Bringing Data to Life: How to Successfully Implement Predictive Analytics Laura C. Deiboldt, R.N. B.S.N.

Similar documents
Health Care. A LexisNexis Company

Case Study Analytics as Drivers in Creating a Culture of Wellness

Career Opportunities in Healthcare Analytics presented by Kaiser Permanente Northwest Region. Today s Speakers. Friday, May 13 at 1:00 pm.

Driving Change through Clinical Informatics Dorothy DuSold, MA 1

Evaluating CPSI s Accounts Receivable Management Services In Community Hospitals:

Data Integration Alternatives & Best Practices

Presented By: Leah R. Smith, PMP. Ju ly, 2 011

Chief Nursing Information Officers (CNIO) Job Descriptions

Revenue Cycle Management Transformation

Strategic Planning & Change Management 3 DAYS

TRUVEN HEALTH UNIFY. Population Health Management Enterprise Solution

ACCOUNTABLE CARE ANALYTICS: DEVELOPING A TRUSTED 360 DEGREE VIEW OF THE PATIENT

The Five Pillars of Population Health Management. Dr. Christopher Mathews Senior Vice President and Chief Medical Officer ZeOmega

The Power of One: The Challenge of Centralized Scheduling. Tamela Dodds, Danielle Stern

Critical Success Factors of Project Management Planning

KMS Implementation Roadmap

Functions & Importance of a Strategic Business Plan

Center for Healthcare Transparency

Solutions For. Information, Insights, and Analysis to Help Manage Business Challenges

MDaudit Compliance made easy. MDaudit software automates and streamlines the auditing process to improve productivity and reduce compliance risk.

Process Validation Workshops. Overview Session

Explore the Possibilities

Accountable Care: Clinical Integration is the Foundation

Clintegrity 360 QualityAnalytics

Decision. Advantage Suite Delivers Enriched Information For Improved Decision Making

The College of New Jersey Enterprise Risk Management and Higher Education For Discussion Purposes Only January 2012

Business Intelligence and Healthcare

PwC The Path Forward for Data Analysis and Continuous Auditing May 2011

NH CHIS Annual Meeting. Thursday, July 25, :00am 11:30am EDT In-person (NH DHHS Brown Building Auditorium) and WebEx

The Business in Business Intelligence. Bryan Eargle Database Development and Administration IT Services Division

OPTIMUS SBR. Optimizing Results with Business Intelligence Governance CHOICE TOOLS. PRECISION AIM. BOLD ATTITUDE.

Planning for a Successful Information Governance Program. Kathy Downing, MA, RHIA CHPS,PMP AHIMA Senior Director IG

Four Approaches to Healthcare Enterprise Analytics. Herb Smaltz, Ph.D., FHIMSS, FACHE Chairman & Founder Health Care DataWorks

04 Executive Summary. 08 What is a BI Strategy. 10 BI Strategy Overview. 24 Getting Started. 28 How SAP Can Help. 33 More Information

Begin Your BI Journey

Information Technology Services Project Management Office Operations Guide

Custom Consulting Services Catalog

Delivering value to the business with IAM

Enterprise Data Management

14 TRUTHS: How To Prepare For, Select, Implement And Optimize Your ERP Solution

Presenters. How to Maximize Technology to Improve Care and Reduce Cost 9/17/2015

IT: When Will Use Get Meaningful? Rebecca Armato Executive Director, Physician & Interoperability Services, Huntington Memorial Hospital August 2013

ERP IMPLEMENTATION BOOT CAMP

Physician Enterprise The Importance of Charge Capture, Business Intelligence and Being a Data Driven Organization

Data Governance Overview

Supporting a Continuous Process Improvement Model With A Cost-Effective Data Warehouse

6/12/2015. Dignity Health Population Health Management and Compliance Programs. Moving Towards Accountable Care. Dignity Health Poised for Innovation

Transforming the pharmacy into a strategic asset

Enterprise Analytics Strategic Planning

MINISTRY OF HEALTH ELECTRONIC MEDICAL RECORDS

Data Analytics and Wellness Programming

How to Engage and Retain Customers

WHITE PAPER APRIL Leading an Implementation Campaign to Address the Convergence of Healthcare Reform Initiatives

ORACLE HYPERION PLANNING

Business Intelligence Engineer Position Description

How to Enhance Traditional BI Architecture to Leverage Big Data

Leveraging Continuous Auditing / Continuous Monitoring in internal audit April 10, 2012

