Laila Bayat
- Medicare patients, 2024
- 58
- Part D claims, 2024
- 73
- Affiliated sites
- 2
- Medical groups
- 2
- State license
- 1
- Practice address
- 6360 Hoadly Rd, Manassas, VA 20112
- Practice phone
- Call (866) 389-2727
- Professional email
- Get professional email
- Personal email
- Get personal email
- Mobile number
- Get mobile number
Primary practice
Minuteclinic Diagnostic of Virginia
Manassas, Virginia
Find Laila Bayat's professional email, personal email and mobile number
Dmand AI checks each channel through healthcare-specific waterfall enrichment. See what is on file with a free account, with practice phones, licenses and affiliations.
Laila Bayat is a family nurse practitioner in Manassas, Virginia
Laila Bayat practices at Minuteclinic Diagnostic of Virginia in Manassas, Virginia.
Laila Bayat's NPI, 1821644873, was assigned on August 15, 2019. Laila Bayat graduated from George Washington University School of Medicine in 2019. Laila Bayat holds Virginia license 0024178004.
- NPI
- 1821644873NPI Registry (opens in a new tab)
- Medicare PAC ID
- 2961733134
- NPI enumeration date
- August 15, 2019
- NPI status
- Active
- Accepts Medicare assignment
- Yes
- Practice phone
- (866) 389-2727
- Professional email
- Get email
- Personal email
- Get email
- Mobile number
- Get number
- Sex
- Female
- Estimated age
- 33
- Medical school graduation
- 2019
Sources: NPPES NPI Registry (CMS); Dmand AI Professional Profile Data; Dmand AI Practice Data; and Doctors and Clinicians National Downloadable File (CMS)
Laila Bayat practices at Minuteclinic Diagnostic of Virginia in Manassas, Virginia
Laila Bayat's primary practice is Minuteclinic Diagnostic of Virginia, at 6360 Hoadly Rd, Manassas, VA 20112 in Prince William County. The practice phone is (866) 389-2727.
- Minuteclinic Diagnostic of Virginia6360 Hoadly Rd, Manassas, VA 20112 · Prince William CountyPhone(866) 389-2727
Sources: NPPES NPI Registry (CMS); and Dmand AI Practice Data
Laila Bayat is affiliated with 3 sites of care and 2 medical groups
Laila Bayat's primary practice is Minuteclinic Diagnostic of Virginia in Manassas, Virginia. The medical group on file is MinuteClinic. Dmand AI also links Laila Bayat to 2 more group practices and clinics and 1 medical group, each named with a free account.
Sources: NPPES NPI Registry (CMS); Dmand AI Practice Data; and Dmand AI Affiliation Data
Dmand AI tracks the EHR system at Laila Bayat's practice
Dmand AI tracks the electronic health record (EHR) system at each site where Laila Bayat practices, 2 sites in all. Vendor and product names are available with a free account.
| Site | EHR vendor and product |
|---|---|
| Minuteclinic Diagnostic of Virginia | Available with a free account |
| +2 more sites and 1 medical group | Available with a free account |
Source: Dmand AI Technology Install Data
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Laila Bayat is one of 4,876 family nurse practitioners in Virginia
Family is Laila Bayat's primary specialty in the NPI Registry, under taxonomy code 363LF0000X. Laila Bayat is licensed in Virginia.
Specialties and state licenses
- Family nurse practitioner, VirginiaPrimary
Family nurse practitioners near Laila Bayat
Counts of family nurse practitioners with a Dmand AI profile, by place and practice. Each opens the list.
Sources: NPPES NPI Registry (CMS); Dmand AI Professional Profile Data; and Dmand AI Peer Benchmarks
Laila Bayat treated 58 Medicare patients in 2024, average age 73
CMS counts 58 Medicare patients who saw Laila Bayat in 2024. The largest group is 65 to 74, with 37 patients. 71% of them have high cholesterol, and 50% have high blood pressure. Their average risk score is 0.74, where 1.00 is the Medicare average.
Across all payers, Dmand AI patient panel data puts Laila Bayat's median patient age at 29, with 64% women.
Laila Bayat's Medicare patients by age, 2024
CMS leaves out age groups with fewer than 11 patients.
Laila Bayat's Medicare patients by sex, 2024
- Women3866%
- Men2034%
Chronic conditions among Laila Bayat's Medicare patients, 2024
- High cholesterol71%
- High blood pressure50%
- Arthritis38%
- Anxiety21%
- Mood disorders21%
Share of Medicare patients with each condition. A patient can have several.
