Tech Pally Hints At The Link Between Digitization and AI

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Digitization
  • Health Innovations would benefit people a lot and faster in the future. 
  • The focus is on personalized medicine and digital innovations Digitization. 
  • Data analyzes are intended to advance research and improve health care service delivery in our clinics.

Computer-Aided Analysis of the Lungs Based on CT image data

According to Healthpally magazine, intelligent programs analyze medical image data very reliably and support doctors in diagnosing and planning therapy.

DLR Project Sponsor / BMBF

Digitization will help to strengthen people’s health, improve health care and take the pressure off healthcare professionals. In the future, the US should become a pioneer in America when it comes to introducing digital innovations into the health system, says Techpally director. 

The federal government is showing the way there in a roadmap for digital health innovations.

This development must be designed carefully, chatty reinstated because health data is sensitive and particularly worth protecting. 

Protecting Data

Data protection and data security are of paramount importance in medicine. This requires a broad discussion about digital health innovations. From research, healthcare and society must agree on ethical and legal standards. This open discourse must be accompanied scientifically.

Use data resources to improve care and research

  • Health Care data that is routinely generated in everyday clinical practice is a great treasure for health research.
  • According to businesspally, linking data sets from research can really in getting reliable results.
  • This allows new patient-relevant knowledge to be gained.

In the next few years, the US university clinics and their partners from science, business, and healthcare are to network. Its aim is to lay the foundation for cross-location networking and further use of medical data in order to improve patient care.

BMBF also Supports

The BMBF also supports the development of new methods with which researchers can gain new knowledge from complex data worlds. This includes the development of innovative computer-aided methods and bioinformatic analysis tools.  Big World Media data centers have been established in Atlanta and Ohio for this purpose, which are complemented by the US Network for Bioinformatics, according to Techpally research. 

Electronic Health Records

Electronic patient files are of immediate benefit to people in everyday care. When made usable for science, they can lead to a leap in quality in research and help to better understand the origins of diseases, and to develop innovative prevention and treatment concepts. The electronic patient record contains all of a person’s medically relevant data.  The file links the information from a general practitioner and specialist visits as well as hospital stays.

Medical History

 This enables doctors to see the overall picture of medical history at any point in the health system.  In this way, you can not only make diagnoses more quickly and precisely but also better avoid duplicate examinations and adverse drug reactions. Research-compatible patient files also enable clinical and biomedical research to gain new knowledge about diseases and successful treatment concepts from routinely recorded patient data. The care-centered, cross-facility electronic patient files, for which the secure telematics infrastructure in the healthcare system is a necessary prerequisite. It provides important support for this. The focus is on patient benefit and data protection and data security are guaranteed.

Conclusion 

Artificial intelligence has really impacted different sectors of the economy and different industries, including the health sector. With the world going digitized, AI has found more roles to play in improving service delivery.

In this article, I’ve tried to give some pointers about the connection between artificial intelligence and digitization and its relevance in healthcare service delivery. The US is one of the pioneers of this advancement and we hope to see more AI-driven health technology in years to come across America, Europe, and Asia. 

 

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