UK start-up company based in London is seeking a software developer with relevant technical skills and experience to develop a professional social media and communication cost centre management platform.
The National Health Service (NHS) spends £2.4 billion per annum on temporary staff to address shortages yet hospitals are faced with staffing shortages.
Health care professionals in the NHS often opt to work either through a third party agency or private hospitals because of poor retention policies
With numerous digital solutions deployed to resolve understaffing in the NHS, workforce management has remained a challenge costing millions on staffing alone and leading to a poor patient experience.
The challenge has always been systems not being user friendly and too complex to use for personnel whose priority is to deliver clinical services and patient care.
The business is seeking to develop a platform to address workforce challenges within the industry by using Artificial Intelligence (AI) and Machine learning (ML) that will give the employer the ability to view and manage the workforce both contracted and those working through third party agencies at a single touch.
Using AI, it will connect and track professionals contracted by the NHS.andl offer a referral service, overhead budget management, GPS tracking of available staff and sharing of best practices on cases securely via the platform. This will highlight the “hard to recruit skills” and areas of focus tailored to specific hospitals etc.
The solution will seek to harmonise all systems and processes used to manage workforce in the healthcare industry and integrate it to their social media platforms securely to provide a lean robust platform.
Artificial Intelligence will form the backbone of this platform where data will drive technology that will disrupt workforce SaaS (Software as a Service) and centralise the healthcare workforce. Starting with the U.K. as pilot, it will then look to scale across Europe.
The business seeks services agreements with software engineers, AI and ML, academic institutions (data scientists etc.) and tech enthusiasts willing to work with a start-up based in UK to build a prototype to assess feasibility and to seek funding for full implementation.