Transforming Healthcare Analytics
eBook - ePub

Transforming Healthcare Analytics

The Quest for Healthy Intelligence

Michael N. Lewis, Tho H. Nguyen

  1. English
  2. ePUB (adapté aux mobiles)
  3. Disponible sur iOS et Android
eBook - ePub

Transforming Healthcare Analytics

The Quest for Healthy Intelligence

Michael N. Lewis, Tho H. Nguyen

DĂ©tails du livre
Aperçu du livre
Table des matiĂšres
Citations

À propos de ce livre

Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics

Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively.

Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results.

This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book:

  • Explores innovative technologies to overcome data complexity in healthcare
  • Highlights how analytics can help with healthcare market analysis to gain competitive advantage
  • Provides strategies for building a strong foundation for healthcare intelligence
  • Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment
  • Discusses the future of technology and focus areas in the healthcare industry

Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO's, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

Foire aux questions

Comment puis-je résilier mon abonnement ?
Il vous suffit de vous rendre dans la section compte dans paramĂštres et de cliquer sur « RĂ©silier l’abonnement ». C’est aussi simple que cela ! Une fois que vous aurez rĂ©siliĂ© votre abonnement, il restera actif pour le reste de la pĂ©riode pour laquelle vous avez payĂ©. DĂ©couvrez-en plus ici.
Puis-je / comment puis-je télécharger des livres ?
Pour le moment, tous nos livres en format ePub adaptĂ©s aux mobiles peuvent ĂȘtre tĂ©lĂ©chargĂ©s via l’application. La plupart de nos PDF sont Ă©galement disponibles en tĂ©lĂ©chargement et les autres seront tĂ©lĂ©chargeables trĂšs prochainement. DĂ©couvrez-en plus ici.
Quelle est la différence entre les formules tarifaires ?
Les deux abonnements vous donnent un accĂšs complet Ă  la bibliothĂšque et Ă  toutes les fonctionnalitĂ©s de Perlego. Les seules diffĂ©rences sont les tarifs ainsi que la pĂ©riode d’abonnement : avec l’abonnement annuel, vous Ă©conomiserez environ 30 % par rapport Ă  12 mois d’abonnement mensuel.
Qu’est-ce que Perlego ?
Nous sommes un service d’abonnement Ă  des ouvrages universitaires en ligne, oĂč vous pouvez accĂ©der Ă  toute une bibliothĂšque pour un prix infĂ©rieur Ă  celui d’un seul livre par mois. Avec plus d’un million de livres sur plus de 1 000 sujets, nous avons ce qu’il vous faut ! DĂ©couvrez-en plus ici.
Prenez-vous en charge la synthÚse vocale ?
Recherchez le symbole Écouter sur votre prochain livre pour voir si vous pouvez l’écouter. L’outil Écouter lit le texte Ă  haute voix pour vous, en surlignant le passage qui est en cours de lecture. Vous pouvez le mettre sur pause, l’accĂ©lĂ©rer ou le ralentir. DĂ©couvrez-en plus ici.
Est-ce que Transforming Healthcare Analytics est un PDF/ePUB en ligne ?
Oui, vous pouvez accĂ©der Ă  Transforming Healthcare Analytics par Michael N. Lewis, Tho H. Nguyen en format PDF et/ou ePUB ainsi qu’à d’autres livres populaires dans Negocios y empresa et GestiĂłn de la informaciĂłn. Nous disposons de plus d’un million d’ouvrages Ă  dĂ©couvrir dans notre catalogue.

