Published on in Vol 4 , No 1 (2016) :Jan-Mar

Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study

Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study

Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study

Journals

  1. Yousif A, Lemière C, Cartier A, Forget A, Blais L. Development of a graphical tool to measure medication adherence in asthma patients: A mixed-methods pilot study. Journal of Asthma 2019;56(5):543 View
  2. Chu L, Kannan V, Basit M, Schaeflein D, Ortuzar A, Glorioso J, Buchanan J, Willett D. SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets. JMIR Medical Informatics 2019;7(1):e11487 View
  3. Duckworth M, Leung E, Fuller T, Espares J, Couture B, Chang F, Businger A, Collins S, Dalal A, Fladger A, Schnipper J, Schnock K, Bates D, Dykes P. Nurse, Patient, and Care Partner Perceptions of a Personalized Safety Plan Screensaver. Journal of Gerontological Nursing 2017;43(4):15 View
  4. McDonough C, Smith S, Cooper-DeHoff R, Hogan W. Optimizing Antihypertensive Medication Classification in Electronic Health Record-Based Data: Classification System Development and Methodological Comparison. JMIR Medical Informatics 2020;8(2):e14777 View
  5. Fénélon-Dimanche R, Guénette L, Trudel-Bourgault F, Yousif A, Lalonde G, Beauchesne M, Collin J, Blais L. Development of an electronic tool (e-AdPharm) to address unmet needs and barriers of community pharmacists to provide medication adherence support to patients. Research in Social and Administrative Pharmacy 2021;17(3):506 View
  6. Dixon B, Barboza K, Jensen A, Bennett K, Sherman S, Schwartz M. Measuring Practicing Clinicians’ Information Literacy. Applied Clinical Informatics 2017;26(01):149 View
  7. Groenhof T, Asselbergs F, Groenwold R, Grobbee D, Visseren F, Bots M. The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2019;19(1) View
  8. Ertel A, Kaiser T, Abbott D, Shah S. Use of video-based education and tele-health home monitoring after liver transplantation: Results of a novel pilot study. Surgery 2016;160(4):869 View
  9. Knell G, Li Q, Pettee Gabriel K, Shuval K. Long-Term Weight Loss and Metabolic Health in Adults Concerned With Maintaining or Losing Weight: Findings From NHANES. Mayo Clinic Proceedings 2018;93(11):1611 View

Books/Policy Documents

  1. Dixon B, Grannis S. Public Health Informatics and Information Systems. View