How Big Data Analytics Can Revolutionize the Healthcare Sector

Big Data Applications are revolutionizing healthcare globally, helping doctors share best practices as well as treat patients. Some Applications even combine live streaming with instant messaging and networking, resulting in improvements in the quality-of-life for patients.

According to the report "Healthcare Analytics/ Medical Analytics Market by Application (Clinical, RCM, Claim, Fraud, Supply Chain, HR, PHM), Type (Prescriptive), Component (Service, Software), Delivery (On-premise, Cloud), End User (Hospital, Payer, ACO, TPA) - Forecasts to 2021," by research firm Markets and Markets, the global healthcare analytics market could reach $24.55 billion by 2021 from $7.39 billion in 2016, at a CAGR of 27.1%. Back home, several Indian healthcare providers are also experimenting with the technology.

Hospitals Develop Innovative Data Analytics Tools

Some Big Data Apps provide access to interactive educational library with live streams, training courses, along with in-house virtual reality, augmented reality productions and points of view. Such features help physicians run through millions of research papers as well as genetic sequencing data, conducting high-speed analysis, sifting through treatment records globally, and delivering insights into patients with specific DNA sequence or blood group. Doctors can benchmark patients with previous occurrences as well as analyze how patients with certain genes respond to different treatments, helping them in informed decision-making that is based on facts and not judgment.

Big Data Insights for Preventing Spread of Infection

Disease outbreaks are detected retrospectively, either after they have been resolved or when they are beginning to wane. Collection and timely feedback of infection patterns is a challenging task faced by any hospital. There is a need for reduction in infection-related adverse clinical outcomes to cut down the cost and length of stay due to hospital acquired infection and secondary complications. Microbiology data has an important role to play in controlling disease.

This includes early recognition of clusters of outbreaks and notification and collaboration among healthcare teams. It takes a lot of time and resources to analyze huge quantities of structured data generated from laboratory reports. This leads to complexity of care process and slower patient recovery. The big data solution can ensure timely analysis and communication of infection surveillance. Hospitals can include the analytics in the Hospital Information System (HIS).

How Big Data Analytics Model Works

A multi-dimensional analytical engine processes the Big Data of clinical laboratory reports and analyzes it. The analytics is deployed for clinical use. This model is integrated in the hospital system and provides clinical data for analysis and measures the spread of infection in hospitals. The tools also provide data summaries and trends.

Tremendous Turnaround in Healthcare Metrics

Earlier the analysis and communication of infection control data took weeks, resulting in delay in treatment and thus increased costs. The implementation of Big Data Analytics brings the process of analysis close to real time. The process that typically takes three weeks happens in real time and is available for direct and rapid decisions. The data is entered into the electronic medical record (EMR). The solution is deployed in all forms of care, not being limited to hospitalization. This ensures infection control is clinically monitored at all levels within the health system. Solutions provide multidimensional analysis across infection patterns and antibiotics resistance in one integrated view to aid treatment options as well as diagnosis.

General Outcomes and Business Benefits

Big Data Applications can help in a number of ways such as devising a standardized approach to quick notification of infection control, increased speed of diagnosis as well as collaboration in clinical care along with better outcomes and decreased treatment costs.

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Muqbil Ahmar

Muqbil Ahmar is a tech evangelist, environmentalist, women's rights advocate, editor, and founder of He writes on ...

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