This horizontal bar chart displays hospital beds (per 1,000 people) by country full name using the aggregation average, weighted by population in Czech Republic. The data is about countries per year.

Analysis of ‘Hospital ratings’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/center-for-medicare-and-medicaid/hospital-ratings on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

This are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

Content

Dataset fields:

• Provider ID
• Hospital Name
• Address
• City
• State
• ZIP Code
• County Name
• Phone Number
• Hospital Type
• Hospital Ownership
• Emergency Services
• Meets criteria for meaningful use of EHRs
• Hospital overall rating
• Hospital overall rating footnote
• Mortality national comparison
• Mortality national comparison footnote
• Safety of care national comparison
• Safety of care national comparison footnote
• Readmission national comparison
• Readmission national comparison footnote
• Patient experience national comparison
• Patient experience national comparison footnote
• Effectiveness of care national comparison
• Effectiveness of care national comparison footnote
• Timeliness of care national comparison
• Timeliness of care national comparison footnote
• Efficient use of medical imaging national comparison
• Efficient use of medical imaging national comparison

Acknowledgements

Dataset was downloaded from [https://data.medicare.gov/data/hospital-compare]

Inspiration

If you just broke your leg, you might need to use this dataset to find the best Hospital to get that fixed!

--- Original source retains full ownership of the source dataset ---

This horizontal bar chart displays hospital beds (per 1,000 people) by country full name using the aggregation average, weighted by population. The data is about countries.

This horizontal bar chart displays hospital beds (per 1,000 people) by country full name using the aggregation average, weighted by population in Armenia. The data is about countries per year.

Length of hospital stay by name of frequent disease classification (top 30).

Adult psychiatry is an important part of medical and mental health treatments in the U.S. As of 2024, the top hospital for adult psychiatry was Massachusetts General Hospital in Boston, Massachusetts, with a score of ** percent. The score represents the percentage of surveyed psychiatric specialists that named select hospitals as the best for challenging patients. Despite hospitals having a wider range of care options for patients, a majority of the mental health treatment facilities in the U.S. are listed as outpatient care centers without day treatment options or partial hospitalization options. Mental Health in the U.S. In the U.S. millions of people are affected by mental illness every year. Mental illnesses can range from mood disorders such as depression and bipolar disorder to schizophrenia and anxiety disorders. Research has indicated that as of 2022 up to a ******* of adults between the ages of 18 and 25 in the U.S. had experienced some sort of mental illness within the past year, with rates of mental illness decreasing with age. A recent survey also indicated that among adults in the U.S. those living in ****** and **** may have the poorest mental health status among all states. Mental Health Treatment in the U.S. Not all mental health treatment requires hospitalization or psychiatric treatment. Most mental health issues can be addressed and treated in individual or group psychotherapy, but treatment differs drastically based on the type of mental illness. Psychotherapy, medication, case management, hospitalization and support groups are just a few of the ways mental illness can be treated. As of 2023 a ****** percentage of U.S. adults utilized prescription medications as opposed to any other kind of therapy. Among adults that sought treatment from a professional for a major depressive episode, a ******** saw a general practitioner or family doctor to treat their mental health issues.

Success.ai’s Healthcare Professionals Data for Healthcare & Hospital Executives in Europe provides a reliable and comprehensive dataset tailored for businesses aiming to connect with decision-makers in the European healthcare and hospital sectors. Covering healthcare executives, hospital administrators, and medical directors, this dataset offers verified contact details, professional insights, and leadership profiles.

With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your outreach, market research, and partnership strategies are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is indispensable for navigating and thriving in Europe’s healthcare industry.

Why Choose Success.ai’s Healthcare Professionals Data?

1. Verified Contact Data for Targeted Engagement

   • Access verified work emails, phone numbers, and LinkedIn profiles of healthcare executives, hospital administrators, and medical directors.
   • AI-driven validation ensures 99% accuracy, reducing data gaps and improving communication effectiveness.