Informations

Éditeur
Wiley
Année
2020
ISBN
9781119613589

CHAPTER 1
Introduction

“Without data, you're just another person with an opinion.”
— W. Edwards Deming

PURPOSE OF THIS BOOK

While there have been many improvements and changes in healthcare, Mike and I strongly believe there is still a lot to do and we want to share with you our journey to make healthcare better one patient at a time. Our motivation for this book is to share with our valued readers real-world, personal experiences and to show how technology coupled with people and process is paving the way toward the adoption of the digital transformation in healthcare. Digital transformation also makes a strong case for how healthcare organizations can do so much better because of the innovative analytical practices that we have readily available today but they are not implemented or being considered in many instances.
Whether you realize it or not, healthcare affects everyone – young and old. When you, Mike, or I were kids, healthcare was not a topic of concern. Most of us had parents or guardians to oversee our healthcare. Personally, as I have gotten older and more mature mentally and physically, healthcare has become a necessity with more regular visits to the doctor or hospital. When we become guardians and parents ourselves, we have others to think about, whether it is looking after our own kids, taking care of an elderly family member or our own parents, or even fostering children. As a new parent, healthcare is definitely a priority for my wife and kids, not only having access to healthcare but also the quality of care that we seek when needed. Healthcare affects all of us one way or another throughout our life cycle, from birth, toddler, adolescent, adult to end of life.
Healthcare affected me very personally about a year ago when my wife was misdiagnosed or missed diagnosed due to lack of data and empathy in the plan of care. It was a brisk winter morning in February when it all started when my wife complained about some back pains and stomach discomfort. My wife and I had our daily routines where I was working in my home office and she was getting our daughter ready for school. That afternoon, my wife's agonizing back pains and stomach discomfort escalated to a level beyond tolerable. Having had these symptoms in the past, she had been taking over-the-counter medications to see if they would go away. Unfortunately, they didn't and this time the pain became so much worse. Since our family doctor's office was closed due to it being after business hours, urgent care was our best option. It was late afternoon on Valentine's day and it was a day that we will never forget. Once we arrived at the urgent care, we filled out forms about my wife and symptoms that she was experiencing. The nurse asked her repetitive questions and took notes at the same time. We provided our insurance coverage details and were asked to wait. Because it was Valentine's day, the urgent care waiting room was nearly empty and the doctor was able to see us pretty quickly. The urgent care doctor asked my wife the same questions that the nurse had asked, then examined my wife but could not pinpoint the cause and a cure for the pain. The urgent care office suggested that we go directly to a nearby hospital emergency room (ER) to get a better diagnosis of my wife's condition. The urgent care nurse said that all of my wife's visit and information would be transferred to the ER and they would know what was done at the urgent care since it is affiliated with the ER hospital. Upon arrival at the ER and at check-in, there were no records and no one was aware of our arrival, situation, and condition. Thus, the traumatic drama escalated and continued on Valentine's evening.
Because all the data that was collected at the urgent care office was not in the system at the ER hospital, my wife and I had to relate all the same information again. In the midst of severe pain, I responded to most of the questions on behalf of my wife. The most obvious data such as name, address, birth date, Social Security number, insurance numbers, and gender were needed and entered on a form again before we could be checked into the ER. At this point, I could see my wife's pain had worsened and asked why there were no records and information from the urgent care office which is affiliated with the ER hospital. I questioned the repetitive process and why we had to enter the same data on the forms when my wife is a patient at the hospital and had history at the facility for over five years. The response was “We needed the data and forms to admit your wife” and we had no choice but to abide at that moment in time. After a few hours of waiting, we finally saw a nurse who asked the same, repetitive questions from the forms that we had filled out and then documented my wife's symptoms. A few more hours of waiting and we finally saw an ER doctor. The ER doctor asked the same questions as the nurse did and we felt like a broken record repeating the same information for the fourth time. Finally, the ER doctor ordered blood tests, x-rays, and a magnetic resonance image (MRI). Each procedure was executed by a different personnel and department, so we had to wait even more in the hospital room in between each test. As you can imagine, hours passed waiting for results from each test and the pain continued.
Being helpless had to be the worst feeling – unable to do anything except sit and wait with my very young daughter, whom we had brought along, thinking that we would be home within a few hours. Having a two-year-old toddler in an ER at the peak of winter when colds and flus were highly contagious was nerve-racking and worrisome. The doctor finally visited our room to give us the diagnosis. Based on the results, the diagnosis was an infection and the doctor gave my wife some prescription medication to help with the pain and antibiotics for what was diagnosed to be a urinary tract infection (UTI). I vividly remember it was 4 a.m. the next day that my wife was released from the ER and we got to go home. We would never forget how we spent that year's Valentine's Day and were happy to head home. It was a blessing that there was a path to alleviating the pain for my wife.
A few weeks later, once the antibiotics were completely consumed, my wife was feeling better and we thought she was cured with no pain in the stomach and back. Regrettably, that was not the case as the back pain and stomach discomfort returned with a vengeance. Over a six-month time span, from February when the pain started to August when it was correctly diagnosed and my wife had an operation, we had multiple visits to our family doctor, specialists, and the ER. Each time we visited a clinician and the ER, my wife had a different diagnosis which the doctors were unsure how to treat and what to do about it. Each visit required more bloodwork, x-rays, and MRIs – all of which were captured in fragmented, siloed systems from each office and there was no clear path to a cure in sight. Each ER stay was one week long and I had to communicate the history and recent visits to each nurse, doctor, and specialist at each hospital. During this time, my wife had multiple procedures and operations at various hospitals within one healthcare system but much of the data and details were not related or communicated among nurses and doctors. In the middle of summer, we had our final procedure and it was to remove an infected gallbladder, an insertion and removal of two stents to isolate the gallstone and an extremely stubborn, oversized gallstone. What should have been a simple diagnosis to detect the gallstone and removal of the gallbladder dragged on for six months with extreme pain and agony. In addition, we had multiple hospital stays that were costly and stressful.
What I learned from this experience is that:
  • Healthcare has become shallow with longer wait times and shorter face-to-face time with the doctors and clinicians with redundant processes for each touchpoint.
  • Clinicians have become data clerks and their notes are not well captured and not well communicated among themselves and within the healthcare ecosystem.
  • Healthcare data is so overwhelming due to its volume and lack of data in the same ecosystem that clinicians are unable to review and correctly diagnose the ailment and provide a cure in a timely manner.
  • The cost of each visit was astronomical and accumulated with every point of contact – the hospital check-in staff, nurse assistant, nurse, physician assistant, physician, and specialist. When we received the bill for each line item, we were very thankful to have health insurance; otherwise, we would have been in great debt. I can't imagine not having insurance.
  • Illnesses cause stressful times for families, especially the kids. Being sick and not knowing or having a care plan in sight for a cure was very traumatic for me and my daughter (who missed her mother terribly during overnight stays). My wife is a strong and patient woman who endured so much pain and agony.
The above scenario spawned the idea for this book. Mike and I have been in the data and analytics profession for over 45 years collectively and we want to educate you on concepts that can lead your organization to sustained changes and to improve clinical, operational, and financial outcomes. Over the years, data and analytics have changed considerably and have become more convoluted – particularly in the healthcare sector. Health data volumes have skyrocketed, legacy data archives are on the rise, and unstructured data will be more prevalent in the healthcare sector than in any other sector. Healthcare is the only industry that keeps all types of records from birth to end of life and that volume puts a tremendous amount of burden on healthcare organizations to maintain and manage. But it is definitely an exhilarating time that generates many challenges and great opportunities for healthcare organizations to investigate and implement new and innovative technologies to accommodate data management and analytical needs. Thus, Mike and I invite you to join us on our journey to improve healthcare outcomes with insights and to integrate data and analytics in a harmonious environment...

