Practice Dashboard: Overview
Your personal clinical performance dashboard in Jiro.
- What is the Practice Pod?
- How Practice Brings Value to You
- Key Features
- How it Works
- Considerations & Limitations
- Troubleshooting
- FAQs
Practice is your personalized clinical performance dashboard. It gives you a clear, data-driven picture into how your patients are doing and how your clinical decisions compare to physicians with similar specialties, patient panels, and practice settings.
At a Glance
- Metric Cards, tailored to your specialty
- Weekly curated Spotlights, surfacing significant data
- Peer comparisons
- Inbound and outbound patient flow through Referrals
- Time trend analyses of your data
1. What is the Practice Pod?
The Practice Pod is home to your clinical performance and data within Jiro. On the dashboard, you are provided a clear, data-driven picture or your practice through Metrics Cards, Spotlights, and Referrals.
Think of it as a mirror for your practice. Rather than relying on gut feeling or year end summaries, the Practice Pod gives you near real-time insight.
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2. What You Can Do With Practice
Understand Your Patterns
Jiro prescribing patterns, referral behaviors, and patient outcomes compare to peers in your specialty, region, and facility.
Utilize Metric Cards
Metric cards are specialty specific key performance indicators. Each metric includes the following:
View Spotlights
Receive personalized weekly Spotlights that surface the most relevant, data-backed Insights for your patient panel.
Patient Cohort Monitoring
Identify areas where your patients may be falling behind, such as low medication adherence or high poly-pharmacy risk, so you can intervene proactively.
Referral Patterns
Drive revenue growth by learning about your referral patterns and potential opportunities you may be missing.
Time Trend Analysis
Track your progress over time with trend lines showing whether key metrics are improving, staying stable, or declining.
Practice is your home within Jiro, personalized to you based on your specialty and preferences.
3. Key Features
| Feature | What is Does |
|---|---|
| Metric Cards | Specialty driven key clinical performance indicators. |
| Drill-Down View | Detailed breakdown of a Metric, including .... |
| Spotlights | Weekly personalized Insights from your data that are statistically significant. Spotlights come in three types: Top/Bottom 15% of a Metric, >10% month-over-month growth, or being in the top percentage of a Metric at the state or national level. |
| Peer Comparisons | Comparisons against your facility average, state average, and national average within your specialty. |
| Patient Cohort Breakdowns | Understand how your Metric results vary across patient demographics and clinical subgroups. |
| Referral Section | Visualize your inbound and outbound patient flow to identify top referring providers, facilities, and systems along with your average time from referral to visit. |
| Time Trend Analysis | Track the change in your Metrics over time. |
| Metric Favorites | Select and prioritize the metrics most relevant to your specialty and practice style. |
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4. How it Works
Step 1: Data Collection
Claims data from your patients is sourced from a third-party data provider and ingested into the Jiro Health platform on a regular basis.
Step 2: Attribution
Patients and their associated prescriptions, encounters, and referrals are attributed to you using your National Provider Identifier (NPI). Only patients linked to your NPI are included in your metrics.
Step 3: Data Refresh
Metrics and Spotlights are refreshed regularly as new claims data becomes available. Because claims data has a natural lag (typically 30 to 90 days), your most recent months of data may not always be reflected immediately.
Step 4: Metric Calculation
Each metric is calculated using defined clinical rules.
Step 5: Peer Benchmarking
Your scores are compared against anonymized data from peer physicians. The comparison groups are determined by factors like specialty, facility, state, and national averages, and are adjusted to ensure meaningful comparisons.
Step 6: Spotlights
The platform automatically identifies the most statistically relevant Insights from your data and surfaces them as Spotlights.
Step 7: Referral Matching
The system matches "from" and "to" claims to validate a referral has been completed and calculate the transit time for that patient.
Step 8: Specialty Filtering
Metrics are filtered based on the clinician's primary specialty to ensure the data is relevant to their specific field of medicine.
All data shown in Practice is based on claims data. It does not capture every clinical interaction.
