Innovating for Health The Intelligent EHR
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- Lucy Parker
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1 Patients and families Patients in mind Patients in your heart Innovating for Health The Intelligent EHR
2 Kunnskapssenteret Kvalitetsindikatorer baset pa data fra medisinske kvalitetsregistre will be the development of a web based information technology for interactive data entry from electronic records however, this technology will not be available in the near future
3 The health task for everyone
4 Policy drivers Health service reform Wealth leads to health Health services not affordable
5 The recipe for health Keeping people well Exercise Eat well Drink moderately Don t smoke
6 .and drive employment policies
7 Information revolution transforms culture
8 Co-create health using technology and data Personal health and fitness Care record Interoperability Personally collected data EHRs
9 Framework for innovation Know Engage Manage Identify and predict what will happen within your population Your patients and health staff to take action Outcomes to improve health and care
10 3 routes to changing culture Natural language processing and AI Use of social media for health Patient access to enterprise wide health IT systems
11 Identifying and predicting Knowledge and skill Long term conditions Use your registry data Visualise the data The cutting edge of computation
12 Turning dialogue into health
13 Decision support and AI
14 Data driven clinical management
15 Engage everyone Create virtual networks Get people together for purpose Simplify the data Ask patients Ask people Ask families Do not interfere with knowledge creation
16 People expect..
17 Social media
18 Medical anxiety
19 Social media for learning
20 Self service i-clinical care
21 Manage outcomes using EHR data Single system Connectedness Big data
22 Bringing it all together for people and staff
23 Real time clinical performance management
24 Real time data collection
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29 System map Cognitive computation Patient access and social media Intelligent EHR Big data and analytics
30 Towards population health delivery Common data model and governance Query Service and Research Virtual data warehouse Aggregated result Distributed research network Query Site specific
31 Challenges Semantic interoperability Common data model Privacy/confidentiality System development
32 Issues Operating at scale Outcome measurements Analytics Connecting finance
33 Population Health development in East London National web based data on performance is available General practitioner has most influence on choice EHR data exchange is being implemented 50%+ patients are referred by digital channel 100% risk stratification of chronic disease in general practice An EHR exchange is developing
34 Connecting to people Make it simple and structure your data
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