Results

Total Results: 190 records

Showing results for "feasible".

41. Adding Clinical Data to Statewide Administrative Data: Pilot Projects - Final Report
    hcup-us.ahrq.gov/datainnovations/clinicaldata/Finalreport100109.jsp
    July 01, 2016 - Enhancement of claims data with POA modifiers and a limited set of numerical laboratory results is feasible

42. (pdf file)
    hcup-us.ahrq.gov/datainnovations/clinicaldata/Finalreport100109.pdf
    October 01, 2009 - Enhancement of claims data with POA modifiers and a limited set of numerical laboratory results is feasible

43. Statistical Brief #90: Hospital Readmissions and Multiple Emergency Department Visits, in Selected States, 2006-2007 (pdf file)
    hcup-us.ahrq.gov/reports/statbriefs/sb90.pdf
    May 21, 2010 - First, it is an illustration of the types of longitudinal analyses that are now feasible with the HCUP

44. HCUP Nationwide Inpatient Sample Design Report 1996
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1996_Design_Report.jsp
    January 01, 1996 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of the … Given that a very large number of observations will be available for most analyses, it may be feasible

45. HCUP Nationwide Inpatient Sample Design Report 1992-1988
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1992_1988_Design_Report.jsp
    January 01, 1992 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of the … Given that a very large number of observations will be available for most analyses, it may be feasible

46. HCUP Nationwide Inpatient Sample Design Report 2000
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2000_Design_Report.jsp
    January 01, 2000 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of the … Given that a very large number of observations will be available for most analyses, it may be feasible

47. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2000_Design_Report.pdf
    January 01, 2000 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of … Given that a very large number of observations will be available for most analyses, it may be feasible

48. MAINTAIN AND EXPAND (pdf file)
    hcup-us.ahrq.gov/db/nation/kid/reports/KID_2000_Design_Report.pdf
    January 01, 2000 - However, it was not feasible to obtain and process all-payer discharge data from the entire universe … Given that a very large number of observations will be available for most analyses, it may be feasible

49. Virginia Final Report
    hcup-us.ahrq.gov/datainnovations/clinicaldata/AHRQFINALREPORTVHI.jsp
    July 01, 2016 - We are awaiting results of the laboratory models to see if requiring lab data submission will be feasible

50. Newsletter Summer 2017
    hcup-us.ahrq.gov/news/newsletters/newsltrQ2_2017.html
    January 01, 2017 - Newsletter Summer 2017 Summer 2017 Issue #51 Contents News and Announcements: Notable news from HCUP Databases and Products: New database and product releases Publication Spotlights: Recent works incorporating HCUP data and tools HCUP Q&A: Answers to your HCUP questions HCUP Event…

51. HCUP Nationwide Inpatient Sample Design Report 2002
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2002_Design_Report.jsp
    January 01, 2002 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of the … Given that a very large number of observations will be available for most analyses, it may be feasible

52. HCUP Nationwide Inpatient Sample Design Report 2001
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2001_Design_Report.jsp
    January 01, 2001 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of the … Given that a very large number of observations will be available for most analyses, it may be feasible

53. HCUP-US Methods Series Topic Page
    hcup-us.ahrq.gov/reports/methods/methods_topic.jsp
    November 01, 2024 - HCUP-US Methods Series Topic Page An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs Email Updates …

54. ASCII Implementation Guide.
    hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/hi7.jsp
    July 01, 2016 - ASCII Implementation Guide. An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs Email Updates …

55. HCUP-US Methods Series
    hcup-us.ahrq.gov/reports/methods/methods.jsp
    February 01, 2025 - HCUP-US Methods Series An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs Email Updates …

56. ASCII Implementation Guide (pdf file)
    hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/hi7.pdf
    August 04, 2011 - ASCII Implementation Guide HAWAII HEALTH INFORMATION CORPORATION HAWAII’S SOURCE FOR HEALTHCARE Implementation Guide ASCII HL7 Specifications for Laboratory Observation Reporting Technical Specifications and Transmittal Instructions Effective for Discharges on or after January 1, 2008 …

57. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2002_Design_Report.pdf
    January 01, 2002 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of … Given that a very large number of observations will be available for most analyses, it may be feasible

58. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2001_Design_Report.pdf
    January 01, 2001 - However, it was not feasible to obtain and process all-payer discharge data from a random sample of … Given that a very large number of observations will be available for most analyses, it may be feasible

59. HCUP Quality Control Procedures
    hcup-us.ahrq.gov/db/quality.jsp
    April 01, 2022 - Confirm that data values are valid, internally consistent, and consistent with established norms, when feasible … For character data: Verify against norms, when feasible (e.g., diagnosis codes and procedure codes

60. HCUP QUALITY CONTROL PROCEDURES (pdf file)
    hcup-us.ahrq.gov/db/quality.pdf
    January 31, 2025 - Confirm that data values are valid, internally consistent, and consistent with established norms, when feasible … o For character data: - Verify against norms, when feasible (e.g., diagnosis codes and procedure codes