Laila Bayat's patients across all payers
Dmand AI patient panel data covers Medicare, Medicaid and commercial patients.
Patient panel by age, all payers
Median age 29
Patient panel by sex, all payers
- Women64%
- Men36%
Sources: Dmand AI Patient Panel Data; and Medicare Physician & Other Practitioners - by Provider (CMS), 2024 data
Laila Bayat wrote 73 Medicare Part D claims in 2024
In 2024, Laila Bayat wrote 73 Medicare Part D claims for 48 patients. 93% of them were for generic drugs.
Laila Bayat's Part D claims by kind of drug, 2024
- Generic68 claims93%
- Brand-name and other5 claims7%
Drug classes CMS tracks in Laila Bayat's Part D claims, 2024
- Antibiotics51%37 of 73 claims
Share of all Part D claims for each drug class CMS reports on. Classes with no claims are left out.
Source: Medicare Part D Prescribers - by Provider (CMS), 2024 data
How Laila Bayat takes part in Medicare
Laila Bayat accepts Medicare assignment, so Medicare's approved amount is taken as full payment.
- Accepts Medicare assignment
- Yes
Source: Doctors and Clinicians National Downloadable File (CMS)
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Laila Bayat graduated from George Washington University School of Medicine
Laila Bayat graduated from George Washington University School of Medicine in 2019.
- Medical school
Source: Dmand AI Professional Profile Data
Sources for Laila Bayat's profile data
| Data on this page | Source |
|---|---|
| NPI, name, sex, specialty and licenses | NPPES NPI Registry (CMS) (opens in a new tab)Dmand AI Professional Profile Data |
| Practice locations and phone | NPPES NPI Registry (CMS) (opens in a new tab)Dmand AI Practice Data |
| Primary practice, affiliations and health system | NPPES NPI Registry (CMS) (opens in a new tab)Dmand AI Practice DataDmand AI Affiliation Data |
| Medicare patients and the all-payer patient panel | Dmand AI Patient Panel DataMedicare Physician & Other Practitioners - by Provider (CMS) (opens in a new tab) |
| Part D prescribing | Medicare Part D Prescribers - by Provider (CMS) (opens in a new tab) |
| MIPS scores, telehealth, assignment and procedure percentiles | Doctors and Clinicians National Downloadable File (CMS) (opens in a new tab) |
| Training, board certification and memberships | Dmand AI Professional Profile Data |
| EHR at each practice site | Dmand AI Technology Install Data |
| Similar physicians | Dmand AI Affiliation Data |
Data last refreshed October 2026Report an inaccuracyRemove my information
FAQ
Frequently asked questions about Laila Bayat
Spotted something out of date? Email hello@dmand.ai and we will check the record. Contact details live in the free trial.
What is Laila Bayat's NPI number?
Laila Bayat's NPI number is 1821644873. It was assigned on August 15, 2019, and it is active in the NPI Registry.
What does Laila Bayat specialize in?
Laila Bayat is a family nurse practitioner in Manassas, Virginia. The primary specialty in the NPI Registry is Family Nurse Practitioner (taxonomy code 363LF0000X).
Where does Laila Bayat practice?
Laila Bayat practices at 6360 Hoadly Rd, Manassas, VA 20112. Laila Bayat's primary practice is Minuteclinic Diagnostic of Virginia in Manassas, Virginia. Dmand AI also links Laila Bayat to 2 group practices and clinics and 1 medical group.
What is Laila Bayat's office phone number?
The practice phone on file for Laila Bayat is (866) 389-2727.
What is Laila Bayat's medical license number?
Laila Bayat holds Virginia license 0024178004.
What medical group is Laila Bayat part of?
Laila Bayat is linked to MinuteClinic. Dmand AI links Laila Bayat to 1 more medical group.
Does Laila Bayat accept Medicare?
Yes. CMS lists Laila Bayat as accepting Medicare assignment.
How many Medicare patients does Laila Bayat see?
CMS counts 58 Medicare patients who saw Laila Bayat in 2024, with an average age of 73.
Where did Laila Bayat go to medical school?
Laila Bayat graduated from George Washington University School of Medicine in 2019.
How long has Laila Bayat been practicing?
Laila Bayat graduated from medical school in 2019, 7 years ago.
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