Anna Alkozei, PhD

  • Tucson, AZ
  • Psychologist
NPI1396486023PAC ID2163800715
Medicare patients, 2024
16
MIPS score, 2024
93
Hospital affiliations
1
Medical groups
2
State license
1
Practice address
1501 N Campbell Ave, Tucson, AZ 85724
Practice phone
Call (520) 626-2761
Professional email
Get professional email
Personal email
Get personal email
Mobile number
Get mobile number
Social profiles

Primary practice

University of Arizona

Tucson, Arizona

See all 4 affiliations

Find Anna Alkozei'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.

View contacts for free

Anna Alkozei is a psychologist in Tucson, Arizona

Anna Alkozei practices at University of Arizona in Tucson, Arizona.

Anna Alkozei's NPI, 1396486023, was assigned on April 5, 2022.

NPI and contact details
Medicare PAC ID
2163800715
NPI enumeration date
April 5, 2022
NPI status
Active
Accepts Medicare assignment
Yes
Practice phone
(520) 626-2761
Professional email
Get email
Personal email
Get email
Mobile number
Get number
Sex
Female
Estimated age
38
Medical school graduation
2014

Sources: NPPES NPI Registry (CMS); Dmand AI Professional Profile Data; Dmand AI Practice Data; and Doctors and Clinicians National Downloadable File (CMS)

Anna Alkozei practices at University of Arizona in Tucson, Arizona

Anna Alkozei's primary practice is University of Arizona, at 1501 N Campbell Ave, Tucson, AZ 85724 in Pima County. The practice phone is (520) 626-2761.

  • University of Arizona
    1501 N Campbell Ave, Tucson, AZ 85724 · Pima CountyPhone(520) 626-2761

Sources: NPPES NPI Registry (CMS); and Dmand AI Practice Data

Anna Alkozei is affiliated with 2 sites of care and 2 medical groups

Anna Alkozei's primary practice is University of Arizona in Tucson, Arizona. Anna Alkozei is also affiliated with Banner - University Medical Center South. The medical group on file is Banner Medical Group. Dmand AI also links Anna Alkozei to 1 more medical group, named with a free account.

See all 4 affiliations for Anna Alkozei

Sources: NPPES NPI Registry (CMS); Dmand AI Practice Data; Dmand AI Affiliation Data; and Dmand AI Org Hierarchy Data

Dmand AI tracks the EHR system at Anna Alkozei's practice

Dmand AI tracks the electronic health record (EHR) system at each site where Anna Alkozei practices. Vendor and product names are available with a free account.

EHR by site
SiteEHR vendor and product
University of ArizonaAvailable with a free account
+1 more site and 1 medical groupAvailable with a free account

Source: Dmand AI Technology Install Data

For health IT teams

See the EHR and IT leaders at every site where Anna Alkozei practices

Dmand AI maps EHR vendors, IT decision makers and buying committees across each health system and 6.2K+ hospitals, with verified contacts in the same login.

Anna Alkozei is one of 166 psychologists in Arizona

Psychologist is Anna Alkozei's primary specialty in the NPI Registry, under taxonomy code 103T00000X.

Specialties and state licenses

  • PsychologistPrimarytaxonomy 103T00000X

Psychologists near Anna Alkozei

Counts of psychologists 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

Anna Alkozei treated 16 Medicare patients in 2024, average age 72

CMS counts 16 Medicare patients who saw Anna Alkozei in 2024. 75% of them have mood disorders, and 69% have depression. Their average risk score is 0.92, where 1.00 is the Medicare average.

Across all payers, Dmand AI patient panel data puts Anna Alkozei's median patient age at 46, with 71% women.

Medicare patients, 202416
Average age72
Average risk score0.92

Chronic conditions among Anna Alkozei's Medicare patients, 2024

  1. Mood disorders75%
  2. Depression69%

Share of Medicare patients with each condition. A patient can have several.

Anna Alkozei's patients across all payers

Dmand AI patient panel data covers Medicare, Medicaid and commercial patients.

Patient panel by age, all payers

Median age 46

Patient panel by sex, all payers

  • Women71%
  • Men29%

Sources: Dmand AI Patient Panel Data; and Medicare Physician & Other Practitioners - by Provider (CMS), 2024 data

Anna Alkozei scored 93 out of 100 in Medicare's MIPS program for 2024

CMS publishes a Merit-based Incentive Payment System (MIPS) score of 93 out of 100 for Anna Alkozei for performance year 2024, reported through an alternative payment model (APM). Anna Alkozei accepts Medicare assignment, so Medicare's approved amount is taken as full payment.

Accepts Medicare assignment
Yes

Anna Alkozei's MIPS scores, performance year 2024

  • 93of 100Final score
  • 74.6of 100Quality
  • 99of 100Promoting Interoperability
  • 40of 100Improvement Activities

Each score is out of 100. The final score weighs the categories CMS scored for this clinician.

