Personalized Health Informatics Platforms for Patient-Centric Remote Care and Telehealth Optimization

Sarbeswar Hota, Bodireddy Vamalatha, Gourav Sood, Simran Kalra, Ajab Singh Choudhary, Manashree Mane and Zuleika Homavazir

Seminars in Medical Writing and Education, 2024, vol. 3, 510

Abstract: Improving telemedicine services and making virtual care more patient-centered depend on personalised health informatics systems. These platforms leverage innovative technologies such artificial intelligence, machine learning, and data analytics as healthcare systems evolve to fit a digital-first world to provide tailored treatment plans, real-time monitoring, and future-use health information. With an eye towards how they may enhance patient outcomes, improve healthcare services, and reduce running costs, this article explores how tailored health information systems might be employed in telemedicine. These instruments help to give accurate, tailored treatment that is more effective and sensitive to each patient's requirements by utilising knowledge on each patient's medical history, genetics, habits, and real-time biometrics. Combining artificial intelligence with machine learning enables constant data analysis. This gives us predictive analytics that can find early signs of health problems and help us make better decisions about care. Personalised health informatics systems also encourage patient participation by giving them tools for self-monitoring and communicating with healthcare providers. This leads to better relationships between patients and providers and better obedience to treatment plans. As remote care gets better and easier to use, doctors and nurses can take care of more patients without lowering the level of care. Also, using safe ways to share data protects patients' privacy and makes it easy for patients, carers, and healthcare teams to talk to each other. Even though there have been improvements, problems like data protection, interoperability, and following the rules are still stopping these platforms from being widely used. This paper talks about these problems and suggests ways to make them less severe. Personally tailored health information systems are a huge step forward in telemedicine. They could change the way online medical services are provided, making them more effective, easier to access, and focused on the patient.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:3:y:2024:i::p:510:id:510

DOI: 10.56294/mw2024510

Access Statistics for this article

More articles in Seminars in Medical Writing and Education from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().