Mark Edward Bertsch, FNP

  • Port Jefferson, NY
  • Family nurse practitioner
NPI1649005620PAC ID4880128842
Medicare patients, 2024
39
Hospital affiliations
1
Medical group
1
State license
1
Year NPI issued
2024
Practice address
200 Belle Terre Road, Port Jefferson, NY 11777
Practice phone
Call (631) 474-6000
Professional email
Get professional email
Personal email
Get personal email
Mobile number
Get mobile number
Social profiles

Primary practice

Good Samaritan University Hospital St. Charles Campus

Hospital · Port Jefferson, New York

Find Mark Bertsch'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

Mark Edward Bertsch is a family nurse practitioner in Port Jefferson, New York

Mark Bertsch practices at Good Samaritan University Hospital St. Charles Campus in Port Jefferson, New York, part of Diocese of Rockville Centre.

Mark Bertsch's NPI, 1649005620, was assigned on September 7, 2024. Mark Bertsch holds New York license 354320.

NPI and contact details
Medicare PAC ID
4880128842
NPI enumeration date
September 7, 2024
NPI status
Active
Accepts Medicare assignment
Yes
Practice phone
(631) 474-6000
Professional email
Get email
Personal email
Get email
Mobile number
Get number
Sex
Male
Estimated age
28
Medical school graduation
2024

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

Mark Edward Bertsch practices at Good Samaritan University Hospital St. Charles Campus in Port Jefferson, New York

Mark Bertsch's primary practice is Good Samaritan University Hospital St. Charles Campus, at 200 Belle Terre Road, Port Jefferson, NY 11777 in Suffolk County. The practice phone is (631) 474-6000.

Source: Dmand AI Affiliation Data

Mark Edward Bertsch is affiliated with 1 site of care and 1 medical group

Mark Bertsch's primary practice is Good Samaritan University Hospital St. Charles Campus in Port Jefferson, New York, part of Diocese of Rockville Centre. The medical group on file is Southwest Suffolk Medical PC.

Sources: Dmand AI Affiliation Data; and Dmand AI Org Hierarchy Data

Dmand AI tracks the EHR system at Mark Edward Bertsch's practice

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

EHR by site
SiteEHR vendor and product
Good Samaritan University Hospital St. Charles CampusAvailable with a free account

Source: Dmand AI Technology Install Data

For health IT teams

See the EHR and IT leaders at every hospital where Mark Bertsch practices

Dmand AI maps EHR vendors, IT decision makers and buying committees across Diocese of Rockville Centre and 6.2K+ hospitals, with verified contacts in the same login.

Mark Edward Bertsch is one of 10,214 family nurse practitioners in New York

Family is Mark Bertsch's primary specialty in the NPI Registry, under taxonomy code 363LF0000X. Mark Bertsch is licensed in New York.

Specialties and state licenses

  • Family nurse practitioner, New YorkPrimaryLicense 354320 · taxonomy 363LF0000X

Family nurse practitioners near Mark Bertsch

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

Mark Edward Bertsch treated 39 Medicare patients in 2024, average age 75

CMS counts 39 Medicare patients who saw Mark Bertsch in 2024. The largest group is 75 to 84, with 17 patients. 75% of them have arthritis, and 75% have high blood pressure. Their average risk score is 1.11, where 1.00 is the Medicare average.

Across all payers, Dmand AI patient panel data puts Mark Bertsch's median patient age at 61, with 64% women.

Medicare patients, 202439
Average age75
Average risk score1.11

Mark Bertsch's Medicare patients by age, 2024

CMS leaves out age groups with fewer than 11 patients.

Mark Bertsch's Medicare patients by sex, 2024

  • Women2256%
  • Men1744%

Chronic conditions among Mark Bertsch's Medicare patients, 2024

  1. Arthritis75%
  2. High blood pressure75%
  3. High cholesterol75%
  4. Ischemic heart disease49%
  5. Anxiety46%
  6. Mood disorders38%
  7. Diabetes36%
  8. Atrial fibrillation28%

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

Mark Bertsch's patients across all payers

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

Patient panel by age, all payers

Median age 61

Patient panel by sex, all payers

  • Women64%
  • Men36%

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

How Mark Edward Bertsch takes part in Medicare

Mark Bertsch 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)

Sources for Mark Edward Bertsch'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 phoneDmand AI Affiliation Data
Primary practice, affiliations and health systemDmand 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)
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 Mark Edward Bertsch

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

What is Mark Edward Bertsch's NPI number?

Mark Edward Bertsch's NPI number is 1649005620. It was assigned on September 7, 2024, and it is active in the NPI Registry.

What does Mark Edward Bertsch specialize in?

Mark Edward Bertsch is a family nurse practitioner in Port Jefferson, New York. The primary specialty in the NPI Registry is Family Nurse Practitioner (taxonomy code 363LF0000X).

Where does Mark Edward Bertsch practice?

Mark Bertsch practices at 200 Belle Terre Road, Port Jefferson, NY 11777. Mark Bertsch's primary practice is Good Samaritan University Hospital St. Charles Campus in Port Jefferson, New York, part of Diocese of Rockville Centre.

What is Mark Edward Bertsch's office phone number?

The practice phone on file for Mark Bertsch is (631) 474-6000.

What is Mark Edward Bertsch's medical license number?

Mark Bertsch holds New York license 354320.

Which hospitals is Mark Edward Bertsch affiliated with?

Mark Bertsch practices at Good Samaritan University Hospital St. Charles Campus in Port Jefferson, New York.

What medical group is Mark Edward Bertsch part of?

Mark Bertsch is linked to Southwest Suffolk Medical PC.

Does Mark Edward Bertsch accept Medicare?

Yes. CMS lists Mark Bertsch as accepting Medicare assignment.

How many Medicare patients does Mark Edward Bertsch see?

CMS counts 39 Medicare patients who saw Mark Bertsch in 2024, with an average age of 75.

How long has Mark Edward Bertsch been practicing?

Mark Bertsch graduated from medical school in 2024, 2 years ago.

Selling to family practices?

See family nurse practitioners in New York 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)