Modern technology is transformative and disruptive. It’s uprooting industries from retail to manufacturing. This is because, in addition to being much more efficient than ever before, it’s also introducing a multitude of new ways to get things done. Analisi dei dati e apprendimento automatico, for example, alongside a steady stream of ingested data can provide incredibly accurate insights on just about anything. In business, it can help you discern which target audiences are best to focus on. For consumers, it can do things like help you save money or cut down on energy consumption. But the real impact, the sector where it’s most crucial, has to be assistenza sanitaria and medical.

Today, hospitals and healthcare centers are under increasing pressure to reduce costs, despite a growing demand for improved performance. Achieving such efficiency seems almost impossible, yet modern technology can make it happen. Healthcare administrators and professionals can tap into a powerful, ever-growing business intelligence system to gather actionable intel and crucial planning insights.

Imagine playing a game of chess, and knowing exactly what moves your opponent is going to make, three or four moves ahead. That’s the kind of strategic benefit analisi predittiva, machine learning and related technologies can offer.

eCare21, for example, is a remote patient-monitoring system that can be used to monitor and review various health stats. Information is collected from patients using a series of smart devices like Fitbits, Bluetooth sensors, and smartphones. The data is then processed and presented via an administrative dashboard, where doctors and health professionals can review the real-time info. This allows them to keep an eye on patients who are sometimes hundreds of miles away. It’s a form of “telehealth” or network-based health services, only made possible through modern tech. And it’s all powered by digital information or data.

In che altro modo l'analitica dei dati può aiutare nel settore sanitario?

L'analisi predittiva può aumentare la precisione della diagnosi

By tapping into predictive algorithms, systems can help physicians and doctors make more accurate patient diagnoses based on ingested data, statistiche, and historical info. Figuring out what’s causing chest pain, for instance, can be difficult. The first thought may be a potential heart attack, but chest pain can also come from strains, stress and ansia, poor diet and bad posture. Therefore, physicians often have a tough time discerning whether to send a patient to an ER or hospital.

Ma un sistema di analisi predittiva può essere usato per estrarre rapidamente informazioni dai documenti dei pazienti e confrontarlo con i dati passati per consentire un rilevamento più accurato di problemi potenzialmente fatali. Il sistema può aiutare il personale medico, sulla base di un confronto tra le informazioni correnti del paziente, i vari sintomi e i dati storici, a capire se qualcuno ha un disperato bisogno di cure mediche o meno.

La telemedicina e l'attenzione a distanza sono ora possibili

Doctors and physicians are worn thin these days, dividing their attention among a growing number of patients. That’s especially true for various specialists who are in high demand. This makes it difficult to not only manage the patients they already have but also work new potential patients into their schedules.

La telemedicina o l'assistenza sanitaria a distanza può aiutare ad affrontare queste sfide. Grazie a una varietà di applicazioni mobili, strumenti online e piattaforme di rete vocale o video, i professionisti sanitari possono incontrare i pazienti faccia a faccia senza essere effettivamente nello stesso luogo. Infatti, ci sono app mobili disponibili dove si può vedere un medico online e ottenere prescrizioni per disturbi comuni come l'influenza e le allergie.

L'intelligenza di Mordor prevede che il mercato globale della telemedicina supererà $34 miliardi entro il 2020. È un mercato in rapida crescita con molto potenziale.

When healthcare professionals step away from a patient, that doesn’t necessarily mean they are taking their attention away anymore. Smart devices and remote monitoring systems can be used to collect and deliver real-time data. A doctor could be all the way across a hospital campus and still see the heart rate and current vitals of a patient who’s hundreds of feet away.

Better yet, data analytics systems can be used to provide preventative and predictive insights. Say a patient’s vitals begin dropping slowly while a doctor isn’t present. A remote monitoring system can send alerts to the appropriate professional who can then rush to the aid of the patient before anything even happens.

Far progredire la ricerca farmaceutica e i piani di trattamento

Diversi ricerca companies, including BERG Health, are using scienza dei dati and data analytics to build algorithms and predictive systems to better treat major diseases. BERG focuses on the cancer medication market and is currently using data to create a profile on effective medicine. This allowed them to develop il farmaco BPM 31510che aiuta a rilevare e a innescare la morte naturale delle cellule danneggiate dal tessuto canceroso.

In breve, i dati noti, se compilati e analizzati in modo appropriato, possono fornire una ricchezza di intuizioni sul trattamento dei principali problemi di salute. Possiamo imparare modi migliori per combatterli e sviluppare farmaci e trattamenti migliori per i pazienti colpiti.

We know chemo is one of the best ways to treat certain types of cancer. It’s also incredibly damaging to the human body, causing many additional issues or symptoms that can negatively impact a patient’s life. What if we could find a way to improve chemo treatments, mitigating or eliminating some repercussions of its use? This is nothing more than theoretical at this point, but data analytics could be used to do something like this. Through ingestion of historical, current and situational data we can further improve healthcare, drugs, and treatments for all.

In the end, it’s easy to see why data analytics is so crucial to the healthcare industry. It’s future hinges on the use of modern contextual data, its related technologies and optimized reporting. Improving the healthcare field requires growing our knowledge, which is precisely what data analytics helps us do.

In effetti, non è una forzatura affermare che con i dati giusti, possiamo efficacemente curare o trattare qualsiasi malanno conosciuto o sconosciuto che la razza umana incontrerà.