Healthcare Analytics
Analytics is revolutionizing the healthcare industry by turning vast amounts of patient, clinical, and operational data into actionable insights. Through advanced data analytics techniques, healthcare organizations can enhance patient care, optimize operational efficiency, and improve overall decision-making processes. Healthcare analytics enable providers to identify patterns, predict patient outcomes, and personalize treatment plans, leading to more accurate diagnoses and better patient care.
By harnessing the power of predictive analytics, big data, and real-time reporting, healthcare organizations can move toward a more proactive, data-driven approach. This transformation not only enhances patient outcomes but also ensures that healthcare systems operate with greater efficiency and effectiveness. To know more, read our Healthcare Analytics special issue.
Driving Change Through Data Analytics: The Crucial Component to Operating Room Success
By Autum Shingler-Nace, VP of Perioperative and Procedural Operations, Copper Health University Today’s healthcare landscape is complex. Health systems are highly focused on efficiency, productivity, and optimal patient outcomes; however, being efficient while maintaining high level of quality and impeccable ...
The Case for the Healthcare Data Scientist
By Chris Kelly, Associate CMIO for Data and Analytics, MultiCare Health System No one in healthcare will forget March 2020, staring down the worst pandemic in living memory. Society shut down. People started dying at unheard-of rates in Italy, and ...
Innovation in the Crucible of Crisis
By Kerri Webster, VP/Chief Analytics Officer, Children's Hospital Colorado It is simply not possible in today’s world to talk about technology and healthcare without playing the acronym Scrabble or buzzword Bingo - AI, ML, RPA, NLP, Digital Transformation, Cyber Security, ...
Applying Intelligent Data Share Gateways for Evidence-Based Medicine and Spending
By Gary Zack, Director IT, Geisinger The objective for any business is to run efficient operations to reduce costs. The healthcare industry can benefit by using the same mindset to add value to existing traditional data sharing processes to enhance ...
Achieving your Data and Analytic Ambitions
By Casey Hossa, CIO, Cardinal Innovations Healthcare How do we achieve an organization’s data ambitions by bringing its data and analytics capabilities into alignment? Data and Analytics are often the top priority for nearly all CIOs that I speak with ...
Adding App Dev Capabilities to Your Data & Analytics
By Alexander G. Izaguirre, Chief Data Officer & VP, NYC Health + Hospitals On May of 2019, I was appointed New York City Health and Hospitals’ (NYC H+H) chief data officer. My first order of business was to lead the ...
How Big Data and AI are helping sift through data
By Karl Hightower, Chief Data Officer & SVP – Data Products and Services, Novant Health How do you use data to find long-term chronic health problems? Healthcare practitioners function in an event-based system with some discreet data points, but most ...
Qlik-Driving Data Literacy through Agile Analytics
Last year, the horrors of COVID-19 unfolded a bleak picture, putting real-time care accessibility in the foreground as a priority. From the end users’ perspective, the access to data in real time and near real time was indicative of the ...
Being data-driven leads to a new organizational structure
By Patrick McGill, MD., EVP & Chief Analytics Officer, Community Health Network Many organizations aspire to be “data-driven’ or “analytics-focused,” but what do those terms really mean? Community Health Network was no different, embarking on a data and analytics improvement ...
Utilizing Advanced Analytics Capabilities to Respond to COVID-19
By Onur Torusoglu, VP, Chief Digital & Analytics Officer, St. Luke’s Health The COVID-19 pandemic forced so many aspects of life to change and for health care to adapt in completely new ways. At St. Luke’s Health System, the need ...
5 Common Pitfalls to Avoid on Your Organization’s Data-Driven Journey
By Jason Buchanan M.D., M.S., Clinical Informatics Officer, Baylor College of Medicine Data is the new currency of the times and it will be the reason why organizations either sink or swim. The ubiquitous use of electronic health records combined ...
The role of cloud and analytics as emerging technologies in healthcare
By Jim Beinlich, Chief Data Information Officer, Penn Medicine Introduction Cloud technology and analytics have been around for quite some time. Still, they are taking on lead technology roles in healthcare, especially after the past year where working “anywhere and ...
Does your approach to data and analytics undermine Diversity, Inclusion and Equity?
By Heidi Baskfield, VP Population Health & Advocacy, Ellen Sublett, Quality Improvement Specialist, Sana Yousuf, Software Engineer, Children’s Hospital Colorado Developing an effective work that accomplishes diversity, equity, and inclusion (DEI) within an organization, requires deliberate and consistent intention to ...