Sources: Doctors and Clinicians National Downloadable File (CMS); and Clinician Public Reporting: Overall MIPS Performance (CMS), 2024 data, released September 10, 2026

Sources for Anna Alkozei's profile data

Sources for the data on this page
Data on this pageSource
NPI, name, sex, specialty and licensesNPPES NPI Registry (CMS) (opens in a new tab)Dmand AI Professional Profile Data
Practice locations and phoneNPPES NPI Registry (CMS) (opens in a new tab)Dmand AI Practice Data
Primary practice, affiliations and health systemNPPES NPI Registry (CMS) (opens in a new tab)Dmand AI Practice DataDmand AI Affiliation DataDmand AI Org Hierarchy Data
Medicare patients and the all-payer patient panelDmand AI Patient Panel DataMedicare Physician & Other Practitioners - by Provider (CMS) (opens in a new tab)
MIPS scores, telehealth, assignment and procedure percentilesDoctors and Clinicians National Downloadable File (CMS) (opens in a new tab)Clinician Public Reporting: Overall MIPS Performance (CMS) (opens in a new tab)
EHR at each practice siteDmand AI Technology Install Data
Similar physiciansDmand AI Affiliation Data

Data last refreshed October 2026Report an inaccuracyRemove my information

FAQ

Frequently asked questions about Anna Alkozei

Spotted something out of date? Email hello@dmand.ai and we will check the record. Contact details live in the free trial.

What is Anna Alkozei's NPI number?

Anna Alkozei's NPI number is 1396486023. It was assigned on April 5, 2022, and it is active in the NPI Registry.

What does Anna Alkozei specialize in?

Anna Alkozei is a psychologist in Tucson, Arizona. The primary specialty in the NPI Registry is Psychologist (taxonomy code 103T00000X).

Where does Anna Alkozei practice?

Anna Alkozei practices at 1501 N Campbell Ave, Tucson, AZ 85724. Anna Alkozei's primary practice is University of Arizona in Tucson, Arizona. Dmand AI also links Anna Alkozei to 1 medical group.

What is Anna Alkozei's office phone number?

The practice phone on file for Anna Alkozei is (520) 626-2761.

Which hospitals is Anna Alkozei affiliated with?

Anna Alkozei is affiliated with Banner - University Medical Center South.

What medical group is Anna Alkozei part of?

Anna Alkozei is linked to Banner Medical Group. Dmand AI links Anna Alkozei to 1 more medical group.

Does Anna Alkozei accept Medicare?

Yes. CMS lists Anna Alkozei as accepting Medicare assignment.

What is Anna Alkozei's MIPS score?

Anna Alkozei's MIPS final score for performance year 2024 is 93 out of 100, reported through an alternative payment model (APM).

How many Medicare patients does Anna Alkozei see?

CMS counts 16 Medicare patients who saw Anna Alkozei in 2024, with an average age of 72.

How long has Anna Alkozei been practicing?

Anna Alkozei graduated from medical school in 2014, 12 years ago.

Selling to psychologist practices?

See psychologists in Arizona by site of care and group

Find the practices, groups and hospitals they work with, and the right people to contact at each.

  • 30 days free
  • Self-serve
  • No credit card

Cookie settings

Turn each category on or off. Your choice is kept for 12 months and you can change it here at any time.

Necessary

Always on. Sign-in, security, downloads you asked for, your cookie choice, and the page that led to a signup.

View cookies (6)
  • dm_consentDmand AI. Your cookie choices and whether your browser sent a Global Privacy Control signal. 12 months.
  • dm_ft, dm_ltDmand AI. The first and the latest page you arrived on, with the date, so a signup is credited to the page that worked. 90 days, 30 days.
  • dm_fs, dm_lsDmand AI. The first and the latest source of a visit (a search engine, a campaign or the site that linked here). 90 days, 30 days.
  • dm_dl, dm_dl_okDmand AI. After you give an email address for a download, lets you download files without being asked again. 30 days.
  • Session and CSRF cookiesDmand AI (app.dmand.ai). Sign-in and form protection in the application. Session.
  • __cf_bm, cf_clearanceCloudflare. Tells people from automated traffic and keeps the site available. 30 minutes; cf_clearance while a security check is valid.

Analytics

On unless you turn it off. How pages are used, in aggregate, and recordings of how pages are used.

View cookies (6)
  • Google Tag ManagerGoogle. Loads the analytics and marketing tags that are on. Sets no cookie of its own and does not load when both categories are off. n/a.
  • _ga, _ga_<container-id>Google Analytics 4. Visits and page views in aggregate on dmand.ai. 2 years.
  • _clck, _clskMicrosoft Clarity. Recordings and heatmaps of how pages are used, with form fields masked. 1 year, 1 day.
  • CLID, MUID, ANONCHK, MR, SMMicrosoft (clarity.ms). Set by Microsoft when Clarity loads, to recognize a browser across sites that use Clarity. Up to 1 year.
  • None (cookieless)Ahrefs Analytics. Page views in aggregate. n/a.
  • ph_<project>_posthogPostHog. Product usage, errors and performance in app.dmand.ai, used to fix bugs and improve features. 365 days.

Marketing

On unless you turn it off, and always off when your browser sends a Global Privacy Control signal. A visitor identification service tells our sales team which companies and people visit.

View cookies (6)
  • _reb2buid, _reb2butkRB2B. Recognizes a returning browser for visitor identification. 360 days, 1 year.
  • _reb2bgeoRB2B. The location used to decide whether a visit can be identified. 20 days.
  • _reb2brefRB2B. The page or site that referred the visit. 15 days.
  • _reb2bfxf, _reb2btd, _reb2bliRB2B. Links the visit to an identified business profile. 1 month.
  • _reb2bresolveRB2B. Holds a match while it is being resolved. 2 days.
  • _reb2sessionID, _reb2bloadedRB2B. The current visit, and a guard against loading the script twice. 30 minutes, 1 second.

Functional

On unless you turn it off. Remembers choices such as a collapsed section.

View cookies (none today)