policy related to health information systems: a u.s. case study

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Policy Related to Health Information Systems: A U.S. Case Study Nawanan Theera-Ampornpunt, M.D., Ph.D. Department of Community Medicine Faculty of Medicine Ramathibodi Hospital October 19, 2014 SlideShare.net/Nawanan [email protected] Except where referred to or copied from other works

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Page 1: Policy Related to Health Information Systems: A U.S. Case Study

Policy Related to

Health Information Systems:

A U.S. Case Study

Nawanan Theera-Ampornpunt, M.D., Ph.D.Department of Community Medicine

Faculty of Medicine Ramathibodi Hospital

October 19, 2014

SlideShare.net/Nawanan [email protected]

Except where referred

to or copied from

other works

Page 2: Policy Related to Health Information Systems: A U.S. Case Study

Outline

• Electronic Health Records & Health IT

• U.S. eHealth Policy

• HITECH Act & “Meaningful Use” of EHRs

• Lessons for Thailand

Page 3: Policy Related to Health Information Systems: A U.S. Case Study

Electronic Health Records

& Health IT

Page 4: Policy Related to Health Information Systems: A U.S. Case Study

Electronic Health Records

Page 5: Policy Related to Health Information Systems: A U.S. Case Study

• Electronic documentation of health care provided to patients, as

recorded by providers

• Ideally longitudinal (e.g., life-long) records

• Electronic Medical Records (EMRs) vs.

Electronic Health Records (EHRs) often used interchangeably (or with

some minor distinctions)

Electronic Health Records (EHRs)

Page 6: Policy Related to Health Information Systems: A U.S. Case Study

• Are they just electronic documentation?

• Or do they have some other values?

Diag-nosis

History & PE

Treat-ments ...

EHR Systems

Page 7: Policy Related to Health Information Systems: A U.S. Case Study

• Ubiquitous availability (anytime, anywhere, everyone who is authorized)

• Multiple concurrent uses

• The end of “Where the heck is the patient’s record?!?”

• Ability to control & enforce access security

• Structured data entry possible

• Data presentation that is easier to understand (e.g. graphs)

• Efficiency in data entry? (but sometimes it slows users down!)

• Process improvement (business process reengineering/redesign, quality

improvement)

• No doctor’s handwriting!!!!!

Some Benefits of EHRs

Page 8: Policy Related to Health Information Systems: A U.S. Case Study

Benefits of Health Information Technology

• Literature suggests improvement in health care through

– Guideline adherence (Shiffman et al, 1999;Chaudhry et al, 2006)

– Better documentation (Shiffman et al, 1999)

– Practitioner decision making or process of care (Balas et al, 1996;Kaushal et al, 2003;Garg et al, 2005)

– Medication safety (Kaushal et al, 2003;Chaudhry et al, 2006;van Rosse et al, 2009)

– Patient surveillance & monitoring (Chaudhry et al, 2006)

– Patient education/reminder (Balas et al, 1996)

– Cost savings and better financial performance (Parente & Dunbar, 2001;Chaudhry et al, 2006;Amarasingham et al, 2009;Borzekowski, 2009)

Page 9: Policy Related to Health Information Systems: A U.S. Case Study

Functions that Should be Part of EHR Systems

• Computerized Medication Order Entry (IOM, 2003; Blumenthal et al, 2006)

• Computerized Laboratory Order Entry (IOM, 2003)

• Computerized Laboratory Results (IOM, 2003)

• Physician Notes (IOM, 2003)

• Patient Demographics (Blumenthal et al, 2006)

• Problem Lists (Blumenthal et al, 2006)

• Medication Lists (Blumenthal et al, 2006)

• Discharge Summaries (Blumenthal et al, 2006)

• Diagnostic Test Results (Blumenthal et al, 2006)

• Radiologic Reports (Blumenthal et al, 2006)

Page 10: Policy Related to Health Information Systems: A U.S. Case Study

The Bigger Picture: Health Information Exchange

Hospital A Hospital B

Clinic C

Government

Lab Patient at Home

Page 11: Policy Related to Health Information Systems: A U.S. Case Study

Common Denominator

• Health Information Technology

• Electronic Health Records

• Health Information Exchange

Page 12: Policy Related to Health Information Systems: A U.S. Case Study

Ultimate Goal = Health

• Don’t implement technology just for technology’s sake.(Yasnoff et al, 2001 and many others)

• “Don’t make use of excellent technology.

