Chinese Medicine

## Overview

Chinese Medicine is a dataset for object detection tasks - it contains Mushroom annotations for 1,682 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Medical Images

## Overview

Medical Images is a dataset for instance segmentation tasks - it contains Medical Images annotations for 484 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

With recent advances in machine learning, semantic segmentation algorithms are becoming increasingly general purpose and translatable to unseen tasks. Many key algorithmic advances in the field of medical imaging are commonly validated on a small number of tasks, limiting our understanding of the generalisability of the proposed contributions. A model which works out-of-the-box on many tasks, in the spirit of AutoML, would have a tremendous impact on healthcare. The field of medical imaging is also missing a fully open source and comprehensive benchmark for general purpose algorithmic validation and testing covering a large span of challenges, such as: small data, unbalanced labels, large-ranging object scales, multi-class labels, and multimodal imaging, etc. This challenge and dataset aims to provide such resource through the open sourcing of large medical imaging datasets on several highly different tasks, and by standardising the analysis and validation process.

From the 2009 Medical Examiner's Annual Report, the age of each decedent in 2009.

The Non-VA Care Medical and Pharmacy System (FEE) automates the Veterans Health Administration (VHA) Fee for Service program. It authorizes and pays private physicians, hospitals, and pharmacists for products and services provided to Veterans approved for the program. Veterans are reimbursed through VistA Fee for medically-related expenses including travel. Information is entered into the VistA Fee system through Veterans Health Information Systems and Technology Architecture (VistA) online menus. VistA Fee is run at the Austin Information Technology Center and interfaces with the Financial Management System (FMS), the Beneficiary Identification and Records Locator System (BIRLS), and the VHA Work Measurement database (VWM), to produce payments, accounting updates, and reports. VistA Fee facilitates money management, master record updating, and input error resolution. Daily reports indicating all payments processed and erroneous input transactions are transmitted to approximately 170 Veterans Affairs Medical Centers (VAMCs). Letters are sent to Veterans on a monthly basis detailing payments made on their behalf to Non-VA Care Service providers. Monthly, quarterly, semi-annual and annual reports are sent to the Veterans Affairs Central Office (VACO) and VAMCs. The Non-VA Care Fee Basis Medical System is commonly referred to as Central FEE.

Explore an in-depth analysis of a medical trial comparing Medication A to Medication B. Our dataset includes patient usage, switching trends, dosage patterns, cost analysis.

257,977 hours of Real-world Physician Dictation Speech Dataset from 31 specialties’ to train Healthcare Speech models. Our de-identified dataset for healthcare include 31 different specialties audio files dictated by physicians describing patients’ clinical condition and plan of care based on physician-patient encounters in the hospital/clinical setting.

In order to access primary care services in Northern Ireland, patients need to register with a GP practice. Registrations can be divided into different types: first registrations, transfers from other parts of the UK, migrant registrations and service related registrations. Individual registrations will be deducted from the index of registered patients for a number of reasons including notification of death, emigration, returning to their home country, moving to Great Britain etc. There may be a lag between a patient presenting themselves at a GP Practice and completion of registration. This lag may be greater for patients who have to provide additional documentation as proof of entitlement to services. Similarly for deductions, there may be a lag in removing individuals from the index of registered patients.

Given the sensitive nature of the data, this dataset is primarily used to identify patient populations and facilitate linkage to other datasets. Some variables may be provided in aggregated format, for example age may be replaced with age band and postcode replaced with higher level geographical classifications.

GP Cypher codes and Practice numbers will not be provided.

The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

This statistic shows the estimated total market size for personalized medicine worldwide for 2022 and forecasts for 2023-2032, measured in billion U.S. dollars. In 2022, the personalized medicine market was valued at around 512 billion U.S. dollars in total worldwide. This market estimation includes not only therapeutics and diagnostics, but also nutrition and wellness products.

