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Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update
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Page 1: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Health IT Policy Committee MeetingJuly 9, 2013

Data Analytics Update

Page 2: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Data Analytics Update Items

Recent results from 2 national surveys of physicians and hospitals:

1) Trends in adoption of EHRs and MU capabilities among physicians and hospitals

2) Routine use of EHR and MU capabilities among physicians

3) Stage 2 readiness among hospitals

Page 3: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Sources

Office-Based Physicians Are Responding To Incentives And Assistance By Adopting And Using Electronic Health RecordsCJ Hsiao, AK Jha, J King, V Patel, MF Furukawa, F MostashariHealth Affairs, 2013, vol. 32, no. 8.

Adoption Of Electronic Health Records Grows Rapidly, But Fewer Than Half Of US Hospitals Had At Least A Basic System In 2012CM DesRoches, D Charles, MF Furukawa, MS Joshi, P Kralovec,

F Mostashari, C Worzala, AK JhaHealth Affairs, 2013, vol. 32, no. 8.

Page 4: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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EHR Definitions

• “Basic EHR”– Defined by expert panel prior to MU

– Does not correspond exactly to MU

• Some Stage 1 MU Core objectives not part of a “Basic EHR”

• Some “Basic EHR” functionalities not part of Stage 1 MU Core

– Nonetheless, useful for examining trends over time

Page 5: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Comparison of Basic EHR and MUMU Stage 1 Core Basic EHR: Physicians Basic EHR: Hospitals

Record demographics X X X

Maintain patient problem lists X X X

Maintain medication/allergy lists X X X

CPOE for prescriptions X X X

Discharge summaries* X X

E-prescribe** X

Record smoking status X

Record vital signs X

Provide warnings of drug interactions X

Provide patients clinical summaries** X

Clinical decision support X

Provide patients e-copy of health info X

Clinical quality measures X

Protect electronic health info X

Record clinical notes X X

View lab results X X

View imaging results X X

View diagnostic test results X

* EH only ** EP only

Page 6: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Physicians:Adoption and use of EHRs and MU capabilities

Page 7: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

2010 2011 20120

10

20

30

40

50

60

70

80

90

100

5157

72

25

3440

Perc

ent o

f Phy

sici

ans

Basic EHR system

Any EHR system

EHR Adoption among Office-Based Physicians: 2010-2012

Source: CJ Hsiao, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from the Electronic Health Records mail survey to the National Ambulatory Medical Care Survey, 2010-2012. Notes: Numbers are unadjusted. Any EHR system is a health record system that is all or partially electronic. Basic EHR systems have the following functionalities: recording patient demographic information, clinical notes, patient problem lists, and medication/allergy lists; viewing laboratory and imaging results; and using computerized prescription ordering.

Page 8: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Basic EHR Adoption by Physician and Practice Characteristics: 2010-2012

Specialty

Age

Practice size (# of physicians)

Practice ownership

Source: CJ Hsiao, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from the Electronic Health Records mail survey to the National Ambulatory Medical Care Survey, 2010 and 2012. Notes: Basic EHR adoption rates are predicted probabilities based on logistic regression controlling for physician, practice, and area characteristics.

Page 9: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Physician Basic EHR Adoption by Area Characteristics: 2010-2012

County metropolitan status

County poverty

Source: CJ Hsiao, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from the Electronic Health Records mail survey to the National Ambulatory Medical Care Survey, 2010 and 2012. Notes: Basic EHR adoption rates are predicted probabilities based on logistic regression controlling for physician, practice, and area characteristics.

Page 10: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Physician Adoption of Computerized Capabilities Related to Basic EHR and MU Stage 1 Core Objectives: 2010-2012

Source: CJ Hsiao, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from the Electronic Health Records mail survey to the National Ambulatory Medical Care Survey, 2010 and 2012. Notes: Percentages are unadjusted.

Page 11: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Physician Adoption and Use of Computerized Capabilities Related toBasic EHR and MU Stage 1 Core Objectives: 2012

Source: CJ Hsiao, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from the Electronic Health Records mail survey to the National Ambulatory Medical Care Survey, 2012. Notes: Percentages are unadjusted.

Page 12: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Hospitals:Adoption of EHRs and MU capabilities

Page 13: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Basic EHR Adoption among Hospitals: 2008-2012

Source: DesRoches, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from American Hospital Association, Annual Health InformationTechnology Supplemental Survey, 2012. Note: Analyses statistically weighted to account for potential nonresponse bias.

Page 14: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Basic EHR Adoption by Hospital Characteristics: 2010-2012

Source: DesRoches, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from American Hospital Association, Annual Health InformationTechnology Supplemental Survey, 2012. Note: Analyses statistically weighted to account for potential nonresponse bias. Major teaching hospitals are members of the Council of Teaching Hospitals. Minor teaching hospitals have either a medical school affiliation, as reported to the American Medical Association, or approval to participate in residency training from the Accreditation Council for Graduate Medical Education.

Size

Location

Profit status

Teaching status

Page 15: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Number of MU Stage 2 Core Objectives Adopted by Hospitals as of 2012

Source: DesRoches, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from American Hospital Association, Annual Health InformationTechnology Supplemental Survey, 2012. Note: Analyses statistically weighted to account for potential nonresponse bias.

Page 16: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

Hospital Adoption of Capabilities Associated with MU Stage 2 Core Objectives as of 2012

Source: DesRoches, et al. Health Affairs, 2013, vol. 32, no. 8. Analysis of data from American Hospital Association, Annual Health InformationTechnology Supplemental Survey, 2012. Note: Analyses statistically weighted to account for potential nonresponse bias.

Page 17: Health IT Policy Committee Meeting July 9, 2013 Data Analytics Update.

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Questions?


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