Use Data to
Improve
Patient Care

Derive meaning from healthcare data, predict outcomes,
develop strategy and focus the right effort
on the right patients with Veera.

LEVERAGE DATA FROM THE PAST TO HELP INFORM THE PRESENT AND FUTURE

Healthcare has always been a predictive science. A patient is assessed, a treatment provider prescribes treatment and delivers a prognosis. Ironically, healthcare analytics has focused on retrospective data. It may provide useful information, but doesn’t help identify future successes and risks. The time has come to start using data to look forward.

Predictive Analytics Can Identify Risks and Inform Critical Decision-Making

No two patients are the same. However, analyzing past data and creating predictive models can help identify which patients have a higher likelihood of particular outcomes. Armed with that information, department leads and front-line caregivers can develop proper strategy and focus the right effort on the right patients. In today’s healthcare environment, caregivers are often stretched for time and under-resourced. Predictive analytics may be just the thing that saves time, money and lives.

“A huge benefit is that across campus, whether it’s a hospital campus or any kind of business, once people realize that this is an option that can be done accurately and quickly, word spreads like wildfire. All of a sudden, you will get calls from somebody, who saw that you answered someone else’s question, asking you for help. They would have never thought to ask if you had had an outside consultant come in to fix your problem. Usually an outside source is a one-time deal. Now that you do have that in-house expertise, people want to leverage it, and that’s what’s really cool.”

DR. MICHAEL JOHNSON
Decision Support Data Scientist
St. Charles Health System

St. Charles Health System in Bend, Oregon adopted a forward looking analytic mindset that is helping them change the course of costly outcomes and negative patient experience. Predictive modeling is driving exciting changes in their daily operations and inspiring an innovative future with predictive analytics.

“This is a very hot topic in healthcare… How can we take our software products and the data that we have and turn it into information? I think that is going to play an ever-increasing role as we start moving faster and faster, and predictive analytics is really going to be the tool for improving our quality of care.”

PETER JOHNSON
Chief Information Officer, Retired
Dartmouth-Hitchcock Medical Center

Recently, Rapid Insight conducted an interview with Peter Johnson, the now-retired Chief Information Officer at Dartmouth-Hitchcock Medical Center, a post he maintained for over 25 years. In the interview, Peter talks about the quickly changing landscape in healthcare, and where he sees healthcare data analytics and predictive modeling contributing towards the future of healthcare.

Predictive Analytics Can Identify Risks and Inform Critical Decision-Making

No two patients are the same. However, analyzing past data and creating predictive models can help identify which patients have a higher likelihood of particular outcomes. Armed with that information, department leads and front-line caregivers can develop proper strategy and focus the right effort on the right patients. In today’s healthcare environment, caregivers are often stretched for time and under-resourced. Predictive analytics may be just the thing that saves time, money and lives.

“A huge benefit is that across campus, whether it’s a hospital campus or any kind of business, once people realize that this is an option that can be done accurately and quickly, word spreads like wildfire. All of a sudden, you will get calls from somebody, who saw that you answered someone else’s question, asking you for help. They would have never thought to ask if you had had an outside consultant come in to fix your problem. Usually an outside source is a one-time deal. Now that you do have that in-house expertise, people want to leverage it, and that’s what’s really cool.”

DR. MICHAEL JOHNSON
Decision Support Data Scientist
St. Charles Health System

St. Charles Health System in Bend, Oregon adopted a forward looking analytic mindset that is helping them change the course of costly outcomes and negative patient experience. Predictive modeling is driving exciting changes in their daily operations and inspiring an innovative future with predictive analytics.

“This is a very hot topic in healthcare… How can we take our software products and the data that we have and turn it into information? I think that is going to play an ever-increasing role as we start moving faster and faster, and predictive analytics is really going to be the tool for improving our quality of care.”

PETER JOHNSON
Chief Information Officer, Retired
Dartmouth-Hitchcock Medical Center

Recently, Rapid Insight conducted an interview with Peter Johnson, the now-retired Chief Information Officer at Dartmouth-Hitchcock Medical Center, a post he maintained for over 25 years. In the interview, Peter talks about the quickly changing landscape in healthcare, and where he sees healthcare data analytics and predictive modeling contributing towards the future of healthcare.