2. Comprehensive Coverage of European Healthcare Professionals

   • Includes profiles of professionals from top hospitals, healthcare organizations, and medical institutions across Europe.
   • Gain insights into regional healthcare trends, operational challenges, and emerging technologies.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership roles, organizational structures, and market dynamics.
   • Stay aligned with the fast-evolving healthcare landscape to identify emerging opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with healthcare professionals and decision-makers in Europe’s hospital and healthcare sectors.
• 70M+ Business Profiles: Access detailed firmographic data, including hospital sizes, revenue ranges, and geographic footprints.
• Leadership Insights: Engage with CEOs, medical directors, and administrative leaders shaping healthcare strategies.
• Regional Healthcare Trends: Understand trends in digital healthcare adoption, operational efficiency, and patient care management.

Key Features of the Dataset:

1. Comprehensive Professional Profiles

   • Identify and connect with key players, including hospital executives, medical directors, and department heads in the healthcare industry.
   • Access data on professional histories, certifications, and areas of expertise for precise targeting.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by hospital size, geographic location, or job function (administrative, medical, or operational).
   • Tailor campaigns to align with specific needs such as digital transformation, patient care solutions, or regulatory compliance.

3. Healthcare Industry Insights

   • Leverage data on operational trends, hospital management practices, and regional healthcare needs.
   • Refine product offerings and outreach strategies to address pressing challenges in the European healthcare market.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with healthcare professionals.

Strategic Use Cases:

1. Marketing and Outreach to Healthcare Executives

   • Promote healthcare IT solutions, medical devices, or operational efficiency tools to executives managing hospitals and clinics.
   • Use verified contact data for multi-channel outreach, including email, phone, and digital marketing.

2. Partnership Development and Collaboration

   • Build relationships with hospitals, healthcare providers, and medical institutions exploring strategic partnerships or new technology adoption.
   • Foster alliances that drive patient care improvements, cost savings, or operational efficiency.

3. Market Research and Competitive Analysis

   • Analyze trends in European healthcare to refine product development, marketing strategies, and engagement plans.
   • Benchmark against competitors to identify growth opportunities, underserved segments, and innovative solutions.

4. Recruitment and Workforce Solutions

   • Target HR professionals and hiring managers in healthcare institutions recruiting for administrative, medical, or operational roles.
   • Provide workforce optimization platforms, training solutions, or staffing services tailored to the healthcare sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality healthcare professional data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.

2. Seamless Integration
   ...

According to Cognitive Market Research, the global Modular Hospital market size will be USD 6512.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.30% from 2024 to 2031.

North America held the major market share, more than 40% of the global revenue, with a market size of USD 2604.88 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 6.5% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 1953.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1497.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
Latin America's market will have more than 5% of the global revenue with a market size of USD 325.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Middle East and Africa held the major market share of around 2% of the global revenue, with a market size of USD 130.24 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Steel held the highest Modular Hospital market revenue share in 2024.

Key Drivers of Modular Hospital Market

Expanding Healthcare to Provide More Facilities to Provide Viable Market Output

The Modular Hospital market is experiencing significant growth due to the expansion of healthcare to provide more facilities. As populations increase and medical needs evolve, there's a pressing demand for more healthcare facilities. Modular hospitals offer a flexible and rapid solution, enabling the quick establishment of fully functional medical centers. These facilities can be deployed in remote or underserved areas where traditional construction may be challenging. Moreover, modular hospitals provide scalability, allowing for easy expansion or reconfiguration as healthcare needs evolve. With their cost-effectiveness, speed of deployment, and adaptability, modular hospitals are becoming integral to healthcare systems striving to provide comprehensive medical services to a broader population base.

For instance, in September 2020, the UK National Health Service included Portakabin in the NHS Shared Business Services procurement framework. Under this inclusion, the company has provided isolation units for Hywel DDA University Health Board in Wales and an additional 30-bed modern ward built (in just 8 weeks) to treat coronavirus-affected patients.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/healthcare-experts/)

Various Strategies Adopted by Key Players to Propel Market Growth

The Modular Hospital market is experiencing growth due to the various strategies chosen by key players. These include strategic partnerships and collaborations to leverage each other's expertise and resources, technological advancements to enhance modular hospital designs and functionalities, geographical expansions to enter into new markets and customer bases, and investments in research and development to improve product offerings continually. Additionally, customization and flexibility in modular hospital solutions are being prioritized to meet the unique needs of different healthcare facilities and settings, thereby increasing their adoption and market penetration. Overall, these strategies aim to strengthen market presence, increase competitiveness, and cater to evolving healthcare demands efficiently.

