IBM Smarter Healthcare presentation - Angus Campbell - Smarter planet comes to you - York
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As part of 'Are you seeing 2020', the event held by SFSP-York and the ISA to showcase the IBM Skills truck stopping at York University, Angus Campbell will show us how healthcare is going to change in the next ten years.
Transcript of IBM Smarter Healthcare presentation - Angus Campbell - Smarter planet comes to you - York
IBM Smarter Healthcare
Healthcare UK Challenge
Capability in aggregating data within operational systems and document libraries to provide care summary for decision support
National initiatives have had limited success: Electronic Patient Record initiative National Programme for IT (NPfIT) led by NHS Connecting for Health
(CfH)
NPfIT programme now suspended. Revised CfH strategy focuses upon integrating existing systems
IBM Smarter Healthcare Instrumentation, interconnection, intelligence Clinical decision support Improved management and outcomes
Legacy Systems Characteristics
Multiple Silos of systems all carrying important patient and performance data
Multiple data stores and databases
Mountains of paper-based information containing important patient data
Other information sources (such as medical devices) generating additional paper or short term data that is not stored.
Source Operational Systems
Data collected via manual input or from instrument interfaces
Pharmacy System
Patient Administration
System
Pathology
System
Ward and Departmental
Systems Users
AdminUsers
Radiology System
Data Warehouse
Stat Returns, Reports Users
Medical Devices
Legacy Systems Issues Clinicians spending too much time
looking for the relevant information about their patient
Clinicians relying upon paper records which are out of date and inaccurate
Discharge Summaries which take too long to complete and are prone to error
Excessive Re-admissions and follow up appointments
Inability to standardise upon common care pathways
Inability to include medical device information within patient record
Inability to claim/evidence best practice payments via payment by results
Source Operational Systems
Data collected via manual input or from instrument interfaces
Pharmacy System
Patient Administration
System
Pathology
System
Ward and Departmental
Systems Users
AdminUsers
Radiology System
Data Warehouse
Stat Returns, Reports Users
Medical Devices
Decision support capability is severely compromised.
Smarter Healthcare
Integration Engine - Information Bus
Overarching Data Aggregator. Collects feeds from different
source systems and creates a single feed in the format required
for downstream applications
MLLP HL7, XDS, XML,Proprietary,Scraping
Integration Engine -
Information BusWeb Services
MLLP HL7
Clinical Dashboards Clinical and
Paramedic Users
Clinical ApplicationsClinical
ApplicationsClinical Applications
Health and Business Analytics
Stat Returns, Reports, Research
Users
Care Pathway Optimisation
Personalised views and decision support applications
Provide aggregated contextualised information
tailored for each users requirements
Ward and Departmental
Systems Users
AdminUsers
Source Operational Systems
Data collected via manual input or from instrument interfaces and
digitised documents
Pharmacy System
Patient Administration
System
Pathology
System
Radiology System
Medical Devices
RealTime
Historic
Instrument/Interconnect Intelligence
Data Warehouse
Stat Returns, Reports Users
Clinical Portal
Information aggregated frommultiple sources – real time andin context
RealTime
Medical Device Integration RealTime
Medical Device Integration RealTime
Proactive Monitoring
20% of peoplegenerate
80% of costs
Healthy/Low Risk
At-Risk
HighRisk
ActiveDisease
Healthcare spending
Early Symptoms
Health status
Source: IBM Global Business Services and IBM Institute for Business Value
Telehealth - Concept
Telehealth – Smart Devices RealTime
TelehealthDialog Pro-active Disease Management - Denmark
15,282 Patients
149 GP
12 Specialists
3 Out-Patient Clinics
Municipality of Odense
Implementation project in progressImplementation project in progress
4bfbcaac63a84.jpg
Clinical Analytics Historic
Service Benefits Personalised summary care record
Personalised views provide contextualised aggregated data to facilitate decision support
Better quality review and outcome Improved patient care
Less duplication of test requests Less time to review diagnostic information More appropriate investigations based upon relevant history Reduction in follow up appointments and readmissions Automatic generation of documentation for reporting or referral
Improved collaboration between clinical specialties Better quality care Less time consuming
Improved capabilities in trend analysis and exception reporting Cost effective low risk delivery
High return on investment Standard extensible architecture
Smarter Healthcare
Improve operational effectiveness
Deliver collaborative care for prevention and wellbeing
Achieve better quality and outcomes
+ + =IntelligentInstrumented Interconnected
