SOURCES SOUGHT
R -- EMR Dataset
- Notice Date
- 7/30/2015
- Notice Type
- Sources Sought
- NAICS
- 541712
— Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Library of Medicine, 6707 Democracy Blvd., Suite 105, Bethesda, Maryland, 20894, United States
- ZIP Code
- 20894
- Solicitation Number
- NIHLM2015583
- Archive Date
- 8/7/2015
- Point of Contact
- Suet Vu, Phone: 301-496-6546
- E-Mail Address
-
vus@mail.nih.gov
(vus@mail.nih.gov)
- Small Business Set-Aside
- N/A
- Description
- INTRODUCTION/BACKGROUND This is a Small Business Sources Sought notice. This is NOT a solicitation for proposals, proposal abstracts, or quotations. The purpose of this notice is to obtain information regarding: (1) the availability and capability of qualified small business sources; (2) whether they are small businesses; HUBZone small businesses; service-disabled, veteran-owned small businesses; 8(a) small businesses; veteran-owned small businesses; woman-owned small businesses; or small disadvantaged businesses; and (3) their size classification relative to the North American Industry Classification System (NAICS) code for the proposed acquisition. Your responses to the information requested will assist the Government in determining the appropriate acquisition method, including whether a set-aside is possible. An organization that is not considered a small business under the applicable NAICS code should not submit a response to this notice. The National Institutes of Health (NIH), National Library of Medicine (NLM) is conducting a market survey to help determine the availability and technical capability of qualified small businesses, HUBZone small businesses; service- disabled, veteran-owned small businesses; 8(a) small businesses; veteran-owned small businesses; woman-owned small businesses; or small disadvantaged businesses capable of serving the needs identified below. Background: The Lister Hill National Center for Biomedical Communications (LHNCBC), an intramural research and development division of the National Library of Medicine (NLM), requires a large university in the United States, whose medical informatics program is part of a city-wide health information exchange, to provide a collection of de-identified electronic medical records (EMR) derived from the data of 10,000 deceased individuals. LHNCBC will develop a searchable database based on these de-identified records, and use this EMR dataset to conduct research and development related to "next-generation" electronic health records that facilitate patient-centric care, clinical research, and improved public health. This research and development is closely-aligned with NIH's Big Data to Knowledge (BD2K) initiative, and targets the overall recommendations of the NLM 2006-2016 Long Range Plan Goal 3: Create Integrated Biomedical, Clinical, and Public Health Information Systems that Promote Scientific Discovery and Speed the Translation of Research into Practice. Ongoing LHNCBC studies illustrate the potential for Big Data to generate knowledge vital to improving clinical care. We used large clinical databases to predict patient outcomes from patient factors, including medication usage. We combined structured data and information-retrieval techniques and developed and implemented algorithms. The university awarded to perform this work must have operated an EMR for more than 30 years, and have been a pioneer in mapping to universal clinical vocabulary standards (e.g. LOINC for laboratory observations and UCUM for units of measure). This long history will enable the university to create an EMR dataset that spans multiple years of treatment, while including only deceased patients. The university awarded to perform this work must also have a robust medical informatics program capable of de-identifying these records. It is critical that this EMR data be acquired as soon as possible, It is therefore necessary that the university offering these services have current knowledge of the project and its challenges through prior relationship with NLM. ANTICIPATED PERIOD OF PERFORMANCE: It is anticipated that the period of performance shall be for a 12-18 month base year. An award is anticipated to be made on or around September 2015. It is anticipated that the contract will be a firm-Fixed-Price type. Deliverables and conditions: The professional services to be provided consist of delivering to NLM on USB hard disk media or CDs de-identified electronic medical records that meet the following criteria. The EMR data will be used for continued research and development related to "next-generation" electronic health records that facilitate patient-centric care, clinical research, and improved public health. The Contractor must deliver EMR data that meets the following criteria: 1. Initial kickoff meeting. The Contractor and Project Officer, plus other members of their respective teams who will be working on this data acquisition, will participate in a teleconference meeting to discuss criteria for the data to be acquired. 2. Previously-acquired data. Clinical data that was gathered from or about patients to assist with their clinical care, and entered into an electronic medical record prior to 12/31/2011. a. Clinical data elements. The data elements provided will include medication dispensing records, medication orders and other provider orders, encounter data with diagnosis and procedure codes, and laboratory results and other clinical observations (e.g., the problem list and the allergy list) when available. To the extent available, Contractor will also include some types of scrubbed narrative reports (e.g., discharge summaries, operative notes, and outpatient, radiology, echocardiogram, and pathology reports). Universal clinical vocabulary standard codes. In addition to the observation table "dictionary of measures/terms" associated with each result, contractor will include LOINC codes (and units) for tests and observations where LOINC codes apply. RxNorm codes will be included for the medication records. Where LOINC or RxNorm codes are not available, the contractor will include local codes. In addition to the LOINC/RxNorm codes or RI term IDs, contractor will include the local name of the element for all results when available. 