The Evolving Role of Analytics in Healthcare
By Christopher Hutchins, VP, Chief Data & Analytics Officer, Northwell Health Today we are experiencing unprecedented growth in the generation of data of every kind. This is certainly true in healthcare, and with the introduction of artificial intelligence, machine learning, ...
Deploying Technologies to Enable Federated Analytics
By Brendan Watkins, Chief Analytics Officer, Stanford Children’s Health Tips:1) Leverage the excitement of data exploration and visualization technology rollout.2) Don’t let the technology overshadow the structure.3) Choose the people in the analyst layer well; they provide important insights across ...
How Technology Systems Support Quality Initiatives?
By Andy Draper PhD, CIO & Dr. Mark Radlauer, CMIO at HCA Healthcare Continental Division On June 30, 2020, IBM Watson Health announced the annual 15 Top Health System awards based on published quality outcomes from the Centers for Medicare ...
Real-world considerations for leveraging AI in Healthcare
By Marcos Salganicoff, Ph.D., Director, Data & Analytics, KPMG & Bharat Rao, Ph.D. Principal, Data & Analytics for HealthCare & Life Sciences, KPMG Bharat Rao, Ph.D. Principal, Data & Analytics AI’s potential role in healthcare is immense, and ranges from ...
Are We Ready for the 2019 version of the Tricorder?
By Priya Radhakrishnan, Faculty Physician, Medical Director, Chief Academic Officer, HonorHealth When I was a kid, I was convinced that we would be beaming up as Scotty had shown us, instead of flying or driving. I was also certain that ...
From Data to Understanding – Turning Vision into Action
By Claus Torp Jensen, CTO and Head of Architecture, CVS Health The notion of artificial intelligence has captivated our minds for decades; sometimes cast as the benefactor of an advanced society, sometimes cast as the villain of a science fiction ...
Reinventing Healthcare with Artificial Intelligence
By Sunil Kakade, Director Information Architecture & Dr. Umar Iqbal, CMIO, Dignity Health Artificial Intelligence (AI) in healthcare is likely to evolve at a more rapid pace than any other type of technological advancement. AI thrives on data. Currently, the ...
Health Data Cube – Implementation of a data pre-aggregation platform for improving information availability
By Dr. Omid Shabestari, Director of Health Analytics & Shea Jessee, Team Lead, Carilion Clinic What is the average number of medication orders per inpatient visit? Where are the highest ratios occurring? Is this unique to certain medications? Which providers ...
7 Practical Tips for Implementing Predictive Models in Healthcare
By Mark Weisman, CMIO, Peninsula Regional Medical Center If you are fortunate enough to have a brilliant biomedical informaticist hanging around your hospital, then understanding and implementing predictive models into your care delivery systems is second nature to you. The ...
Top of the Licensure Strategies to Better Manage an Aging Population – a Lead Role for Nurses Empowered by Analytics
By Bridget McKenzie, Chief Nursing Officer and VP of Medical Management, Conifer Health Solutions People are living longer than ever, and as the baby boomers age, providing care to an exponentially larger, complex population will place a strain on the ...
Health Care and the Promise of Explainable Artificial Intelligence (XAI)
By Tina Wallman, Sr. Director of Strategic Initiatives, Optum There has recently been a lot of talk around explainable AI (XAI). How can we open up the ‘black box’ around AI to better understand what decisions it is making, what ...
Universal Patient Identifier Can Improve Care, Save Lives
By Karly Rowe, Vice President New Product Development and Identity Management, Experian We’ve all heard in the news, and are certainly disheartened, about the opioid crisis. According to the Centers for Disease Control and Prevention (CDC), on average, 115 Americans ...
From Predictive to Prescriptive Modeling
By Chad Konchak, AVP, Health IT, NorthShore University HealthSystem Healthcare to date has seen a tremendous advance in the use of predictive modeling. However, while we have advanced with these abilities, we have also encountered a new problem: with each ...
Drowning in a Sea of Data? Six Ways to Translate Insight into Action
By Mitchell Morris, M.D., Executive Vice President, Advisory Services, Optum None of us is lacking in data. It’s coming at us from every angle, all day long. In fact, 30 percent of the world’s stored data is generated by the ...
Data Governance: A Matter of Trust
By Lee David Milligan, VP & Chief Medical Information Officer, Asante A few years after going live on our enterprise Electronic Health Record (EHR), we decided to institute Data Governance (DG). We thought we understood the problem to be solved ...
Three Keys to Using Data to Improve Patient Care and Reduce Costs
By Erin Benson, Director of Market Planning, LexisNexis Health Care Healthcare is on the brink of a significant transformation driven by the ongoing shift to value-based care and the focus on improving population health. Research has shown that socioeconomic data ...