enabling community and patient centred care, pop up uni, 11am, 3 september 2015
TRANSCRIPT
Harnessing modern communications and data sharing channels and exploring the potential of predictive analytics Laurence McNamara Dr. Ian Wiles Claire Medd RGN Oracle GPC Intel
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Health challenges & the potential of data
Management cost of chronic diseases is out of control
Increase in real-world data, both structured and unstructured
Aggregation and analysis of big data
Shift to value-based medicine from volume-based medicine
Patient stratification to identify population subsets most likely to respond to a therapy
Cloud technologies are enhancing R&D collaboration
70% 61% 54%
Will you use secondary health data within the next 2 years?
Provider Pharma Payer
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Medical image archives are increasing by
20-40% annually.3
X-RAY 30MB
Mammograms
120MB
3D CT Scan 1GB
425K Telehealth.2
Health care analytics:
80% unstructured data :images, video and email.4
3D MRI 150MB
PACS
Opportunity for personal empowerment
Sources:1. http://www.netapp.com/us/media/wp-7169.pdf; 2. BCC Research Global Markets for Telemedicine Technologies (HLC014E). March 2012 3. http://datascienceseries.com/assets/blog/The_Age_of_Data-Driven_Medic ine.pdf (page 9); 4. http://www.zdnet.com/news/unstructured-data-challenge-or-asset/6356681
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It is estimated that the average hospital generates
Hospital, pharmacy and clinic records
665TB of data annually1
Targeted Medication
Patient self help
Real time Diagnosis
PREDICTIVE ANALYTICS
Operational analytics
Clinical Analytics
Scans Images
Sensor data
Clinical Data
Home monitoring
Ingestible Devices
Wearable Devices
Our Joint Strategy for Data-Intensive Care
Data
Servers Storage Network
Applications
Analytic Tools and utilities
Big Data Platform
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PATIENT-CENTERED OUTCOMES Access to care for
the underserved
Enabling early intervention and prevention
Encouraging patient empowerment
Better quality of care and health outcomes from care designed for the individual
Basque Country (Spain) – Project O-sarean
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Citizen access to personal health data – enabling informed choice and empowering the citizen
Regional public healthcare system covering 2.1 M inhabitants with 20 hospitals and more than 23K healthcare professionals.
80% of patient interactions with the public health system are related to chronic diseases driving 77% of the total health expenditure.
Health expenditure on current trends if nothing is done differently will need to double by 2020!
Oracle Health Management Platform is being implemented to support a call centre-based approach to citizen engagement and patient empowerment.
Background / Needs Results with Oracle and Intel
Active monitoring of health status for people with long term conditions
The “expert patient” – providing the individual with the necessary knowledge and decision-making authority to take control of their life
Health and drug advisory service – providing citizens with impartial and evidence-based advice
Healthy lifestyles promotion – advice, guidance and active support for individuals who wish to improve their health
The Basque Country Multi-Channel Health Service Centre – Delivering Active Patient Management
CRM IVR BI
Patient-professional collaboration
New appointment
model
Health counseling
Active patient
Personal information
access
Patients remote monitoring
Customer services
administrative procedures
Prevention campaigns
Health advice over the phone, internet
and smart phones by Osakidetza nurses
Personal Health Record
Professional and technical support for
non-face-to-face consultations Administrative procedures
online, citizens and users surveys
Telemedicine solution for chronic patients
through mobile platforms Public health campaigns.
Alerts and Vigilance
Patient empowerment: customized
health advice, patient forums, assisted health promotion
Appointments and demand management to GP,
pediatricians, nurses and midwives, through telephone, internet and smart phones
Virtual referrals, tele-consults
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From A Solution Perspective, the Multi-Channel Health Service Contains Several Oracle Components Facts The multi-channel health service connects 11 acute hospitals, 4 chronic hospitals, 4 mental health hospitals, 1.850 GPs and 820 pharmacies. 15 FTE nurses staff the nurse call center and approx. 330 FTE administrative staff work collaboratively from health centres.
Hospitals GPs Pharmacy Other...