The Medical Care Cost Recovery National Database (MCCR NDB) provides a repository of summary Medical Care Collections Fund (MCCF) billing and collection information used by program management to compare facility performance. It stores summary information for Veterans Health Administration (VHA) receivables including the number of receivables and their summarized status information. This database is used to monitor the status of the VHA's collection process and to provide visibility on the types of bills and collections being done by the Department. The objective of the VA MCCF Program is to collect reimbursement from third party health insurers and co-payments from certain non-service-connected (NSC) Veterans for the cost of medical care furnished to Veterans. Legislation has authorized VHA to: submit claims to and recover payments from Veterans' third party health insurance carriers for treatment of non-service-connected conditions; recover co-payments from certain Veterans for treatment of non-service-connected conditions; and recover co-payments for medications from certain Veterans for treatment of non-service-connected conditions. All of the information captured in the MCCR NDB is derived from the Accounts Receivable (AR) modules running at each medical center. MCCR NDB is not used for official collections figures; instead, the Department uses the Financial Management System (FMS).

The Medical Device Reporting (MDR) dataset lists the Center for Devices and Radiological Health CDRH's database information on medical devices which may have malfunctioned or caused a death or serious injury during the years 1984 through 1996.

Predict earnings surprises, measure growth across procedures and infusion therapeutics, and track macro utilization trends derived from domestic medical claims. Leo medical claims data is sourced from the largest US healthcare claims clearinghouse.

North America's Medical Imaging Software Market is Segmented by Imaging Type (2D Imaging, 3D Imaging, 4D Imaging), by Applications (Dental, Orthopedic, Cardiology, Obstetrics and Gynecology, Mammography, Urology, and Nephrology), by Country (United States, Canada). The Market Sizes and Forecasts are Provided in Terms of Value in USD for all the Above Segments.

According to Cognitive Market Research, The Global Medical Billing Outsourcing market size is USD 12.6 billion in 2023 and will expand at a compound annual growth rate (CAGR) of 12.80% from 2023 to 2030.

The demand for medical billing outsourcing is rising due to the increasing government investment in healthcare infrastructure in many countries will be a key growth driver for the medical billing outsourcing industry.
Demand for Hospitals remains higher in the medical billing outsourcing market.
The Outsourced category held the highest medical billing outsourcing market revenue share in 2023.
North American medical billing outsourcing will continue to lead, whereas the Asia-Pacific medical billing outsourcing market will experience the most substantial growth until 2030.

Regulatory Complexity and Compliance Requirements to Provide Viable Market Output

One of the key drivers in the medical billing outsourcing market is the increasing regulatory complexity and stringent compliance requirements within the healthcare industry. The ever-evolving healthcare landscape, including frequent changes in coding standards, billing regulations, and insurance requirements, necessitates specialized expertise. Outsourcing providers equipped with a deep understanding of these complexities offer healthcare organizations a strategic advantage in navigating compliance challenges, reducing errors, and ensuring accurate billing submissions, thereby driving the demand for outsourcing services.

Big Data, AI, and automation helped Access Healthcare speed healthcare outsourcing in August 2022. The business provides its clients with significant financial outcomes by leveraging analytics, automation, and worldwide distribution.

(Source: www.accesshealthcare.com/blog/access-healthcare-accelerates-healthcare-outsourcing-with-automation-ai-and-big-data)

Technological Advancements and Automation to Propel Market Growth

Another significant driver is the continuous advancement of technology and the integration of automation solutions in medical billing processes. The complexity of healthcare billing tasks, coupled with the need for accuracy and efficiency, has prompted the adoption of advanced technologies such as artificial intelligence, machine learning, and robotic process automation. These technologies enhance billing accuracy, streamline workflows, and reduce manual errors, contributing to improved efficiency and faster reimbursement cycles. As healthcare providers increasingly seek modern solutions, the adoption of technological advancements becomes a key driver propelling the growth of the medical billing outsourcing market.

The developer of revenue cycle management solutions, Reventics offers provider engagement solutions to enhance physician compliance and reimbursement. Omega Healthcare, a well-known healthcare management solution provider that leads the extensive healthcare ecosystem, acquired Reventics in March 2022.

(Source: www.omegahms.com/omega-healthcare-acquires-reventics/)

Market Dynamics of the Medical Billing Outsourcing

Data Security Concerns and Compliance to Restrict Market Growth

A notable restraint in the medical billing outsourcing market is the heightened concern regarding data security and compliance. As healthcare organizations entrust sensitive patient information to outsourcing providers, there is a growing emphasis on stringent data protection measures. The industry is subject to various privacy regulations, such as the Health Insurance Portability and Accountability Act (HIPAA), and any lapses in compliance or data breaches pose significant risks. Addressing these concerns and ensuring robust cybersecurity measures are critical to overcoming this restraint and fostering trust between outsourcing providers and healthcare entities.

