Amazon Comprehend Medical Reviews & Product Details

Extracting medical data records, using into health sector applications automation. Review collected by and hosted on G2.com.

Nothing much to dislike but there is a scope of improvement in user friendliness for setup and configuration. Review collected by and hosted on G2.com.

What I like best about Amazon Comprehend Medical, it is user friendly and

very easy to operate. This improve patient care using clinical research by

understanding and analyzing the insights reports. This tool giving great facility to analyzing your health using the previous medical records. Also, amazon comprehend medical tool providing analytical prediction of any diseases which can be affected to your body by eating and according to your life style. Now days this tool covers the whole medical division by artificial intelligence system to study the medical fitness of peoples. The tools also has daily routine schedule facility which improves the health and predict the life style of humans. I highly appreciate this feature which has best component of analytical approach which has future illness prediction. Amazon providing such tool for ease of life for doctors and patients both. Peoples do not worry about their old medical records , it will save into the cloud and produces on one click. Review collected by and hosted on G2.com.

So far everything that I disliked, As of now it is not supporting patient voice

instructions. Review collected by and hosted on G2.com.

I like that all of the medical data is in one place and this is HIPAA compliant Review collected by and hosted on G2.com.

The interface is not as user friendly as it should be for an Amazon product. It is not as easy to search for something as you may think. This can be an easy program fix Review collected by and hosted on G2.com.

I like how this model has helped in the advancement of medical applications based on natural language processing. It understands specific quantities, the patient's age, symptoms, types of medications, and a variety of things, making it a wonderful NLP model for medical applications. Review collected by and hosted on G2.com.

It doesn't bother me that much, but in my opinion, I think this model can be improved to understand a wider variety of medical terminologies. Review collected by and hosted on G2.com.

the cost and utility, it also seems quite flexible Review collected by and hosted on G2.com.

I think the interface could be much more attractive and facilitate some functions Review collected by and hosted on G2.com.

easy to use, quick registration, works worldwide, anti-loss security Review collected by and hosted on G2.com.

I like the ease with which it is handled and all the tools it generates. Paying is somewhat delayed and the verification of the data. Review collected by and hosted on G2.com.

Efficiency and commitment in deliveries Review collected by and hosted on G2.com.

So far, I have been satisfied with all the services. Review collected by and hosted on G2.com.

prices,he search menu is not very friendly Review collected by and hosted on G2.com.

sometimes the page is delayed, the search menu is not very friendly Review collected by and hosted on G2.com.

- Out of the Box & Ready to use service for NLP in Medical Domain

- Helps to extract information for unstructured text data like Health Report, Lab Report, Doctor's Prescription

- Accurately identifies Medicine Name, Health Condition, Patient Attributes, etc

- No Need to write custom rules for parsing unstructured data

- Service is HIPAA eligible Review collected by and hosted on G2.com.

- Can not train model with custom rules/entity/requirement Review collected by and hosted on G2.com.

I like how this model has made the development of medical apps based on Natural language Processing sop easy. It understands specific dosages, patient's age, symptoms, types of medicines and a variety of things, which makes it the perfect NLP model for medical apps. Review collected by and hosted on G2.com.

I don't strongly dislike but I feel this model can be further trained in order to comprehend a wider variety of medical terminologies. But it's great that the user has the freedom to build their model on top of this existing engine. Review collected by and hosted on G2.com.