Currently, the role of the patient is evolving into that of a consumer, and therefore, the demand for better treatment is on the rise.
Government agencies and technology leaders are finally working together to solve the massive issue of dissecting and pulling actionable insights from the billions of healthcare data sets that exist today.
In a world where healthcare reimbursement models are changing, care is moving towards an outcome based compensation model, and industry information exists in many different sources and formats (like images, video, text, numerical data, multimedia, paper, electronic records, etc.,), it’s no surprise that the massive amount of healthcare data is incredibly complex and difficult to sort, organize, and decipher.
Procedures and terms can be, and usually are, identified differently from one department to the next. A claims department may categorize a procedure by a mix of numbers and letters, whereas the doctor refers to the procedure by a term more commonly known to the patient and a more advanced medical term in his or her vernacular.
In addition, inconsistent definitions exist for various terms, and on top of that, there’s structured and unstructured data that makes it hard to aggregate and maintain.
According to McKinsey, big data analytics can enable more than $300 billion in savings per year in U.S. healthcare alone.
This year, at the Healthcare Information and Management Systems Society (HIMSS) Annual Conference, over 40,000 healthcare IT professionals, clinicians, executives, and vendors from around the world will come together to discuss ways to improve the quality, cost-effectiveness, access, and value of healthcare through information technology.
Digital transformation is driving better patient outcomes in healthcare through the use of preventative care applications, personalized and precision treatment, and quicker and easier access to patient information.
Patients are starting to take control of their own health, monitor potential health issues via mobile apps, and quickly and easily communicate with their physicians. I’m wearing my FitBit as I write this blog….
ASCO and its dedication to cancer treatment:
The American Society of Clinical Oncology (ASCO) a nonprofit, professional oncology society is transforming care for cancer patients with its new solution, CancerLinQ.
Through personalized and precision medicine, doctors are able to create treatments tailored down to a micro bucket and/or individual level. They can determine how a certain treatment will affect people with a certain gene, and also benchmark past instances of a disease with a current case.
Visit HIMSS Booths 14060-14087 on March 1st from 4:00PM-4:00PM PT to join ASCO CEO, Kevin Fitzpatrick discuss how the organization is unlocking knowledge from the medical records of the 97% of cancer patients not involved in clinical trials, enabling better, more data-driven decision making.
ASCO will also showcase their success on March 2 from 12:00PM – 12:30PM in SAP Booth #5825.
On Tuesday March 1st from 4:45pm-5:15pm, in show floor Booths 15000-15209, Dinesh Vandayar, Vice President SAP Personalized Medicine will discuss the newly released SAP Foundation for Health and applications like SAP Health Engagement which help support deeper insights and connect health data silos.
At any time throughout the event, to learn more about how advanced analytics and flexible in memory computing platforms are facilitating these breakthroughs in treatment, visit SAP Booth #5828.
There, SAP and its partners will explain how mission-critical unstructured, public, private, and experimental health data can be best leveraged to ultimately save lives.
Additional HIMSS 2016 sessions:
You can attend one, some, or all of the following six HIMSS sessions to learn how different healthcare organizations are innovating and reimagining personalized medicine through the use of advanced data analytics.
Mercy Health System: discussing Perioperative Services analytics that improved quality outcomes and reduced delivery costs.
MemorialCare Health System: discussing the use of advanced analytics in managing enterprise-wide, at-risk Sepsis patients and on demand revenue cycle performance analytics.
Sutter Health: discussing analytics and data aggregation managing ACO Shared Savings program.
Sentara Health: discussing improving efficiencies in medical group scheduling and operations using SAP HANA Analytics.
Hasso Plattner Institute: discussing the latest research results of applying in-memory technology for life sciences and applications built on top of our federated in-memory computing platform.
For more detailed information, click here.
Connect with me before, during, or after the event on Twitter at @CMDonato and use hashtag #HIMSS16.