Special NoticePosted Aug 24, 2026·Responses due Aug 28, 2026

PINC AI Healthcare Database (PINC AI)

National Institutes of Health · NATIONAL INSTITUTES OF HEALTH OLAO

Stage
Early notice (sources sought, presolicitation or special notice)
NAICS
541690
Value
Not stated
Solicitation
26-006633
Set-aside
No Set aside used
PSC
DC01
Place
Bethesda, MD, USA
Contact
Gregory Noland (gregory.noland@nih.gov)
Loading your pipeline and notes…
CSV Email

Capture briefs (a one-page, shareable copy of this page) are part of Pro. The CSV here holds the notice, its timeline and past awards.

Where this opportunity stands

Every notice posted under solicitation 26-006633 in this department, oldest first.

Early notice
  • Aug 24, 2026 · this notice
    Special Notice
Solicitation
None posted
Award
Not yet. Typical award: Oct 3, 2026 to Jun 25, 2027, middle of the range Oct 27, 2026.
Measured from 68 past early notices at National Institutes of Health that later posted an award (middle half of cases, counted from Aug 24, 2026).

Next steps for this stage

Standard steps for the notice type; not advice about this buyer.

  • Answer the notice: this is when the requirement can still be shaped.
  • Contact the contracting officer named on the notice.
  • Check who won similar work; they are the likely bidders.

What the notice says

The National Institute of Health (NIH) intends to negotiate and award a purchase order without providing for full and open competition to Commonwealth Informatics Inc. The purpose of this requirement is to provide a firm-fixed-price contract for the PINC AI Healthcare Database (PINC AI) at the NIH Division of Intramural Research. The primary objectives of the NIH Clinical Center, Critical Care Medicine Department (CCMD) for this project include general, specific, and ad hoc tasks requested of Commonwealth Informatics Inc. These tasks will be performed under a labor-hour contract until all allo… (show all)

tted hours have been utilized. The requested tasks encompass, but are not limited to, the following: Generation of project-specific datasets using the PINC AI database for studies including, but not limited to: Epidemiologic investigations in sepsis, antibiotic resistance, and invasive fungal infections Comparative effectiveness of therapies for critically ill patients where clinical trials are not feasible Commonwealth Informatics will perform various ad hoc analyses and prepare deliverables as requested for the �pruned� PINC AI data, in accordance with the Statement of Work (SOW) found in the Proposal Appendix or provided as a separate attachment. Commonwealth will provide PINC AI data loading tasks as outlined below: Generate project-specific data files based on investigator feedback and share during meetings/webinars (frequency to be determined, as needed) Troubleshoot in real-time with NIH investigators on study queries and data inconsistencies Construct algorithms to generate specific populations from the data that are of interest to NIH investigators Correspond on various projects via email In addition, Commonwealth Informatics will provide project-specific and/or ad hoc tasks as requested via this Labor Hour contract until the allotted hours have been exhausted. General tasks may include, but are not limited to, the following areas: Mapping and curating near-real-time versions of datasets Generation of eSOFA scores Mapping September 2023 - September 2025 data to add more recent data to current and ongoing projects Generation of analysis-ready data files for each of the projects Commonwealth Informatics Inc. (CII; Waltham, MA) is the only known informatics company with over five years of experience working with the Cerner Healthfacts database, a large multi-hospital electronic health record-based dataset with detailed information on patient physiologic, laboratory, pharmacy, and administrative data. The CCMD at NIH/CC has previously collaborated with Harvard�s Department of Population Medicine on a study utilizing Cerner Healthfacts as the data source and CII for data management and analysis. This study provided an estimate of the prevalence of sepsis in the US and was published in JAMA in 2017. CCMD has also collaborated with NIAID DIR, which has contracted with CII in the past on projects involving the Cerner Healthfacts database. These collaborations resulted in the establishment of analytical macros and predictive models. CII�s familiarity with these tools and data sources would greatly benefit the epidemiologic studies at CCMD proposed for 2026-2027, allowing for expedited progress. Furthermore, CII delivered the requested deliverables for NIAID DIR under previous contracts in a timely and efficient manner. Given their expertise with Cerner data, their services can be utilized for data curation of similar datasets, such as the Premier Healthcare dataset. The objective of the planned study, for which CII�s services are currently sought, is to find ways to improve outcomes of patients with life-threatening infections. This includes target trial emulations to identify therapies that may be potentially lifesaving but for which traditional clinical trials are not feasible or practical. Findings are expected to inform clinical practice and national healthcare policy, but the studies require expeditious conduct while maintaining high quality. If another contractor were to be used, there would likely be a significant delay due to the learning curve associated with understanding the data and pre-defined algorithms. CII analysts have already achieved a high level of familiarity with these tools. Moreover, CII�s work on a recent CCMD study on COVID-19 prediction models will serve as a foundation for future studies planned for 2026-2027. The urgent and high-utility nature of this work necessitates prompt data file generation and analysis. Using CII�s services is deemed the most effective way to ensure this requirement is met. A review of the GSA Advantage, Dynamic Small Business Search, and previous government acquisitions returned no results that meet all the requirements. Therefore, only Commonwealth Informatics Inc. is capable of meeting the needs of this requirement.

Who won similar work

5 award notices on SAM.gov in the last 24 months. Matched by: Same agency (National Institutes of Health), same NAICS 541690.

Single-winner award sizes (5): middle half $202K to $1.0M, median $250K; range $12K to $12.3M.

WinnerAwardsValueLast
DATACONSULT-IO LLC1$12.3MAug 1, 2025
BHI MANAGEMENT INC1$1.0MSep 29, 2025
ARALDI GIAN LUCA San Marcos CA 92069 USA1$250KSep 16, 2025
Park Wall Technologies Ltd1$202KAug 4, 2026
MIDNIGHT SUN PROFESSIONAL SOLUTIONS LLC1$12KNov 17, 2025

Value counts single-winner awards. "Shared" awards are multiple-award contracts that list every winner with the same total ceiling; that ceiling is not one company's win, so it is not added in. Revenue next to a ticker is the company's last annual revenue from its 10-K.

Latest awards

Competitive landscape

For the 5 most frequent past winners above. Lobbying is matched by the company's exact name or exact ticker; agencies are as named on the filings.

  • 0 of these past winners lobbied Natl Institutes of Health (NIH) since 2024 (0 filings)
  • 0 of their lobbyists list a past Natl Institutes of Health (NIH) job
  • No corporate PAC money from them to the overseeing committees since 2024
  • 0 foreign-agent (FARA) registrations
See who and the source records with Pro

Policy around it

Bills the past winners named while lobbying this agency's issues, rules from the department, and executive orders that name the agency, last 12 months.

  • 0 bills named on the past winners' lobbying filings
  • 0 rules from the department in the last 12 months
  • 0 executive orders naming the agency in the last 12 months
See who and the source records with Pro

Market

For past winners matched exactly to a listed company. Insider trades are open-market buys and sells (Form 4) in the last 90 days, shown as facts; our own study found insiders do not reliably buy ahead of awards. A sale marked 10b5-1 was made under a trading plan set up in advance.

  • 0 of the past winners are listed companies
  • 0 insider buys and 0 insider sells at them in the last 90 days
See who and the source records with Pro

Sources: SAM.gov notices and award notices; Senate LDA lobbying filings; FEC filings; FARA; Federal Register; congress.gov; SEC Form 4. Every row above links to its record.

Companies are matched to tickers by exact name only. A company we could not match shows no market rows; that is a miss, not a finding.