David Wohler. Vice President of Global Sourcing and Real Estate - Covidien

MEDITECH Consulting Services

The Cornerstones of Accountable Care ACO

WHITE PAPER. QualityAnalytics. Bridging Clinical Documentation and Quality of Care

Shared Assessments Program Case Study

B2C, B2B and B2E:! Leveraging IAM to Achieve Real Business Value

Accountable Care Organization Refinement Brief

Business Intelligence Project Management 101

The Promise of Regional Data Aggregation

Best Practices in Claims Management. Use of treatment guidelines and clinical logic for preauthorization and claims adjudication

New York ehealth Collaborative. Health Information Exchange and Interoperability April 2012

The Power of Analytics in the Health Care Eco System

RealTests.M questions

Medical Informatics: Transforming data into knowledge

CLINICAL DOCUMENTATION DRIVING PERFORMANCE IN THE NEW WORLD OF HEALTHCARE

How To Develop A Data Warehouse

Enterprise Data Governance

How To Save Money At The University Of California

Building for the future

Professional Level Public Health Informatician

The Business Case for Using Big Data in Healthcare

Leveraging Predictive Analytic and Artificial Intelligence Technology for Financial and Clinical Performance

LEADING AN ORGANIZATION THROUGH CHANGE A DISCUSSION

Network Rail Infrastructure Projects Joint Relationship Management Plan

LSF HEALTH SYSTEMS Information Technology Plan

Transcription:

Bringing Data to Life: How to Successfully Implement Predictive Analytics Laura C. Deiboldt, R.N. B.S.N. Enhancing healthcare, improving quality and reducing costs with award-winning predictive analytics and data mining. 9/9/2010 1

Agenda Introduction MEDai A Client s Story Implementation Strategies 9/9/2010 2

Introduction to MEDai, an Elsevier Company Elsevier, the Science, Technology & Medical (STM) division, is the leading provider of high quality scientific, technical and medical information to the academic, research and healthcare communities. ECDS Clinical Decision Support Elsevier Clinical Decision Support is a division of Health and Science dedicated to providing quality electronic health care solutions and services. Whether improving healthcare workflow, building competency through our elearning solutions or providing intelligence through data mining and predictive analytics, our aim is to improve the quality, safety and cost effectiveness of patient care. Leader in healthcare analytics and data transformation offering award-winning solutions for the improvement of healthcare delivery. Utilizing cutting-edge technology, payers and providers can predict patients at risk, identify cost drivers for their high-risk population, forecast future health plan costs, evaluate patient patterns over time and improve outcomes. 9/9/2010 3

About MEDai Robust Reporting Capabilities Core Competencies Our partnership provides a seamless platform for physicians and other stakeholders to leverage information across systems and care settings. - Dr. Bruce Taffel, Vice President and Chief Medical Officer of Shared Health Since 1992 9/9/2010 4

Our Solutions: Meeting Provider & Payer Needs Evidence-based Clinical Content Identification & Stratification Process Improvement Monitoring Care Gap Analysis Prospective Risk Identification Data Mining & Outcomes Analysis Physician Performance Analysis Regulatory Reporting Provider Solutions Population Health Management Facility & Physician Performance Benchmarking Actuarial & Underwriting Support Physician Access to Patient Medical History 9/9/2010 5

One Client s s Story 9/9/2010 6

History of a Failed Implementation History of a 2-year failed implementation of a predictive analytic tool Numerous changes in project managers Data extraction from a newly implemented Enterprise Data Warehouse There is no vendor that can meet our needs, because vendors and their solutions are not able to manage the level of detail and nuances inherent to our data. Business units were not aligned at the enterprise level 9/9/2010 7

Obstacles Staff members were significantly weary and had an aversion to the project, given the previous attempt. There was mistrust and lack of user adoption of the data warehouse. Departments were not able to articulate enterprise-wide business needs on behalf of the organization. 9/9/2010 8

Rejuvenating the Mission External consultant utilized Business user viewpoint Knowledge of the medical analytic tool industry Ability to address internal politics as a third party Knowledge of best practice data utilization and management, enterprise-wide 9/9/2010 9

Overcoming the Obstacles Option A: A medical analytics tool is implemented, and departments own a piece of the tool-pie. Option B: Managing the analytic competency as their intellectual property - not just a tool. Sales / Mktg Actuary Sales / Mktg Actuary Medical Analytics Steering Committee Med Mgmt Contracting Med Mgmt Contracting IS IS The ability to use analytics is up to each department. The ability to use analytics to advance the organization as a whole is the primary focus and lives across time. Tools are the enablers. 9/9/2010 10