Make excellent use of technology.”(Tangwongsan, Supachai. Personal communication, 2005.)

Page 13: Policy Related to Health Information Systems: A U.S. Case Study

U.S. eHealth Policy

Page 14: Policy Related to Health Information Systems: A U.S. Case Study

1991: IOM’s CPR Report published

1996: HIPAA enacted

2000-2001: IOM’s To Err Is Human &

Crossing the Quality Chasm published

2004: George W. Bush’s Executive Order

establishing ONCHIT (ONC)

2009-2010: ARRA/HITECH Act &

“Meaningful Use” regulations

U.S. Public Policy Related to eHealth

Page 15: Policy Related to Health Information Systems: A U.S. Case Study

(IOM, 2001)(IOM, 2000) (IOM, 2011)

Landmark IOM Reports

Page 16: Policy Related to Health Information Systems: A U.S. Case Study

• To Err is Human (IOM, 2000) reported that:

– 44,000 to 98,000 people die in U.S. hospitals each year

as a result of preventable medical mistakes

– Mistakes cost U.S. hospitals $17 billion to $29 billion

yearly

– Individual errors are not the main problem

– Faulty systems, processes, and other conditions lead to

preventable errors

Health IT Workforce Curriculum Version 3.0/Spring 2012 Introduction to Healthcare and Public Health in the US: Regulating Healthcare - Lecture d

Patient Safety

Page 17: Policy Related to Health Information Systems: A U.S. Case Study

• Humans are not perfect and are bound to make

errors

• Highlight problems in U.S. health care system

that systematically contributes to medical errors

and poor quality

• Recommends reform

• Health IT plays a role in improving patient

safety

Landmark IOM Reports: Summary

Page 18: Policy Related to Health Information Systems: A U.S. Case Study

“...We will make wider use of electronic records and other

health information technology, to help control costs and reduce

dangerous medical errors.”

Source: Wikisource.org Image Source: Wikipedia.org

President George W. Bush

Sixth State of the Union Address

January 31, 2006

?

Political Support Behind Health IT

Page 19: Policy Related to Health Information Systems: A U.S. Case Study

U.S. Adoption of Health IT

• U.S. lags behind other Western countries (Schoen et al, 2006;Jha et al, 2008)

• Money and misalignment of benefits is the biggest reason

Ambulatory (Hsiao et al, 2009) Hospitals (Jha et al, 2009)

Basic EHRs w/ notes 7.6%

Comprehensive EHRs 1.5%

CPOE 17%

Page 20: Policy Related to Health Information Systems: A U.S. Case Study

American Recovery & Reinvestment Act (ARRA)

• Economic Stimulus Legislation

• Contains HITECH Act (Health Information Technology for

Economic and Clinical Health Act)

• ~ 20 billion dollars for Health IT investments

Goals:

1. Boost economy (economic health)

2. Widespread adoption of Health IT (clinical health)

Quality Patient Safety Costs

Page 21: Policy Related to Health Information Systems: A U.S. Case Study

President Obama Backs Health IT

“...Our recovery plan will invest in

electronic health records and new technology

that will reduce errors, bring down costs,

ensure privacy, and save lives.”President Barack Obama

Address to Joint Session of Congress

February 24, 2009Source: WhiteHouse.gov

Page 22: Policy Related to Health Information Systems: A U.S. Case Study

U.S. National Leadership on Health IT

David Blumenthal, MD, MPPNational Coordinator for

Health Information Technology

(2009 - 2011)

Farzad Mostashari, MD, ScMNational Coordinator for

Health Information Technology

(2011 - 2013)

Robert Kolodner, MDNational Coordinator for

Health Information Technology

(2006 - 2009)

David Brailer, MD, PhDNational Coordinator for

Health Information Technology

(2004 - 2007)

Office of the National Coordinator for Health Information Technology

(ONC -- formerly ONCHIT)

Photos courtesy of U.S. Department of Health & Human Services

Karen B. DeSalvo, MD, MPH, MScNational Coordinator for

Health Information Technology

(2014 - Present)

Page 23: Policy Related to Health Information Systems: A U.S. Case Study

HITECH Act &

“Meaningful Use”

of EHRs

Page 24: Policy Related to Health Information Systems: A U.S. Case Study

Blumenthal D. Launching HITECH. N Engl J Med. 2010 Feb 4;362(5):382-5.

