1. Data Analytics: The Key To Making Decisions

2. Building Leaders – Transforming Hospitals – Improving Care
Who We Are
Our Company
Our Team
Our Mission
Formerly known as Brim Healthcare we have a 45 year track record of delivering superior clinical & operating results for our clients.
Our Executive Team has experience in managing hospitals from multi-billion $ healthcare systems to community hospitals
We believe that the combination of People, Process & Technology transforms healthcare & provides the required results
Management
Consulting
Placement
Technology
Turnaround Strategy
Financial
Operations
Corporate Compliance
Board Development
Regulatory Compliance and Accreditation Preparation
Lean Process Improvement
Community Health Needs Assessments
Execuitve Recruiting
Interim Executive Placements
Mid-level and Specialty Placements
Gaffey Revenue Cycle Management
CrossTX Population Health Platform
Optimum Productivity
Update Verbiage
Building Leaders – Transforming Hospitals – Improving Care

3. Building Leaders – Transforming Hospitals – Improving Care
Clinical Consulting
Diane Bradley, PhD, RN, NEA-BC, CPHQ, FACHE, FACHCA
Regional Chief Clinical Officer
Diane began her health care career as a staff nurse in the Emergency Department of a major Medical Center. She has worked in diverse areas of nursing in acute care, long term care, and behavioral health. While in the U.S. Army, she advanced to Chief Nurse of a 400-bed field hospital, and again was appointed as the Chief Nurse in a multihospital system after the Army. Diane has been in her current position as Regional Chief Clinical Officer with HealthTechS3 for almost seven years.   In her role as Regional Chief Clinical Officer, Diane provides guidance and assistance to hospitals to integrate her expertise into operations, clinical areas, quality and patient safety, and board functions. Her special interests include mentoring and coaching clinicians, leadership development, quality and patient safety, patient engagement, conducting mock surveys, and especially addressing the unique needs of each organization and the demographic they serve.
Building Leaders – Transforming Hospitals – Improving Care

4. Building Leaders – Transforming Hospitals – Improving Care
UPCOMING EVENTS
Community Health Needs Assessment: Setting Priorities
Date: Friday – October :00 – 1:00 p.m. CDT Host: Carolyn St.Charles, RN, BSN, MBA, Regional Chief Clinical Officer
A Deep Dive: Continuous Survey Readiness – Myth Or Reality?
Date: Friday – November 4, 2016
12:00 – 1:00 p.m. CDT
Host: Carolyn St.Charles, RN, BSN, MBA, Regional Chief Clinical Officer
Social Media and The Protection Of Residents
Date: Thursday – November 10, :00 – 1:00 p.m. CDT Host: Cheri Benander, RN, MSN, CHC, NHCE-C
Clinical Integration and Care Coordination: A Means To Reducing Fragmentation
Date: Monday – November 21, :00 – 1:00 p.m. CDT Host: Diane Bradley, PhD, RN, NEA-BC, CPHQ, FACHE, FACHCA, Regional Clinical Officer
Jennifer
Building Leaders – Transforming Hospitals – Improving Care

5. Instructions for Today’s Webinar
You may type a question in the text box if you have a question during the presentation
We will try to cover all of your questions – but if we don’t get to them during the webinar we will follow-up with you by
You may also send questions after the webinar to Diane Bradley (contact information is included at the end of the presentation)
The webinar will be recorded and the recording will be available on the HealthTechS3 web site
HealthTechS3 hopes that the information contained herein will be informative and helpful on industry topics. However, please note that this information is not intended to be definitive.  HealthTechS3 and its affiliates expressly disclaim any and all liability, whatsoever, for any such information and for any use made thereof.  HealthTechS3 does not and shall not have any authority to develop substantive billing or coding policies for any hospital, clinic or their respective personnel, and any such final responsibility remains exclusively with the hospital, clinic or their respective personnel. HealthTechS3 recommends that hospitals, clinics, their respective personnel, and all other third party recipients of this information consult original source materials and qualified healthcare regulatory counsel for specific guidance in healthcare reimbursement and regulatory matters.

6. What Is Data?
Data is the information you obtain from users, such as demographic info, behavior, and activity.

7. Past Data Collection Model
Audits

8. Past and Current State Model
Audits Analysis Data Collection Actions

9. Future State Model
Source: blogs.sas.com

10. What is Analytics?
Analytics is the discovery of patterns and trends gleaned from your data. Data is more or less useless nonsense without analytics. Analytics is how you make sense of your data and uncover meaningful trends.

