Digital Health Assistant
Semigran HL, Linder JA, Gidengil C, Mehrotra A. Evaluation of symptom checkers for self diagnosis and triage: audit study. BMJ. 2015 Jul 8;351:h3480. “Symptom checkers that used the Schmitt or Thompson nurse triage protocols were more likely to provide appropriate triage decisions…”. PubMed Abstract. Full Text.
Semigran HL. Evaluation of Health Navigator Diagnosis Symptom Checker Using 45 Standardized Clinical Vignettes. March 2017. Abstract and Chart.
Semigran HL, Thompson DA. Evaluation of Health Navigator Triage Symptom Checker Using 45 Standardized Clinical Vignettes. March 2017. Abstract and Chart.
Emergency Department, Inpatient Hospitalist, Primary Care, and Urgent Care Center
Chapman WW, Dowling JN, Baer A, Buckeridge DL, Cochrane D, Conway MA, Elkin P, Espino J, Gunn JE, Hales CM, Hutwagner L, Keller M, Larson C, Noe R, Okhmatovskaia A, Olson K, Paladini M, Scholer M, Sniegoski C, Thompson D, Lober B. Developing syndrome definitions based on consensus and current use. J Am Med Inform Assoc. 2010 Sep-Oct;17(5):595-601. PubMed Abstract.
Fernandes FI, Tanabe P, Gilboy N, Johnson L, Rosenau AM, Sawchuk P, Suter RE, Thompson DA, Travers D. Five-Level Triage: A Report from the ACEP/ENA Five-Level Triage Task Force. J Emerg Nurs. 2005;31(1):39-50. PubMed Abstract.
Thompson DA, Courtney DM (presenter), Malik S, Schmidt MJ, Weston V. Use of Natural Language Processing to Identify 414 Different Chief Complaints in Adult Emergency Department Patients. Oral Presentation. Society for Academic Emergency Medicine (SAEM) Annual Meeting. May 2018.
Thompson DA, Courtney DM, Malik S, Schmidt MJ, Weston V. Use of Natural Language Processing to Identify 414 Different Chief Complaints in Adult Emergency Department Patients. Acad Emerg Med. 2018;25 (Issue S1):S139. Abstract and Chart.
Thompson DA, Eitel D, Fernandes CMB, Pines JM, Amsterdam J, Davidson SJ. Coded Chief Complaints – Automated Analysis of Free-Text Complaints. Acad Emerg Med. 2006;13:774-782. PubMed Abstract. Abstract and Chart.
Thompson DA. A survey of 12 primary care office practices: assessment of resource availability (diagnostic testing, medications, and procedures). 2003.
Thompson DA. Analysis of 150,000 emergency department visits – diagnostic frequency and disposition rates. 2002.
Thompson DA. Analysis of 2 million medical encounters across the continuum of care. Diagnosis frequency for four different sources of care: urgent care center, emergency department, inpatient – hospitalist, and subacute nursing facility. 2015.
Thompson DA. Analysis of outcomes and testing requirements using the Centers for Disease Control and Prevention (CDC) Reason for Visit classification from the 2002 National Hospital Ambulatory Medical Care Survey (NHAMCS). 2004.
Thompson DA. Data abstraction, coding, and analysis of 32,828 emergency department, hospitalist, and urgent care center encounters between April 2016 and May 2017. Investigation of beginning (age, gender, Coded Chief Complaint), middle (clinical documentation), and end (diagnosis, disposition); comparison to decision support tools. 2017.
Thompson DA. Technosoft Data Science Team. Coding and analysis of CDC’s National Hospital Ambulatory Medical Care Survey (NHAMCS) 2010 Data Set (357 hospitals, 35 thousand patient encounters); data science team investigation of age, gender, Coded Chief Complaint, vital signs, diagnoses, and disposition. 2014.