Using Predictive Analytics to Improve Patient Care

Predictive modeling involves statistical analyses of past data to create probabilities of future outcomes. In healthcare, modeling may involve data from a single facility, a community or a larger region. In each case, deep analysis of data can help inform future decision-making on a community health scale or at the individual patient level.

Hospitals and healthcare systems use predictive analytics to provide services more effectively and contain costs. Caregivers are able to better understand which patients are at greater risk of a particular outcome and focus their effort in a more targeted manner. Patients themselves may receive treatments and be prescribed medications that work best for them, based on models built with local data.

With Veera, healthcare analysts have the ability to bring data sources together for analysis and create predictive models that help focus resources and strategy appropriately to positively impact patient care.

Veera Construct is an intuitive solution that enables anyone to connect to disparate sources of data. Thanks to its easy, drag-and-drop workspace, processes can then be built to blend that data together and prepare it for analysis. Each step in the process allows users to easily perform data prep tasks, such as filtering, cleansing, deduping, aggregating and transforming data. The resulting dataset, cleaned and prepared, can then be written back to databases, exported to spreadsheets, published to dashboards, shared with teams, or analyzed on an ad hoc or scheduled basis.

Veera Predict automatically mines that data, examines the strength of the relationships among variables, and builds a reliable, defendable predictive model based on the outcome you’re looking to solve for. Fully transparent and customizable, you can use your own expertise and knowledge of your dataset to force variables in or out of the model, and assess the ingredients that contributed to the model.

In healthcare, models can be built to predict and improve patients’ length of stay, risk of infection, risk of readmission, utilization of services and many other areas. Since Veera Predict can automatically build models to solve for any particular variable or outcome, there are no bounds to the questions that can be explored.

Veera Bridge is the powerful connector from the analyst to the broader team. Automatically refreshed dashboards can be shared with stakeholders, from leadership and department heads to caregivers on the front lines. Moreover, Veera Bridge’s innovative and shockingly simple cloud-based data exploration tool inspires curiosity and allows anyone, with any skillset, to dig into the data themselves. Veera Bridge’s easy access to data puts data exploration power in the hands of your entire team to get immediate insights that can impact patient care.

Using Predictive Analytics to Improve Patient Care

Predictive modeling involves statistical analyses of past data to create probabilities of future outcomes. In healthcare, modeling may involve data from a single facility, a community or a larger region. In each case, deep analysis of data can help inform future decision-making on a community health scale or at the individual patient level.

Hospitals and healthcare systems use predictive analytics to provide services more effectively and contain costs. Caregivers are able to better understand which patients are at greater risk of a particular outcome and focus their effort in a more targeted manner. Patients themselves may receive treatments and be prescribed medications that work best for them, based on models built with local data.

With Veera, healthcare analysts have the ability to bring data sources together for analysis and create predictive models that help focus resources and strategy appropriately to positively impact patient care.

Veera Construct is an intuitive solution that enables anyone to connect to disparate sources of data. Thanks to its easy, drag-and-drop workspace, processes can be built to blend together and prepare that data for analysis. Each step in the process allows users to easily perform data prep tasks, such as filtering, cleansing, deduping, aggregating and transforming data. The resulting dataset, cleaned and prepared, can then be written back to databases, exported to spreadsheets, published to dashboards, shared with teams, or analyzed on an ad hoc or scheduled basis.

Veera Predict automatically mines that data, examines the strength of the relationships among variables, and builds a reliable, defendable predictive model based on the outcome you’re looking to solve for. Fully transparent and customizable, you can use your own expertise and knowledge of your dataset to force variables in or out of the model, and assess the ingredients that contributed to the model.

In healthcare, models can be built to predict and improve patients’ length of stay, risk of infection, risk of readmission, utilization of services and many other areas. Since Veera Predict can automatically build models to solve for any particular variable or outcome, there are no bounds to the questions that can be explored.

Veera Bridge is the powerful connector from the analyst to the broader team. Automatically refreshed dashboards can be shared with stakeholders, from leadership and department heads to caregivers on the front lines. Moreover, Veera Bridge’s innovative and shockingly simple cloud-based data exploration tool inspires curiosity and allows anyone, with any skillset, to dig into the data themselves. Veera Bridge’s easy access to data puts data exploration power in the hands of your entire team to get immediate insights that can impact patient care.

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