U.S. Behavioral Health EHR Market Size, Share & Trends Analysis Report By End Use (State-owned, Private), And Segment Forecasts, 2022 - 2030
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U.S. Behavioral Health EHR Market Growth & Trends
The U.S. behavioral health EHR market size is expected to reach USD 459.1 million by 2030, based on a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 11.07% from 2022 to 2030. Electronic health records (HER) software is extremely advantageous for behavioral care practices since it promotes communication among clinicians, hence avoiding unnecessary duplication of services. With clinical and financial consequences at stake, behavioral care practitioners are adopting health IT solutions such as EHR technology at a faster rate than that in previous years.
According to a recent study published in Perspectives in Health Information Management, usability and a clear grasp of the benefits of EHRs are among the primary factors driving health IT adoption in the mental healthcare field. Additionally, a study published in PLOS One revealed that psychiatric hospitals using certified EHR technology were having a higher level of overall patient experience and patient satisfaction with care transition. In addition, their implementation resulted in improvements in healthcare information availability for patients. Positive patient perception toward hospitals is boosting the adoption of EHR among behavioral care providers.
According to the National Center for Drug Abuse Statistics, in 2020, around 20 million people were suffering from substance abuse disorders in the U.S. Of these, only 2.5 million people received treatment. Hence, there is a wide scope for improvement in the care delivery of behavioral healthcare. According to the U.S. Department of Health and Human Services, the healthcare budget for drug control was estimated to be around USD 35 billion in 2020. EHR utilization is critical in drug abuse treatment because it promotes improved care coordination and clinical care quality. Improved care coordination is anticipated to result in improved treatment outcomes since a physician can share treatment alternatives and other key clinical information with another physician.Lastly, the use of EHRs provides a wide potential for enhancing the care of those living with this illness. All these factors are expected to drive the market.
The COVID-19 pandemic increased population stress, concern, despair, frustration, and dread, potentially increasing the prevalence of mental care issues. Thus, as mental care problems grow, demand for online diagnostic and treatment platforms will increase, propelling the market growth. Additionally, the COVID-19 pandemic has heightened awareness regarding the need for mental health EHR systems to deal with the crisis. For example, Netsmart (US) collaborated with the California Department of Veterans Affairs in April 2020. (CalVet, US). This collaboration aided CalVet in implementing Netsmart's person-centered EHR platform, myUnity, to improve the clinical and operational performance of its day-to-day care delivery to residents.
U.S. Behavioral Health EHR Market Report Highlights
U.S. Behavioral Health EHR Market Growth & Trends
The U.S. behavioral health EHR market size is expected to reach USD 459.1 million by 2030, based on a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 11.07% from 2022 to 2030. Electronic health records (HER) software is extremely advantageous for behavioral care practices since it promotes communication among clinicians, hence avoiding unnecessary duplication of services. With clinical and financial consequences at stake, behavioral care practitioners are adopting health IT solutions such as EHR technology at a faster rate than that in previous years.
According to a recent study published in Perspectives in Health Information Management, usability and a clear grasp of the benefits of EHRs are among the primary factors driving health IT adoption in the mental healthcare field. Additionally, a study published in PLOS One revealed that psychiatric hospitals using certified EHR technology were having a higher level of overall patient experience and patient satisfaction with care transition. In addition, their implementation resulted in improvements in healthcare information availability for patients. Positive patient perception toward hospitals is boosting the adoption of EHR among behavioral care providers.
According to the National Center for Drug Abuse Statistics, in 2020, around 20 million people were suffering from substance abuse disorders in the U.S. Of these, only 2.5 million people received treatment. Hence, there is a wide scope for improvement in the care delivery of behavioral healthcare. According to the U.S. Department of Health and Human Services, the healthcare budget for drug control was estimated to be around USD 35 billion in 2020. EHR utilization is critical in drug abuse treatment because it promotes improved care coordination and clinical care quality. Improved care coordination is anticipated to result in improved treatment outcomes since a physician can share treatment alternatives and other key clinical information with another physician.Lastly, the use of EHRs provides a wide potential for enhancing the care of those living with this illness. All these factors are expected to drive the market.