11. What is Data Analytics?
Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.

12. What is Predictive Analytics
Predictive analytics describes a range of analytical and statistical techniques used for developing models that may be used to predict future events or behaviors. Predictive analytics offers the following benefits: • Provides a quantitative foundation to rapidly recognize, confidently practice and rationally assess opportunities • Helps to identify the type of individuals to target, how to get in touch with them, when to contact them and what messages should be used for communicating with them Source: Technopedia. Where IT and Business Meet

13. Predictive Analytics Benefits con’t
Uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients.
Can deliver associations in data that human brains would never come up with.
Increases the accuracy of diagnoses
If self-insured, organizations can benefit from knowing costs
“Predict the next best action”Source: IBM Watson Analytics Program

14. Use of Analytics in Health Care
Use predictive vs descriptive analytics
Focus on high cost patients
Helping to predict epidemics
Improve quality of life
Identify warning signs of disease(s) earlier
Treat diseases earlier
Cure diseases
Avoid preventable deaths
Treatment models are improving

15. How to Start
The starting point of any population health model is accessing the data required. Second, group individuals by condition, age, propensity and risk. For example, pre-diabetics with high BMIs go into one bucket, elderly patients with heart conditions who live independently go into another and so on. Third, accurately segmenting the population enables providers to identify appropriate interventions for each group to prevent or, at least delay further complications. The higher the risk, the more diligent the outreach to impact positive change.

16. Risk Pyramid

17. Examples
Photo by John Tlumacki/The Boston Globe via Getty Images

18. Examples

19. Social Networks
PatientsLikeMe1 is a patient network. Is an online data sharing platform started in 2006; now has more than 200,000 patients and is tracking 1,500 diseases.

20. Data Warehousing
Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations. Source: tutorialsport

21. Functions of Data Warehouse Tools and Utilities
The following are the functions of data warehouse tools and utilities:
Data Extraction - Involves gathering data from multiple heterogeneous sources.
Data Cleaning - Involves finding and correcting the errors in data.
Data Transformation - Involves converting the data from legacy format to warehouse format.
Data Loading - Involves sorting, summarizing, consolidating, checking integrity, and building indices and partitions.
Refreshing - Involves updating from data sources to warehouse.
Source: tutorialsport

22. Missing Links
Business intelligence (BI) can be described as "a set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information.
Interoperability describes the extent to which systems and devices can exchange data, and interpret that shared data. For two systems to be interoperable, they must be able to exchange data and subsequently present that data such that it can be understood by a user.
Source: HIMSS

23. Business Intelligence (BI) Tools
Benefits of BI: 1. Predicting patient needs 2. Improving productivity 3. Quicker decision-making 4. Data mining to improve treatment options 5. Identifying at-risk patients 6. Potential avoidance of adverse occurrences

24. Interoperability Tools
Benefits of Interoperability: 1. Improved access to patient records 2. Accessibility improves faster and efficient care of chronic illnesses 3. Greater collaboration between providers through system integration – systems are linked across the continuum

25. Contextual Interoperability
Contextual interoperability – presenting relevant information in ways clinicians can use to improve the overall quality of a patient’s care and enhance documentation to ensure proper reimbursement. Source: Aventura

26. Next Steps Support a skilled and talented CIO to lead the charge
Use reliable and valid tools – DMAIC, work flow, best practice guidelines
Stay true to the data -- Don't embellish your results to say something more positive.
Display data using an accurate design.

27. Next Steps con’t
Most people are visual learners so use colors effectively
Be as simple as possible – in design, in language
It is important to look at individuals who use many resources, but what about those who don’t.
How will you keep data safe?
How will you look at data concurrently vs retrospectively? And why?

28. What the Future Holds
Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.

29. Final Thoughts
Big data analytics is a promising right direction which is in its infancy for the healthcare domain.
Healthcare is a data-rich domain. As more and more data is being collected, there will be increasing demand for big data analytics.
Unraveling the “Big Data” related complexities can provide many insights about making the right decisions at the right time for the patients.
Efficiently utilizing the colossal healthcare data repositories can yield some immediate returns in terms of patient outcomes and lowering care costs.
Data with more complexities keep evolving in healthcare thus leading to more opportunities for big data analytics.
Source:

30. Regional Chief Clinical Officer
Contact Information
If you would like to schedule
a consultation or have questions, please contact:
Diane Bradley
Regional Chief Clinical Officer
Phone:

31. THANK YOU and Hope to See You For the Next Webinar on
November 21, 2016: Clinical Integration and Care Coordination: A Means To Reducing Fragmentation
Diane Bradley, PhD, RN, NEA-BC, CPHQ, FACHE, FACHCA
HealthTechS3
Jennifer
Building Leaders – Transforming Hospitals – Improving Care