Skip to content
#large language models Dataset Open access

Is it feasible to assess clinical remission in asthma via a customized data extraction approach from a real-world clinical electronic medical records database in Japan? A retrospective real-world study

Sep 2026 · Figshare

Abstract

Clinical remission (CR) is an ambitious and attainable treatment goal for patients with asthma. This retrospective, observational study determined the feasibility of assessing CR using an electronic medical record (EMR) database. Data from the JAMDAS database were analyzed for patients with asthma initiating fluticasone furoate/umeclidinium/vilanterol single-inhaler triple therapy between August 18, 2020 and December 31, 2024. Asthma Control Test (ACT) scores were extracted using structured query language. For exacerbations, hospitalization and emergency transport data were extracted using a large language model. The proportion of patients meeting Japanese Practical Guidelines for Asthma Management 2024 CR definition (oral corticosteroid [OCS]-free, no exacerbations, ACT ≥ 23), treatment patterns, adherence and persistence were assessed at 3-month intervals until 18-months post-initiation. Additionally, forced expiratory volume in 1 s (FEV1%)/forced vital capacity and fractional exhaled nitric oxide (FeNO) test frequency were extracted. Of 32 258 eligible patients, only 1.8–3.0%, 0.5–1.5% and 4.5–10.1% had 3- to 18-month ACT, FEV1% or FeNO data available. Among patients with 3-month ACT data (2.9% [n = 934/32 258]), 98.6% (n = 921/934) had no exacerbations and 81.0% (n = 757/934) had no OCS use. Among evaluable patients (3-months: 2.9%; 18-months: 3.0%), 41.1% (n = 384/934) met all CR components at 3-months and 69.3% (n = 199/287) at 18-months post-initiation. This study suggests it may be feasible to assess CR using EMR data in Japanese patients with asthma. However, infrequent recording of CR components in clinical practice, particularly ACT and lung function tests, limits availability of EMR data for CR assessments and the potential generalizability of CR findings.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Conference Open access Dec 2013

Affordable and Energy-Efficient Cloud Computing Clusters: The Bolzano Raspberry Pi Cloud Cluster Experiment

The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.

P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al. · 110 citations · ⚡7
#computer vision Book Open access Mar 2017

On the Unhappiness of Software Developers

The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 84 citations · ⚡6

Related blog posts

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.