The COVID-19 pandemic increased population stress, concern, despair, frustration, and dread, potentially increasing the prevalence of mental care issues. Thus, as mental care problems grow, demand for online diagnostic and treatment platforms will increase, propelling the market growth. Additionally, the COVID-19 pandemic has heightened awareness regarding the need for mental health EHR systems to deal with the crisis. For example, Netsmart (US) collaborated with the California Department of Veterans Affairs in April 2020. (CalVet, US). This collaboration aided CalVet in implementing Netsmart's person-centered EHR platform, myUnity, to improve the clinical and operational performance of its day-to-day care delivery to residents.
U.S. Behavioral Health EHR Market Report Highlights
- In terms of end use, the private segment dominated the market in 2021. An increase in the number of private behavioral care providers and consolidation of healthcare facilities are expected to boost the segment growth
- Private facilities have gradually advanced their technology to better serve mental care patients. In February 2018, AltaPointe Health, an Alabama-based behavioral care provider, has adopted the Carequality framework to connect Netsmart’s EHR with other providers across AltaPointe’s multiple hospital systems
- The state-owned end-use segment is estimated to grow at a significant pace during the forecast period. An increase in behavioral health coverage and a rise in government expenditure are likely to drive the adoption of management software solutions in the coming years in state-owned hospitals
- According to the National Association of State Mental Health Program Directors' Research Institute, Inc. (NRI) 2019 consumer report, 41 states have used EHR in their state-operated mental institutions in 2018, while no state used an all-inclusive EHR
