Inside the Briefcase

How to align your visual brand guidelines and create consistently on-brand content

How to align your visual brand guidelines and create consistently on-brand content

In this ebook, we’ll explore the various themes leading...

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Jon Lombardo, Creative Lead, LinkedIn, reveals in this presentation...

2017 State of Technology Training

2017 State of Technology Training

Pluralsight recently completed an in-depth survey of 300 enterprises...

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

How Big Data is Optimizing Healthcare Design

January 27, 2017 No Comments

Featured article by Rick DelGado, Independent Technology Author

Running a healthcare facility can be complicated and at times, overwhelming. Health administrators are a lot like choreographers tasked with creating perfect harmony between the movements of doctors, nurses, patients, insurance companies, and more recently, with the rise of vocational training such as online medical transcription courses, clerical workers — medical billers and transcriptionists; and that’s just the people. Consider how the layout, location, quality and condition of a facility can impact the delicate state of balance which clinics and hospitals strive for. With seemingly innumerable variables affecting the logistical management of a health facility, it is difficult to believe that any human being could factor all of this data into their administrative efforts. And yet, it is logical to assert that successfully doing so would cause all gears of the healthcare machine to move in perfect cooperation with one another and effectively optimize the patient experience.

Some health administrators have recognized this dilemma for what it is — an inability to process and analyze large quantities of data. Upon arriving at this conclusion, they have begun using big data analytics programs to crunch the data and draw insights that have helped them to increase efficiency and improve the quality care they are able to offer. Most impressively, some healthcare professionals have utilized this technology in the process of designing new healthcare facilities – designing them in accordance with a variety of variables which are factored into the analysis process. It’s impressive what health administrators armed with this tool have been able to predict, prevent, and perfect with regards to health facility logistics. Consider some of the neat ways health professionals have put data to work to make healthcare facilities akin to well-oiled machines.

As I alluded to earlier, a health administrator’s list of concerns can be lengthy. That said, I would be surprised if patient experience was not near the top of that list. Are patients receiving top-notch care? Are they walking away with a positive impression of the facility, all things considered? One of the data tools that teams involved in the design of new healthcare facilities have been using to ultimately optimize the patient experience is known as computer simulation modeling.

Computer simulation modeling allows technicians to program various factors into a simulation in order to determine how the design of a facility will impact the patient experience. For example, a computer simulated model of the blueprint of a hypothetical hospital could tell facility planners how long it would take patients to park and walk to the check-in desk. Because of this, planners are able to test out multiple layouts, allowing them to create the most convenient and efficient parking accommodations possible.

The impact of Computer simulated modeling goes beyond the physical layout of a hospital or clinic. Perhaps even more important is CSM’s ability to simulate patterns and processes involving humans in the hospital. This means, by factoring in the rhythm of movement of hospital personnel and patient influx, CSM can predict how long it will take for patients to see their doctors under the pretenses of a host of scenarios. The idea behind this type of simulation is to configure medical professionals, check-in staff members and even help kiosks in a way that minimizes patient wait time and maximizes quality of care. Additionally, practical problems such as patient bottlenecks and shift mismanagement can be predicted and corrected through the insights provided by computer simulation modeling.

Big data has been useful not only in the design and construction of new health facilities, but in also in the optimization and renovation of existing ones as well. According to an industry publication, data technologies have been used to lower utility costs of health facilities. Insights provided by data-based technologies have allowed hospital administrators to consider numerous factors in their selection of thermal treatments for buildings. Data has also helped hospital personnel to identify reoccurring accidents and the safety hazards that cause them. This information has allowed for renovations that ultimately make the facilities safer.

Rick Delgado V How Big Data is Optimizing Healthcare Design

by Rick DelGado, Independent Author

I’ve been blessed to have a successful career and have recently taken a step back to pursue my passion of writing. I’ve started doing freelance writing and I love to write about new technologies and how it can help us and our planet.” – Rick DelGado

 

 

 

 

 

DATA and ANALYTICS , HEALTH IT

Leave a Reply

(required)

(required)


ADVERTISEMENT

Gartner Infrastructure


Gartner Application Strategies


IBC 2017

ITBriefcase Comparison Report