Objective Data Dashboard Metrics Overview
Document Purpose:
To improve understanding of the Objective Data Dashboard’s (ODD) function, intent, and measures by providing simple descriptions of each ODD metric.
What is the ODD and how does it work?
The Objective Data Dashboard is a reporting function within the physician’s EMR that provides feedback on 14 common EMR (patient chart) data elements, which were established by a panel of 12
physicians. Using the ODD, the physician will be able to identify any gaps or issues in how data is being recorded in the EMR. Possible areas for consideration include: the problem list, patient
history, lifestyle, allergies, encounters, medications, and other data elements that are important to enabling proactive practice and quality of care. Meaningful Use Level 3 is determined by
meeting or exceeding the threshold for each of the 14 data elements. The thresholds are not targets, nor clinical guidelines, but are minimum levels that indicate common or frequent capture of
the data elements. The physician may determine that a higher rate of capture is suitable to the nature of their practice. In addition to the dashboard, the ODD produces a summative PDF report
confirming that the physician has achieved EMR MU3, which will be submitted for eligibility of the $3,000 sessional funding. Data never leaves the physician’s EMR – The physician maintains
complete autonomy over their EMR data. The details of metric scores should not be submitted, only the summative PDF report confirming MU3 achievement without divulging any specific metric
values.
How does the ODD relate to Post Implementation Support and funding?
Achievement of Meaningful Use Level 3 (MU3) is determined by an objective assessment using the ODD. Physicians who demonstrate (via the ODD) that they have achieved MU3 will submit the
PDF report to be eligible for a one-time sessional payment of $3,000 in recognition of the time out of practice required to achieve this level of EMR use.
Definitions:
• Metric: The measure which is displayed on the ODD. This is an automatically calculated ratio comprised of a numerator and a denominator, whose values are pulled from data within the
physician’s EMR database.
• Numerator: The value above the line in a fraction (e.g. in ¾, the numerator is 3). In the ODD, the numerator represents the data elements relevant to the metric in question.
• Denominator: The value below the line in a fraction (e.g. in ¾, the denominator is 4). In the ODD, the denominator represents the portion of the physician’s patient population to be measured
against (e.g. all active patients of a certain age group).
• Threshold: The minimum % that must be achieved for a particular metric in order to indicate meaningful use of that aspect of the EMR (e.g. 50% of patients in the denominator population
have the data in the numerator recorded). Thresholds are NOT targets, nor clinical guidelines; they are indicators that the data elements are being captured with baseline consistency for
complete patient charts. Metrics where coding is required but a standard coding system is not yet consistently available are assigned thresholds of 0% representing that they are important
metrics, but not yet applicable for MU3.
Quick Reference:
All metrics are calculated for the physician as the most responsible physician (MRP), meaning the primary care provider for the patient population.
Category Metric Numerator Values (data elements of focus) Denominator (population) MU3 Threshold
Demographics
Patient identification Identifying demographics: name, gender, DOB, PHN
Number of active patients with ≥ 1visit in 36 mo. 95%
Patient contact information Contact fields: Address, phone, postal code 90%
Patient status Number of active patients with at least one visit within 36 months Number of active patients who are not marked inactive 80%
Chart Summary
Problems/health concerns Problems/health concerns documented in problem list
Number of active patients with ≥ 1 visit in 36 mo.
40%
Problems coded Coded problems documented in problem list 30%
Allergies/Intolerances Allergies/intolerances documented 30%
Allergies coded Coded allergies documented 0%*
Encounter notes Encounter notes for visits documented 80%
Vaccinations/Immunizations Vaccinations documented 20%
Procedures Procedures documented (e.g. surgical, endoscopy) 30%
Procedures coded Coded procedures documented 0%*
Key Measure
Smoking status Smoking status documented Number of active patients with ≥ 1 visit in 36 mo. Age ≥ 13 y.o. 20%
Height/weight (BMI) Height and weight documented
Number of active patients with ≥ 1 visit in 36 mo. Age ≥ 21 y.o.
30%
Blood pressure Systolic and diastolic blood pressure documented 50%
Medications Prescriptions Prescriptions documented Number of active patients with ≥ 1 visit in 36 mo. 40%
Referrals Referrals made 20% * Set at 0% until a standard coding system is consistently available
NOTE: The “Threshold” is neither a target, nor a clinical guideline. It is an indicator that there is at least regular capture of the relevant data element occurring. For example, hypothetically it may be typical to
capture eye colour during all visits, but the threshold would be set at 80% in recognition that it isn’t always relevant, with 80% presence indicating that the physician knows how to capture eye colour in the EMR and
is doing so with some consistency. The physician must determine if a higher rate of capture is suitable to the nature of their practice.
Detailed Description of ODD Metrics:
Category Metric Numerator Description (discrete data elements of focus) Denominator Description (population)
MU3 Threshold
Simple Explanation (example): Related Post Implementation Support Assessment Workflow Description
Patient identification Number of patients with ID fields: • Patient name
• Patient gender
Number of patients with contact fields: • Postal code
• Geo-ID
• Contact information (e.g. phone number) 36 mo.
