Machine learning (ML) and Artificial Intelligence (AI) are making a big splash in the medical technology field today in general and LTPAC market in particular. The amount of data in the LTPAC market can help hospitals and nursing homes operate more efficiently; according to a recent report, the market is expected to exceed $10 billion by 2024.
Through the use of pattern recognition technologies, facilities will better serve patients while increasing their own bottom line. In addition, collecting data about clinical decisions and their ultimate outcomes will help current doctors and nurses improve their own care for clients. Indeed, the possibilities are tremendous: artificial-Intelligence programmed robots can help seniors with dementia, Alzheimer’s and other diseases, all while saving LTPAC facilities labor costs.
Given the vast amounts of interrelated data constantly being generated by LTPAC facilities, they are in a great place to capitalize on the coming Machine Learning shift in medical technologies. All of this potential, however, relies on data being collected and stored in an organized and “easy to read” fashion. It is therefore absolutely necessary for them to have a system that collects any conceivable data element and stores it in a discrete manner, making it readily available for Machine Learning systems to work with.
This methodology of collecting and storing data requires a data-driven underlying software architecture; as such, a software solution that is designed to use input fields, rather than simple text fields, is an essential requirement when choosing a new LTPAC management software. There is tremendous potential to provide better services more efficiently using Machine Learning technology; make sure your LTPAC software solutions are up to the task.