clinicgram

Smart images. Better decisions.
  • Clinicgram is a digital health solution that allows you to capture any kind of clinical images with your cell phone, introduce associated customizable clinical scales, integrate such information with the patient’s Electronic Health Record and request a second opinion on them.
  • The solution also allows to obtain a graphic representation of the values related to the evolution in time of the clinical case studied.
  • Additionally, by means of the Decision Support System based on algorithms, the clinician can obtain a list of the most used diagnoses and treatments in clinical cases similar to the one studied.
  • Clinicgram has developed Artificial Intelligence algorithms that allow to automatically determine morphological parameters of the image (e.g., in the case of chronic wounds, the perimeter, area, type of tissues or edges of the wound) and even propose diagnostic decisions (e.g., indicating if a chronic wound is infected or the expected period of maturation of an arteriovenous fistula)
  • Finally, Clinicgram offers specific services and products for the industry in relation to the development of certified algorithms of Artificial Intelligence to support the diagnosis.

* AI algorithms are currently in phase of CE class IIa IIb marking, so their use is reserved to collaborating research personnel.

Data collection time

In less than 2 minutes you will be able to:

  • Select study
  • Analyze evolution
  • Capture the image(s)
  • Enter associated clinical data
  • Integrate the data with your Clinical Information System (HIS, RIS, PACS)
  • Assess diagnoses and treatments of similar clinical cases
  • Generate a clinical report
  • Get a second medical opinion

Without clinicgram (more than 13 minutes).

How does it Work?

It is a digital solution that, organized in different modules, improves the clinical decisions of the healthcare professional using intelligent images.

clinicgram Imaging

It enables the efficient capture of nonradiological clinical images and associated metadata through the use of standard mobile devices.
  • Efficient image capture with quality improvement and normalization algorithms
  • Ability to pixelate faces.
  • Secure cloud architecture.
  • Automation of informed consent (digital).
  • The user can create his or her own clinical scales associated with the etiology of the image being captured.
  • No special hardware is required.

clinicgram RIPA

Robotic Integration and Process Automation

All the images and data captured through clinicgram can be integrated into the health center’s information system by simply pressing a button, complying with the main interoperability standards (e.g. HL7):

  • Integration capacity with the main hospital information systems (e.g. Selene®, CERNER®, SAP i.s.h.med®).
  • Integration capacity with the main Primary Care information systems (e.g. OMI AP®).
  • Capacity for integration with PACS.

In the same way, the healthcare professional will be able to access data from the patient’s Electronic Medical Record by entering the CIP code in the clinicgram (or, if deemed appropriate, a pseudo history number that guarantees security in data exchange). It is worth mentioning that at no time does the solution store data from external Information Systems in the cloud.

clinicgram Add-ons

Our add-ons provide algorithms that support the clinician in the execution of their care activities.

Decision Support System

Thanks to this powerful tool based on proprietary algorithms, the health professional can make a diagnosis or prescribe a treatment based on similar clinical cases according to parameters such as etiology, location and associated clinical scale.

Additionally, it includes analytical functions that generate relevant information and important indicators to improve decisions, both for the professional and for health managers.

Through advanced analytics we transform the data received through the clinical scales generating relevant information and important indicators to improve decisions, both of the professional and in administration and management.

Artificial Intelligence

Clinicgram has developed Artificial Intelligence algorithms that allow to automatically determine morphological parameters of the image (e.g. in the case of chronic wounds, the perimeter, area, type of tissues or edges of the wound) and even propose diagnostic decisions (e.g. indicating if a chronic wound is infected or the expected period of maturation of an arteriovenous fistula)*.

Clinicgram also offers specific services and products for the industry in relation to the development of certified algorithms of Artificial Intelligence to support the diagnosis.

* AI algorithms are currently under CE class IIa IIb marking, so their use is reserved to collaborating research personnel.

clinicgram Workflow

One of the keys of clinicgram is to favour the integration of the results of the assessment and diagnostic process in clinical practice. For this reason, the workflow module allows to trigger actions based on those results.

An example of such actions is the request of a second medical opinion to another specialist. With a single click, the healthcare professional can request and receive feedback from a reference expert, with the objective of supporting the clinical assessment and diagnosis in a fast and safe manner.

  • Establish a connection with the internal or external reference expert immediately.
  • Automates the workflow for a second medical opinion
  • Uses a secure channel.
  • Receives the second medical opinion of the studied clinical case directly integrated in the clinical scale.

Benefits

clinicgram is a Digital Health platform that allows capturing the maximum value of non-radiological images for the benefit of professionals and patients.

Health Center

Homogenizes results, reducing clinical variability (diagnosis and treatment)

Clinician

It reduces the administrative burden, thus increasing the efficiency of the professional and the time that can be dedicated to the patient.

Patient

It improves the patient’s experience, reducing the discomfort of possible invasive explorations in the office.

Health Manager

It contributes to the management of the healthcare activity by means of efficiency, quality and safety criteria.

Industry

Clinicgram is specialized in creating artificial intelligence algorithms based on multisource data (in vivo images, associated clinical scales, electronic medical records, genomics and proteomics).

Research

We collaborate with important health centers and Top hospitals in the development of Artificial Intelligence algorithms oriented to the support to the diagnosis (in chronic wound, arteriovenous fistula, cardiology, psoriasis, nebus and COVID-19, among others).

What type of image does clinicgram use?

clinicgram works with any type of non-radiological clinical image, that is, any image that can be taken with the use of a mobile device, either a tablet or a smart phone. The use of endoscopic in vivo imaging is also currently being researched.
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Ulcers

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Traumatic

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Diabetic foot

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Burns

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Ocular

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Hematomas

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Arteriovenous Fistula

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Oral

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Dermatitis

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Allergy

Product Demo

Contact us and we will respond immediately.

Security

In clinicgram, the safety of our users comes first. For this reason, our solution is safe by design. We work according to ISO 13485:2016, the GDPR regulation and we are a medical device with CE Class I marking.

ISO 13485:2016

Our quality management system is based on the ISO 13485:2016

GDPR Compliant

We guarantee the total privacy of the data introduced in the application, as well as the data of our users.

CE Class I

Medical Device CE Class I

Disclaimers

CLINICGRAM cannot and should not be used to assess, diagnose and/or decide the treatment to be administered to patients because CLINICGRAM does not recommend or validate medical diagnoses or the use of medications. The user will be solely responsible for complying with the requirements for the exercise of his profession and for applying his professional judgment when using the information obtained from CLINICGRAM for the attention and care of patients. Such information should not be considered, in any case, a substitute for the above mentioned criteria.

CLINICGRAM collects information, data and images in a general way, which can only be considered from a statistical point of view and never as a prognostic, diagnostic or treatment orientation value, which should always be based on the criteria of the health professional.

The library of cases that CLINICGRAM makes available to the health professional has statistical value and is offered for information purposes only. In no case should it be considered as a diagnosis, prognosis or treatment orientation, which should always be based on the knowledge and criteria of the health professional.

CLINICGRAM stores case history data and offers it to the healthcare professional for information purposes only. The cases collected have been treated collectively by offering statistical and trend data, without this being considered a diagnostic test, nor an indication of treatment, which should always be based on the criteria of the health professional.