health information technology and informatics: a significant evolution
DESCRIPTION
John Glaser, PhD, CEO, Health Services, Siemens Healthcare . Health Information Technology and Informatics: A Significant Evolution. Disclosure. Speaker discloses that he has financial interests in and receives compensation from Siemens Healthcare. . Learning Objectives. - PowerPoint PPT PresentationTRANSCRIPT
Answers for life.Restricted © Siemens AG 2014 All rights reserved.
Health Information Technology and Informatics: A Significant Evolution
John Glaser, PhD, CEO, Health Services, Siemens Healthcare
Page 2
Disclosure
• Speaker discloses that he has financial interests in and receives compensation from Siemens Healthcare.
Page 3
Learning Objectives
• At the conclusion of this activity, the learner should be better able to:
1. Understand the shift from a transaction-oriented to an intelligence-based electronic healthcare record
2. Understand the HIT system capabilities required to support accountable care processes
3. Understand the influence of the next IT revolution
The Challenge: Recent Slowdown but Healthcare Costs Are Projected to Grow in 2014 and Beyond
Source Centers for Medicare and Medicaid Services (CMS): http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/downloads/highlights.pdfAdministration on Aging (AoA): http://www.aoa.gov/Aging_Statistics/Profile/2011/4.aspx
Acceleration in health spending growth expected to be 6.1% in 2014 with annual growth of 6.2% in 2015 and beyond Improving economy, ACA coverage expansion,
and demographics contribute to increasing growth rate
Total healthcare spending will reach $2.9 trillion in 2013
By 2022, numbers of uninsured people will drop by 30 million
Will increase cumulative health spending by approx. $621 billion
Demographic trends contribute to increasing costs. Americans ages 65 or older will comprise 19.3% of population by 2030, up from 13% in 2010
7.5 million^
The Majority of an Average Provider’s Revenue Will likely Be Risk-Based in 10 Years
Source: The Advisory Board Company, Jan. 2014Page 5
A Significant Shift in the Healthcare Business Model Is Underway
Being responsible for those who seek our services
Avoiding the sickest chronic patients
Treating all patients the same
Offering care at centralized facilities
Maximizing the use of resources & assets
Emphasizing volumes
Treating individuals when they get sick
Individual care providers
Best efforts
Being responsible for the needs of the community
Keeping groups of people healthy
Emphasizing outcomes
Applying appropriate levels of care at the right place
Offering care at sites convenient to patients
Customizing healthcare for each patients
Creating venues to provide special chronic care services
Collaborative teams of providers
High reliability organizations
Page 6
Page 7
Payment Changes Will Lead to Different Care Emphases and Organizational Models
Page 8
Providers will need to Manage and Improve Multiple Disease-Invariant Care Processes
Source: Best Care at Lower Cost, September 2012 Institute of Medicine; Smith, M Study Chair
Less than 50% of elderly patients are up to date on clinical preventive services Elderly patients with
co-morbidities require up to
19 medication doses daily
Every year, the average elderly patient sees 7 doctors across 4 practices
Specialties
Primary Care
Average surgery patient is seen by 27 different health care providers
RNs
MDs
Allied Health Less than half of non-
surgical patients follow-up with their primary care provider after discharge
1 out of 5 elderly patients are readmitted within 30 days
Preventive Self Management Outpatient Care Hospital Follow-up
Page 8
Page 9
It Is Not Possible to Address these Challenges without a Foundation of Sophisticated IT
Today’s providers are taking on risk arrangements and need to proactively manage the care and wellness of their patient population by:
• Managing care over a continuum
• Managing the health of populations and individuals
• Supporting care teams with evidence-based processes and advanced analytics
• Engaging patients (and their families) to take the necessary steps to improve their health
• Improving the efficiency and effectiveness of core operations
And providers must accomplish all of this across an ecosystem with multiple IT systems.
Core Technology Components Will Be Required
An electronic health record that spans the continuum of care A revenue cycle and contracts management application that spans the
continuum of care Sophisticated business intelligence and analytics Systems that enable interoperability between closely affiliated
providers Technologies that support the engagement of patients Services that enable maximum leverage of healthcare IT investment
Page 10
Material Changes in Business Models, Technologies and/or Environment Lead to Significant Changes in and Industry’s Core IT Platforms
Page 11
Retail World Wide Web Web-based product review, comparison and ordering
Banking Deregulation Funds Management
Content Distribution World Wide Web Music ecosystems; Free news; Craigslist
Health insurance ACA; CDHP Exchanges; Provider comparisons
Three Categories of Fundamental Change in Information Technology Will Be Experienced
Move from Transaction-
based to Intelligence-based EHR
Learn to Leverage “Fifth IT
Revolution”
Ability toManage
AccountableCare
Processes
Page 12
For many Years, the Core Focus of the Electronic Health Record Has Been the Transaction
Transactions include:
Writing a prescription
Retrieving results
Documenting a visit
This focus addressed the core challenges:
The serial treatment of patients (outpatient)
The coordination of diagnostic and treatment activities (inpatient care)
Page 13
For many Years, the Core Focus of the Electronic Health Record Has Been the Transaction
The care setting emphasized: Transaction speed and
efficiency Ease of use Good coverage of care
diversity The benefits were the reduction
in transaction problems: Legibility Medication errors Documentation completeness
Page 14
The Challenge: Quality Remains Uneven
Last September, in its report on “Best Care at Lower Costs: The Path to Continuously Learning Health Care in America,” the IOM noted that patients get effective care only about half the time, that gaps in coordination remain widespread, that serious preventable medical errors are common, and that perhaps more than 30 percent of healthcare costs could be avoided as a result of improving quality and efficiency.
