A Tale of 2 T’s: When Analytics and Artificial Intelligence Go Bad

Editor’s Note: We’re excited to welcome Prashant to the Healthcare Scene family. He brings tremendous insights into the ever evolving field of healthcare analytics. We feel lucky to have him sharing his deep experience and knowledge with us. We hope you’ll enjoy his first contribution below. Analytics & Artificial Intelligence (AI) are generating buzz and making inroads into healthcare informatics. Today’s healthcare organization is dealing with increasing digitization – variety, velocities, and volumes are increasing in complexity and users want more data and information via analytics. In addition to new frontiers that are opening up in structured and unstructured data analytics, our industry and its people (patients included) are recognizing opportunities for predictive/prescriptive analytics, artificial intelligence, and machine learning in healthcare – within and outside a facility’s four walls. Trends that influence these new opportunities include: Increasing use of smart phones and wellness trackers as observational data sources, for medical adherence, and as behavior modification aids Expanding Internet of Healthcare Things (IoHT) that includes bedside monitors, home monitors, implants, etc creating data in real time – including noise (or, data that are not relevant to expected usage) Social network participation Organizational readiness Technology maturity The potential for big data in healthcare – especially given the trends...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: Digital Health EMR Healthcare Analytics Healthcare CIO Healthcare Leadership Personalized Medicine Population Health Management Precision Medicine Advanced Analytics Artificial Intelligence Big Data Source Type: blogs