HITECH Act

Page 25: Policy Related to Health Information Systems: A U.S. Case Study

“Meaningful Use” of EHRs

• Use of “Certified EHR Technology” (CEHRT) by

providers (eligible professionals, eligible hospitals

& critical access hospitals) to achieve significant

improvements in care

• Financial incentives & penalties

Page 26: Policy Related to Health Information Systems: A U.S. Case Study

Incentives for Eligible Professionals (Doctors)

• Medicaid incentives for eligible professionals– Maximum $63,750 over 6 years beginning in 2011

• Medicare payments for eligible professionals– Maximum $44,000 over 5 years

Page 27: Policy Related to Health Information Systems: A U.S. Case Study

Incentives for Eligible Hospitals

http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Downloads/MLN_TipSheet_MedicareHospitals.pdf

Page 28: Policy Related to Health Information Systems: A U.S. Case Study

“Meaningful Use” of A Pumpkin

“Meaningful Use”

of a PumpkinPumpkin

Image Source & Idea Courtesy of Pat Wise at HIMSS, Oct. 2009

Page 29: Policy Related to Health Information Systems: A U.S. Case Study

Meaningful Use of EHRs: ONC’s 3-Stage Approach

Stage 1

- Electronic capture of

health information

- Information sharing

- Data reportingStage 2

Use of EHRs

to improve

processes of

care

Stage 3

Use of

EHRs to

improve

outcomes

Better

Health

Blumenthal D, 2010

Page 30: Policy Related to Health Information Systems: A U.S. Case Study

Components of Meaningful Use Regulations

• Medicare & Medicaid Incentives for Meaningful Use of EHRs– Centers for Medicare and Medicaid Services (CMS)

• Rule on Standards, Implementation Specifications &

Certification Criteria

• Certification Programs– Office of the National Coordinator for Health IT (ONC)

Page 31: Policy Related to Health Information Systems: A U.S. Case Study

Meaningful Use Incentives: Stage 1

Proposed Rule

(Jan. 2010)

• 23 Criteria for Hospitals to Pass

• 25 Criteria for Professionals (Clinics) to Pass

Public Hearing

• Pace & Scope: too ambitious, demanding, inflexible

• Few providers would likely qualify -> Little adoption

Final Rule (2011)

• Core Objectives (14 criteria for Hospitals, 15 for Professionals, required)

• Menu Set (10 criteria, pick 5)

Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501-4.

Page 32: Policy Related to Health Information Systems: A U.S. Case Study

Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501-4.

Meaningful Use Stage 1 Criteria

Page 33: Policy Related to Health Information Systems: A U.S. Case Study

Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501-4.

Meaningful Use Stage 1 Criteria

Page 34: Policy Related to Health Information Systems: A U.S. Case Study

Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501-4.

Meaningful Use Stage 1 Criteria

Page 35: Policy Related to Health Information Systems: A U.S. Case Study

Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501-4.

Meaningful Use Stage 1 Criteria

Page 36: Policy Related to Health Information Systems: A U.S. Case Study

Some Selected Meaningful Use Stage 1 Final Rule:

Core Objectives• Electronic capture of information

– Demographics

– Vital signs

– Medication list

– Allergies

– Problem list

– Smoking

• Medication order entry

• Drug-allergy & drug-drug interaction checks

• Patient access to/copy of health information

Page 37: Policy Related to Health Information Systems: A U.S. Case Study

Some Selected Meaningful Use Stage 1 Final Rule:

Menu Set• Drug formulary checks

• Lab results incorporation into EHRs

• Generate lists of patients by specific conditions

• Medication reconciliation

• Electronic reporting to governmental agencies

• Advanced directives for elderly patients

• Patient reminders for certain services (for clinics)

• Patient access to health information (for clinics)

Page 38: Policy Related to Health Information Systems: A U.S. Case Study

Final Rule on Standards & Certification Criteria (Selected)

• Content Exchange Standards– HL7 CDA Release 2 & CCD

– NCPDP SCRIPT

• Vocabularies• SNOMED CT

– LOINC®

– RxNorm®

• Security– NIST-certified encryption algorithms

• Etc.

