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세계의 의학용어 소프트웨어 시장 규모, 점유율 및 동향 분석 보고서 : 용도별, 최종 사용자별, 지역별 전망 및 예측(2023-2030년)
Global Medical Terminology Software Market Size, Share & Trends Analysis Report By Application (Quality Reporting, Reimbursement, Data Aggregation, Clinical Trials and Others), By End User, By Regional Outlook and Forecast, 2023 - 2030
상품코드 : 1429125
리서치사 : KBV Research
발행일 : 2024년 01월
페이지 정보 : 영문 181 Pages
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한글목차

의학용어 소프트웨어 시장 규모는 2030년까지 18억 달러에 달하고, 예측 기간 동안 연평균 10.4%의 시장 성장률을 나타낼 것으로 예상됩니다.

팬데믹은 원격지에서 의료 서비스를 제공하는 원격 의료의 도입을 가속화했습니다. 원격 의료는 의료 전문가와 환자 간의 효과적인 가상 커뮤니케이션을 촉진합니다. 의료 전문가들이 분산되어 원격으로 일하게 되면서 고급 의료 용어를 통합한 협업 도구에 대한 수요가 급증했습니다. 커뮤니케이션의 격차를 해소하고 임상 정보의 정확한 해석을 보장하는 소프트웨어 솔루션이 필수적이 되었고, 코로나19에 대한 과학적 이해는 새로운 의료 용어의 출현으로 이어져 의학용어 소프트웨어의 신속한 업데이트와 적응이 필요하게 되었습니다. 정확한 정보 전달을 위해 이러한 변경 사항을 신속하게 통합하고 보급하는 것이 필수적이었으며, 코로나19 사례의 급증은 전 세계 의료 시스템을 압도하여 데이터 관리 및 문서화에 대한 압력을 증가시켰습니다. 따라서 전염병은 시장에 긍정적인 영향을 미쳤습니다.

그러나 코딩 시스템의 다양성은 상호운용성 문제를 야기하고 있습니다. 의료 기관, 부서, 시스템 간의 원활한 데이터 교환을 촉진하기 위해서는 시스템 간의 코드를 이해하고 매핑해야 합니다. 의학용어 소프트웨어를 다양한 코딩 시스템에 통합하는 것은 복잡하고 많은 리소스를 필요로 합니다. 소프트웨어는 각 코딩 시스템의 복잡성을 수용하고 플랫폼 간 의료 용어의 정확한 번역과 해석을 보장해야 합니다. 코딩 시스템의 다양성으로 인해 의료 환경 전반에 걸쳐 의료 용어를 표준화하는 것은 어려운 과제입니다. 서로 다른 코딩 규칙과 관행은 의료 용어의 보편적 표준을 달성하는 데 방해가 될 수 있습니다. 여러 코딩 시스템은 의료 용어의 오역 위험을 증가시킵니다. 위의 요인들은 향후 몇 년동안 시장 성장을 저해할 것입니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요람

제3장 시장 개요

제4장 세계 시장 : 용도별

제5장 세계 시장 : 최종사용자별

제6장 세계 시장 : 지역별

제7장 기업 개요

제8장 의학용어 소프트웨어 시장을 위한 성공 필수 조건

LSH
영문 목차

영문목차

The Global Medical Terminology Software Market size is expected to reach $1.8 billion by 2030, rising at a market growth of 10.4% CAGR during the forecast period.

Data aggregation enables medical terminology software to compile a comprehensive patient profile by consolidating information from various sources. Therefore, the data aggregation segment captured $134.85 million revenue in the market in 2022. This holistic understanding aids healthcare professionals in making more informed decisions and providing personalized care. Aggregated data from it provides real-time clinical insights, aiding healthcare professionals in making timely and evidence-based decisions. This capability enhances the quality of patient care by ensuring that the most up-to-date information informs decisions. Data aggregation allows for the application of predictive analytics within it. By analyzing historical data trends, the software can identify potential issues, predict outcomes, and contribute to proactive healthcare interventions, thereby improving patient outcomes.

