SOURCES SOUGHT
D -- Electronic Data Collection for National Hospital Care Survey (NHCS)
- Notice Date
- 10/27/2014
- Notice Type
- Sources Sought
- NAICS
- 518210
— Data Processing, Hosting, and Related Services
- Contracting Office
- Department of Health and Human Services, Centers for Disease Control and Prevention, Procurement and Grants Office (Atlanta), 2920 Brandywine Road, Room 3000, Atlanta, Georgia, 30341-4146
- ZIP Code
- 30341-4146
- Solicitation Number
- RFI-200-2015
- Archive Date
- 1/9/2015
- Point of Contact
- Juanita A. Waters, Phone: 7704882933, Natasha Y Rowland, Phone: 770-488-2601
- E-Mail Address
-
jvw0@cdc.gov, hee5@cdc.gov
(jvw0@cdc.gov, hee5@cdc.gov)
- Small Business Set-Aside
- N/A
- Description
- DEPARTMENT OF HEALTH AND HUMAN SERVICES Public Health Service Centers for Disease Control and Prevention National Center for Health Statistics Request for Information (RFI) Project Title: Request for information on electronic data collection for the National Hospital Care Survey (NHCS) Introduction: This is a request for information only to obtain innovative ideas to improve data collection, cost reduction strategies, and gather industry comments for the NHCS. It is not a request for proposal and does not commit the Government to issue a solicitation, make an award, or pay any costs associated with responding to this announcement. All submitted information shall remain with the Government and will not be returned. The objectives of this RFI are to: 1. Collect information on strategies, solutions and or systems to facilitate exporting/extracting, processing and integrating data from electronic administrative claims, electronic health records (EHRs), clinical data repositories (CDRs), and legacy clinical information (CIS) systems across participating hospitals. 2. Evaluate the ability of existing solutions to facilitate the secure storage, management and analysis of large volumes of electronic health data. 3. Optional and at the discretion of the Government: invite vendors to present their proposed strategies and/or demonstrate the use of their solutions in-person onsite at the Centers for Disease Control (CDC)/National Center for Health Statistics (NCHS). Background: The NHCS, launched in 2011, describes national patterns of health care delivery in hospital-based settings, including inpatient, emergency and outpatient departments. It integrates data collected from the National Hospital Discharge Survey (NHDS), the National Hospital Ambulatory Medical Care Survey (NHAMCS), and the Drug Abuse Warning Network (DAWN). Hospitals that participate in NHCS are asked to provide data on all inpatient stays and ambulatory visits from their electronic administrative claims, EHRs, and other clinical databases. Data are also collected on hospital characteristics using a short questionnaire and from an abstraction of clinical data from a sample of ambulatory visits. The NHCS will continue to provide nationally representative data on utilization of hospital care with some distinct advantages. First, a greater amount of information at the hospital and encounter levels will be collected. Next, personal identifiers are being collected for the first time to track patients' revisits to the same hospital setting or between different settings, as well as to link patients to external datasets such as the National Death Index. More information can be found on the NHCS website at: http://www.cdc.gov/nchs/nhcs.htm. Although an increasing amount of electronic data has been collected from participating hospitals, CDC/NCHS faces a number of logistical and technical challenges to gather and efficiently manage requested survey data. Hospitals have very different electronic data capabilities. Some hospitals have been unable to submit Uniform Bill (UB)-04 claims data in standard X12 837 format and have instead opted to submit this data in another format or provide a copy of the electronic file used to meet state data reporting requirements. In some cases, submitted files may be missing encounters in which the source of payment was something other than insurance (e.g., self-pay, charity). The challenges are even greater for collecting electronic clinical data. While some hospitals have fully developed EHR systems, others have systems that allow only limited functions such as computerized laboratory records or electronic medication ordering. In addition, some hospitals have developed their own clinical information system in-house while others have purchased an EHR system from a growing number of software vendors. EHR vendors typically customize a system for each hospital, which limits the ability to transmit information across hospitals. In some cases, a single hospital may have multiple EHR systems which cannot share information with each other. CDC/NCHS is interested in evaluating approaches to obtaining electronic administrative claims and clinical data from hospitals. CDC/NCHS invites interested organizations to describe their expertise and propose strategies for extracting, processing, and integration of this data for the NHCS. In addition, CDC/NCHS is also seeking information on IT solutions to more efficiently store and analyze the thousands of records per hospital collected for the survey. Information requested: We ask that the responder address the following areas: 1. Overall Corporate Capability Provide a brief Statement of Corporate Capability (SOCC) on your company and include a client list of Government agencies and private companies that you have supported. The SOCC and client list are limited to 2 pages, double-spaced, in Times New Roman 12 font, and 1" margins. Responses using multimedia or video are limited to 8 minutes in duration. 