Advancement of Artificial Intelligence in Healthcare Industry

1. Advancement of Artificial Intelligence in Healthcare Industry Scientific progress is all about occasionally big and a number of small advancements. Artificial Intelligence (AI) has created new technology which can handle huge data sets and solve complex problems which was previously done by human intelligence. Artificial Intelligence in Healthcare Industry has helped to integrate data and develop new insights on public as well as individual health. Areas where AI is used in Healthcare: - Engagement - The patient’s interaction with the systems and the healthcare providers are improvised her. Diagnostics – Products and services which use AI algorithms helps in improving patient’s diagnosis. Digitization – AI helps operations to be seamless and cost effective. - - Scenarios where AI makes a significant impact on healthcare: - - AI provides interactive and personal healthcare. It enhances the efficiency of the clinics and hospitals to manage the data of the patients efficiently. Prioritizes hospital activities for the patients benefits. It can be used along with Big Data to predict financial, operational and clinical risks. It helps in harnessing the professional healthcare data to optimize the efficiency of the hospital. AI Robots helps in critical surgeries with greater flexibility and control. - - - - Here is a list of the ongoing and in-pipeline projects which Long80 is working on: Ongoing: - Suicide Prevention oSolution: AI helps to predict the suicidal tendency Analyze mental state Recognize emotions oBenefits: Saves lives Supports psychiatrists Long-80.com

2. Controls healthcare costs In-pipeline: - Zero Claim Denials oBenefits: Achieve high first-rate claims Receive payments timely Bring down mutual overhead Boost hospital RCM Detection of Autism in Children: oBenefits: Used by developmental Pediatricians and Child Neurologists Identifies the children at risk Prioritizes treatment Picks the mildest of anomalies Saves time Early Detection of Stroke: oBenefits: Used for initial screening Helps in taking decisions Reduces the cost of treatment Reduces mortality rate - - - Policy Decision Support: oBenefits: Calculates insurance premiums Prioritizes resources Focuses on wellness of patients Brings down the cost Better patient healthcare Future planned projects: - - - - - - Patient Risk Scorecard Patient Wellness Controlling Alcohol Abuse Reduction of medication errors Managing Opioid Addiction Pharmacy Support The above article has been sourced from Long80, who brought Digital Transformation in Healthcare and Healthcare Transformation Service in USA. Long-80.com