Resource Search Results

Quality Report Inventory: Organizing your quality team with a schedule and map of quality report distribution (2017). Resource Type: Publication. Description: This Report Inventory tool is a means to make public all available reports, the schedule for publishing to the organization, and their distribution.  A Report Inventory is a means to make public all available reports, the schedule for publishing to the organization, and their distribution. It provides a point of reference for all potential report requestors who are looking for data on any metric. The Report Inventory may also include reference to EHR alerts, mappings, and schedules and any supporting EHR or Population Health Management tools that are available to support improvement of each metric. Making this tool available on a shared drive or company intranet provides a point of reference for analysts to direct report requestors prior to acting on any new report request. The Report Inventory is organized by metric, including the denominator and numerator definitions, exclusions, and references to the metric steward which may be internal to the organization or external (e.g. UDS, NQF, etc.). The Report Inventory should be curated by your data analysts in collaboration with the responsible metric stewards within an organization. Download the Excel tool below to see a full example and additional instructions.  Also, see the companion Data Dictionary tool here. More Details...

EHR Optimization Series: Part Two of Three: Including slides, Workflow tool, and Provider Scorecard (2017). Resource Type: Publication. Description: The second of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools. The second of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools.  EHR Optimization Session 2 Slides From the second May 2017 Learning Session Provider Scorecard: Assessing accurate EHR documentation This resource provides a process and method that can be used to evaluate the degree to which an individual provider or care team member consistently documents required information in the appropriate place in the EHR. Blank and Sample completed, filled-in versions are available for download below. EHR Workflow Worksheet: EHR Optimization tool to map the workflow to enhance performance on a particular clinical measure This tool provides a structured way to review how data is captured and input in the EHR for a particular clinical measure across the clinical team including registration, pre-visit planning, nursing, and provider visit. The sample uses the BMI Percentile Children CMS 155 v5 as an example, and a blank version is also provided. Using the workflow tool will help answer questions on which components of the data are entered by whom, and facilitate soliciting feedback from staff on ways to improve efficient and accurate data capture. Blank and Sample completed, filled-in versions are available for download below. Visit the Guide for Improving Care Processes and Outcomes in Health Centers for additional tools and support for workflow assessment and improvement. Download each of these resources below, in the Documents to Download section. More Details...

EHR Optimization Series: Part Three of Three: Including slides, Data Dictionary, and Quality Report Inventory (2017). Resource Type: Publication. Description: The third of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools.  The third of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools.  EHR Optimization Session 1 Slides From May 2017 Learning Session; objectives include: Understand the role reporting has in EMR optimization Be able to list at least 3 considerations when developing reports to improve EMR utilization and meet the goals of the intended audience Identify at least 2 HITEQ resources for improving reporting effectiveness in facilitating decision-making Be able to discuss the interplay between reporting and data validation Slides are in the Documents to Download section; Recording is available below in the Links section.  ​Data Dictionary: Organizational tool to catalog your EHR and analytics platform data indicators A Data Dictionary provides a single point of reference for data mapping and interpretation for all of the indicators in your quality reports. Organization of the data definitions in this tool provides a reference for the team of the definitions which impact reports and alerts in the analytics application. That application may be the EHR or an analytics platform that is tied to the EHR. Anyone with questions about where data is being pulled from for any indicator can reference the Data Dictionary without analyst security privileges or expertise within the analytics tools. The Data Dictionary should be curated by analysts and made available on a shared drive or company intranet. Quality Report Inventory: Organizing your quality team with a schedule and map of quality report distribution A Report Inventory is a means to make public all available reports, the schedule for publishing to the organization, and their distribution. It provides a point of reference for all potential report requestors who are looking for data on any metric. The Report Inventory may also include reference to EHR alerts, mappings, and schedules and any supporting EHR or Population Health Management tools that are available to support improvement of each metric. Making this tool available on a shared drive or company intranet provides a point of reference for analysts to direct report requestors prior to acting on any new report request. The Report Inventory is organized by metric, including the denominator and numerator definitions, exclusions, and references to the metric steward which may be internal to the organization or external e.g. UDS, NQF, etc.. The Report Inventory should be curated by your data analysts in collaboration with the responsible metric stewards within an organization. Download each of these resources below, in the Documents to Download section. More Details...

