Hadoop in Healthcare Systems
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Hadoop in Healthcare Systems
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Hadoop in Healthcare Systems
- 1. Hadoop in Healthcare Services Ranadip Chatterjee
- 2. About me
- 4. Challenges in Low penetration regions
- 5. How can big data help – Remote collection of medical data – Reduce rural-urban divide – Single scalable solution can provide a low cost infrastructure for entire country or region
- 6. Rising old population Greater number of LTC patients Severe pressure on public finances Challenges in High penetration regions
- 7. How can big data help – Encourage self-awareness and self-engagement in patients – Reduce pressure of primary care providers – Reduce expensive unplanned hospitalization – reduce pressure on taxpayers
- 8. Case – Chronic patient self management • In Association with: – Surrey and Border Partnership Trust – Surrey University & others • http://www.sabp.nhs.uk/news/testbed • Technology Integrated Health Management (TIHM)
- 9. Case – Chronic patient self management
- 10. Scalable Fault tolerant Open Source Robust Interoperable Secure Case – Chronic patient self management
- 11. Case – Chronic patient self management • Feeling empowered • Lower strain on primary care centers • Lower strain on emergency care centers
- 12. Let’s make a difference
Editor's Notes
- Genomics Clinical Research & Post Marketing trials Epidemic / Endemic predictions, other analytics Healthcare delivery?
- Poor penetration countries Low density of health workers and doctors in population Large rural-urban divide Underdeveloped transport infrastructure Result High number of preventable premature deaths (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730274/; A study on gaps in rural and urban healthcare in India published by the National Institute of Health in US)
- Telehealth – primary care, tertiary - remote medical boards Remote health monitoring – LTC sufferers can be better served Decouple to an extent availability of services to location of medical professionals Keep costs with budget and service levels manageable Remote collection of medical data Doctors can access the data from anywhere Reduce rural-urban divide Evenly utilize excess capacity from high penetration locations Single scalable solution can provide a low cost infrastructure for entire country or region
- Poor penetration countries Low density of health workers and doctors in population Large rural-urban divide Underdeveloped transport infrastructure Result High number of preventable premature deaths
- Telehealth – repeat prescription checks, - discussion of medical reports, - simple condition diagnostic Remote patient monitoring – Help LTC patients self manage, - Reduce need to visit GPs frequently - Reduce pressure on primary care services - Detect acute deterioration earlier and prevent emergency care Early Detection of onset of seasonal ailments – flu, chicken pox, etc - help is better distribution and stocking of medication - inventory management of drugs required to treat such conditions Empower LTC patients and carers take care of themselves Take own measurements System provides helpful prompts, alerts and knowledge Help prevent / delay / better manage “lifestyle” illnesses
- Healtrix – Digital Healthcare Solutions Not Remote patient monitoring, not telehealth, not big data or IoT tech company Create end to end solution for specific conditions using a combination of all of the above Use mobile heathcare app, integrate with medical and wellness devices Use Bigdata and IoT technologies to create scalable low cost robust fault resistant solutions Can scale from 10s to millions using the same tech stack NHS: Working on an innovative Dimentia care @ home concept with NHS, Surrey University and 10 other innovative companies
- Diabetes and hypertension care Not a Remote patient monitoring or telehealth company. We provide end-to-end service features making use of remote monitoring, telehealth, IoT, social media and mobile technologies Our current and first product is Diabetes and Hypertension self management Features Patients can take their own readings Smart alerts, reminders, charts Integrated social groups of similar patients Can be integrated to GP and Hospital systems that enables Doctors setting and changing measurement frequency and medications Auto appointment updates and alerts Carer alerts 2 way message based communication Architecture
- Diabetes and hypertension care Not a Remote patient monitoring or telehealth company. We provide end-to-end service features making use of remote monitoring, telehealth, IoT, social media and mobile technologies Our current and first product is Diabetes and Hypertension self management Features Patients can take their own readings Smart alerts, reminders, charts Integrated social groups of similar patients Can be integrated to GP and Hospital systems that enables Doctors setting and changing measurement frequency and medications Auto appointment updates and alerts Carer alerts 2 way message based communication Architecture
- Feeling empowered better self awareness Engage actively in own care Motivated to maintain healthy habits Lower strain on primary care centers Avoid unnecessary appointments for well-managed patients Improve general wellbeing of cohort Lower strain on emergency care centers Reduce acute-on-chronic emergencies by picking up signal early
- Healthcare services have little penetration into bigdata technologies Innovative applications have a lot of potential Not just commercial benefits but immense scope of social impact