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Cognitive Computing Technology

What does ProsumerSoft design and develop?

At ProsumerSoft, we conduct Cognitive Computing Technology, Research and Development - R&D, in order to develop innovative technology for Healthcare Providers, i.e., Hospitals, Clinics, Physicians, Radiologist, Registered Nurses - RNs, Emergency Medical Technicians - EMT, Medical Researchers, Scientists, etc.

We integrate Cognitive Computing into:

Health Information Technology - HealthIT / HIT
Health Technology - HealthTech
Digital Health Technology - Digital Health
Medical Technology - MedTech
Mobile Health Technology - mHealth
Wearable Health Technology - Wearables
AND MORE

We design and develop innovative intelligent technology, that help Healthcare Providers save lives.

Healthcare Cognitive Computing Technology
Medical Cognitive Computing Technology

What is Cognitive Computing?

Cognitive Computing is the individual technologies that perform specific tasks that facilitate Human intelligence. Cognitive Computing are Smart Decision Support Systems. Cognitive Computing focuses on mimicking Human Behavior and Human Reasoning to solve complex problems.

What are the differences between Cognitive Computing and Artificial Intelligence - AI?

  • Cognitive Computing tries to replicate how Humans would solve problems while Artificial Intelligence - AI seeks to create new ways to solve problems that can potentially be better than humans.
  • Artificial Intelligence - AI is not intended to mimic human thoughts and processes but to solve a problem through the best possible algorithm.
  • Cognitive Computing is not responsible for making the decision for Humans.
  • Cognitive Computing supplements information for Humans to make decisions.
  • Artificial Intelligence - AI is responsible for making decisions on their own minimizing the role of humans.
  • Cognitive Computing applications include Speech Recognition, Sentiment Analysis, Face Detection, Risk Assessment, Fraud Detection, etc.
Cognitive Computing HealthIT
Cognitive Computing HealthIT
Cognitive Computing HealthIT

Cognitive Computing performs exceedingly well at pattern identification in individual patients. Medical sensors perform the monitoring and diagnosis of the patient, not only fully understands the patient’s condition (including their disease and its treatments, social/contextual environment, patient needs, and prognosis) but also makes correct decisions on which treatment(s) are appropriate, if any.

Clinical Trials which demonstrate the clear clinical benefit of Cognitive Computing versus the standard of care (SOC, i.e. a clinician). This clinical benefit demonstrates an improvement in patient outcomes, such as decreases in morbidity and mortality.

The cost effectiveness of Cognitive Computing in Healthcare and Medical care is reasonable. Cognitive Computing in Healthcare cost less than the current delivery of care model (i.e. SOC). Clinical studies require that this be demonstrated—either in lower costs at the same quality of care, lower costs and improved quality of care, or increased costs and improved quality of care (at an acceptable incremental cost per incremental unit of quality of care—termed “incremental cost effectiveness ratio” or ICER).

A cultural change in how Healthcare and Medicine is practiced. Healthcare Providers, i.e., Hospitals, Clinics, Physicians, Nurses, etc., are the main decision makers in how patients are evaluated and treated, thus building trust in Cognitive Computing technologies is vital to improving health outcomes. Cognitive Computing can help patients to get better treatment, have a quicker recovery, and lead improved lives, while doctors can diagnose better and save millions of lives.

Some of the many advantages of Cognitive Computing:

There are significant advantages of utilizing cognitive computing for healthcare. These include:

Faster Medical Research:

Massive quanta of data can be easily analyzed. This is possible due to the ability to collect, juxtaposing and cross-referencing data. Medical records and information will made accurate and up-to-date. This will enable practitioners to develop the proper insight and plan for the provision of the best quality patient care thanks to individualized treatment plans. Furthermore, it can help uncover new insights in relationships among genes, proteins, pathways, phenotypes, and diseases.

Improvement in Daily Healthcare Processes:

It can help practitioners optimize their operational and clinical efficiency. The right technology and optimum healthcare delivery services will enable you to analyze and summarize patient information and still ensure enough time for your staff to take care of your patients.

Encourage Healthier Patient Behaviors:

By determining important findings, disease projection, it will be easier to prescribe healthy habits for the patients by convincing patients to take better care of themselves.

Improved Customer Interaction:

As per claims by tech experts, Robotics Process Automation - RPA coupled with Cognitive Computing can enrich patients’ relations by providing them with relevant and contextual information without the need for staff interaction.