3. Deceased patients. Deceased patients will be eligible for inclusion. The exact criteria will be decided based on the discussion during the initial kickoff meeting and subsequent discussions with the Project Officer after the Contractor completes analysis of the kinds of data that would be available under different criteria. Contractor will rank these patients in descending order based on their (lifetime) total number of records in the electronic medical record system's observation (clinical_variable) table. Patients (N=10,000) will be selected for the final dataset based on this ranking and based on year of death. To the extent possible, contractor will include patients with more recent deaths. 4. Initial Report to the Project Officer. Before de-identifying EMR data for patients who meet the above-described criteria, Contractor shall provide Project Officer with a written and emailed report describing the criteria used, the numbers of patients found, and the numbers of clinical data elements of the above-listed categories. a. Beta sample of patients' data. The Contractor shall include with the initial report an early sample of the data described above from 1-3 patients selected for this dataset. By providing this beta sample to NLM, the contractor will enable NLM to begin to develop the software for handling the storage and analysis of the EMR dataset. 5. De-identified. a. Contractor shall use a text scrubber which has been studied and shown to eliminate personally identifiable information. b. Contractor will carefully scrutinize the scrubbed text reports (and all other data generated in the proposed project) to make sure that it is fully de-identified. c. For each patient, contractor will replace the medical record number with a de-identified "dummy" study ID. d. Dates of service (as well as birth and death) will be altered by shifting each date into the future-- a random number within a predefined range will be assigned to each patient for this date shift. In this way, while the amount of the shift will differ across patients, the intervals for each individual patient between her/his de-identified dates will be consistent with what the actual intervals were. e. Physician names and identifiers will also be removed; if possible, a single de-identified id will be created for each physician (otherwise no physician identifier will be included). To the extent available, Contractor will also include some types of scrubbed narrative reports (e.g., discharge summaries, operative notes, and outpatient, radiology, echocardiogram, and pathology reports). 6. Final EMR dataset. A collection of de-identified electronic medical records (EMR) derived from the data of 10,000 deceased individuals. In a format approved by the Project Officer, and delivered on USB hard disk media or CDs. Interested firms responding to this Sources Sought Notice must adhere to the following: (a) Provide a capability statement demonstrating relevant experience, skills, and ability to fulfill the Government's requirement. The capability statement should be complete and contain sufficient detail for the Government to make an informed decision regarding capabilities; however, the statement should not exceed 10 pages. (b) The capability statement must identify the responder's business type and size; DUNS number; NAICS code, and technical and administrative points of contact, including names, titles, addresses, telephone and fax numbers, and e-mail addresses. (c) All capability statements must be submitted electronically no later than 1:00 pm local prevailing time on Thursday, August 6, 2015 to Suet Vu at vus@mail.nih.gov. Disclaimer and Important Notes: This notice does not obligate the Government to award a contract or otherwise pay for the information provided in response. The Government reserves the right to use information provided by respondents for any purpose deemed necessary and legally appropriate. Any organization responding to this notice should ensure that its response is complete and sufficiently detailed to allow the Government to determine the organization's qualifications to perform the work. Respondents are advised that the Government is under no obligation to acknowledge receipt of the information received or provide feedback to respondents with respect to any information submitted. After a review of the responses received, a pre-solicitation synopsis and solicitation may be published in Federal Business Opportunities. However, responses to this notice will not be considered adequate responses to a solicitation. Confidentiality. No proprietary, classified, confidential, or sensitive information should be included in your response. The Government reserves the right to use any non-proprietary technical information in any resultant solicitation(s).
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/NIH/OAM/NIHLM2015583/listing.html)
- Place of Performance
- Address: Bethesda, Maryland, 20894, United States
- Zip Code: 20894
- Zip Code: 20894
- Record
- SN03817089-W 20150801/150730235856-88d247b179786240fe91e49f73066e1a (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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