EHR Optimization Series: Part One of Three: Including Performance Measure Crosswalk and Data Definition Worksheet (2017). Resource Type: Publication. Description: The first of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools.  The first of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools.  EHR Optimization Session 1 Slides From May 2017 Learning Session; agenda includes: Introductions EHR Optimization Defined Identifying “Waste” Data Life Cycle Strategies for EHR Optimization Closing/ Discussions/ Sharing eCQM Crosswalk for UDS, MIPS, PCMH, etc.: Quality Measure reference tool to understand relationship between eCQM, PCMH, Meaningful Use and UDS data measures The CMS eCQI Resource Center is the definitive eCQM resource. This tool provides a quick crosswalk to the eCQM measure definitions and guidance to which of the eCQM measures are reported for UDS 2019, MIPS, CPC+, and NCQA PCMH. *Updated in January of 2019* Performance Measure Data Definition Worksheet: Organizational tool to confirm eCQM measure specifications match EHR vendor logic ONC EHR Certification criteria means that vendors use eCQMs’ electronic Clinical Quality Measures’ specifications to define measures. Therefore, reported data for a measure should be consistent regardless of vendor. In practice, however, it is important to confirm the vendor’s logic is consistent with the health center’s definition and workflows. This tool supports alignment of the health center’s data definition with the vendor’s reporting logic. Download each of these resources below, in the Documents to Download section. Access part two and three of this series as well! More Details...

HITEQ Health App Decision Tree: A tool developed In collaboration with the Children's Health Fund to help choose appropriate Health Apps (2017). Resource Type: Publication. Description: There are thousands of consumer health applications health apps, which run on smartphones, watches, tablets, and other mobile devices. These Health Apps are available for download for general consumers, patients, and healthcare professionals. Currently, there is no governmental agency that provides certification or guidance on health apps, although there are several projects from organizations such as HL7, the FDA, ONC, and OCR that are working to provide guidance. User discrepancy in terms of the validity and safety of the health apps they choose to use are primarily based on ratings or recommendations. This guide seeks to provide a health app decision tree that can assist medical professionals and consumers in making wise choices when using health apps. There are thousands of consumer health applications health apps, which run on smartphones, watches, tablets, and other mobile devices. These health apps are available for download for general consumers, patients, and healthcare professionals. Currently, there is no governmental agency that provides certification or guidance on health apps, although there are several projects from organizations such as HL7, the FDA, ONC, and OCR that are working to provide guidance. User discrepancy in terms of the validity and safety of the health apps they choose to use are primarily based on ratings or recommendations. This guide seeks to provide a health app decision tree that can assist medical professionals and consumers in making wise choices when using health apps. The Children's Health Fund was made aware of a use case in which a health app that was targeted for use by adults was used for a child and consequently caused a detrimental health issue. Currently there are no certifying bodies for consumer-oriented health apps and consequently many doctors must navigate this domain themselves. This guide seeks to provide a health app decision tree that can assist medical professionals and consumers in making wise choices when using health apps. Download the decision tree below. More Details...

Measuring Population Health Management Return on Investment: A methodology to calculate ROI (Return on Investment) using a Matrix Tool (2017). Resource Type: Publication. Description: There is a great deal of interest among health centers, Primary Care Associations PCAs, and Health Center Controlled Networks HCCNs in the advantages associated with investing in Population Health Management electronic platforms. Measuring specific and quantifiable returns clarifies the benefits and supports consistent understanding among stakeholders of the value of PHM. There is a great deal of interest among health centers, Primary Care Associations PCAs, and Health Center Controlled Networks HCCNs in the advantages associated with investing in Population Health Management PHM electronic platforms.  Measuring specific and quantifiable returns clarifies the benefits and supports consistent understanding among stakeholders of the value of PHM. Available below, the PDF document titled Measuring Population Health Management Return on Investment outlines a conceptual process for measurement of ROI of a population health management system offered at the network level. What is presented here could also be used a starting point for developing an ROI analysis at the organizational level. The companion tool, an Excel file titled PHM ROI Matrix Tool, provides recommendations for measurement for different stages of PHM implementation and an ROI calculator. Download both of these resources below. These resources were created in partnership with Michigan Primary Care Association and Mark S. Rivera of Managed Care Consulting Inc./MCC Analytics, and HITEQ thanks both for their time, insight, and energy. More Details...

