0925 oliver o connor 28 may 15 national healthcare conferenceinvestnethealthcare
This document discusses investing intelligently in health for economic value and outcomes in Ireland post-austerity. It notes that while the economy is recovering, health spending was cut significantly. If health spending is expected to rise to 7% of GDP by 2020, there is a funding gap. The document argues for using clear economic logic and evidence-based assessments of clinical and quality of life outcomes to prioritize high-value health investments and avoid wasting resources on low-value or ineffective interventions. Areas like mental health, problem alcohol use, obesity, and chronic diseases represent significant economic waste due to lost productivity and healthcare costs. Intelligent health investment can avoid waste, deliver value, and support economic growth.
130 European data startups were analyzed that focused on collecting and interpreting data to create actionable insights. The top sectors for funded startups were advertising technology, e-commerce, health, customer insights, and sales/marketing. The United Kingdom, France, and Germany led investment in these startups, with the UK attracting the most funding. On average, startups received around €4-6 million in funding per round. The analysis showed that data startups play a key role in collecting data, interpreting it through analysis, and creating actionable outputs that can help address challenges in areas like transportation, health, crime, energy, and agriculture.
This document provides a summary of fundraising rounds for AI and data startups in Europe in 2016. Some key findings include:
- Over 270 startups raised $774 million in 2016, up from $583 million in 2015.
- The average funding round was $3.7 million.
- France and the UK led fundraising totals, with 108 startups in the UK raising $188 million and 37 startups in France raising $118 million.
- Early stage investments boomed, with $215 million invested in 170 early stage startups.
- In 2016, focus shifted from marketing applications to technologies using natural language processing, speech recognition and other AI techniques, as well as applications in healthcare, agriculture and other industries
0925 oliver o connor 28 may 15 national healthcare conferenceinvestnethealthcare
This document discusses investing intelligently in health for economic value and outcomes in Ireland post-austerity. It notes that while the economy is recovering, health spending was cut significantly. If health spending is expected to rise to 7% of GDP by 2020, there is a funding gap. The document argues for using clear economic logic and evidence-based assessments of clinical and quality of life outcomes to prioritize high-value health investments and avoid wasting resources on low-value or ineffective interventions. Areas like mental health, problem alcohol use, obesity, and chronic diseases represent significant economic waste due to lost productivity and healthcare costs. Intelligent health investment can avoid waste, deliver value, and support economic growth.
130 European data startups were analyzed that focused on collecting and interpreting data to create actionable insights. The top sectors for funded startups were advertising technology, e-commerce, health, customer insights, and sales/marketing. The United Kingdom, France, and Germany led investment in these startups, with the UK attracting the most funding. On average, startups received around €4-6 million in funding per round. The analysis showed that data startups play a key role in collecting data, interpreting it through analysis, and creating actionable outputs that can help address challenges in areas like transportation, health, crime, energy, and agriculture.
This document provides a summary of fundraising rounds for AI and data startups in Europe in 2016. Some key findings include:
- Over 270 startups raised $774 million in 2016, up from $583 million in 2015.
- The average funding round was $3.7 million.
- France and the UK led fundraising totals, with 108 startups in the UK raising $188 million and 37 startups in France raising $118 million.
- Early stage investments boomed, with $215 million invested in 170 early stage startups.
- In 2016, focus shifted from marketing applications to technologies using natural language processing, speech recognition and other AI techniques, as well as applications in healthcare, agriculture and other industries