For instance, in January 2020, The Norfolk and Norwich University Hospital, U.K., awarded a project to Portakabin Ltd to build an off-site healthcare suite for patients. It is named 'The Aylsham Suite' and has space for nearly 28 patients. It also includes areas for relaxation, therapies, and treatments.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/alysham-suite/)

Restraint Factors of Modular Hospital Market

Limited Customization to Restrict Market Growth

The Modular Hospital market faces a challenge due to limited customization. While modular hospitals offer pre-designed and pre-fabricated components that can be quickly assembled, there may be limitations in terms of tailoring the design to specific needs or preferences. This lack of customization could pose challenges for healthcare providers who require specialized facilities or layouts to meet unique opera...

This horizontal bar chart displays hospital beds (per 1,000 people) by country full name using the aggregation average, weighted by population in Serbia. The data is about countries per year.

Births that occurred by hospital name. Birth events of 5 or more per hospital location are displayed

Introduction

Introducing the Gujarati Scripted Monologue Speech Dataset for the Healthcare Domain, a voice dataset built to accelerate the development and deployment of Gujarati language automatic speech recognition (ASR) systems, with a sharp focus on real-world healthcare interactions.

Speech Data

This dataset includes over 6,000 high-quality scripted audio prompts recorded in Gujarati, representing typical voice interactions found in the healthcare industry. The data is tailored for use in voice technology systems that power virtual assistants, patient-facing AI tools, and intelligent customer service platforms.

Topic Coverage

The prompts span a broad range of healthcare-specific interactions, such as:

Contextual Depth

To maximize authenticity, the prompts integrate linguistic elements and healthcare-specific terms such as:

These elements make the dataset exceptionally suited for training AI systems to understand and respond to natural healthcare-related speech patterns.

Transcription

Every audio recording is accompanied by a verbatim, manually verified transcription.

This horizontal bar chart displays hospital beds (per 1,000 people) by country full name using the aggregation average, weighted by population in Eastern Asia. The data is about countries.

Introduction

Introducing the Tamil Scripted Monologue Speech Dataset for the Healthcare Domain, a voice dataset built to accelerate the development and deployment of Tamil language automatic speech recognition (ASR) systems, with a sharp focus on real-world healthcare interactions.

Speech Data

This dataset includes over 6,000 high-quality scripted audio prompts recorded in Tamil, representing typical voice interactions found in the healthcare industry. The data is tailored for use in voice technology systems that power virtual assistants, patient-facing AI tools, and intelligent customer service platforms.

Topic Coverage

The prompts span a broad range of healthcare-specific interactions, such as:

Contextual Depth

To maximize authenticity, the prompts integrate linguistic elements and healthcare-specific terms such as:

These elements make the dataset exceptionally suited for training AI systems to understand and respond to natural healthcare-related speech patterns.

Transcription

Every audio recording is accompanied by a verbatim, manually verified transcription.

Nursing Personnel Cards acted as the personnel record for each nurse and relate to trainee Nurses and trainee Nurses' Aides who either completed some of their training, their full training, or were employed by RCH. A summary of information about each nurse or trainee contained on the cards includes demographical information, dates each year of training was commenced, ward or department worked, leave taken, examination results, and and ward reports about the nurse's or trainee's performance.

Cards are either green or yellow and are intermixed. While the majority of the cards are green, there are a handful of yellow cards which were used for 'affiliated nurses'. These have different information from the green cards. The yellow cards have a computer printout titled 'student nurse report'. Information included on the yellow cards includes seniority, employee number, weeks in location, location, date commenced, summary (handwritten), registered nurse signature, student nurse signature.

Green cards are folded in a manner which suggests that they were stored in a flat file (most likely a flat tray, visible edge card file) with the name of the trainee nurse at the bottom of the card. Information on these cards includes the name and relationship of next of kin, home and local address at the top section of card and a photograph (on right hand side). Column 1 has the date of birth, standard of education, nursing bursary, religion. Column 2 has the date of entry into each year level. Column 3 has the date passed examinations, nursing appointments made and when left from Royal Children's Hospital.

