delta region community health system development (drchsd

Delta Region Community Health System Development (DRCHSD) Program

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This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of a financial assistance award totaling $10,000,000 with 100% funded by HRSA/HHS and $0 amount and 0% funded by non-government sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement by HRSA/HHS, or the U.S. Government.

https://www.ruralcenter.org/category/lexicon/hrsa

https://www.ruralcenter.org/category/lexicon/hhs





Delta Region Community Health System Development (DRCHSD) Program

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Upcoming- Providing an Excellent Patient Experience Webinar Series

• April 8th

• April 15th

• April 22nd

Noon-1:00pm CT

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of a financial assistance award totaling $10,000,000 with 100% funded by HRSA/HHS and $0 amount and 0% funded by non-government sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement by HRSA/HHS, or the U.S. Government.

© 2021 Huron Consulting Group Inc. and affiliates.

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huronconsultinggroup.comMA R C H 2 5 , 2 0 2 1

DRCHSD Telehealth Series Part 6

Telehealth Analytics

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Facilitators

Kim MayoNational Rural Health Resource CenterSr. Program Specialist

Donna McHale Huron Consulting GroupSenior DirectorHealth Care Practice

Jessica DukeHuron Consulting GroupManagerHealth Care Practice

Kari GaliHuron Consulting GroupDirectorHealth Care Practice


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AgendaTopic Facilitator Time

Introductions Kim Mayo 5 min

Session Learning Objectives Donna McHale 2 min

Analytics its Uses Donna McHale 5 min

Analytics Maturity Curve and Journey Donna McHale 3 min

Why Analytics is Important Jessica Duke 5 min

Telehealth Key Performance Indicators (KPIs) Jessica Duke 5 min

Guest Speaker: How to Measure Your Telehealth Program Success Kari Gali 10 min

Participant Discussion Kim Mayo 20 min

Key Session Takeaways Donna McHale 5 min


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Session Learning Objectives

• Understand the importance of data analytics and how to use them with your telehealth program

• Discuss the analytic maturity curve and the journey from descriptive to prescriptive analytics

• Explore the benefits of measuring and monitoring telehealth key performance indicators

• Hear how one industry leader used analytics to drive her telehealth program’s success

• Network, make new connections and have fun!


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Asking Questions Just Got Easy!

Ask your questions and/or raise your hand via the Chat Box

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AnalyticsCan you see where you are going?

"Ultimately, poor data quality is like dirt on a windshield. You may be able to drive for a long time with slowly degrading vision, but at some point, you either have to stop and clear the windshield, or risk everything.“

Ken Orr, the Cutter Consortium

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HIMSS Survey of Senior Healthcare Leaders

Lack of Standardization

4 is the average number of different analytic tools used by a health system

Lack of Consistency

25% of healthcareorganizations can utilize analytics throughout their entire system

Lack of Execution 93% of health systems claim to

have an analytic strategy but only a third of those have implemented their strategy

Lack of Clinical Acceptance

Clinicians are the least likely stakeholders within healthcare organizations to utilize analytics for decision-making

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How to Engage CliniciansImpactful data for decision making

• Get the right amount of data at the right time in the right way• Real-time• View of the entire data picture

• Provide data they trust to be accurate

• Avoid alert fatigue• Frequent and excessive amounts of information

preventing their productivity• Optimize the EHR decision support functionality

• Visualize data that is easy to read, understand and use

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Data Integrity

What “wrong” looks like• No source of truth

• Inaccurate reports

• Difficult to visualize

• Poor quality• Not sourced

• Not used

What “right” looks like• One source of truth

• Accurate reports

• Easily visualized

• Solid quality

• Sourced

• Used by all

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© 2021 Huron Consulting Group Inc. and affiliates.©2019 Huron Consulting Group Inc. and affiliates. All rights reserved.

What “wrong” looks like

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Applicable Uses of AnalyticsCare ManagementMonitoring patient status

SchedulingPredicting appointment no-shows

Patient SafetyPreventing and identifying patient adverse events

ComplianceEnsuring strong data security

Operational EffectivenessManaging Supply Chain

Staffing and UtilizationPredicting patient utilization patterns

Reimbursement ManagementAvoiding hospital readmission

Population HealthRisk scoring for chronic diseases


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Analytics Maturity CurveEstablishing Data as a Strategic Asset

FOUNDATIONALRecognition of value of information

LEADINGFormal information governance program is implemented, socialized and adopted

TRANSFORMATIONAL Information is utilized as an enterprise asset

Multiple data sources One source of truth

Data quality unknown Information trusted and proven

Technology cost efficient to manage Technology costs optimized and reusable

Data Governance

, Information: guidelines,Steering Committee, used for decision making

Data Quality

Consistent and repeatable processes and controls

Data Usage

Control of reports and tools, standard reports

Data Management

Standard data management process, automation of data

Technology Architecture

High level automation, standardized technology infrastructure and tools


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Analytics JourneyExamples of Moving Seamlessly from Descriptive to Prescriptive

1Descriptive(Oversight)

What Happened?

