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Total Results: 617 records

Showing results for "illness".

41. Modeling Patient-Centered Medical Home Principles, Attributes, and Patient Experiences - Narrative Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/modeling-pcmh-principles-attributes-patient-experiences-narrative-report.pdf
    November 01, 2014 - • Adult Acute Illness • Adult Acute Illness (with different PCMH attributes) Interactions Focused … Adult – Acute Illness Childhood – Acute Illness Adult – Prevention Adult – Chronic Disease … Acute Illness Senior – Chronic Disease Senior – Acute Illness PCMH Attributes Kyle Steven … Steven Joplin Adult – Acute Illness Natalie Brown Childhood – Acute Illness Jennifer Davis … Steven Joplin Adult – Acute Illness Natalie Brown Childhood – Acute Illness Jennifer Davis

42. Xerostomia | Digital Healthcare Research
    digital.ahrq.gov/medical-condition/xerostomia
    January 01, 2023 - Compromised Patients eHealth Records to Improve Dental Care for Patients with Chronic Illness … Report Citation Fricton J. eHealth Records to Improve Dental Care for Patients with Chronic Illness

43. Using Information Technology to Provide Measurement Based Care for Chronic Illness - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs017189-trivedi-final-report-2010.pdf
    January 01, 2010 - Using Information Technology to Provide Measurement Based Care for Chronic Illness - Final Report … Grant ID: R18 HS017189 Using Information Technology to Provide Measurement Based Care for Chronic Illness … Commonly used symptom measures for the evaluation of psychiatric illness are included. … evaluation of social function, and this measure includes a range of questions about how the current illness … 26 Document title: Using Information Technology to Provide Measurement Based Care for Chronic Illness

44. Improving Safety and Quality of Emergency Care Using Machine Learning-Based Clinical Decision Support at Triage | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-safety-and-quality-emergency-care-using-machine-learning-based
    September 30, 2023 - The specific aims of the research are as follows: Refine triage models to predict critical illness, hospital … using machine learning algorithms trained on the large study cohort to improve prediction of critical illness … We can use these data to build and test prediction models targeting key outcomes, such as critical illness … is developing and refining machine learning–based risk stratification models that predict critical illness … This ED triage tool integrated into the EHR should improve the prediction of patient illness severity

45. An Electronic Personal Health Record for Mental Health Consumers - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs017829-druss-final-report-2012.pdf
    January 01, 2012 - be conducted to assess the impact of the MH-PHR on quality of care for persons with serious mental illness … Scope Persons with Serious Mental Illness are a highly vulnerable population due to their elevated … In contrast to many electronic medical records that often only contain episodic and illness-related … ongoing, longitudinal, and lifelong record of information that bridges multiple providers and both illness … Relative risk of cardiovascular and cancer mortality in people with severe mental illness from the

46. Facilitators and Barriers to Adoption of a Successful Urban Telemedicine Model - 2012 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/facilitators-and-barriers-adoption-successful-urban-telemedicine-model/annual-summary/2012
    January 01, 2012 - Health-e-Access telemedicine network (HeA) in Rochester, NY, has been used to manage acute childhood illness … The research team developed and implemented a phone-based community illness survey to assess how families … Because this value is similar to the proportion of in-person illness visits yielding a prescription,

47. Neighborhood Telemedicine Access Tool (pdf file)
    digital.ahrq.gov/sites/default/files/docs/resource/mcconnochie.pdf
    January 01, 1994 - Rochester-area child care and school settings, but also on review and outcome evaluation of an entire year’s illness … For example, if the healthcare professional managing parent calls about illness follows the ASTHMA ATTACK … protocol, and the protocol classifies the illness episode as See Today or Tomorrow in Office, it is … Doctors Providing Phone Triage What:  Convenient, after-hours access to care for acute childhood illness …  The Health-e-Access Telemedicine Program has demonstrated (1) most illness episodes prompting

48. Treating Comorbid Depression During Care Transitions with Relational Agents | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/treating-comorbid-depression-during-care-transitions-relational-agents
    January 01, 2023 - Chronic Disease Management Telehealth Depression is common among individuals with chronic illness … internet-accessed relational agent (RA), to deliver computerized CBT depression treatment to patients with chronic illness

49. Facilitators and Barriers to Adoption of a Successful Urban Telemedicine Model - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs018912-mcconnochie-final-report-2014.pdf
    January 01, 2014 - To monitor impact of the HeA models on acute illness utilization patterns. … on all types of health service encounters for acute illness. … Urban telemedicine increases equity in access to acute illness care. … Implementation and Evaluation of Health IT for Care of Children with Acute Illness. … Acute illness care patterns change with use of telemedicine.

