Using STD Electronic Medical Record Data to Drive Public Health Program Decisions in New York City
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| Publikašuvnnas: | American Journal of Public Health vol. 100, no. 4 (Apr 2010), p. 586-590 |
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| Váldodahkki: | |
| Eará dahkkit: | , , , , |
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American Public Health Association
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| Fáttát: | |
| Liŋkkat: | Citation/Abstract Full Text Full Text - PDF |
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| 100 | 1 | |a Paneth-Pollak, Rachel, MPH | |
| 245 | 1 | |a Using STD Electronic Medical Record Data to Drive Public Health Program Decisions in New York City | |
| 260 | |b American Public Health Association |c Apr 2010 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Electronic medical records can house patient information gathered over time and at multiple sites, thus they have the potential to increase continuity of care and improve service delivery in a multiclinic system. The New York City Department of Health and Mental Hygiene implemented an electronic medical record system in its 10 sexually transmitted disease clinics during 2004 and 2005. We examine the use of real-time electronic medical record data analyses to evaluate clinical services or program activities and present 3 examples of such analyses that have led to program improvements. Analyses of electronic medical record data have produced changes in clinical practice that in turn have resulted in more effective staff use, increased disease detection, and increased clinic capacity. [PUBLICATION ABSTRACT] Electronic medical records can house patient information gathered over time and at multiple sites, thus they have the potential to increase continuity of care and improve service delivery in a multiclinic system. The New York City Department of Health and Mental Hygiene implemented an electronic medical record system in its 10 sexually transmitted disease clinics during 2004 and 2005. We examine the use of real-time electronic medical record data analyses to evaluate clinical services or program activities and present 3 examples of such analyses that have led to program improvements. Analyses of electronic medical record data have produced changes in clinical practice that in turn have resulted in more effective staff use, increased disease detection, and increased clinic capacity. | |
| 650 | 2 | 2 | |a Contraception, Postcoital |x methods |
| 650 | 2 | 2 | |a Decision Making, Computer-Assisted |
| 650 | 2 | 2 | |a Decision Making, Organizational |
| 650 | 1 | 2 | |a Electronic Health Records |x organization & administration |
| 650 | 2 | 2 | |a Female |
| 650 | 2 | 2 | |a Gonorrhea |x diagnosis |
| 650 | 2 | 2 | |a Gonorrhea |x prevention & control |
| 650 | 2 | 2 | |a Humans |
| 650 | 2 | 2 | |a Male |
| 650 | 2 | 2 | |a New York City |
| 650 | 1 | 2 | |a Program Evaluation |x methods |
| 650 | 1 | 2 | |a Public Health Practice |
| 650 | 1 | 2 | |a Sexually Transmitted Diseases |x prevention & control |
| 650 | 2 | 2 | |a Urethritis |x diagnosis |
| 650 | 2 | 2 | |a Urethritis |x microbiology |
| 651 | 4 | |a New York | |
| 651 | 4 | |a United States--US | |
| 653 | |a Medical records | ||
| 653 | |a Health care | ||
| 653 | |a Risk factors | ||
| 653 | |a Patient safety | ||
| 653 | |a Clinics | ||
| 653 | |a Drug use | ||
| 653 | |a Public health | ||
| 653 | |a Network computers | ||
| 653 | |a Charts | ||
| 653 | |a Substance abuse treatment | ||
| 653 | |a Decision support systems | ||
| 653 | |a Risk assessment | ||
| 653 | |a Sexually transmitted diseases--STD | ||
| 653 | |a Condoms | ||
| 653 | |a Continuity of care | ||
| 653 | |a Chlamydia | ||
| 653 | |a Laboratories | ||
| 653 | |a Physicians | ||
| 653 | |a Syphilis | ||
| 653 | |a Medical referrals | ||
| 653 | |a Medical tests | ||
| 653 | |a Hospitals | ||
| 653 | |a Clinical decision making | ||
| 653 | |a Hepatitis | ||
| 653 | |a Disease transmission | ||
| 653 | |a Disease detection | ||
| 653 | |a Mental health | ||
| 653 | |a Mental health services | ||
| 653 | |a Data | ||
| 653 | |a Patient information | ||
| 653 | |a Clinical medicine | ||
| 653 | |a Health education | ||
| 653 | |a Medical decision making | ||
| 653 | |a Information technology | ||
| 653 | |a Multiple sites | ||
| 653 | |a Computerized medical records | ||
| 653 | |a Social | ||
| 700 | 1 | |a Schillinger, Julia A, MD, MSc | |
| 700 | 1 | |a Borrelli, Jessica M, MPH | |
| 700 | 1 | |a Handel, Shoshanna, MPH | |
| 700 | 1 | |a Pathela, Preeti, DrPH | |
| 700 | 1 | |a Blank, Susan, MD, MPH | |
| 773 | 0 | |t American Journal of Public Health |g vol. 100, no. 4 (Apr 2010), p. 586-590 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/215084053/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/215084053/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/215084053/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |