Correlated gene modules uncovered by high-precision single-cell transcriptomics (opens in a new tab)
Proc Natl Acad Sci U S A
Primary practice
Find Dr. Lee'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.
Dr. Lee practices at Brigham and Women's Hospital in Boston, Massachusetts, part of Mass General Brigham.
Dr. Lee's NPI, 1588195390, was assigned on March 23, 2017. Dr. Lee holds Massachusetts license 281702.
Sources: NPPES NPI Registry (CMS); Dmand AI Professional Profile Data; Dmand AI Affiliation Data; and Doctors and Clinicians National Downloadable File (CMS)
Dr. Lee's primary practice is Brigham and Women's Hospital, at 75 Francis Street, Boston, MA 02115 in Suffolk County. The practice phone is (617) 732-5500.
Source: Dmand AI Affiliation Data
Dr. Lee's primary practice is Brigham and Women's Hospital in Boston, Massachusetts, part of Mass General Brigham. Dr. Lee is also affiliated with Dana-Farber Cancer Institute. The medical group on file is Massachusetts General Physicians Organization (MGPO). Dmand AI also links Dr. Lee to 2 more hospitals, 4 medical groups and 1 hospital outpatient department, each named with a free account.
Sources: Dmand AI Affiliation Data; and Dmand AI Org Hierarchy Data
Dmand AI tracks the electronic health record (EHR) system at each site where Dr. Lee practices, 5 sites in all. Vendor and product names are available with a free account.
| Site | EHR vendor and product |
|---|---|
| Brigham and Women's Hospital | Available with a free account |
| +4 more sites and 4 medical groups | Available with a free account |
Source: Dmand AI Technology Install Data
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Dmand AI maps EHR vendors, IT decision makers and buying committees across Mass General Brigham and 6.2K+ hospitals, with verified contacts in the same login.
Internal medicine is Dr. Lee's primary specialty in the NPI Registry, under taxonomy code 207R00000X. Dr. Lee is licensed in Massachusetts.
Counts of internists 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
CMS data shows 365 Medicare services from Dr. Lee across 7 procedure codes in 2024, for 165 Medicare patients. Medicare paid $28,649 for them. Every service was in a facility, such as a hospital, rather than an office.
Medians across 5,369 internists in Massachusetts with Dmand AI profiles that report each measure.
CMS publishes codes billed for 11 or more Medicare patients. Each label is the code family; CPT descriptions are licensed by the AMA.
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Sources: Medicare Physician & Other Practitioners - by Provider and Service (CMS), 2024 data; and Dmand AI Peer Benchmarks
CMS counts 165 Medicare patients who saw Dr. Lee in 2024. The largest group is 75 to 84, with 58 patients. 75% of them have high blood pressure, and 75% have high cholesterol. 38% are also on Medicaid. Their average risk score is 2.80, where 1.00 is the Medicare average, so they are sicker than most Medicare patients.
Across all payers, Dmand AI patient panel data puts Dr. Lee's median patient age at 74, with 49% women.
Share of Medicare patients with each condition. A patient can have several.
Dmand AI patient panel data covers Medicare, Medicaid and commercial patients.
Median age 74
Sources: Dmand AI Patient Panel Data; and Medicare Physician & Other Practitioners - by Provider (CMS), 2024 data
In 2024, Dr. Lee wrote 36 Medicare Part D claims for 12 patients. 81% of them were for generic drugs. CMS names the drug for 11 of them, across 1 drug with 11 or more claims each, at $159 in total drug cost. In 2018, CMS named 11 claims across 1 drug.
CMS names a drug when it has 11 or more claims. Share is of the claims for drugs CMS names.
Drugs named by CMS: 1 in 2019, 1 in 2018.
Sources: Medicare Part D Prescribers - by Provider and Drug (CMS), 2024 data, released May 6, 2026; and Medicare Part D Prescribers - by Provider (CMS), 2024 data
Dr. Lee accepts Medicare assignment, so Medicare's approved amount is taken as full payment.
Source: Doctors and Clinicians National Downloadable File (CMS)
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Dmand AI links 2 papers to Dr. Lee, published from 2016 to 2022. Dr. Lee's most frequent co-author is Jenny Lu, MD, PhD.
Proc Natl Acad Sci U S A
See who Dr. Lee researches with
Physician Network Discovery turns co-authorship, shared hospitals and shared groups into a map of who Dr. Lee works with, so you can find a warm path to the right internists.
Sources: PubMed (National Library of Medicine); and Dmand AI Research Linkage
CMS Open Payments shows 2 general payments to Dr. Lee from 2 drug and device companies from 2019 to 2024. Education make up the largest share, 89% of the total. Janssen Pharmaceuticals, Inc paid the most, $100.
Share is of all general payments to this clinician.
Source: Open Payments (CMS), 2025 data, released July 7, 2026
| 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 | Dmand AI Affiliation Data |
| Primary practice, affiliations and health system | Dmand AI Affiliation DataDmand AI Org Hierarchy Data |
| Medicare services and procedure codes | Medicare Physician & Other Practitioners - by Provider and Service (CMS) (opens in a new tab) |
| State medians for the same specialty | Dmand AI Peer Benchmarks |
| 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 and Drug (CMS) (opens in a new tab)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) |
| Publications, topics and co-authors | PubMed (National Library of Medicine) (opens in a new tab)Dmand AI Research Linkage |
| Industry payments | Open Payments (CMS) (opens in a new tab) |
| 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
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Dr. David Fernando Lee's NPI number is 1588195390. It was assigned on March 23, 2017, and it is active in the NPI Registry.
Dr. David Fernando Lee is an internist in Boston, Massachusetts. The primary specialty in the NPI Registry is Internal Medicine Physician (taxonomy code 207R00000X).
Dr. Lee practices at 75 Francis Street, Boston, MA 02115. Dr. Lee's primary practice is Brigham and Women's Hospital in Boston, Massachusetts, part of Mass General Brigham. Dmand AI also links Dr. Lee to 2 hospitals, 4 medical groups and 1 hospital outpatient department.
The practice phone on file for Dr. Lee is (617) 732-5500.
Dr. Lee holds Massachusetts license 281702.
Dr. Lee practices at Brigham and Women's Hospital in Boston, Massachusetts. Dr. Lee is also affiliated with Dana-Farber Cancer Institute. Dmand AI links Dr. Lee to 2 more hospitals.
Dr. Lee is linked to Massachusetts General Physicians Organization (MGPO). Dmand AI links Dr. Lee to 4 more medical groups.
Yes. CMS data shows Dr. Lee billed Medicare for 365 services in 2024, and Dr. Lee accepts Medicare assignment.
CMS counts 165 Medicare patients who saw Dr. Lee in 2024, with an average age of 76.
In 2024, Dr. Lee's most billed Medicare services were hospital inpatient care (99232), hospital inpatient care (99233) and hospital inpatient care (99238).
In 2019 Medicare Part D data, Dr. Lee's most prescribed drugs by claims were Metoprolol Succinate.
CMS Open Payments shows $112 in general payments to Dr. Lee from 2 companies from 2019 to 2024. The largest total came from Janssen Pharmaceuticals, Inc.
Dr. Lee graduated from medical school in 2017, 9 years ago.
Dmand AI links 2 publications to Dr. Lee, published from 2016 to 2022.
Dr. Lee's most frequent co-authors are Jenny Lu, MD, PhD (1 shared paper).
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