CHAPTER 1 METHODOLOGY AND SCOPE
1.1 Market Segmentation & Scope
1.1.1 Estimates And Forecast Timeline
1.2 Research Methodology
1.3 Information Procurement
1.3.1 Purchased Database
1.3.2 Gvr’s Internal Database
1.3.3 Secondary Sources
1.3.4 Primary Research
1.3.5 Details Of Primary Research
1.4 Information or Data Analysis
1.4.1 Data Analysis Models
1.5 Market Formulation & Validation
1.6 Model Details
1.6.1 Volume Price Analysis
1.7 List of Secondary Sources
1.8 List of Abbreviations
1.9 Objectives
1.9.1 Objective
1.9.2 Objective
1.9.3 Objective
CHAPTER 2 EXECUTIVE SUMMARY
2.1 Market Outlook
2.2 Segment Outlook
2.2.1 End Use
2.3 Competitive Insights
CHAPTER 3 MARKET VARIABLES, TRENDS, & SCOPE
3.1 Market Lineage Outlook
3.1.1 Parent Market Outlook
3.1.2 Related/Ancillary Market Outlook
3.2 Market Dynamics
3.2.1 Market Driver Analysis
3.2.1.1 Government initiatives to promote EHR adoption in behavioral health
3.2.1.2 Increasing adoption of behavioral health EHR software
3.2.1.3 Increasing prevalence of behavioral health disorders
3.2.1.4 Rising awareness about substance abuse management
3.2.2 Market Restraint Analysis
3.2.2.1 High EHR implementation cost
3.2.2.2 Data privacy concern
3.2.2.3 Low adoption among psychiatry hospitals when compared to other specialties
3.3 Penetration & Growth Prospect Mapping
3.4 Business Environment Analysis Tools
3.4.1 PESTLE Analysis
3.4.1.1 Political & legal landscape
3.4.1.2 Economic & social landscape
3.4.1.3 Technological landscape
3.4.2 Porter’s Five Forces Analysis
3.4.2.1 Competitive rivalry: High
3.4.2.2 Bargaining power of suppliers: High
3.4.2.3 Bargaining power of buyers: Low
3.4.2.4 Threat of new entrants: High
3.4.2.5 Threat of substitutes: Moderate
3.5 Technological Advancements in the Market: Qualitative Analysis
3.6 Impact of COVID-19: Qualitative Analysis
CHAPTER 4 U.S. BEHAVIORAL HEALTH EHR MARKET: END-USE ANALYSIS
4.1 U.S. Behavioral Health EHR Market Share Analysis, 2021 & 2030
4.2 Segment Dashboard
4.3 Market Size & Forecasts and Trend Analysis, 2017 to 2030 for End Use
4.3.1 State-Owned
4.3.1.1 State-Owned Market, 2017 - 2030 (USD Million)
4.3.2 Private
4.3.2.1 Private market, 2017 - 2030 (USD Million)
CHAPTER 5 COMPETITIVE ANALYSIS
5.1 Recent Developments & Impact Analysis, by Key Market Participants
5.2 Competition Categorization
5.3 Company Market Position Analysis
5.4 Company Profiles
5.4.1 CORE SOLUTIONS, INC.
5.4.1.1 Company overview
5.4.1.2 Service benchmarking
5.4.1.3 Strategic initiatives
5.4.2 MEDITAB
5.4.2.1 Company overview
5.4.2.2 Service benchmarking
5.4.3 HOLMUSK
5.4.3.1 Company overview
5.4.3.2 Service benchmarking
5.4.3.3 Strategic initiatives
5.4.4 NETSMART TECHNOLOGIES, INC.
5.4.4.1 Company overview
5.4.4.2 Service benchmarking
5.4.4.3 Strategic initiatives
5.4.5 QUALIFACTS SYSTEMS, INC.
5.4.5.1 Company overview
5.4.5.2 Service benchmarking
5.4.5.3 Strategic initiatives
5.4.6 WELLIGENT
5.4.6.1 Company overview
5.4.6.2 Service benchmarking
5.4.6.3 Strategic initiatives
5.4.7 VALANT
5.4.7.1 Company overview
5.4.7.2 Service benchmarking
5.4.8 THERAPYNOTES, LLC
5.4.8.1 Company overview
5.4.8.2 Service benchmarking
5.4.9 NEXTSTEP SOLUTIONS
5.4.9.1 Company overview
5.4.9.2 Service benchmarking
CHAPTER 6 STRATEGIC RECOMMENDATIONS
1.1 Market Segmentation & Scope
1.1.1 Estimates And Forecast Timeline
1.2 Research Methodology
1.3 Information Procurement
1.3.1 Purchased Database
1.3.2 Gvr’s Internal Database
1.3.3 Secondary Sources
1.3.4 Primary Research
1.3.5 Details Of Primary Research
1.4 Information or Data Analysis
1.4.1 Data Analysis Models
1.5 Market Formulation & Validation
1.6 Model Details
1.6.1 Volume Price Analysis
1.7 List of Secondary Sources
1.8 List of Abbreviations
1.9 Objectives
1.9.1 Objective
1.9.2 Objective
1.9.3 Objective
CHAPTER 2 EXECUTIVE SUMMARY
2.1 Market Outlook
2.2 Segment Outlook
2.2.1 End Use
2.3 Competitive Insights
CHAPTER 3 MARKET VARIABLES, TRENDS, & SCOPE
3.1 Market Lineage Outlook
3.1.1 Parent Market Outlook
3.1.2 Related/Ancillary Market Outlook
3.2 Market Dynamics
3.2.1 Market Driver Analysis
3.2.1.1 Government initiatives to promote EHR adoption in behavioral health
3.2.1.2 Increasing adoption of behavioral health EHR software
3.2.1.3 Increasing prevalence of behavioral health disorders
3.2.1.4 Rising awareness about substance abuse management
3.2.2 Market Restraint Analysis
3.2.2.1 High EHR implementation cost