The training history is inside the folded card. Cards are divided into rows and columns with the training history recorded. This section records the ward and specialty work experience, including external placements. The information is arranged in blocks with multiple columns, indicating the dates that the trainee nurse attended each area. Sick leave, holidays and examination results are included in this section. Each pair of columns has a heading indicating the ward or department of allocation.

Numbers are written in some columns. These numbers may be dates as none of the numbers go above 31. Some of these numbers are written in red. Numbers in the Royal Melbourne Hospital (RMH) column have a bracket joining them together and pointing to the information in the Outpatients column. In some instances abbreviations are used and in other instances the following has been written: M/M (male medical), F/M (female medical), M/S (male surgical), F/S (female surgical). Numbers next to this information refer to a number of days. This is possibly days in these types of wards, but probably not the number of days at RMH.

Nurses were required to attend various other hospitals (perhaps instead of RMH?), e.g. Prince Henry Hospital from ?1972, Mercy Maternity Hospital from ?1978, Royal District Nursing Service from ?1972, St Vincent's Hospital from ?1973. Information in the column headed 'examinations' is typed. Exams were for the following subjects (the year in brackets refers to exams that were added in later years). Preliminary School, Anatomy and Physiology, Junior General Nursing (results are divided into 'w' and 'p' - meaning 'ward work' and 'practice' in 1967), Paediatrics,First Professional, Senior General Nursing (results are divided into 't' and 'p', this changes to 'w' and 'p' in c. 1967), Dietetics, Medical, Surgical, Materia Medica, Gynaecology, Ophthalmic, Ear, Nose, Throat, Snr Paediatrics, State Final, Nutrition (c. 1963), Research (c. 1968), General Nursing and Related Sciences (1973), Normal Nutrition (1973), General Science (1973), Psych (1973), Microbiology (1977), Infectious (1964).

The results column is handwritten as a number, percentage, 'aver[age]', or 'pass'. In 1975 some subjects are given a letter grade instead of a percentage. The back of the card is labelled 'training record (continued)'. Under this is a section titled 'summary of reports'. The information is typed and pertains to how the nurse performed during their time on each ward or department, and always includes a short typed overall summary of the personality of the nurse and their suitability for their chosen profession. The summary report always includes all of the wards or departments, even if the nurse did not work in all of the areas. Some of the ward or department names are written in red. These names correspond to numbers written in red on the training record. (More research is required).

Information on the inside of card includes, number of sick leave days (recorded in the summary section from? 1997), prizes awarded to a nurse (written in red on the front of the card), personal opinions from the nurses revealing his/her attitude to nursing (written in pencil and dated). There are also handwritten notes such as 'NO' or 'ND' (some have a number next to this, e.g. '6/52 after Jan'). These notes relate to when a nurse was able to do night duty and how long the night duty was for. There are other numbers written in red pen on the left of the card (e.g. GS 778 1781) these relate to the nurse's student number with the Victorian Nursing Council.

Extra notes about the individual trainee are stored with the relevant card e.g. correspondence received after completion of training, reports of serious problems or issues, suspensions for a serious breach of rules, extra information relating to the 'summary of reports'. A photo (where present) of the trainee is attached with what appears to be a water based glue to the card. In most of the photos the trainee is not in uniform, suggesting that the photos were perhaps provided by the individual.

On all cards the field 'date of entry' on front of card has the same date as the field 'entered' which is located on the inside of the card. Photos are mostly black and white. In 1968 & 1969 some photographs were taken in colour.

Next of kin, nurse address and phone number is written in pencil. All other details are written in pen. From the 1970s some personal details are typed (some straight onto the cards and others are typed onto labels). The Matron's Summary records what the nurse will do after training is completed (e.g. return to staff after leave, marriage on completion of training). The summary also records major illnesses.
There are a small number of cards where the photograph is not extant. It is unknown why a red 'post it note' flag is on a small number of records (in boxes 1-5). Each card is initialled by the relevant Matron at the time.

Depending on how a trainee was progressing (in relation to performance, ability or situation) they could move up or down to different groups. They could discontinue their nursing training, do Nurse's Aide training, and then re-commence their nursing training in a different group.