U.S. Senate Committee on Finance Testimony, June 26, 2013 Improving Health Care Quality: The Path Forward, McClellan, Mark B
“
”
Page 15
Page 16
Our Understanding of the Complexities of Disease is Accelerating – There Is too much to Know
Care Process Problems Will Become Intolerable
Extrapolated from various studies conducted by Partners Healthcare.
1,000 patientswho qualified for secondary prevention of high cholesterol
1,000 womenwith a marginally abnormal mammogram
360 who will not receive appropriate follow-up care
1,000 referrals 250 referring physicianswho have not received follow-up information four weeks later
1,000 patientscoming in for outpatient care
14 patientswith life threatening or serious ADEs
There Appear to Be:For Every:
380 will not have a LDL-C, within three years, on record
1,000 patientswho qualified for secondary prevention of high cholesterol
1,000 womenwith a marginally abnormal mammogram
360 who will not receive appropriate follow-up care
1,000 referrals 250 referring physicianswho have not received follow-up information four weeks later
1,000 patientscoming in for outpatient care
14 patientswith life threatening or serious ADEs
There Appear to Be:For Every:
380 will not have a LDL-C, within three years, on record
Page 17
Page 18
Machine Reconciliation of Data Inconsistencies
Page 19
The Emphasis Will Shift from Transaction Support to Include Intelligence Support – Core Objectives
Guide clinical diagnostic and therapeutic decisions
Ensure sequence of care activities conform to the evidence and performance contract requirements
Monitor the execution of core clinical processes
Capture, report and integrate into EHRs quality and performance measures
Support the interactions of the care team
Three Categories of Fundamental Change in Information Technology Will Be Experienced
Move from Transaction-
based to Intelligence-based EHR
Learn to Leverage “Fifth IT
Revolution”
Ability toManage
Accountable Care
Processes
Page 20
Accountable Care Management Processes
Page 21
The key is managing the care plan of the individual and stepping back and looking at the population in aggregate.
Populations will include those that are a readmission risk, are undergoing a procedure bundle or have a chronic disease
Page 22
Determine Variation from Plan: Readmissions Dashboard
Concurrent Quality Intelligence: Cohort Monitoring
Page 23
Creating Approaches to Moving Population Management Applications to the Next Generation
A shift from a generation characterized by: Management of only the sickest/high risk patients Static risk categorization Single disease/condition focus based on simple data values and events “List” generation with significant manual work Retrospective
To a generation characterized by: Management of all patients Risk categorization that follows a patient’s evolving risk Multi-disease/condition focus using evidence-based care plans Significant process automation and leverage of the care team including
the patient Concurrent
Page 24
Three Categories of Fundamental Change in Information Technology Will Be Experienced
Move from Transaction-
based to Intelligence-based EHR
Ability toManage
AccountableCare
ProcessesLearn to Leverage “Fifth IT
Revolution”
Page 25
Page 26
The “Quantified Self”
Page 27
Characteristics of this Era
The era is characterized by: Networked, powerful processors almost everywhere and on almost anything Diverse array of sensitive and specific “sensors” Massive amounts of data and novel methods for analyzing it Software delivered as a service A wide variety of collaboration, community and knowledge resources
This era will enable us to: Use large data volumes to perform “real world” analysis and experiments Orchestrate complex processes Deliver new services, e.g., location aware and location invariant services Extend and enrich fundamental human activities such as being a member of a
community and searching for information
Page 28
Comparison of Relative Risk of Medications Using EHR Data
Source: Brownstein J, Murphy S, Goldfine A, Grant R, Sordo M, Gainer V, Colecchi J, Dubey A, Nathan, D, Glaser J, Kohane I. Rapid identification of myocardial infarction risk associated with diabetic medications using electronic medical records. Diabetes Care 2010;33(3):526-31.
Tailoring Cancer Therapy
Cel
l Lev
elO
rgan
Lev
el
Multi-parametric MRIPET/CT
Tissue Biomechanics (Elastography, Fibrosis)
Biologically Guided Radiotherapy
Chemo Therapy
Spectroscopy, CEUS
H&E stained, AMACR, CK903
Shape and Appearance
Circulating Tumor Cells
Ablative Therapy
Mol
ecul
ar L
evel
PhaseContrast
SNP, mRNA, Proteomics…
Cell/TissueSelf-Organization
Apoptosis
Immuno and Gene TherapyMolecular Networks
Patient Observations Computational Models Individualized Treatment
Tiss
ue L
evel
Histopathology
Imag
ing
and
Sens
ing
Mod
elin
g an
d Es
timat
ion
Dec
isio
n M
akin
g, T
hera
py S
elec
tion
and
Opt
imiz
atio
nPage 29
Page 30
Who Is this Person and What Are They Trying to Do?
Page 31
The EHR Must Be Designed for the Future; Not the Past
Support collaboration Inter-disciplinary and
multi-disciplinary teams Shared worklists
Enable personalized care Treatment decision support Predictive models Intelligent order sets and
documentation templates Enables reliable processes
Workflow engine Health information exchange
Manage populations Disease registries Referral management
Provides introspection Guideline adherence
assessment Quality measures capture
and real time display Financial optimization analyses
Questions?Page 32