system suited to meet patient daily requirements and keep patient data organised to deliver the best quality care as well as create a unform clinical registry.