Table des matiĂšres

  1. Cover
  2. Table of Contents
  3. About the Authors
  4. Acknowledgments
  5. Foreword
  6. CHAPTER 1: Introduction
  7. CHAPTER 2: People
  8. CHAPTER 3: Process
  9. CHAPTER 4: Technology
  10. CHAPTER 5: Unifying People, Process, and Technology
  11. CHAPTER 6: The Future in Healthcare
  12. CHAPTER 7: Final Thoughts
  13. Index
  14. End User License Agreement
Normes de citation pour Transforming Healthcare Analytics

APA 6 Citation

Lewis, M., & Nguyen, T. (2020). Transforming Healthcare Analytics (1st ed.). Wiley. Retrieved from https://www.perlego.com/book/1425781/transforming-healthcare-analytics-the-quest-for-healthy-intelligence-pdf (Original work published 2020)

Chicago Citation

Lewis, Michael, and Tho Nguyen. (2020) 2020. Transforming Healthcare Analytics. 1st ed. Wiley. https://www.perlego.com/book/1425781/transforming-healthcare-analytics-the-quest-for-healthy-intelligence-pdf.

Harvard Citation

Lewis, M. and Nguyen, T. (2020) Transforming Healthcare Analytics. 1st edn. Wiley. Available at: https://www.perlego.com/book/1425781/transforming-healthcare-analytics-the-quest-for-healthy-intelligence-pdf (Accessed: 14 October 2022).

MLA 7 Citation

Lewis, Michael, and Tho Nguyen. Transforming Healthcare Analytics. 1st ed. Wiley, 2020. Web. 14 Oct. 2022.