95% 95% or more of my active patients have recorded ID fields such as name, PHN, DOB so I can properly identify them.
Reg 1 - Our practice records all patient demographics in the EMR, using discrete (searchable) data where possible
Patient contact information 90% 90% or more of my patients have completed
demographic fields so I can locate them.
E.g. phone numbers, postal codes etc.
Reg 1 - Our practice records all patient demographics in the EMR, using discrete (searchable) data where possible
Patient status Number of active patients with one or more visit within 36 months Number of active patients who are not marked inactive
80% 80% or more of my patients who have had a visit within the
past 36 months are marked as active
Demonstrates accuracy of active patient panel
Reg 2 - Our practice ensures patients are indicated as having a primary provider and are assigned a status
Problem List/health concerns
Number of patients with a documented problem or health concern
Number of active patients with ≥ 1 visit in 36 mo.
40% 40% or more of my patients have a documented problem in the problem list
Indicates presence of data (any text) in the problem list
MS 2a - Recording/maintaining patient ‘problem’ lists using consistent and
accurate diagnostic (e.g. ICD-9 or SNOMED codes)
Problem List coded Number of patients with a documented problem using a code (ICD9 or SNOMED)
30% 30% or more of my patients have a coded problem documented in their problem list
Indicates presence of coded data (ICD9 code) in problem list
Allergies/Intolerances Number of patients with a documented allergy or intolerance 30% 30% or more of my patients have a documented allergy Indicates presence of data in the allergies
section of EMR,
does not include NKA (no known allergies)
MS 2f - Allergies/adverse events Allergies coded Number of patients with a documented allergy using a code 0%* What % of my patients have documented coded
allergies?
Indicates presence of coded data in the allergies section of
EMR
Encounter notes Number of encounter notes documented for active patients with one of more visits in 36 months
80% For 80% or more of visits with a patient I have documented an encounter
Indicates documentation of encounter notes for patient visits
MS 1 - I record all encounter notes in
my EMR
Category Metric Numerator Description (discrete data elements of focus) Denominator Description (population)
MU3 Threshold
Simple Explanation (example): Related Post Implementation Support Assessment Workflow Description
Vaccinations/Immunizations Number of patients with an immunization or vaccination documented
Number of patients with a documented procedure
36 mo.
20% 20% or more of my patients have a documented vaccination or immunization
Indicates presence of data in the immunizations section of the EMR
MS 2g - Immunizations; where possible including historical, source (e.g. public health, pharmacy) and BCCDC guideline-based information such as lot #, batch #, expiry, manufacturer, etc.
Procedures 30% 30% or more of my patients have a documented
procedure Indicates presence of data in the
procedures area of EMR (e.g. surgical procedures)
MS 2b - History: medical, surgical
Procedures coded Number of patients with a documented coded procedure 0%* What % of my patients have a documented coded procedure? Coded procedures would be for
example a surgical procedure such as hysterectomy coded with an ICD9 code 68
Smoking status Number of patients with a documented smoking status Number of active patients with ≥ 1 visit in 36 mo. Age ≥ 13 y.o.
20% 20% or more of my patients above the age of 13.y.o have a documented smoking status
Indicates documented smoking status, in whichever way the EMR records it
MS 2d - Social & lifestyle details entered in a consistent manner
Height/weight (BMI) Number of patients with a documented height and weight or BMI
Number of patients with a documented blood pressure measure (sys/dia)
36 mo. Age ≥ 21 y.o.
30% 30% or more of my patients above the age of 13.y.o have a documented height and weight
Indicates presence of discrete measures (data) for height and weight. BMI is a calculated measure using height and weight
MS 4 - Our practice enters patient clinical information such as measures (e.g. blood
pressure, height, weight etc.) in our EMR in a consistent manner using discrete (searchable) data
Blood pressure 50% 50% or more of my adult patients have a recorded
blood pressure
Indicates presence of discrete measures (data) for blood pressure
Prescriptions Number of patients with a documented prescription Number of active patients with ≥ 1 visit in 36 mo.
40% 40% or more of my patients have a documented prescription Indicates presence of coded
prescription selected from the formulary using the prescription writer of the EMR
Med 1 - I create all new point-ofcare formulary-based prescriptions, including renewals, in my EMR as discrete (searchable) data
Category Metric Numerator Description (discrete data elements of focus)
Denominator
Description (population) MU3 Threshold
Simple Explanation (example): Related Post Implementation Support Assessment Workflow Description Recall reminders Number of patients with a documented recall
reminder
Number of active patients with ≥ 1visit in 36 mo.
20% For 20% or more of my patients, I am using recall reminders
Indicates the use of recall reminders
Prev 1 - Our practice uses an EMRbased recall system for routine screening
Referrals Number of patients with a documented referral 20% For 20% or more of my patients, I am using the referral function
Indicates documented referrals
Ref 1 - I create all my referrals in the EMR, which are pre-populated with and/or attach clinical data from the patient’s chart
