Dropdown Test - Practice Dashboard
This article provides an overview of the Practice Pod within Jiro. Below you will find a brief overview, how it adds value to your practice, key features & capabilities, how it works, limitations and considerations, troubleshooting information, and FAQs. Related questions and version history are found at the bottom of the page.
Updated: 03/05/2026
What is the Practice Pod
The Practice Pod is your personalized clinical performance dashboard within the Jiro Health platform. It gives you a clear, data-driven picture of how you practice medicine ranging from medication adherence and prescribing patterns to patient outcomes and referral trends, all compared to your peers across the country.
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 into how your patients are doing and how your clinical decisions compare to physicians with similar specialties, patient panels, and practice settings.
How Practice Brings Value to You
The Practice Pod is built around a simple idea: when clinicians can see their own performance data clearly and fairly, they are empowered to make better decisions for their patients and their practice.
What this means for you
- Understand how your prescribing patterns, referral behaviors, and patient outcomes compare to peers in your specialty, region, and facility.
- Identify areas where your patients may be falling behind, such as low medication adherence or high polypharmacy risk, so you can intervene proactively.
- Receive personalized Spotlights that surface the most relevant, data-backed insights for your specific patient panel.
- Track your progress over time with trend lines showing whether key metrics are improving, staying stable, or declining.
- Make the case for changes in your practice with objective, peer-benchmarked data.
What this means for your organization
Key Features & Capabilities
The Practice Pod brings together several powerful features in a single dashboard view:
| Feature | What it Does |
|---|---|
| Metric Cards | Provides a summary of your key clinical performance indicators such as medication adherence, generic prescribing rate, polypharmacy risk, among many more. |
| Drill-Down View | Click any metric card to explore a detailed breakdown, including a time trend chart, peer comparison bar chart, and patient cohort breakdowns by demographics and insurance type. |
| Spotlights | Algorithmically curated highlights pushed to you weekly, surfacing the most statistically significant insights from your data. Spotlights come in three types: top or bottom 15% of a metric, a change of >10% month-over-month of growth, or being in the top percentage of a diagnosis, procedure, or prescription within your state or nationally. |
| Peer Comparisons | See how your scores stack up against your facility average, state average, and national average within your specialty. Provides alerts if you rank in the top 15% of your state or national peer group. |
| Patient Cohort Breakdowns | Understand how your metric results vary across patient demographics (age, gender, insurance type) and clinical subgroups. |
| Referral Section | Visualize your inbound and outbound patient flow to identify top referring providers, facilities, and systems. View your average time from referral to visit. Surface missed opportunities and financial impact by viewing regional providers who refer diagnoses you treat elsewhere. |
| Time Trend Analysis | Track any metric over time to see whether you are improving, stable, or moving in the wrong direction. Trend Breaks notify you of a 10% or greater change in a specific metric month-over-month. |
| Metric Favorites | Select and prioritize the metrics most relevant to your specialty and practice style. |
How it Works
The Practice Pod works by pulling in your real-world claims data, processing it through a set of validated clinical calculation rules, and then presenting the results in a way that is easy to understand at a glance.
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 month of data may not always be reflected immediately.
Step 4: Metric Calculation
- Each metric is calculated using defined clinical rules. For example, medication adherence is calculated as the proportion of days a patient's chronic medication was covered (based on prescription fill data) over a defined time window (quarter or full year).
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. These are short, plain-language summaries delivered on a weekly cadence.
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.
Considerations & Limitations
We want to be transparent about the boundaries of what the Practice Pod can and cannot tell you. Claims data is a powerful lens, but it is not a perfect representation of your clinical practice.
Claims Data Lag
- Most claims take 30 to 90 days to be submitted and processed. This means your most recent patient encounters may not appear in your metrics yet. The platform displays the most current available data.
Not All Activity is Captured
- Claims data only reflects billable encounters and prescriptions. Informal conversations, care coordination calls, or non-billed activities are not included.