Health Literacy and Plain Language
Patient Satisfaction and Work Flow
Handly N, Thompson DA, Li J, Chuirazzi DM, Venkat A. Evaluation of a Hospital Admission Prediction Model Adding Coded Chief Complaint Data Using a Neural Network Methodology. European Journal of Emergency Medicine. 2015:22(2) 87-91. PubMed Abstract.
Li J, Guo L, Handly N, Mai A, Thompson DA. Semantic-enhanced models to support timely admission prediction at emergency departments. Network Modeling and Analysis in Health Informatics and Bioinformatics. 2012; 1 (4):161-172. Full Text.
Thompson DA, Yarnold PR: Relating satisfaction to patients’ waiting time perceptions and expectations: The Disconfirmation Paradigm. Academic Emergency Medicine. 1995; 2:1057-1062. PubMed Abstract.
Thompson DA, Yarnold PR, Williams D, Adams SL: The effects of actual waiting time, perceived waiting time, information delivery, and expressive quality on patient satisfaction. Annals of Emergency Medicine 1996; 28: 657-665. PubMed Abstract.
Yarnold PA, Michelson EA, Thompson DA, Adams SL: Predicting patient satisfaction: a study of two emergency departments. Journal of Behavioral Medicine. 1998:21:545-563. PubMed Abstract.
Brown K, Tabone G, Thompson DA. The impact of telephone triage on healthcare costs – an analysis of caller intent and outcomes. 2018. Abstract and Chart.
Bunik M, Glazner JE, Chandramouli V, Emsermann CB, Hegarty T, Kempe A. Pediatric telephone call centers: how do they affect health care use and costs? Pediatrics. 2007 Feb;119(2):e305-13. PubMed Abstract.
Cartaya S. Improving Patient Care through Technology and Best-in-Industry Process Improvements. Poster Presentation. American Academy of Ambulatory Care Nursing (AAACN) 41st Annual Meeting. 2016. Poster presentation.
Feirer J, Thompson DA. 2017 Medical Call Center Survey (N = 33 call centers). Available to current clients of LVM Systems. 2017.
Kempe A, Bunik M, Ellis J, Magid D, Hegarty T, Dickinson LM, Steiner JF. How safe is triage by an after-hours telephone call center? Pediatrics. 2006 Aug;118(2):457-63. PubMed Abstract.
Kempe A, Luberti AA, Hertz AR, Sherman HB, Amin D, Dempsey C, Chandramouli V, MacKenzie T, Hegarty TW. Delivery of pediatric after-hours care by call centers: a multicenter study of parental perceptions and compliance. Pediatrics. 2001 Dec;108(6):E111. PubMed Abstract.
Thompson DA, Bolster A. Medical Call Center Nurse Inter-Rater Agreement in Determining “Who should the Telephone Triage Nurse Speak to Next”. Call Prioritization Index (Version 1). 2008. Abstract and Chart.
Thompson DA, Whittemore L. Medical Call Center Nurse Inter-Rater Agreement in Determining “Who should the Telephone Triage Nurse Speak to Next”. Call Prioritization Index (Version 2). 2009. Abstract and Chart.
Thompson DA. An analysis of 200,000 patient calls from 4 medical call centers. 2003.
Thompson DA. Data abstraction, coding, and analysis of 24,635 telemedicine encounters between June 2017 and Dec 2017. Investigation of beginning (age, gender, Coded Chief Complaint), middle (clinical documentation), and end (diagnosis, disposition) of medical encounters; comparison to decision support tools. 2017.
Thompson DA. Medical Call Center Benchmarking Report: 2004 to 2016. An analysis of 6.5 million triage calls from 16 medical call centers. Full report available to participating call centers. 2017. Summary Report and Charts.
Thompson DA. Top 50 Reasons for Call in a Full Age Range Medical Call Center; Coded Chief Complaint Analysis by Age Group and Acuity (Nurse Advice Line; N = 20K). 2017.
Thompson DA. Top 25 Telemedicine Reason For Visit; Coded Chief Complaint Analysis by Age Group and Acuity (N = 14K). 2017.