2. Healthcare Data Experience Provide a brief statement of your specific experience with handling healthcare data including (but not limited to): protected health information (PHI), electronic health data frameworks (e.g., those developed by HL7, ASTM, ASC), clinical classifications (e.g., ICD-9-CM, CPT), clinical vocabularies (e.g., LOINC, SNOMED), meaningful use EHR certification criteria, and health information exchange tools (e.g., CDA, CCD/CCR). Written responses are limited to 2 pages, double-spaced, in Times New Roman 12 font, and 1" margins. Responses using multimedia or video are limited to 8 minutes in duration. 3. Capabilities in NHCS Functional Areas CDC/NCHS is seeking information on the capabilities of organizations interested in providing any or all of the functional areas listed in Appendix A below. Submissions should cover skills, approach, and past performance for each functional area of interest. Written Responses to questions regarding capabilities are limited to 3 pages, double-spaced, in Times New Roman 12 font, and 1" margins for each functional area of interest. Please include sufficient detail to demonstrate your capability in the corresponding functional area. Responses using multimedia or video are limited to 4 minutes in duration for each functional area of interest. 4. Innovation and Cost Control CDC/NCHS is seeking information on innovative approaches and methods to reduce costs in the functional areas of interest listed in Appendix A below. Responses to questions regarding innovation and cost reductions should include demonstrable examples from your own experience. Written responses to questions regarding capabilities are limited to a total of 4 pages, double-spaced, in Times New Roman 12 font, and 1" margins. Please include sufficient detail to demonstrate your capability in the corresponding functional area(s). Responses using multimedia or video are limited to a total of 12 minutes in duration. 5. Functional Area Structure Lastly, CDC/NCHS is seeking input into the following questions regarding functional area structure. a. Which of the functional areas listed in Appendix A below are dependent on each other and should be executed by the same organization? b. Which of the functional areas are independent and can be executed by separate organizations? APPENDIX A: NHCS FUNCTIONAL AREAS Extraction: Procedures to extract electronic administrative claims and clinical data across multiple hospitals with diverse data systems and IT infrastructure. • Collection of data across both freestanding hospitals and those affiliated with networks and systems • Collection of data across multiple claims and clinical data systems and vendors • Inclusion of 12 months of encounters at each hospital across all sources of payment (e.g., insurance, self-pay, charity, government funding other than public insurance) and all inpatient and ambulatory settings • Software to select and extract specified data elements, including: o Patient personally identifiable information (PII) (e.g., name, address. social security number, medical record number) o Other patient demographics (e.g., sex, race,ethnicity) o Encounter information (e.g., date of visit, time of arrival, source(s) of payment) o Admission, discharge, and disposition information (e.g., reasons for visit, triage level, diagnoses) o Type of providers seen and provider notes o Orders, observations, labs, procedures and medications • Automated processes to collect specified data elements at regular intervals Processing: Procedures to clean and standardize collected data for analysis. • Data element and consistency checks • Deduplication to produce unique records • Separation of aggregate data into unique encounters • Assignment of unique identifiers • Reformatting data from a wide variety of formats (e.g., HL7, 837, ASCI, Excel) to a standard format • Identification and sampling of selected encounters • Conversion to flat files ready for use with standard statistical software (e.g., SAS, SUDAAN) • Creation of supporting documentation (e.g., data dictionaries and inventories) Integration: Procedures to compile collected data and dynamically integrate data within, across, and outside of hospitals. • Merging claims data and clinical information for the same encounter on a single record • Linking data for patients visiting multiple settings within the same hospital stay • Tracking repeated hospital visits for the same patient within a short time period • Linking records to external data systems using unique identifiers Data Warehousing and Hosting: Development of a secure platform that would enable more efficient storage, access to, and analysis of the large volume of collected hospital data. • Secure and scalable storage and management of data files • Simultaneous access to data files by multiple authorized users • In-database analytic capabilities to efficiently process large data files (e.g., data mining functions, integration with standard statistical software) • Coordination of multiple analytic requests
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/CDCP/PGOA/RFI-200-2015/listing.html)
- Place of Performance
- Address: At contractor's facility if a contract should be awarded at a later date. This is to be determined., United States
- Record
- SN03559084-W 20141029/141027235419-572668bd4b60fb82f32caad990183f20 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
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