Iliad training enhances medical students' diagnostic skills

Abstract

Iliad is a computerized, expert system for internal medical diagnosis. The system is designed to teach diagnostic skills by means of simulated patient case presentations. We report the results of a controlled trial in which junior students were randomly assigned to received Iliad training on one of two different simulated case mixes. Each group was subsequently tested in both their "trained" and "untrained" case domain. The testing consisted of computerized, simulated patient cases for which no training feedback was provided. Outcome variables were designed to measure the students' performance on these test cases. The results indicate that students made fewer diagnostic errors and more conclusively confirmed their diagnostic hypotheses when they were tested in their trained domain. We conclude that expert systems such as Iliad can effectively teach diagnostic skills by supplementing trainees' actual case experience with computerized simulations.

Tecnificación versus humanización. La inteligencia artificial al servicio del diagnóstico médico

“…En la literatura médica existen varias referencias, [1][2][3][4] algunas de ellas en oftalmología 5 y específicamente en uveítis. [6][7][8][9][10] Los DDSS por lo general relacionan observaciones de salud con el conocimiento médico y por ello ayudan a los clínicos a tomar decisiones adecuadas para mejorar los cuidados en salud.…”

Analysis of a Multilevel Diagnosis Decision Support System and Its Implications: A Case Study

“…The first prominent computer-based clinical consultation system was MYCIN [8] which was designed to function as an aid for infectious disease diagnosis and therapy selection, with an initial emphasis on bacteraemias. Subsequently, other researchers developed medical diagnosis systems such as INTERNIST-I [9], DXplain [10], Isabel [11], Iliad [12], MDX [13], DiagnosisPro [14], and DiagnosMD [15]. These latter medical diagnosis systems explored multiple and complex diagnoses spanning a variety of different medical fields.…”

Computerized Clinical Decision Support: A Technology to Implement and Validate Evidence Based Guidelines

“…19 Ongoing development during four decades has led to many different types of systems that provide CCDS. These include structured documentation, 20 knowledge reference systems, relevant data presentation, alerts, and reminders, [21][22][23][24][25] computerized provider order entry (CPOE), 26 -30 diagnostic assistance, [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46] clinical data interpretation, [47][48][49] and expert systems (see Table 3). [50][51][52][53][54][55][56][57][58][59][60][61][62] Knowledge reference systems, once a dream of computer pioneers, [63][64][65] are now ubiquitous in the internet age.…”