Information exchange
Analytical DW
EHR Information
Source systems
Integration, Storage & Control Layer
He
alt
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an
ag
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Pla
tfo
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Health
Services Interoperability services
Oracle
Patient’s “Smart” PHR
EHR access for professionals
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Maternity Assist
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The Proposition More time to spend with those who have greater needs
Automated routine care pathway tasks
Knowledge sharing with the extended midwifery community
Users stay informed at every stage of their pregnancy
Users can keep in touch with your team of dedicated midwives
The Value Services accessed at a time that suits the patient
Knowledge base of information provided by experienced midwives
Encouraging self care with support of family and friends
Educate, inform, engage everyone involved
Patient empowerment to engage with the most suitable care
Maternity Assist
The Communication
Channel
Close friends
Close Family
Woman
Close Friends
Close Family
Woman
Midwife
Reducing Hospital Readmissions and Length of Stay: Big Data Analytics Solution Based on Cloudera CDH*
Data is spread across numerous data silos; need to tie it together with a unified platform to enable high-value analytics
Challenge Solution
0%
20%
40%
60%
AMI PNM CHF
Readmission Rate of Highest Risk Group vs.
Random Sample
Predictive Model Random Sample
Benefits
Successful PoC based on Cloudera CDH; pulled data from multiple sources
Intel Big Data Professional Services team provided data science expertise to develop analytics
Identified patients at risk of hospital readmission and patients at risk of extended hospital stay
Early Intervention Using Predictive Analytics:
Data siloed across different care providers and disciplines; value of unstructured data currently untapped. Lack of care coordination results in increased hospital re-admissions and increased cost
Challenge Solution
Benefits
Big Data Analytics Solution Based on Cloudera & Santana
Cloudera pulls together siloed unstructured data from disparate systems
Santana’s “NLP Engine” (Natural Language Processing) helps to identify patterns for risk stratification and prioritise interventions
Timely collaborative care decisions
Capacity building to better serve 800K dementia patients through service transformation
MimoCare: Improving Support for Independent Living with the Intel® Intelligent Gateway™
MimoCare is the trading name of QVisual Limited. QVisual Limited is a registered company in New Zealand Company No: 1452276 UK Office: Wesley Hall, Calcutt Street, Cricklade, Swindon, Wiltshire SN6 6BA. All rights reserved by their respective owners, Copyright ©2015
Use analytics to identify normal patterns of behavior and predict events
Trigger alerts when events are outside normal range or predefined schedule
Consolidation of aggregated data will allow wider research and medical application while ensuring complete privacy
Capture sensor data to monitor activity levels, ambient temperature, cooker status and sleeping patterns
As elders age, extend their independence as long as possible while ensuring their safety
Provide better insights for preventive action
Background / Needs Results with Intel & Oracle
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Wound care is costly
The cost of treating a pressure ulcer varies from £1,214
(category 1) to £40,000 (category IV).
£3 billion in the UK
Disruptive to the patients lifestyle
Wound management is changing
Closer to the patient
Fewer specialist nurses
More pressure ulcers
Outcomes are difficult to monitor
Measurements (staging) are subjective and stepped
Population management difficult
Consistent wound measurement 1.Length, width and depth 2.That can be reviewed and managed online
Consistent Wound Images 1.At the same distance 2.To monitor changes over time
Capture and playback in 3D 1.To better visualise wounds and location 2.Supporting online specialist review
Track and manage healing over time 1. For an individual and for a population
2. Repeatable, standard and accurate severity measure*
* The ULNIT ™ is the
max height X max
width X max depth
as a number
GPC Pressure Ulcer Applications
Dimensions monitored and managed by
exception. Specialist Nurses and Physicians review 3d, video and image
including change over time and
intervene if required
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Web Applications
Integration with other systems to send and
receive worklists and medical records and to link to depth, measurement and 3D
images.
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Integration Services
Secure send and store with
intelligent image processing 2
Cloud Store & Applications
Capture of image and depth data by
clinicians and patients 1
Mobile Applications
Enabling community and patient centred care
TO LEARN MORE: Speak with your local Oracle and Intel Healthcare representative during NHS Expo (Stand 106) or go to URLs….
http://www.oracleconnectinghealthcare.com
http://www.intel.com/healthcare
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Harnessing modern communication and data sharing channels and exploring the potential of predictive analytics
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