Small Patient Panels
- If you have a relatively small number of patients, your metric values may appear more extreme (higher or lower than peers). The platform includes sample size indicators (shown as 'N') to help you interpret results in context.
Referral Data is Directional
- The Referral tool currently tracks completed referrals where both a "from" and "to" claim are matched.
Generic vs. Brand Data Gaps
- Some prescriptions may have incomplete or inconsistent National Drug Code (NDC) mappings, which can affect the accuracy of metrics like Generic vs. Brand Share. This is being actively investigated and improved.
Deceased or Hospitalized Patients
- Certain metrics (like medication adherence) exclude patients who passed away or were hospitalized during the measurement period, which may affect your denominator.
Specialty Comparisons
- Peer comparisons are made within your specialty. If your specialty grouping is very broad or your patient mix is unusual, benchmark comparisons may be less precise.
Troubleshooting
If you are experiencing issues with the Practice Pod, the following guide covers the most common scenarios and what to do about them:
| Issue | What to Do |
|---|---|
| My metric value seems too high or too low | Check the 'N' (sample size) indicator on the metric. If your patient panel is small, values may appear more extreme than peers. Also check whether a Data Quality Flag is shown. If the issue persists, use the feedback button to report it. |
| My time trend is missing or incomplete | Trend data requires at least two comparable time periods to display. If you are newly on the platform or have limited claims history, the trend chart may be sparse. This will fill in over time as more data becomes available. |
| My peer comparison label are incorrect | If the peer group labels, such as 'Facility Average' or 'State Average' look wrong or mismatched, please report this using the in-app feedback button. Our team is actively working to make these labels dynamic and accurate. |
| A Metric I expect to see is not appearing | Some metrics are specialty-specific and may not appear if they are not relevant to your practice type. If you believe a metric should be visible, use the in-app feedback button. |
| My Referral Data does not 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. If there is a significant discrepancy, reach out to our support team via the feedback button. |
| The Dashboard is loading slowly | Performance improvements are ongoing. If you experience consistent slowness, try refreshing your browser or accessing the platform during off-peak hours. If the issue continues, let us know using the feedback button. |
| Time Trend Analysis | Track any metric over time to see whether you are improving, stable, or moving in the wrong direction. Trend Breaks notify you of a 10% or greater change in a specific metric month-over-month. |
| I do not see any Data at all | This may occur if your NPI has not yet been matched in our claims dataset. Please contact the Jiro Health support team and we can investigate your account configuration. |
Frequently Asked Questions
Below is a list of frequently asked questions related to Practice:
How often is my data updated?
Your Practice Pod metrics are refreshed regularly as new claims data is made available by our data provider. 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. This is a validated method (called Proportion of Days Covered, or PDC) used widely in quality measurement. It may differ from your clinical perception 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. A higher N means your result is based on a larger sample and is generally more reliable. If your N is very small (fewer than 10 patients), the metric value may appear more extreme and should be interpreted with extra caution.
Are my peers seeing my data?
No. Your individual metric scores are visible only to you when you are logged in to the Jiro Health platform. Peer comparison data shown to you is anonymized and aggregated. No other physician can identify your individual results from what they see in their dashboard.
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. The platform is designed to ensure that you are always compared to the most relevant group available. Some comparison groups (such as facility-level peers) may not be shown if there are fewer than 10 physicians in that group, to protect the integrity of the comparison.
What is a Spotlight and how is it chosen?
A Spotlight is a short, data-backed insight generated from your claims data that the platform determines is especially relevant or statistically significant for you. 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, then providing a variety of results and good scores. The last step is applying Spotlights to metrics tied to your speciality and selected by you. 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 and, for supported specialties, a default set of metrics is pre-selected based on what is most relevant for your specialty. You can customize this selection 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. Your feedback is reviewed by the Jiro Health team and used to identify and resolve data issues. 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?
This should not happen, but if you believe you are seeing data incorrectly attributed to you or another provider, please contact Jiro Health support immediately so we can investigate your account and ensure your NPI attribution is correct.