50. Fricton, James | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/fricton-james
    January 01, 2023 - Illnesses eHealth Records to Improve Dental Care for Patients with Chronic Illness … Report Citation Fricton J. eHealth Records to Improve Dental Care for Patients with Chronic Illness

51. Machine Learning to Improve Patient Triage in the Emergency Department | Digital Healthcare Research
    digital.ahrq.gov/program-overview/research-stories/machine-learning-improve-patient-triage-emergency-department
    January 01, 2023 - We can use these data to build and test prediction models targeting key outcomes, such as critical illness … is developing and refining machine learning–based risk stratification models that predict critical illness … This ED triage tool integrated into the EHR should improve the prediction of patient illness severity

52. Integrated Telemedicine System Demonstrates Reduction in Children’s Emergency Department Visits (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/THQITStoriesMcConnochie2010.pdf
    January 01, 2001 - Department Visits Children in school and child care settings often exhibit symptoms of acute illness … HEALTH-E-ACCESS CHILDREN’S ACCESS AND COST RELATIVE TO OTHER SIMILAR CHILDREN Outcome Difference Visits for Illness … Total* +22.9 percent Emergency Dept. -23.6 percent Cost of all illness visits† -3.0 percent Health­e­Access

53. Using Information Technology to Provide Measurement Based Care for Chronic Illness - 2010 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-information-technology-provide-measurement-based-care-chronic-illness/annual-summary/2010
    January 01, 2010 - Using Information Technology to Provide Measurement Based Care for Chronic Illness - 2010 … Project Name Using Information Technology to Provide Measurement Based Care for Chronic Illness

54. Using Information Technology to Provide Measurement Based Care for Chronic Illness - 2011 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-information-technology-provide-measurement-based-care-chronic-illness/annual-summary/2011
    January 01, 2011 - Using Information Technology to Provide Measurement Based Care for Chronic Illness - 2011 … Project Name Using Information Technology to Provide Measurement Based Care for Chronic Illness

55. Electronic Dental Record | Digital Healthcare Research
    digital.ahrq.gov/technology/electronic-dental-record
    January 01, 2023 - Illnesses eHealth Records to Improve Dental Care for Patients with Chronic Illness … Report Citation Fricton J. eHealth Records to Improve Dental Care for Patients with Chronic Illness

56. eHealth Records to Improve Dental Care for Patients with Chronic Illnesses | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ehealth-records-improve-dental-care-patients-chronic-illnesses
    January 01, 2023 - for implementing an integrated health information technology system for diabetes and other chronic illness … Close eHealth Records to Improve Dental Care for Patients with Chronic Illness … Final Report Citation: Fricton J. eHealth Records to Improve Dental Care for Patients with Chronic Illness

57. Reaching the Research Community Through Web Conferences | Digital Healthcare Research
    digital.ahrq.gov/2020-year-review/research-dissemination/reaching-research-community-through-web-conferences
    January 01, 2020 - study results on the effectiveness of using telehealth for psychiatric services for people with mental illness … discussed the Health-e-Access (HeA) telemedicine network in Rochester, NY, used to manage childhood illness

58. Northwestern University | Digital Healthcare Research
    digital.ahrq.gov/organization/northwestern-university
    January 01, 2023 - Symptom Monitoring and Reporting System for Pediatric Chronic Illness - 2012 Principal Investigator … Lai, Jin-Shei Project Name Symptom Monitoring and Reporting System for Pediatric Chronic Illness

59. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report-2019.pdf
    January 01, 2019 - patient-related cancellations and the most frequent four cancellation causes individually (patient illness … The top four most frequent cancellation reasons were patient illness, “no show”, NPO violation, and … Ten-fold Cross Validation Performance Test Set Performance Classifier All- cause Patient illness … No show NPO violation Patient family refused All- cause Patient illness No show … Ten-fold Cross Validation Performance Test Set Performance Classifier All- cause Patient illness

60. Behavioral Health | Digital Healthcare Research
    digital.ahrq.gov/type-care/behavioral-health
    January 01, 2023 - animation program that interacts with patients--to deliver depression treatment to patients with chronic illness … Using Information Technology to Provide Measurement Based Care for Chronic Illness