Page 39: Policy Related to Health Information Systems: A U.S. Case Study

http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Downloads/Stage2Overview_Tipsheet.pdf

Stages & Timeline of Meaningful Use

Page 40: Policy Related to Health Information Systems: A U.S. Case Study

Evolution of Meaningful Use Objectives in Each Stage

• 2011 Definition Stage 1:– 14 Core Objectives for Hospitals

– 15 Core Objectives for Professionals

– Pick 5 of 10 Menu Set Objectives

• 2013 Definition Stage 1:– 12 Core Objectives for Hospitals

– 13 Core Objectives for Professionals

– Pick 5 of 10 Menu Set Objectives

Page 41: Policy Related to Health Information Systems: A U.S. Case Study

Evolution of Meaningful Use Objectives in Each Stage

• 2014 Definition Stage 1:– 11 Core Objectives for Hospitals

– 13 Core Objectives for Professionals

– Pick 5 of 10 Menu Set Objectives for Hospitals

– Pick 5 of 9 Menu Set Objectives for Professionals

• 2014 Definition Stage 2:– 16 Core Objectives for Hospitals

– 17 Core Objectives for Professionals

– Pick 3 of 6 Menu Set Objectives

Page 42: Policy Related to Health Information Systems: A U.S. Case Study

Meaningful Use Stage 2 Objectives (2014)

for Eligible Professionals

http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Downloads/Stage2Overview_Tipsheet.pdf

Page 43: Policy Related to Health Information Systems: A U.S. Case Study

Meaningful Use Stage 2 Objectives (2014)

for Eligible Professionals

http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Downloads/Stage2Overview_Tipsheet.pdf

Page 44: Policy Related to Health Information Systems: A U.S. Case Study

Meaningful Use Stage 2 Objectives (2014) for Hospitals

http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Downloads/Stage2Overview_Tipsheet.pdf

Page 45: Policy Related to Health Information Systems: A U.S. Case Study

Meaningful Use Stage 2 Objectives (2014) for Hospitals

http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Downloads/Stage2Overview_Tipsheet.pdf

Page 46: Policy Related to Health Information Systems: A U.S. Case Study

Critique:

Lessons for Thailand

Disclaimer: Personal opinions of the speaker

Page 47: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #1

Clear aim toward improved quality &

efficiency of health care.

Page 48: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #2

Large health IT initiatives require

leadership from the highest level

of government.

Page 49: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #3

To achieve widespread health IT

adoption, substantial financial

investment is necessary.

Page 50: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #4

Leadership from a national

organization with health informatics

expertise is vital to success.

Page 51: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #5

Criteria for “Meaningful Use” should

be evidence-based

to the extent possible.

Page 52: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #6

Criteria for incentives should be

realistic and flexible.

Page 53: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #7

Criteria for incentives should be

evolutionary.

Page 54: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #8

Accept local diversity in technologies

& requirements.

Don’t aim for homogeneous

environment.

Page 55: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #9

Leverage existing standards

to the extent possible.

Don’t reinvent the wheel.

Page 56: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #10

Acknowledge that more than one

level of interoperability needs to be

achieved.

Page 57: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #11

A policy that attempts to move too

fast or be too dynamic will greatly

burden providers

Page 58: Policy Related to Health Information Systems: A U.S. Case Study

Lesson #12

“Meaningful Use” focuses too much

on functionality, with questions on

true interoperability, and with little

attention on usability, ease of use &

provider acceptance of technology

Page 59: Policy Related to Health Information Systems: A U.S. Case Study

Take Home Message

• Adoption of health IT still work in progress, even

in developed countries

• We can learn something from other countries

• We need to do something, soon.

• Don’t forget to build the workforce!!

