Buy Telemedicine Data

Telemedicine data is information about medical practitioners who use technology to diagnose and treat patients without the need for these patients to physically visit the health care facility. Datarade provides you with telemedicine data APIs, datasets, and databases. Learn more →
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Our Data Partners
IHS Markit
Based in United Kingdom
IHS Markit is a global leader in information, analytics and solutions for the major industries and markets that drive economies worldwide. Our company partne...
HealthWise Data
Based in USA
We provide 100+ health related propensities on a universe of 240 million US adults, with attributes going beyond just the traditional ailment propensities, i...
John Snow Labs
Based in USA
John Snow Labs is a data provider offering Electronic Health Record (EHR) Data, Clinical Data, Patient Data, Healthcare Provider (HCP) Data, Pharma Data, Tel...
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The Ultimate Guide to Telemedicine Data 2021

Learn everything about Telemedicine Data. Understand data sources, popular use cases, and data quality.

What is Telemedicine Data?

As technology advances, so does the medical field. The adoption of technological advancement in the medical field has resulted in online consultancy services where health care professionals can evaluate, diagnose, and treat patients in a teleconferencing kind of platform. This telemedicine landscape is slowly becoming an increasingly crucial aspect of the American healthcare infrastructure. As such, telemedicine data gives a wider overview of the current trends in ICT adoption for online patient-doctor visits for diagnosis and treatment.

How is Telemedicine Data collected?

Because telemedicine is online-based, the collection of telemedicine data is involved with the Internet of Things (IoT). The huge amounts of data being generated from these online-based medical IoT devices have provided greater insights into the world of health informatics that foster fast knowledge, analytics, and sharing of information. The collection of telemedicine data is advanced by the concepts of big data analytics and cloud computing. These systems work in a way that they identify consumer digital footprints and mine telemedicine data from them.

What are the attributes of Telemedicine Data?

Many definitions describe telemedicine as an open and constantly evolving science, as it integrates new developments in technology and adjusts to the varying health necessities in our society. Therefore, four main attributes are crucial to telemedicine datasets:
• Its core purpose is to offer clinical support
• It is intended to overcome geographical barriers, connecting a service provider with a patient who is not in the same physical location
• The data highlights the use of various forms of information communication technology (ICT)
• Telemedicine data’s main goal is to improve health outcomes without having to worry about the physical geograpical barrier.

# What is Telemedicine Data used for?
Using big data analytics, telemedicine continues to advance healthcare and improve the experience of health services for both patients and health care professionals. From the data, better diagnostic outcomes for patients are possible, thanks to the ability of medical personnel to draw information from a huge amount of medical data available online. Telemedicine data also enhances post-treatment monitoring and medication. Using this data, health providers can monitor a patient’s health remotely resulting in a significant reduction in patient’s follow-up visits to a health facility. Telemedicine data also means that health officials can access electronic health records on the cloud by a simple click of a button and made available irrespective of the location of the patient.

How can a user assess the quality of Telemedicine Data?

In assessing the quality of telemedicine data, users can opt to apply the five dimensions of QoD: accuracy, timeliness, dependability, cost, and quality of evidence (QoEvidence). Accuracy defines the degree of correctness at which a crucial data point is represented in the dataset. Timeliness highlights the quality of data in terms of currency (frequency of data update), volatility (frequency data vary in time), and timeliness (usefulness of the data based on how far back it reaches). Dependability refers to the extent to which the data can be used to advance crucial decisions, in term of delivery speed and accuracy. Cost defines the amount of money needed to buy the data. Quality-of-evidence defines the quality aspect of the data by its ability to conform to the guidelines and rules of certification and evidence-based medicine.

Who are the best Telemedicine Data providers?

Finding the right Telemedicine Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Telemedicine Data providers that you might want to buy Telemedicine Data from are IHS Markit, HealthWise Data, John Snow Labs, and Redox.

How can I get Telemedicine Data?

You can get Telemedicine Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Telemedicine Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Telemedicine Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Telemedicine Data?

Telemedicine Data is similar to Medical Imagery Data, Electronic Health Record (EHR) Data, Healthcare Provider (HCP) Data, Pharma Data, and Patient Data. These data categories are commonly used for Telemedicine Data analytics.