HealthCRM.ai
About HealthCRM.AI
How’s CRM involving to facilitate better patient management, enhancing patient engagement, communication and personalized care? We address these issues by demonstrating from hospitals to private clinics how health care institutions employ CRM to support better patient care and workflow efficiency.
AI in Healthcare
The healthcare industry as a whole is transforming as a result of AI implementation, adapting the principles of automation as well as achieving precision medicine across a variety of medical disciplines. We unravel the non-intuitive systems and novel technologies deploying AI, that are enhancing clinical diagnosis as well as clinical decision making, imaging, drug discovery and much more.
Predictive Analytics in Healthcare
There are key elements in healthcare decision making that should look at data. Predictive analytics seeks to utilize previous trends in data to anticipate possible patient outcomes, assess the risk of future health issues, and recommend suitable preventive actions. In this blog we take a look at the developments in predictive modelling, data analytics platforms, and the ways they are used in the fight against chronic diseases as well as in the effective management of the hospital’s resources.
Machine Learning in Healthcare
Machine Learning is transforming the landscapes of personalized medicine and medical research. Be it finding patterns in huge troves of data or forecasting an epidemic, machine learning algorithms are already aiding the healthcare industry in making large and data oriented decisions. We explore the various use cases of machine learning in genomics, radiology, pathology, and patient monitoring and their contribution to enhancing the clinical outcomes and the processes in the healthcare provision.