2

Diagnostic (Hindsight)

Why did it happen?

3

Predictive (Foresight) What will happen?

4Prescriptive

(Insight) What should be

done?Examples

Population Health

Quality

Patient Safety

Certain procedure costs very

significantly

High variability driven by surgeon

preference

Model optimal tray configurations

Artificially intelligent tray

recommendations

Rate of diabetic occurrences in rural

populations

Contributory factors (weight, family

history, age, etc.)

Machine learning models use data to predict 3-year risk

Prescribe protocol for at-risk patients

Patients close to ESRD go into acute

renal failure

Risk ARF leading to ESRD not identified

and managed

Machine learning models identify patients at risk

Prescribe protocol for at-risk patients

Patient falls too frequent

Patients with fall risk not identified and/or staff not available

Machine learning recommends

staffing patterns

Models predict specific actions

Cost

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Driving Organizational Decisions Descriptive Diagnostic Predictive Prescriptive

AnalyticsOperational

Financial Clinical

Driving Organizational Decisions Efficiently and Effectively

Data SourcesHealth Information Exchange

Lab, Imaging, Electronic Health Data

Clinical DataClaims

Business GoalsSustainable and

Scalable


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Why is Analytics Important?

• Allows you to comply with the organizations measuring the quality of care delivered by telehealth

• Provides you the information you need to measure the success of your telehealth program

• Enables you to achieve your Quadruple Aim objectives

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Organizations Measuring the Quality of Telehealth

• The Joint Commission

• US Department of Health and Human Services (HHS)

• National Quality Strategy (NQS)

• Agency for Healthcare Research and Quality (AHRQ)

• National Committee for Quality Assurance (NCQA)

• National Association for Healthcare Quality (NAHQ)

• Utilization Review Accreditation Commission (URAC)


Drivers to Measure Telehealth Program SuccessH U R O N I 1 9

Telehealth Value

Quality of Care• Improve patient

access to care• Reduce readmissions• Improve patient

medical compliance

Provider & Patient Engagement• Increase provider and

patient engagement in managing health

• Improve patient and provider education

Consumer Experience & Access• Respond to consumer preference

providing convenient, timely, affordable healthcare

• Support improved quality of life enabling care delivery in patients’ homes

• Support needs of an aging population

Cost Containment• Reduce cost associated with

underutilized space and resources

• Recognize staffing efficiencies due to lower percentage of in-person visits

• Lower overall cost of care/ structure

Volume & Revenue Growth• Support volume growth across the

enterprise• Reduce system leakage• Leverage changing regulations to

seek appropriate reimbursement

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Achieving the Quadruple Aim

Improving Population Health

Preventing and managing prevalent, costly, and chronic disease

Enhancing The Patient Experience

Motivating and engaging patients to play active role in their care to improve outcomes and safety

Improving Provider Experience

Providing access to tools and resources to address provider burden and burnout

Reducing Cost of Care

Reducing resource utilization and readmissions while assuming greater risk

Quadruple Aim

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Aligning Quality of Care with Analytics

Performance Measurement DomainsPer the Institute of Medicine

Effectiveness

Relates to providing care processes and achieving outcomes as supported by scientific evidence¹

Efficiency

Relates to maximizing the quality of a comparable unit of health care deliverable or unit of health benefit achieved for a given unit of health care resources¹

Equity

Relates to providing health care of equal equality to those who may differ in personal characteristics other than their clinical condition or preferences for care¹

Patient Centered

Relates to meeting patients’ needs and preferences and providing education and support¹

Safety

Relates to actual or potential bodily harm¹

Timeliness

Relates to obtaining needed care while minimizing delays¹

1. Agency for Healthcare Research and Quality

https://www.ahrq.gov/talkingquality/measures/six-domains.html

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Telehealth Key Performance Indicators (KPIs)

Key Performance Indicators (KPI) are specific business metrics used to evaluate specific factors and goals that are crucial to the success of the telehealth implementation.

