Illustrating healthcare analytics with hospital employees

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Healthcare analytics is the process by which large scale data from the massive healthcare industry can be collected, refined and interpreted into relevant information from 4 key healthcare areas: costs, pharmaceuticals, clinical data, and patient behaviour. If there is one industry in the world that reaches everybody, it is the healthcare industry. With the power to save lives, this industry must be on a continual path towards excellence. That means constantly working to progress, cut costs and improve medicines, patient care, research, and education. This information gleaned by healthcare BI software like datapine gives invaluable insights that would otherwise be unavailable and has the power to not just improve the performance of the industry, but also to save lives.

"We were amazed how easy it was to use datapine and get the first KPIs within a couple of minutes. An average Excel user can configure and work with datapine with zero IT overhead."

Sebastian Diemer


Peoples’ lives are too important to accept mediocre medical care and only moderate improvements. With the help of a modern healthcare dashboard and healthcare analytics, both can extrapolate potentially lifesaving information and must be constantly monitored and followed.

  • Keep up with imperative, industry-wide changes that affect profits
  • Avoid excessive waiting times that damage patient-doctor relationships
  • Recognise and balance patients’ needs as well as those of medical staff
  • Optimise patient care and revenue streams
  • Take advantage of real-time data for real-life situations
healthcare analytics dashboard example: hospital KPI dashboard

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Healthcare analytics ensure better clinical performance and correspondingly better patient outcomes. Analytics tools mitigate the effect of errors clerically, financially and above all else on patient health; readmissions and misdiagnoses are avoided. It allows for a reduced operating cost while delivering higher quality services without compromising patient safety or medical staff satisfaction. Modern business intelligence software for healthcare encourage a culture of transparency, effectively improving performance, accountability and protecting the medical institution itself. It helps to accurately predict demand for services and workforce supply and planning in case of unforeseen situations that could not have otherwise been expected. Healthcare analytics software enables you to develop a thorough patient analysis, giving doctors robust insights and ultimately improving patient care. Moreover, it improves data management and sharing, reducing time spent not treating patients or ensuring their health and satisfaction. All in all, healthcare analytics guarantee a better final outcome: safe and healthy patients.

Check out these 12 real-life examples of big data in healthcare that can save people’s lives.

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healthcare analytics KPI example

A healthcare analytics software is a term used to describe collections of data in order to help managers to improve operational performance, clinical outcomes, overall efficiency and quality of hospital and healthcare services by utilising healthcare analytics tools. In order to perform successfully and improve patients’ care, a hospital must take charge of a wide range of insights, from hospital management, costs, diagnoses, and patient records. All of the big data in healthcare must be handled in the most discreet way, respecting patients’ privacy and sensible information.

Handling endless paperwork can be easily organised and managed by using a healthcare analytics software, and by choosing right healthcare metrics that create a stable data management environment and improves staff productivity while increasing patients’ satisfaction levels. In order to do so, professionals should utilise healthcare analytics tools that can connect various data sources and provide a stable management environment in which patients, doctors, nurses, families, and everyone involved in delicate situations should feel safe. That being said, business intelligence software for healthcare can utilise data to predict how many patients are expected to be received in a hospital on a daily and hourly basis, thanks to machine learning abilities and intelligent forecasts.


There are numerous ways and benefits of using healthcare data analytics software and these are just some worth mentioning:

Financial planning: Allocating funds helps financial managers and employees to do it more efficiently, decreasing possibilities for fraud activities and payment issues. Automated database systems, and intelligent data alerts can achieve maximum transparency in the finance department and enable administrators to create an efficient analysis environment.

Evaluating performance: A healthcare BI software can easily track hospital activities and generate analysis based on operational inefficiencies that would otherwise stay unnoticed. Specific actions can be taken after careful consideration of collected data that can enable decreased costs. A hospital in South Carolina found that they could save almost $500,000 annually by simply discharging patients half a day early, according to the US News and World Report.

Patient satisfaction: We have already established the importance of increasing patient satisfaction levels. Incorporating analytics with the right software enables not just administrators to handle mundane tasks much easier, but also keeping updated patients records that can remind patients to keep a healthy lifestyle based on their conditions, and decrease repetitive medical tasks.

Coordinating communication: Often times, patients require consultations from different specialists which can cause lack of sharing information between them since their busy schedule can cause a gap in communication processes. By utilising a healthcare analytics software, patients’ data, current progress, and medical history can be reviewed at any time, and any place, with the only requirement of having an Internet connection. Therefore, each individual working on the case can have updated information on their fingertips, with real-time data. Readmissions can be significantly reduced, and coordination of the medical cases improved by quickly addressing crucial patients’ data.


healthcare analytics metric example

In the last decade, healthcare organisations invested millions of dollars to create armies of administrative tasks and activities that had the goal of making better decisions and improving patients’ outcomes, but consequently didn’t increased efficiency. Analysis processes didn’t have improved technologies to create a quicker, safer, and more productive impact on the overall healthcare system and ensure cost-effective and healthy results. More and more data are collected, and more patients need care because of factors such as aging population or shortage of qualified physicians, nurses, and caregivers. These trends continue to grow, and healthcare analytics tools help the system to consolidate and manage the operational and strategic decisions every hospital is faced to confront in today’s digital age.

Emerging technologies like predictive analytics, artificial intelligence, and machine learning are transforming healthcare paradigms and cause impact directly on our lives. Access to healthcare facilities is a basic human need. However, the costs of the healthcare sector are one of the most expensive in the world, whether it is privately or publicly held. Under such circumstances, how can analytics increase efficiency? With implementing healthcare analytics software that can impact each process along the way.


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