3.2.2.2 Data privacy concern
3.2.2.3 Low adoption among psychiatry hospitals when compared to other specialties
3.3 Penetration & Growth Prospect Mapping
3.4 Business Environment Analysis Tools
3.4.1 PESTLE Analysis
3.4.1.1 Political & legal landscape
3.4.1.2 Economic & social landscape
3.4.1.3 Technological landscape
3.4.2 Porter’s Five Forces Analysis
3.4.2.1 Competitive rivalry: High
3.4.2.2 Bargaining power of suppliers: High
3.4.2.3 Bargaining power of buyers: Low
3.4.2.4 Threat of new entrants: High
3.4.2.5 Threat of substitutes: Moderate
3.5 Technological Advancements in the Market: Qualitative Analysis
3.6 Impact of COVID-19: Qualitative Analysis
CHAPTER 4 U.S. BEHAVIORAL HEALTH EHR MARKET: END-USE ANALYSIS
4.1 U.S. Behavioral Health EHR Market Share Analysis, 2021 & 2030
4.2 Segment Dashboard
4.3 Market Size & Forecasts and Trend Analysis, 2017 to 2030 for End Use
4.3.1 State-Owned
4.3.1.1 State-Owned Market, 2017 - 2030 (USD Million)
4.3.2 Private
4.3.2.1 Private market, 2017 - 2030 (USD Million)
CHAPTER 5 COMPETITIVE ANALYSIS
5.1 Recent Developments & Impact Analysis, by Key Market Participants
5.2 Competition Categorization
5.3 Company Market Position Analysis
5.4 Company Profiles
5.4.1 CORE SOLUTIONS, INC.
5.4.1.1 Company overview
5.4.1.2 Service benchmarking
5.4.1.3 Strategic initiatives
5.4.2 MEDITAB
5.4.2.1 Company overview
5.4.2.2 Service benchmarking
5.4.3 HOLMUSK
5.4.3.1 Company overview
5.4.3.2 Service benchmarking
5.4.3.3 Strategic initiatives
5.4.4 NETSMART TECHNOLOGIES, INC.
5.4.4.1 Company overview
5.4.4.2 Service benchmarking
5.4.4.3 Strategic initiatives
5.4.5 QUALIFACTS SYSTEMS, INC.
5.4.5.1 Company overview
5.4.5.2 Service benchmarking
5.4.5.3 Strategic initiatives
5.4.6 WELLIGENT
5.4.6.1 Company overview
5.4.6.2 Service benchmarking
5.4.6.3 Strategic initiatives
5.4.7 VALANT
5.4.7.1 Company overview
5.4.7.2 Service benchmarking
5.4.8 THERAPYNOTES, LLC
5.4.8.1 Company overview
5.4.8.2 Service benchmarking
5.4.9 NEXTSTEP SOLUTIONS
5.4.9.1 Company overview
5.4.9.2 Service benchmarking
CHAPTER 6 STRATEGIC RECOMMENDATIONS
LIST OF TABLES
Table 1 List of secondary sources
Table 2 List of abbreviation
Table 3 U.S. behavioral health EHR market, by end use, 2017 - 2030 (USD Million)
Table 1 List of secondary sources
Table 2 List of abbreviation
Table 3 U.S. behavioral health EHR market, by end use, 2017 - 2030 (USD Million)
LIST OF FIGURES
Fig. 1 U.S. behavioral health EHR market segmentation
Fig. 2 Market research process
Fig. 3 Data triangulation techniques
Fig. 4 Primary research pattern
Fig. 5 Market research approaches
Fig. 6 Value-chain-based sizing & forecasting
Fig. 7 QFD modeling for market share assessment
Fig. 8 Market formulation & validation
Fig. 9 Market outlook, 2021 (USD Million)
Fig. 10 Market trends & outlook
Fig. 11 Market driver relevance analysis (Current & future impact)
Fig. 12 Market restraint relevance analysis (Current & future impact)
Fig. 13 Penetration & growth prospect mapping
Fig. 14 U.S. behavioral health EHR market: End-use movement analysis (USD Million)
Fig. 15 U.S. behavioral health EHR market end-use outlook: Key takeaways (USD Million)
Fig. 16 State-owned market, 2017 - 2030 (USD Million)
Fig. 17 Private market, 2017 - 2030 (USD Million)
Fig. 18 Recent development & impact analysis by key market participants
Fig. 19 Competition categorization
Fig. 20 Company market position analysis
Fig. 1 U.S. behavioral health EHR market segmentation
Fig. 2 Market research process
Fig. 3 Data triangulation techniques
Fig. 4 Primary research pattern
Fig. 5 Market research approaches
Fig. 6 Value-chain-based sizing & forecasting
Fig. 7 QFD modeling for market share assessment
Fig. 8 Market formulation & validation
Fig. 9 Market outlook, 2021 (USD Million)
Fig. 10 Market trends & outlook
Fig. 11 Market driver relevance analysis (Current & future impact)
Fig. 12 Market restraint relevance analysis (Current & future impact)
Fig. 13 Penetration & growth prospect mapping
Fig. 14 U.S. behavioral health EHR market: End-use movement analysis (USD Million)
Fig. 15 U.S. behavioral health EHR market end-use outlook: Key takeaways (USD Million)
Fig. 16 State-owned market, 2017 - 2030 (USD Million)
Fig. 17 Private market, 2017 - 2030 (USD Million)
Fig. 18 Recent development & impact analysis by key market participants
Fig. 19 Competition categorization
Fig. 20 Company market position analysis
