By Jessica Roulhac<\/p>\n\n\n\n
In the hospital, there are no do-overs. When a signal alerts a nurse that a patient is going into cardiac arrest, every second counts. According to a published study<\/a>, a person has an increased survival rate if they receive cardiopulmonary resuscitation, better known as CPR, within two minutes. <\/p>\n\n\n\n
Brandon King, who recently graduated with a Ph.D. in textile technology management<\/a> (TTM) from the Wilson College of Textiles, put his data analytics skills to the test to help the heroes in our hospitals. He completed a three-part case study doctoral dissertation on the topic of applying data analysis and machine learning methods to model health care and textile data applications. A National Institutes of Health (NIH) grant through Duke University supported one project, which would help nurses at three hospitals evaluate response times to patients. <\/p>\n\n\n\n
It all changed after he enrolled in Computer Simulation Modeling. Textile Engineering, Chemistry and Science Professor and Department Head Jeff Joines<\/a> leads this course, which teaches students how to use a computer program known as Simio. The program allows for computer simulation, or modeling, of everything from health care situations to supply chain flow.<\/p>\n\n\n\n
Joines and King simulated hospital wings, which modeled how nurses responded to patients in cardiac arrest. Working with a large amount of data, they ran different simulations to compare results based on nurse-to-patient ratios, communication styles and hospital layouts. After countless simulations, the data revealed the most efficient way to respond to cardiac events: calling the nurse directly at the telemetry station.<\/p>\n\n\n\n
Joines and King have passed along their findings to three hospitals. Now, they await feedback as the hospitals review their recommendations. <\/p>\n\n\n\n
While they wait, King reflects. While he has always loved data, Joines pushed him even further throughout this research. King improved his ability to analyze findings and learned how to communicate results to different audiences. <\/p>\n\n\n\n
\u201cYou have to look at it from all angles,\u201d Joines says. \u201cYou\u2019re more than just a data-cruncher. You\u2019re an analyst. You have to look at the data as a whole.\u201d<\/p>\n\n\n\n
Using data to model scenarios offers flexibility. Within industries that offer little to no wiggle room for real-time experiments, simulation allows for \u201cwhat-if analysis,\u201d Joines says.<\/p>\n\n\n\n
Training students to understand both coding and communication sets future graduates apart from their peers.<\/p>\n\n\n\n
King discovered that a TTM degree fit his passion for data and helping others make impactful decisions. While at NC State, he also earned a graduate certificate in Data Science Foundations<\/a>. Today, he has a new approach to data.<\/p>\n\n\n\n
By Jessica Roulhac<\/p>\n\n\n\n
In the hospital, there are no do-overs. When a signal alerts a nurse that a patient is going into cardiac arrest, every second counts. According to a published study<\/a>, a person has an increased survival rate if they receive cardiopulmonary resuscitation, better known as CPR, within two minutes. <\/p>\n\n\n\n
Brandon King, who recently graduated with a Ph.D. in textile technology management<\/a> (TTM) from the Wilson College of Textiles, put his data analytics skills to the test to help the heroes in our hospitals. He completed a three-part case study doctoral dissertation on the topic of applying data analysis and machine learning methods to model health care and textile data applications. A National Institutes of Health (NIH) grant through Duke University supported one project, which would help nurses at three hospitals evaluate response times to patients. <\/p>\n\n\n\n
It all changed after he enrolled in Computer Simulation Modeling. Textile Engineering, Chemistry and Science Professor and Department Head Jeff Joines<\/a> leads this course, which teaches students how to use a computer program known as Simio. The program allows for computer simulation, or modeling, of everything from health care situations to supply chain flow.<\/p>\n\n\n\n
Joines and King simulated hospital wings, which modeled how nurses responded to patients in cardiac arrest. Working with a large amount of data, they ran different simulations to compare results based on nurse-to-patient ratios, communication styles and hospital layouts. After countless simulations, the data revealed the most efficient way to respond to cardiac events: calling the nurse directly at the telemetry station.<\/p>\n\n\n\n
Joines and King have passed along their findings to three hospitals. Now, they await feedback as the hospitals review their recommendations. <\/p>\n\n\n\n
While they wait, King reflects. While he has always loved data, Joines pushed him even further throughout this research. King improved his ability to analyze findings and learned how to communicate results to different audiences. <\/p>\n\n\n\n
\u201cYou have to look at it from all angles,\u201d Joines says. \u201cYou\u2019re more than just a data-cruncher. You\u2019re an analyst. You have to look at the data as a whole.\u201d<\/p>\n\n\n\n
Using data to model scenarios offers flexibility. Within industries that offer little to no wiggle room for real-time experiments, simulation allows for \u201cwhat-if analysis,\u201d Joines says.<\/p>\n\n\n\n
Training students to understand both coding and communication sets future graduates apart from their peers.<\/p>\n\n\n\n
King discovered that a TTM degree fit his passion for data and helping others make impactful decisions. While at NC State, he also earned a graduate certificate in Data Science Foundations<\/a>. Today, he has a new approach to data.<\/p>\n\n\n\n