E-Health
Definition
Vision
• Clinicians and patients receiving and
recording the right information, at the right
time, in the right place, on the right device
and with the right view to facilitate optimal
patient care
Why is it so hard ?
• Like designing and building a house with
50 different people who don’t or can’t talk
to each other
Scope and Types of applications in
a “Digital Hospital”
Scope and Type of applications in a
“Digital Hospital” (another view)
End Users
Organisational Change Roadmaps
Hospital Staff Patients Families Partners/ Service Providers Health dept Staff
Other Govt
Connectivity
Identity & Access
Public
Wireless Internet Wide Area
Network
Local Area Networks Authorisation & Authentication Directory Services Administration
Telecoms (Fixed & Mobile)
Applications Internal / External Clinical / Non Clinical
Servers and Storage Local (e.g. Theatre) Server Room Data Centre/s External
Network Infrastructure Cabling Network Equipment (Switches, Routers, Firewalls, IPS)
Physical Infrastructure
Server Room Comms Rooms Carrier Entry Rooms Campus Distributors Power, UPS, Generators Air Conditioning Fire Suppression
IC T I n v e s tm e n t M a n a g e m e n t & S e rv ic e D e liv e ry Radio
Knowledge, Information and Data Physical / Electronic
End User Environment Biomedical Technology Systems Building & Security Systems ICT Devices No Physical Boundaries PACS Digital Theatres
How do we make sense of this
• Clinical applications:
– Medications management systems – Pathology systems
– Radiology systems
– Electronic clinical notes
– Electronic transfer and discharge summaries
– Patient information/education systems – Clinical knowledge repositories
– Clinical audit databases
• Administrative systems:
– Patient booking systems
– Patient identification systems – Business analysis systems
– Governmental reporting systems – Billing systems
So how do we make sense of this?
• Hardware “techie stuff”:
– End-user devices: pc’s, bar-code readers, cameras, dataphones
Fixed Devices Mobile Devices
Patient Entertainment Mobile Phones IP wireless Phones / Pager WiFi Tags IP Phones / PBX Reserve PDAs Tablets Notebooks
So how do we make sense of this?
• Hardware techie stuff
– Data storage devices: servers and server rooms etc
– Information transfer devices and systems: Cabling, wireless
So how do we make sense of this?
• Software “techie stuff”
– Encryption protocols – Messaging protocols – Security/identification
protocols
Unpacking Clinical Applications
• Laboratory systems: – Electronic ordering – Results reporting – Test scheduling – Electronic Decision support: • Alerts • Normal ranges • Ordering protocols • othersUnpacking Clinical Applications
• Radiology systems:
– Digital imaging – Digital storage – Digital viewing
– Computer aided digital manipulation
– Digital ordering and result reporting
– Electronic scheduling – Decision support
Unpacking Clinical Applications
• Medications management
– Electronic prescribing
– Electronic pharmacy validation – Electronic /robotic dispensing – Inventory control – PBS/S100 billing – Electronic discharge medications – Electronic medications administration systems – Decision support
– variable dose regimes integrated to laboratory/ clinical measures
Unpacking Clinical Applications
• Discharge and hand-over summaries
– Discharge summaries
range from entirely manual data entry with print to fax to automatic data
extraction and messaging. – Hand-over summaries
often contain many
common data elements. – Summary electronic health
records shared between public and private sectors
• Specific Clinical area applications
– Emergency department
– Operating theatre and anaesthetics records – Intensive care records
– Community Health records – Mental Health records
CCD = Continuity of Care Document; CDR = Clinical Data Repository; CDSS = Clinical Decision Support System; CMV = Controlled Medical Vocabulary; CPOE = computerized practitioner order entry;
EMR = electronic medical record; HCO = Health Care Organization; Lab = laboratory; Rad = radiology; R-PACS = Radiology - Picture Archiving and Communication System. Source: HIMSS Analytics Database.
n = 5,166 n = 5,073
Total Hospitals
15.6% 19.3%
All three ancillaries not installed
Stage 0
11.5% 14.0%
Ancillaries - lab, rad, pharmacy - all installed Stage 1 31.4% 37.2% CDR, CMV, CDSS inference engine, may have document imaging Stage 2 35.7% 25.1% Clinical documentation (flow sheets), CDSS (error checking), PACS available outside radiology Stage 3 2.5% 2.2% CPOE, CDSS (clinical protocols) Stage 4 2.5% 1.4%
Closed loop medication administration Stage 5 0.5% 0.8% Physician documentation (structured templates), full CDSS (variance and compliance), full R-PACS Stage 6 0.3% 0.0%
Medical record fully electronic; HCO able to contribute CCD as a byproduct of EMR; data warehousing in use Stage 7 2008 Final 2007 Final Cumulative Capabilities Stage
Figure 1. EMR Adoption Model 2007 and 2008 Final: United States
The pathway to comprehensive
e-Health
Implementation challenges
•Where do we start?
•Comprehensive suite of applications, department by department •Individual applications, throughout facilities and across facilities
•Individual applications department by department (current commonest Strategy)
Views on Benefits of digital
Hospitals
Cost/benefit
Benefits increase exponentially with e-health automation, while costs increase incrementally
Cost/Benefit: the need for change
management
NeHTA: Establishing the basis for
e-Health
Hypothesis
• If Medical teams on ward rounds are
provided with bedside patient information, they will be more likely to use that
information in making good diagnostic and management
Project Methodology
1. Baseline priority clinical processes
2. Apply technology framework
Methodology
• Team observation on multiple occasions at Baseline to track workflows and establish indicative times spent on tasks
• Introduction of C5as with a short orientation to the PC (extra capabilities such as bar-code
reading, camera deliberately not used). No extra training in use of standard applications
• Repeat observation of multiple teams on
multiple occasions, including same team with and without tablet in use (tablet software glitch)
Baseline applications
• Synapse: web viewer for radiology images
• HBCIS: Patient administration system
(Black screen)
• Auslab: Pathology results (Black screen)
• Clinicians Knowledge network (CKN): web
based access to electronic journals, some
electronic texts, Cochrane, Medication
Robina Hospital
• Impact that mobility can have on clinical processes
• Ward rounds and discharge – introducing clinical mobile tablets • Emergency Department, Medical
Ward, ICU and Outpatients • New Partnership Model • Commenced July 2007 –
December 2008
How to……
• improve the quality of care I provide • spend more time with patients and • less time doing paper work
Conclusion
• There were significant differences observed in the frequency of access to patient specific
information and to clinical information databases.
• There was a reduction in time spent logging into desk-top PCs , with this time spent discussing diagnosis and management with the patient.
• The observational team noted a change from an error prone, linear repetitive process of
diagnosis formulation to a rapid, data driven patient centric hypothesis driven diagnostic process