Data Dictionary Tool and Template: Organizational tool for your EHR and analytics platform data indicators (2017). Resource Type: Publication. Description: This Data Dictionary provides a single point of reference for data mapping and interpretation for all of the indicators in your quality reports. Organization of the data definitions in this tool provides a reference for the team of all such definitions that impact reports and alerts in the analytics application. This Data Dictionary provides a single point of reference for data mapping and interpretation for all of the indicators in your quality reports. Organization of the data definitions in this tool provides a reference for the team of all such definitions that impact reports and alerts in the analytics application. For example, it provides a format to document all items in a given report, and related EHR data. That application may be the EHR or an analytics platform that is tied to the EHR. Anyone with questions about where data is being pulled from for any indicator can reference the Data Dictionary without analyst security privileges or expertise within the analytics tools. The Data Dictionary should be curated by analysts and made available on a shared drive or company intranet. Download the Excel tool below to see a full example and additional instructions.  Also, see the companion Quality Report Inventory tool here. More Details...

Using Data to Manage Population Health Under Risk-Based Contracts: A background on what you need and how to use it (2017). Resource Type: Publication. Description: This resource will equip health center stakeholders with the understanding of what data-related capacity is needed to succeed under risk-based payment models.   This brief walks health centers through three key questions related to using data to succeed under risk-based contracts: 1 What data do I need and how do I get it?  2  How should I analyze the data? and 3 How should I use the data to manage quality and cost? Understanding the answers to these questions assists health centers in understanding the data-related capacities needed to participate successfully in risk-bearing payment models. Download the brief below! More Details...

ICD-10 Z-Codes for Social Determinants of Health: A quick reference guide for providers and health care leaders (2017). Resource Type: Publication. Description: This resource will equip health center stakeholders with the understanding of how standardized social determinants of health (SDoH) data can be used and which ICD10 z-codes are pertinent as a standardized SDoH data set. This resource describes ways standardized social determinant of health (SDoH) data can be used and provides a quick reference guide to which ICD-10 codes can help document standardized SDoH data.  Download here or below. More Details...

42 CFR Part 2 Final Rule and Health Center Compliance: A HITEQ Webinar in collaboration with the California Primary Care Association (CPCA) (2017). Resource Type: Publication. Description: This presentation explored the history and recent changes of 42 CFR Part 2, review common definitions, and how the changes may affect integrated medication-assisted treatment (MAT) and Screening, Brief Intervention, and Referral to Treatment (SBIRT) programs, and discussion on LifeLong Medical Care’s experience. More Details...

Security Risk Assessment: A HITEQ Privacy & Security Resource - New Templates Added May 2017 (2017). Resource Type: Template. Description: To successfully attest, providers must conduct a security risk assessment (SRA), implement updates as needed, and correctly identify security deficiencies. By conducting an SRA regularly, providers can identify and document potential threats and vulnerabilities related to data security, and develop a plan of action to mitigate them. More Details...

The Value Proposition for Population Health Management for Health Centers: Calculating ROI on your PHM investment (2017). Resource Type: Publication. Description: Measuring return on investment ROI and the value of population health management is an emerging concern for health centers.  Calculating ROI on HIT investment is complex, and few health centers have experience in this endeavor.  The definition of value varies by type and size of provider, patient population, and other factors, and may be unique to an organization.  This white paper discusses principles and approaches to measure the value proposition for population health management for health centers.  Although few examples exist, we present the results of one health center’s measurement of the value of PHM. Measuring return on investment ROI and the value of population health management is an emerging concern for health centers.  Calculating ROI on HIT investment is complex, and few health centers have experience in this endeavor.  The definition of value varies by type and size of provider, patient population, and other factors, and may be unique to an organization.  This white paper discusses principles and approaches to measure the value proposition for population health management for health centers.  Although few examples exist, we present the results of one health center’s measurement of the value of PHM. Download the white paper below. More Details...

Results of Population Health Analytics/ Data Integration Survey: PCA/ HCCN Experiences Assessing and/ or Implementing Systems (2017). Resource Type: Publication. Description: HITEQ conducted an anonymous survey of population health analytic and data integration system needs and impressions among PCA/HCCNs in late 2016 and early 2017. The results of that survey, intended to help those looking to adopt similar systems, are laid out within. This includes ratings of key functionalities, discussion of most important features, and comments from those who have assessed and/ or implemented these tools. HITEQ conducted an anonymous survey of population health analytic and data integration system needs and impressions among Primary Care Associations and Health Center Controlled Networks in late 2016 and early 2017. The results of that survey, intended to help those looking to adopt similar systems, are laid out within. This includes ratings of key functionalities, discussion of most important features, and comments from those who have assessed and/ or implemented these tools. This piece reflects the aggregated responses of the 26 responding organizations that chose to participate through a call for responses to PCAs/ HCCNs. Responses are anonymous, are shared as they were provided with minimal editing, and reflect the views and experiences of the respondent(s) only. If you have experiences to add, please respond to the survey or email us! The survey results include: Number of respondents reviewing each system Ratings on selected functions Comments provided related to selected functions Data storage and management for each system Access to raw data downloads Features most important when assessing/ selecting a system Other priorities Reasons for making selection, vendor specific Reasons for making selection, general Three main lessons you’d like to pass on as a result of this experience General Comments Consider using this tool to help guide your thinking as to what questions you might ask vendors as well as what features you may want to see demonstrated if you are considering selecting a system of this type. The HITEQ Center does not endorse any systems or vendors, and has not validated any of the responses provided. More Details...

