The GIS Lens Sanjay Gangal
Sanjay Gangal is the President of IBSystems, the parent company of AECCafe.com, MCADCafe, EDACafe.Com, GISCafe.Com, and ShareCG.Com. GISCafe Industry Predictions for 2024 –HSR.healthJanuary 30th, 2024 by Sanjay Gangal
By Ajay K. Gupta, Founder & CEO, HSR.healthThere are three broad movements HSR.health predicts will come to the forefront of healthcare in 2024: the spread of generative AI, AI-based research and data analyses, and the increased use of GeoHealth for health equity. 1. The Continued Adoption of Generative AI in HealthcareGenerative AI solutions, powered by Large Language Models (LLMs), like ChatGPT, will continue to grow in popularity and penetrate every section of healthcare. We foresee adoption and use in: a. Telehealth and physician-patient interface — As the remote work revolution continues in our country, so will healthcare also adopt many of its dictums with telehealth options becoming more and more popular with patients with limited mobility and/or living in healthcare deserts. — Generative AI with its conversational interface will increasingly be used for patient education, walking patients through chat-like interactions on how to take their drugs, how to manage their illnesses, and even acting as triage to guide them on next steps of care. b. Health education for the general public — Generative AI will also be used broadly for the general public seeking information on health issues. Instead of lengthy and often confusing written guides to things like vaccination and lead-proof homes, health departments will deploy LLM-powered generative AI solutions to “speak” to patients about their particular risk, through online, mobile, kiosks, or other channels
2. The Continued Spread of AI-Powered Medical ResearchArtificial Intelligence, or AI, with its prodigious power to sift through massive amounts of data, beyond the capability of any human researcher, will continue to see increased use in such areas as: a. Finding new molecular candidates and candidate drugs by simulating hundreds of thousands of molecular shapes and interactions faster than human researchers can to discover novel compounds with lifesaving potential, new therapeutic uses for existing medications, and harmful interactions that will make Phase 2 and 3 drug trials faster and safer. b. Applying pattern recognition to socio-economic data in order to elucidate patterns that escape human eyes, allowing for the discovery of new (and probably surprising) interactions between the environment and health that can assist with designing strategic interventions to better health outcomes. c. Mining through billions of points of personal patient data to find patterns and interactions that may have escaped human clinicians will allow for both safer and more efficient outpatient and inpatient care but also improve diagnosis and allow for personalized medicine. 3. Increasing Use of GeoHealth as an Everyday Tool for Health EquityAs we uncover more and more how the environment and socio-economic factors affect human health, we will see the increasing adoption of GeoHealth as an everyday tool for: a. Generating better emergency mitigation plans. Leveraging GeoHealth and AI models to analyze thousands of variables at once, which is simply impossible for humans alone, will allow for the creation of more effective emergency planning – in what will seem like faster than real-time. b. Improving health policy by uncovering details of how social, economic, and environmental factors affect health outcomes, we will be able to create focused and exacting population-level interventions to mitigate suffering and death and help achieve true health equity – ensuring we can all live our best lives. About Author: Over a 20-year career in cybersecurity and information technology, Ajay has seen companies create true competitive advantage from successful management of security and technology initiatives. At the same time, healthcare is burdened with outdated technology infrastructure and inefficiencies – which are often measured in human lives. Ajay decided to take his understanding of technology and implementation to disrupt and innovate healthcare. Category: Industry Predictions |