Abbreviations include:
T = theory, P = practice, C/T = completion of training, PTS = preliminary training
School

Prior to transfer to Public Record Office Victoria, the records in this series were maintained as part of the Royal Children's Hospital (RCH) Archives. They were part of RCH accession number 2011/006.

Objective: This research aims to analyze the application regularity of Chinese patent medicine during the COVID-19 epidemic by collecting the names of the top three Chinese patent medicines used by 24 hospitals in 14 provinces of China in four time periods (January 20–22, February 16–18, March 01–03, April 01–03, 2020), and explore its contribution to combating the disease.Methods: 1) We built a database of the top three Chinese patent medicines used by 24 hospitals. 2) The frequency and efficacy distribution of Chinese patent medicine were analyzed with risk areas, regions, and hospitals of different properties as three factors. 3) Finally, we analyzed the differences in the use of heat-clearing and non-heat-clearing medicines among the three factors (χ2 test) and the correlation between the Chinese patent medicine and COVID-19 epidemic (correlation analysis) with SPSS 23.0 statistical software.Results: 1) The heat-clearing medicine was the main use category nationwide during January 20–22, 2020. Meanwhile, there was a significant difference in the utilization rate of heat-clearing and non-heat-clearing medicine in different risk areas (p < 0.01). 2) The variety of Chinese patent medicine was increased nationwide during February 16–18, 2020, mainly including tonics, blood-activating and resolving-stasis, and heat-clearing medicines. Meanwhile, there was a significant difference in the utilization rate of heat-clearing and non-heat-clearing medicine in the southern and northern regions (p < 0.05). 3) Tonics, and blood-activating and resolving-stasis medicines became the primary use categories nationwide during March 01–03, 2020. 4) The tonics class, and blood-activating and resolving-stasis medicine were still the primary categories nationwide during April 01–03, 2020. Meanwhile, there was a significant difference in the utilization rate of heat-clearing and non-heat-clearing medicine in different risk areas (p < 0.01).Conclusion: Chinese patent medicine has a certain degree of participation in fighting against the COVID-19. The efficacy distribution is related to the risk area, region, and hospital of different properties, among which the risk area is the main influencing factor. It is hoped that future research can further collect the application amount of Chinese patent medicine used in hospitals all over the country, so as to perfectly reflect the relationship between Chinese patent medicine and the epidemic situation.

Medicare Spending per Beneficiary

Detailed Hospital Expense Breakdown

By Health [source]

About this dataset

This file allows healthcare executives and analysts to make informed decisions regarding how well continued improvements are being made over time so that they can understand how efficient they are fulfilling treatments while staying within budgetary constraints. Additionally, it’ll also help them map out trends amongst different hospitals and spot anomalies that could indicate areas where decisions should be reassessed as needed

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How to use the dataset

This dataset can provide valuable insights into how Medicare is spending per patient at specific hospitals in the United States. It can be used to gain a better understanding of the types of services covered under Medicare, and to what extent those services are being used. By comparing the average Medicare spending across different hospitals, users can also gain insight into potential disparities in care delivery or availability.

To use this dataset, first identify which hospital you are interested in analyzing. Then locate the row for that hospital in the dataset and review its associated values: value, footnote (optional), and start/end dates (optional). The Value column refers to how much Medicare spends on each particular patient; this is a numerical value represented as a decimal number up to 6 decimal places. The Footnote (optional) provides more information about any special circumstances that may need attention when interpreting the value data points. Finally, if Start Date and End Date fields are present they will specify over what timeframe these values were aggregated over.

Once all relevant data elements have been reviewed successively for all hospitals of interest then comparison analysis among them can be conducted based on Value, Footnote or Start/End dates as necessary to answer specific research questions or formulate conclusions about how Medicare is spending per patient at various hospitals nationwide

Research Ideas

• Developing a cost comparison tool for hospitals that allows patients to compare how much Medicare spends per patient across different hospitals.
• Creating an algorithm to help predict Medicare spending at different facilities over time and build strategies on how best to manage those costs.
• Identifying areas in which a hospital can save money by reducing unnecessary spending in order to reduce overall Medicare expenses

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Medicare_hospital_spending_per_patient_Medicare_Spending_per_Beneficiary_Additional_Decimal_Places.csv | Column name | Description | |:---------------|:--------------------------------------------------------------------------------------| | Value | The amount of Medicare spending per patient for a given hospital or region. (Numeric) | | Footnote | Any additional notes or information related to the value. (Text) | | Start_Date | The start date of the period for which the value applies. (Date) | | End_Date | The end date of the period for which the value applies. (Date) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Health.