5. Data Sources & Refresh Cadence
Where Content Comes From
- Medical claims data (including both open and closed claims) attached to your NPI
How Often It Updates
- Metrics update every XX days
- Spotlights resurface on a weekly cadence
- Referrals update.....
Known Gaps or Delays
- Medical claims data has a natural lag ranging from 30-90 days
- Extended delays?
6. Limitations
- Not all activity is captured, claims data only reflects billable encounters and prescriptions
- If you have a relatively small number of patients, your metric values may appear more extreme or not appear initially
- The Referral tool tracks completed referrals where both a “from” and “to” claim are matched
- Prescriptions may have incomplete or inconsistent National Drug Code (NDC) mappings, which can affect the accuracy of metrics like Generic vs. Brand Share
- Certain metrics exclude patients who passed away or were hospitalized during the measurement period, which may affect your denominator
- If your specialty grouping is very broad or your patient mix is unusual, peer benchmark comparisons may be less precise
7. Troubleshooting
| Issue | What to Do |
|---|---|
| I don't see any data | This may occur if your NPI has not yet been matched in our claims dataset. Use the feedback button for assistance. |
| My metric value seems too high or low | Check the 'N' (sample size) indicator on the metric. Also check whether a Data Quality Flag is shown. Use the feedback button for further help. |
| My time trend is missing or incomplete | If you are newly on the platform or have limited claims history, the trend chart may be sparse. |
| My peer comparison labels are incorrect | If the peer group labels look wrong or mismatched, please report this using the in-app feedback button. |
| A metric I expect to see isn't appearing | Some metrics are specialty-specific. If you believe a metric should be visible to you, use the in-app feedback button. |
| My referral data doesn't match what I expect | Referral data is inferred from claims patterns and may not capture every referral. It is best used as a directional indicator. |
| The dashboard is loading slowly | If you experience consistent slowness, try refreshing your browser or accessing the platform during off-peak hours. |
8. Frequently Asked Questions
How often is my data updated?
Because insurance claims can take 30 to 90 days to be fully processed, there is always some lag between when care was delivered and when it appears in your dashboard. We display the most current data we have at the time of each refresh.
Why does my Medication Adherence Rate look different from what I'd expect?
Medication adherence in the Practice Pod is calculated using prescription fill data from claims specifically, how many days of a chronic medication were covered over a defined period. It may differ because claims only capture filled prescriptions, not whether a patient actually took their medication.
What does 'N' mean on my Metric Cards?
'N' represents the number of patients included in the calculation for that metric. Smaller values may lead to Metrics being more extreme or volatile.
Are my peers seeing my data?
Your individual metric scores are visible only to you. Peer comparison data shown to you is anonymized and aggregated.
Why am I being compared to certain peer groups?
Peer groups are defined using a combination of factors including your specialty, the state you practice in, your facility type, and where enough data exists to create a meaningful comparison.
What is a Spotlight and how is it chosen?
Spotlights are prioritized based on factors such as being in the top or bottom 15% nationally, within your state or in your facility, a >10% month-over-month or two months of growth, or being in the top percentage of a diagnostic, procedure, or prescription on the state or national levels. Results are then surfaced to you by prioritizing scores that are furthest from the mean or median. We aim to provide three or four new spotlights a week.
Can I select which metrics I want to see?
Yes. The Practice Pod allows you to favorite specific metrics in your settings.
What should I do if I think a metric is wrong?
Use the thumbs up/down feedback button available on every metric card and drill-down view. You can also reach out to our support team directly with specific concerns.
Is this data used for insurance or employer reporting?
No. The data in the Practice Pod is for your personal clinical use only. It is not shared with insurance companies, employers, or any external parties for performance evaluation or credentialing purposes.
What should I do if I'm seeing data that seems to belong to another physician?
If you believe you are seeing data incorrectly attributed to you please contact Jiro Health support immediately.
9. Related Articles
10. Version History
Updated: 03/11/2026
Reviewed by: [Name, Title]
Approved by: [Name, Title]