Momentum Health Solutions- Smart Diagnostics: AI and Machine Learning in Early Disease Detection- A funder's perspective
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12 slides
Sep 03, 2024
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About This Presentation
Margot Brews, Head Health Risk Management Strategy at Momentum Health Solutions on Smart Diagnostics: AI and Machine Learning in Early Disease Detection- A funder's perspective at Healthcare Innovation Summit Africa 2024.
Size: 4.98 MB
Language: en
Added: Sep 03, 2024
Slides: 12 pages
Slide Content
Smart Diagnostics: AI and Machine Learning in Early Disease Detection – a funder’s perspective Healthcare Innovation Summit Africa 2024
Our approach to health Our predictive analytic goals Our machine learning use cases Our data upgrade journey Our results Our sources of data Our learnings
Health outcome data Our approach to health Incentivised wellness Integrated care More health for more South Africans for less
Our sources of data Historic patient data Wearable data Purchase data Geographic data Claims data EHR data Health screening data, engagement data, pathology results, case notes, codified claims
Our predictive analytics goals IDENTIFICATION INTERVENTION REPORTING Better efficiency around data sourcing Enhanced data processing capabilities Faster rate of flow of data ( real-time use cases) Improve data science SDLC processes Increased computational capacity Advanced automation capabilities Expand deployment capabilities Upgraded tracking and monitoring Journey from trawling rules to machine learning algorithms to predictive analytics.
Our machine learning use cases Image recognition Generative AI chatbots Correspondence Fraud, waste and abuse Health risk management Operational effectiveness Health risk profiling, early disease detection, non-compliance and hospitalisation risk.
Our data upgrade journey SEP 2020 SEP 2021 JUN 2023 SEP 2023 APR 2022 DEC 2022 Conceptualisation & Business Case Platform deployed Redesigned and additional data products released First combined data product released 70% of existing data ingested 100% of existing data ingested Data products used for external clients released Prediction pipelines finalised R&D of ML prediction pipeline HRM admission engine implemented New ML environment and deployment streamlined APR 2023 AWS Lab, Tooling & Data Lake set-up
Our results Data visualisation through live dashboards with emphasis on outcomes tracking. ICHOM aligned outcomes tracking Population health risk profiling
The maturity and level of clinical coding impacts your ability to gain insights from the data. Data accuracy and data richness are vital in predicting health events and health outcomes. Increasing throughput resulted in data access, data wrangling, and production challenges. The journey to value-based care begins with capturing and evaluating health outcomes data. Feeding insights and interventions back into our system of record and operational processes. Our results
Our learnings Identify business champions, empower your team, and take the business on the journey. Adopt a design theory approach, be outcomes focused, and be adaptable and flexible. Open market AI screening solution prices are frequently linked to value and over-priced. There will invariably be a trade off between: Time, Quality and Cost. Build a good base and select experienced, accredited partners to walk the journey with you.