KPIs will provide:• An overview of how business goals are met using telehealth

• A measurable and realistic performance measure• Assistance in evaluating services

• A basis for expanding service lines

• Enhanced relationships within specialty networks• Extensions of the organization’s brand

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Telehealth Measured Across the Care Continuum

AMBULATORY CARE• Number of :

• new and existing patients• telehealth visits• requested telehealth visits by

patient• referrals for telehealth visits

• Patient satisfaction with experience

ACUTE CARE• Number of:

• chronic illness readmissions• chronic illness hospitalizations• patients followed by telehealth for next appointment POST-ACUTE CARE

• Number of:• visits not appropriate for telehealth• calls to IT for connectivity or device

issues• calls to vendor for software issues

• Travel time or distance patient or provider saved with telehealth visit


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How to Implement Your Telehealth Analytic Program

Assess & Define

Environment

Model

Business Case

Plan & Develop

Quality Improvement

Technology Plan

Improvement Strategy

Implement & Monitor

Implementation Activities

Continuous Improvement

Data Reports Dashboards

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Guest SpeakerHow to Measure Your Telehealth Program Success

Kari Gali, Director

Huron Healthcare Practice


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Population- Hypertension

Goal - Optimize Care!• Population health

• Care management

• Efficiency

Operational

Clinical

Technical

• Experience

Patient

Family

Care Team

Bridging Analytics &

Visualizations to Guide Care Management

Data and Analytics

• Reviewed dataBusiness MetricsKPI’sIdentified gap

• Developed plan

• Met with Business Intelligence Team

Monitor populationTickler systemGather data Consider AI

• Visualizations & Dashboards

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Hypertension Data

Data Collection (devices/ sensors)• blood pressure cuff• glucometer• scales• pulse-oximetry

Data Storage• cloud storage

Data Transmission• computer• smartphone• tablet

Population & Care Management• data management• data visualizations• data analytics (alert)• automated intelligence


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SuccessesData Driven Improvement

• Achieved 62.5% control of patient’s systolic blood pressure (SBP) by the end of the program

• Developed standardized workflows

• Heightened awareness of blood pressures and how to manage them better

• Enhanced accountability for self-management of care

• Increased patient engagement in their care

• Increased patient/ family & Care Team satisfaction

• Developed plug & play framework for chronic disease management

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Participant Discussion

Kim MayoNational Rural Health Resource CenterModerator

Donna McHale Huron Consulting GroupSenior DirectorHealth Care Practice

Jessica DukeHuron Consulting GroupManagerHealth Care Practice

Kari GaliHuron Consulting GroupDirectorHealth Care Practice

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Participant DiscussionKey Components for a Successful Analytics

Data Analytics

• What successes have you had with analytics?

• Have you utilized data to drive organizational decisions?

• Where are you in your analytics journey?

Telehealth

• What is your biggest challenge with monitoring telehealth data?

• What KPIs would you like to monitor?

Technology

• Does you telehealth application provide data analytics?

• Where do you see the biggest challenge with technology in monitoring data?

Dashboards

• Have you utilized dashboards for live data monitoring / reporting?

• How do you plan to measure your telehealth program?

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© 2021 Huron Consulting Group Inc. and affiliates.©2019 Huron Consulting Group Inc. and affiliates. All rights reserved.

To advance their data analytics strategies Health System Leaders should:

Think differently.Continually evaluate whether health data is being applied to improve clinical outcomes.

Plan differently.Inventory sources of unstructured data that can advance the use of data analytics beyond single episodes of care.

Act differently.Create data asset strategies that foster adoption across the enterprise by keeping the end users – consumers, physicians and staff – at the forefront.


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Key Session Takeaways• For data analytics to be successful it must be standardized, executed, consistent and

clinically accepted by the organization

• Data can be used as a strategic asset of the organization

• Continue your analytics journey from descriptive to prescriptive

• Analytics can enable you to meet your quadruple Aim objectives

• Measure telehealth across the care continuum

• Telehealth program successes include:• Begin with the end in mind• Clinical and IT stakeholders are key to the program• Communicate and collaborate for a shared mental model• Strive for real-time data and user-friendly visualizations that can be integrated with the EHR• Capture lessons learned• Embrace data-driven continuous quality improvement

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Contact InformationKim MayoMobile [email protected]

Donna McHaleMobile [email protected]

Jessica DukeMobile [email protected]

Kari GaliMobile [email protected]


mailto:[email protected]




Thank you

delta region community health system development (drchsd

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