Demystifying Predictive Analytics: Factsheet on Predictive Analytics for Health Centers (2017). Resource Type: Publication. Description: Using predictive analytics in health care is an emerging field, especially for health centers. This tool will provide a brief explanation of the purpose of predictive analytics, the ingredients necessary to apply these methods, and ways that health centers are using this approach to improve results. The objective of this resource is to help health center leadership and staff understand how and when predictive analytics can help them, and to think about how predictive analytics might fit into their data-driven QI program. This one-page brief outlines the basics of this complex topic. We define predictive analytics and describe how health centers are adopting this innovation. Sources and uses of data for making predictions are discussed, and specific applications of predictive analytics are described.  Specific health center examples are offered to illustrate the potential of predictive analytics for health centers. More Details...

HITEQ-Social-Determinants-Data-Infographic-2017: Coding Social Determinants of Health (SDH) for Optimizing Value (2017). Resource Type: Other. Description: SDH coding is important for clinical management and outcomes reporting for payment reform and value based payment (particularly capitate payment), as well as other policy work. SDH coding begins with care providers, who often may need to understand how these data can be used to benefit not only the patient they are serving but also the broader population served by the organization. More Details...

Coding Social Determinants of Health (SDOH) for Optimizing Value: An Infographic for Providers on the Benefits of Coding for SDH (2017). Resource Type: Publication. Description: The purpose of the infographic is to describe how SDH data would be used for a variety of goals that would have traction with the clinic staff audience who may likely need to modify workflows and behavior in order to collect such data.  The visual case could be used in presentations or hung on a provider break room wall. SDH coding is important for clinical management and outcomes reporting for payment reform and value based payment (particularly capitate payment), as well as other policy work. SDH coding begins with care providers, who often may need to understand how these data can be used to benefit not only the patient they are serving but also the broader population served by the organization. More Details...

Health IT Privacy & Security Skill Sets: The Importance of Information Security for all Health Center Staff (2017). Resource Type: Publication. Description: Since 2010, the healthcare industry has seen a remarkable increase in the use of technology in the administration and delivery in healthcare. This has led to a mass migration of data from paper charts and isolated systems to Electronic Medical Records EMRs and interconnected systems that transmit patient health and financial information across trusted and untrusted networks. More Details...

CHC Adoption Framework for Electronic Patient Engagement: Methods for deploying more personalized care to underserved populations (2017). Resource Type: Toolkit. Description: The introduction of electronic personal health records (PHR) systems, and the patient portals used to provide patients access to those records, into the fabric of the U.S. healthcare system provides a major opportunity to encourage positive health management practices, such as chronic disease management and increased care plan adherence, through greater engagement of the patient. More Details...

Using your EHR for Population Health Management: A Cross-reference Tool (2017). Resource Type: Publication. Description: Health centers are interested in implementing population health management (PHM), but often lack the resources to purchase specialized PHM software suites to implement in conjunction with their EHR. We assessed the functionality of certified EHRs to assist health centers in utilizing native EHR capabilities to perform PHM functions. More Details...

Why Collect Standardized Data on Social Determinants of Health?: A slide deck outlining the potential use of ICD10 coding for SDOH. (2017). Resource Type: Publication. Description: This resource will equip health center stakeholders with the motivation, knowledge, and ability needed to collect and use standardized social determinants of health data. This resource describes the importance of collecting Standardized SDOH Data in the context of value based payment.  The resource reviews commonly used codes in ICD-10 that can help document SDOH.  Finally, the slide deck describes useful tools for collecting these data and what’s on the horizon for health centers to strengthen their efforts to move “upstream” in addressing health disparities. Download this slide deck below. More Details...