Impact of COVID–19 on the Medical Billing Outsourcing Market

The COVID-19 pandemic has had a notable impact on the medical billing outsourcing market. As healthcare systems worldwide grappled with the surge in COVID-19 cases, providers faced unprecedented challenges, including increased administrative burdens and financial strains. Many healthcare organizations turned to outsourcing their medical billing processes to external service providers as a strategic response to manage the surge in billing complexities, ensure timely reimbursement, and maintain financial stability. The demand for ou...

Graph and download economic data for Personal consumption expenditures: Outpatient services: Paramedical services: Other professional medical services (chain-type price index) (DOMDRG3A086NBEA) from 1987 to 2024 about medical, professional, chained, PCE, consumption expenditures, consumption, personal, services, GDP, price index, indexes, price, and USA.

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Medical Terminology Software Market Size 2024-2028

The medical terminology software market size is forecast to increase by USD 2.76 billion at a CAGR of 24% between 2023 and 2028.

The market is witnessing significant growth due to the increasing focus on minimizing medical errors and enhancing efficiency in healthcare information management. The adoption of Healthcare Information and Communication Technology (HCIT) is a major growth factor, as medical terminology software enables seamless data integration with other healthcare information systems, such as Electronic Health Records (EHRs) and medical devices. Furthermore, the use of medical terminology software in health insurance and claims processing facilitates accurate coding and reimbursement. However, challenges persist In the development of healthcare software, including data security and privacy concerns, interoperability issues, and the need for ongoing updates to keep up with changing medical terminology and coding systems.

What will be the Size of the Medical Terminology Software Market During the Forecast Period?

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The market caters to healthcare organizations, including hospitals and hospital departments, to enhance the efficiency and accuracy of medical record-keeping and communication. With the increasing adoption of Electronic Health Records (EHRs) and the growing focus on interoperability, medical terminology software plays a crucial role in ensuring data consistency and reducing medical errors. Compliance obligations, such as those related to reimbursement and quality reporting, further drive the demand for these solutions. Decentralized clinical trials and R&D operations also benefit from medical terminology software, as it facilitates data aggregation and integration. Moreover, the software aids in data quality improvement, public health surveillance, and decision support, enabling better patient safety and care.
Medical billing, hospitalizations, claim submissions, and clinical studies are other areas where medical terminology software contributes significantly. The market is expected to grow steadily due to the increasing need for standardized medical terminology and the ongoing digitization of healthcare services.

How is this Medical Terminology Software Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Healthcare providers
  Healthcare payers
  Healthcare IT vendors


Type

  Services
  Platforms


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By End-user Insights

The healthcare providers segment is estimated to witness significant growth during the forecast period.

Medical terminology software is a crucial tool for various healthcare providers, including hospitals, clinics, doctor offices, and long-term care facilities. This segment of the market refers to organizations that deliver medical services and care to patients. The software is integral for accurate and consistent clinical documentation, coding, and data sharing. Hospitals, ranging from small community hospitals to large academic medical centers, utilize to streamline patient data administration, expedite clinical workflows, and support billing and coding processes. Compliance obligations, patient safety concerns, and interoperability are significant drivers for the adoption of medical terminology software in healthcare organizations. Additionally, healthcare providers must adhere to government norms and regulatory frameworks, which further highlights the importance of reliable data sharing and data integrity.

Medical terminology software facilitates decision support, reimbursement, data aggregation, data integration, quality reporting, public health surveillance, hospitalizations, claim submissions, medical billing, clinical studies, and R&D operations.

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The healthcare providers segment was valued at USD 277.60 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 45% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American market is projected to expand due to escalating healthcare expenditures. This growth can be attributed to significant investments in major federal healthcare programs, incl

According to a survey carried out in Mexico in 2021 among people that had remote medical consultations, close to 60 percent of respondents had used telemedicine for clarification of doubts, while nearly 20 percent stated they had complete general medical appointments remotely. According to the same study, the telephone was the most frequently used communication tool for remote medical consultations in the Latin American country,

The Global Medical Transcription Software Market size is expected to be USD 190.2 Bn by 2032 from USD 77.8 Bn in 2022, at a CAGR of 9.60%