Page 60: Policy Related to Health Information Systems: A U.S. Case Study

Useful Online Resources• www.healthit.gov

• www.cms.gov/Regulations-and-

Guidance/Legislation/EHRIncentivePrograms/index.html

• www.himss.org/EconomicStimulus/

• www.amia.org/public-policy/testimony-comments-reports

• www.nejm.org/doi/full/10.1056/NEJMp0912825

• www.nejm.org/doi/full/10.1056/NEJMp1006114

Page 61: Policy Related to Health Information Systems: A U.S. Case Study

References (1)• Amarasingham R, Plantinga L, Diener-West M, Gaskin DJ, Powe NR. Clinical information technologies and

inpatient outcomes: a multiple hospital study. Arch Intern Med. 2009;169(2):108-14.

• Balas EA, Austin SM, Mitchell JA, Ewigman BG, Bopp KD, Brown GD. The clinical value of computerized

information services. A review of 98 randomized clinical trials. Arch Fam Med. 1996;5(5):271-8.

• Blumenthal D. Launching HITECH. N Engl J Med. 2010 Feb 4;362(5):382-5.

• Blumenthal D, DesRoches C, Donelan K, Ferris T, Jha A, Kaushal R, Rao S, Rosenbaum S. Health information

technology in the United States: the information base for progress [Internet]. Princeton (NJ): Robert Wood

Johnson Foundation; 2006 [cited 2010 Oct 14]. 81 p. Available from:

http://www.rwjf.org/files/publications/other/EHRReport0609.pdf

• Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010

Aug 5;363(6):501-4.

• Borzekowski R. Measuring the cost impact of hospital information systems: 1987-1994. J Health Econ.

2009;28(5):939-49.

• Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, Morton SC, Shekelle PG. Systematic review: impact

of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med.

2006;144(10):742-52.

Page 62: Policy Related to Health Information Systems: A U.S. Case Study

References (2)• Garg AX, Adhikari NKJ, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized

clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

JAMA. 2005;293(10):1223-38.

• Hsiao C, Beatty PC, Hing ES, Woodwell DA. Electronic medical record/electronic health record use by office-

based physicians: United States, 2008 and preliminary 2009 [Internet]. 2009 [cited 2010 Apr 12]; Available from:

http://www.cdc.gov/nchs/data/hestat/emr_ehr/emr_ehr.pdf

• Institute of Medicine, Board on Health Care Services, Committee on Data Standards for Patient Safety. Key

Capabilities of an electronic health record system: letter report [Internet]. Washington, DC: National Academy

of Sciences; 2003 [cited 2010 Oct 14]. 31 p. Available from: http://www.nap.edu/catalog/10781.html

• Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG, Shields A, Rosenbaum S, Blumenthal D.

Use of electronic health records in U.S. hospitals. N Engl J Med. 2009;360(16):1628-38.

• Jha AK, Doolan D, Grandt D, Scott T, Bates DW. The use of health information technology in seven nations. Int

J Med Inform. 2008;77(12):848-54.

• Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support

systems on medication safety: a systematic review. Arch. Intern. Med. 2003;163(12):1409-16.

Page 63: Policy Related to Health Information Systems: A U.S. Case Study

References (3)• Parente ST, Dunbar JL. Is health information technology investment related to the financial performance of US

hospitals? An exploratory analysis. Int J Healthc Technol Manag. 2001;3(1):48-58.

• Schoen C, Osborn R, Huynh PT, Doty M, Puegh J, Zapert K. On the front lines of care: primary care doctors’

office systems, experiences, and views in seven countries. Health Aff (Millwood). 2006;25(6):w555-71.

• Shiffman RN, Liaw Y, Brandt CA, Corb GJ. Computer-based guideline implementation systems: a systematic

review of functionality and effectiveness. J Am Med Inform Assoc. 1999;6(2):104-14.

• Van Rosse F, Maat B, Rademaker CMA, van Vught AJ, Egberts ACG, Bollen CW. The effect of computerized

physician order entry on medication prescription errors and clinical outcome in pediatric and intensive care: a

systematic review. Pediatrics. 2009;123(4):1184-90.

• Yasnoff WA, Overhage JM, Humphreys BL, LaVenture M. A national agenda for public health informatics:

summarized recommendations from the 2001 AMIA Spring Congress. J Am Med Inform Assoc. 2001

Dec;8(6):535-545.