All for one... Medical Analytics Steering Committee was created to obtain buy-in from multiple cross functional areas Actuary and Underwriting Information Services Medical Management Pharmacy Provider Contracting Group Reporting / Marketing 9/9/2010 11

Committee Structure Medical Analytics Steering Committee (MASC) Charter, Policies & Procedures Charter: Executives gave responsibility to manage Medical Analytics to the committee Charter User Access & Support Policy Policy Publishing of Data Policy Custom Reports/Extracts from MEDai Policy User Support Procedure User Access Procedure Procedure Internal Procedure External Procedure Custom Rpts/Extract Procedure 9/9/2010 12

The search for the tool Medical analytics tool must be used as an enterprise-wide asset. The tool must function to achieve a common approach for analyzing medical information to make business decisions 9/9/2010 13

Implementation MASC oversaw project implementation Enterprise-wide rollout of the Risk Navigator suite of tools Risk Navigator Clinical Risk Navigator Financial Risk Navigator Provider Risk Navigator Performance Risk Navigator Employer 9/9/2010 14

Medical Analytics User Support Site Includes: Public Library Data Specs Rollup Logic P&P s User Support Documentation Private Library Training documents Reports Admin Documents Usage reports Administrator documents 9/9/2010 15

Collaboration Continues MASC meets monthly User group meets monthly with MEDai Account Executive. Targeted group meets monthly to coordinate use with other tools. 9/9/2010 16

Utilization Actuary Pharmacy Case Management Quality Employer Reporting Underwriting Fraud and Abuse Health Network Services 9/9/2010 17

IMPLEMENTATION STRATEGIES 9/9/2010 18

Pre-Implementation Questions What are my organization s expectations for the application? Who will be the main users of the application? What is a realistic date for go-live? Is there a compelling event such as a contract expiration? Do we have the necessary resources available for a successful implementation? Will these be dedicated resources? 9/9/2010 19

Pre-Implementation Questions How well do you know your data? What sources do you have to pull data from? Are there available resources to answer any questions? Are there any barriers to a successful implementation? Competing IT Project? Upcoming Accreditation Visit? 9/9/2010 20

Client Implementation Resources Dedicated Project Manager Aligns client resources Operational Lead Assists in data mapping discussion Answers the question how will the application be used IT Staff Provide data extracts Assist with data mapping issues Senior Sponsor Understands the project's importance Directs the project team 9/9/2010 21

Vendor Implementation Resources Project Manager Data Mapping Assistance Operations Application use Training 9/9/2010 22

Vendor Questions What format do we need to submit the data in? How much assistance will we receive with data mapping? Is there an additional charge? Will there be regular calls to discuss issues, questions, etc.? Can we supply a test file? How much data do we need to provide? What is the turn around time for processing? 9/9/2010 23

Vendor Questions How will files be provided to you? Is there a secure FTP site for file upload? When do I submit the data to you? Is there a deliverable schedule? How are data issues handled? Will data issues suspend processing? How are submission delays handled? Will there be a delay in receipt of data? 9/9/2010 24

Training Prep Questions Determine training approach Is training at your (client) offices? Is self directed/web training available? How many staff can be involved in a training class? Do you support train the trainer? Length of training? Can we receive sample training materials prior to training? 9/9/2010 25

Training Prep Questions Potential Vendor to Client Questions What is your expectation for training? How would you like training sessions structured? I.e. Do you want like staff such as case managers trained together? Do you need a separate training session dedicated to management? Will there be an individual who will be responsible for on-going training? Is there a training room with individual computers? 9/9/2010 26

Post Go Live Questions How are issues handled? Who are issues reported to? Is there a client point person for issues? Who is my point of contact? Is refresher training provided? If so, is there an additional cost? 9/9/2010 27

Post Go Live Questions Will there be regular calls after go-live? What type of support do we need to provide to the application? How are ad-hoc requests handled? Are there charges for special reports Do you have an annual user s conference? 9/9/2010 28

In Summary Set a realistic go-live date Have necessary resources in place Understand your data 9/9/2010 29

Questions???? 9/9/2010 30

Contact Info Laura Deiboldt ldeiboldt@medai.com 9/9/2010 31