As healthcare organizations implement EHR systems, there is a growing need for interoperability between different systems. Medical terminology software ensures that data can be standardized and exchanged seamlessly across different platforms, allowing efficient communication and collaboration. EHRs capture vast amounts of data, often using varied terminology and coding systems. This helps standardize this diverse range of medical terms, codes, and abbreviations, ensuring consistency in documentation and reducing the risk of misinterpretation. As EHRs become central to healthcare operations, medical terminology software integration becomes essential. Additionally, CDSS uses consistent and standardized medical terminology to interpret and analyze patient data effectively. This ensures that terminology is uniform across the healthcare environment, reducing the risk of misinterpretation and improving the accuracy of decision-support recommendations. Also, this provides the foundation for CDSS to analyze and interpret complex medical information. With standardized terminology, CDSS can offer more accurate and relevant clinical insights, helping healthcare professionals make well-informed diagnoses, treatment plans, and patient management decisions. Thus, the increasing demand for clinical decision support systems directly impacts the expansion of the market.

The pandemic spurred an accelerated adoption of telemedicine to deliver healthcare services remotely. It facilitates effective virtual communication between healthcare professionals and patients. The demand for collaborative tools embedded with advanced medical terminologies soared with healthcare professionals dispersed and working remotely. Software solutions bridging the communication gap and ensuring accurate interpretation of clinical information became imperative. The scientific understanding of COVID-19 led to the emergence of new medical terminologies, necessitating swift updates and adaptations in medical terminology software. Quickly integrating and disseminating these changes became crucial for accurate communication. The surge in COVID-19 cases had overwhelmed healthcare systems globally, leading to increased pressure on data management and documentation. Therefore, the pandemic positively impacted the market.

However, the diversity in coding systems creates interoperability challenges. This must understand and map codes between systems to facilitate seamless data exchange between healthcare organizations, departments, and systems. Integrating medical terminology software with diverse coding systems is complex and resource intensive. The software must be capable of handling the intricacies of each coding system, ensuring accurate translation and interpretation of medical terms across platforms. Standardizing medical terminology across healthcare settings becomes challenging due to the diversity in coding systems. Different coding conventions and practices hinder achieving a universal standard for medical language. Multiple coding systems increase the risk of misinterpretation of medical terms. Due to the above factors, market growth will be hampered in the coming years.

By Application Analysis

On the basis of application, the market is segmented into quality reporting, reimbursement, data aggregation, clinical trials, and others. The reimbursement segment acquired a substantial revenue share in the market in 2022. The availability of favorable reimbursement models significantly influences the adoption of medical terminology software. Healthcare institutions are more likely to invest in these solutions when they align with reimbursement structures that justify the cost of implementation. Reimbursement mechanisms that reward innovation and the development of advanced features in this stimulate the creation of more sophisticated and effective solutions.

By End-User Analysis

Based on end user, the market is fragmented into healthcare providers, healthcare payers, and others. In 2022, the healthcare providers segment held the highest revenue share in the market. Medical terminology software facilitates effective communication among diverse healthcare specialists, from physicians and nurses to specialists and administrative staff. Standardized terminology bridges communication gaps, fostering collaborative and coordinated care. It provides healthcare providers real-time clinical insights by ensuring accurate and up-to-date information. This aids in making informed decisions, optimizing patient care, and aligning interventions with the latest evidence-based practices.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region registered the highest revenue share in the market. This results from the prevalence of key players, including Wolters Kluwer NV and Intelligent Medical Objects Inc., and the widespread use of electronic health records. A rise in clinical trials in this region also contributes to the market's expansion. Additionally, increased purchasing power and awareness regarding the numerous benefits of clinical decision support systems (CDSS) and electronic health records (EHRs) are anticipated to fuel market expansion.

List of Key Companies Profiled

Global Medical Terminology Software Market Report Segmentation

By Application

By End User

By Geography

Table of Contents

Chapter 1. Market Scope & Methodology

Chapter 2. Market at a Glance

Chapter 3. Market Overview

Chapter 4. Global Medical Terminology Software Market by Application

Chapter 5. Global Medical Terminology Software Market by End User

Chapter 6. Global Medical Terminology Software Market by Region

Chapter 7. Company Profiles

Chapter 8. Winning Imperatives of Medical Terminology Software Market

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