1 Marrying Technology to the Chronic Care Model Neil A. Solomon, MD President, NAS Consulting Services Faculty Director, Breakthroughs in Chronic Care.

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1 Marrying Technology to the Chronic Care Model Neil A. Solomon, MD President, NAS Consulting Services Faculty Director, Breakthroughs in Chronic Care.
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Presentation transcript:

1 Marrying Technology to the Chronic Care Model Neil A. Solomon, MD President, NAS Consulting Services Faculty Director, Breakthroughs in Chronic Care Program August 22, 2006

2 The Quality Chasm

3 Informed, Activated Patient Productive Interactions Prepared, Proactive Practice Team Delivery System Design Decision Support Clinical Information Systems Self- Management Support Health System Resources and Policies Community Health Care Organization Improved Outcomes What Do We Do With the CCM?

4 Linking QI Process to Outcomes  Shojania, et.al., JAMA July 26, 2006  Meta-regression analysis for HBA1c control  66 eligible controlled trials, mostly RCTs  Considered 11 QI categories: case mgmt, team care, registry, CME, clinician reminders, facilitated relay of clinical info, patient ed, self- mgmt support, patient reminders, CQI

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6 What Roles For Technology?  Facilitate care teams  Case management support  Home-based care assistance  Links between patient and clinicians  Physician reporting and feedback  Clinician prompts and reminders

7 What Do the Tools Look Like?  Registries  Electronic Health Records  Personal Health Records  Putting the control into the hands of the patients  Web-based communication tools

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9 What is a Registry?  An electronic tool that captures and tracks data for a patient population with a particular disease or health state.  Enables population-based care for entire group of patients, not just those that elect to come into the office.

10 Chronic Disease Registries  Identify, stratify and track populations  Interconnect members of the care team  Find patients “falling through the cracks”  Provide point-of-care support  Help the organization prioritize

11 Starting a Registry Key considerations: 1. Product selection: Buy vs. build 2. Data issues 3. Provider involvement

12 Registry Options  Home grown—built off claims, labs, rx  Vendor product  Public domain software (Access database)  Commercial software on client hardware  Data supplier delivers regular reports  ASP Model  Runs remotely; MDs and managers access over secure internet connection

13 Buy vs. Build  Decision depends on organizational resources, characteristics  Buy: + Speed to implementation + Less internal staff needed to maintain + Some products can track multiple conditions  Reliance on external vendor for customization New features Integration with EHR or other local needs  Build: + Retain control over functionality and data + Can customize to meet needs  Requires knowledge in database management, IT understanding of chronic care management

14 Data Quality  Data accuracy important to success  Relevant recommendations, comparisons  Credibility with physicians, patients  Consider implications of errors  Cohort: false positives, false negatives  Interventions/measures  Timeliness of data refresh  On-going quality control, maintenance

15 Registry in Action  NP reviews report of all patients overdue for a test or out of control  Calls highest risk patients to check in and schedule visit or tests  Generates letters to patients mildly out of adherence  MA prints snapshot of patient’s status and clips to chart for MD seeing patient  May show most recently lab values, when meds last filled, any recent hospital admissions, etc.  May provide prompts if patient overdue for evals

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17 Electronic Health Records  Acquire and assemble data – lab, radiology, etc.  Connect to colleagues – team care, consultants  Provide clinician reminders/decision support  Identify patients overdue for routine care – prompts  Drug-drug; drug-dx; drug-lab; dose checking  Tagged literature to support decision-making  Support clearer and fuller documentation  All patients, all parts of their care

18 EHR in Action  Delivery system EHR allows case manager to review MD notes and manage patient with primary physician  Chronic disease templates allow rapid documentation of key findings  Embedded decision support prompts and reminds clinician during encounter

19 EHR vs. Registry for Chronic Disease  EHR positives  Useful for all patients, all data  Complete visit documentation  Strong R&D and support (major vendors)  Registry positives  Population based  Easier to stratify, target, track patients  Less expensive, easier to implement

20 EHR vs. Registry for Chronic Disease  EHR negatives  Handle one patient, one problem at a time  Weak population management functions, little or no care/case management  Expensive, hard to implement and maintain, usually takes a long time to get to chronic dz fxns  Registry negatives  Limited data—patients, and clinical info for them  Can’t document for entire clinical note  Limited R&D to expand capabilities  Weak implementation support

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22 Personal Health Records  Same data as EHR, different presentation format to non-MD  Some PHRs allow for patient data entry (e.g. home BP readings)  Good tools pre-populate all key fields  Potential to motivate and provide self- management support for patients  Can dramatically improve office and organizational efficiency  Still in infancy

23 Patient Communication Tools  Web-based secure or similar  Focused reminders to patients (outbound)  Succinct updates and questions/ concerns from patients (inbound)  Referrals to sources of “information therapy”

24 Types of Secure Communication  Stand-alone programs—e.g. Relay Health, Medem  Provided by delivery system  Integrated into EHR

25 Common Concerns  HIPAA, privacy, confidentiality  Lack of reimbursement  Malpractice fears  Time sink

26 Recap  Top QI changes  Team care, case management, patient reminders and patient education  Key tools  Registry, EHR, PHR, secure communications  All are evolving, some interrelate  Implementation more important that what you choose to use

27 Its All About the Team

28 References  IT Tools for Chronic Disease Management: How do they Measure Up? Jantos and Holmes, CHCF, 2006  Effects of Quality Improvement Strategies for Type 2 Diabetes on Glycemic Control. Shojania, et.al., JAMA July 26, 2006  Improving Chronic Illness Care web site: improvingchroniccare.org

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