Access one of the most robust, up-to-date databases in the industry with McGRAW's Global Healthcare Professionals Masterfile. Our database includes 16 million verified healthcare professionals from around the world, offering an unparalleled resource for B2B marketing, lead generation, and data enhancement. McGRAW's proprietary sources and extensive validation processes ensure the highest accuracy in our records, making it a trusted choice for connecting with healthcare experts.

Why Choose McGRAW's Healthcare Masterfile?

With our dedicated offshore call centers and social media validation teams, each record undergoes rigorous verification, from confirming clinic locations and phone numbers to cross-referencing LinkedIn profiles for practice and personal authenticity. We maintain this commitment through partnerships with over 10 data contributors who provide continuous updates, ensuring that our records stay current and relevant.

Our masterfile provides essential and detailed data fields to maximize your reach and engagement with healthcare professionals:

• Core Fields: First Name, Last Name, Specialty, Clinic Name, Address, City, State, Zip Code, Email, Phone, URL.
• Additional Fields: Hospital Affiliation, DEA/NPI codes, Social Media Handles (Facebook, Twitter, LinkedIn), SIC/NAICS Code, Consumer Email, Mobile Phone, Age, Income, Net Worth, Marital Status, Presence of Children. Our unique database features over 400 demographic and lifestyle selections, offering limitless segmentation possibilities.

Each list is updated with USPS’s 48-month NCOA (National Change of Address) data before shipment, ensuring address accuracy. All records are 100% DPV (Delivery Point Validation) coded, and phone numbers are appended upon request, with DNC (Do Not Call) scrubbing performed within the last 30 days to guarantee top-tier data hygiene and compliance.

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McGRAW also offers enhancements to elevate your existing records, such as email appending, consumer and business email updates, LinkedIn handles, NPI numbers, office size, and more. Our service ensures that each record is comprehensive, customizable, and ready for integration into your marketing strategies.

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For clients seeking targeted healthcare leads, McGRAW provides highly detailed ailment and diabetic lead lists. Our filtering options are unmatched, delivering specialized lists that increase conversion potential for health insurance and medical-related campaigns. With exclusive access to multiple sources, we utilize sophisticated internet marketing strategies to generate high-quality leads who actively express interest, ensuring you receive only the most engaged prospects.

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We cater to a wide array of healthcare lead needs, including nurse leads, medical specialist leads, and more. Whether you need real-time internet-generated leads or filtered demographic lists, McGRAW has the resources to support your campaign.

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Experience rapid data delivery through API or email, allowing you to integrate McGRAW's healthcare leads directly into your CRM with ease. Contact us today to explore how McGRAW’s Healthcare Professionals Global Masterfile can transform your B2B healthcare outreach.

This series contains the details of surgical operations performed at Westmead Hospital.

The registers record: date, designated operating theatre, serial number, ward, type of anaesthetic, anaesthetist, type of operation, duration, surgeon in charge, assistants, theatre sister in attendance, pathological conditions and remarks.

Data on non-reimbursement information of the Central Veterans Hospital, consisting of classification, name, code, classification, cost, lowest cost, highest cost, whether or not treatment materials are included, whether drug costs are included, and specific matters.

Success.ai’s Healthcare Industry Leads Data and B2B Contact Data for US Healthcare Professionals offers an extensive and verified database tailored to connect businesses with key executives and administrators in the healthcare industry across the United States. With over 170M verified profiles, including work emails and direct phone numbers, this dataset enables precise targeting of decision-makers in hospitals, clinics, and healthcare organizations.

Backed by AI-driven validation technology for unmatched accuracy and reliability, this contact data empowers your marketing, sales, and recruitment strategies. Designed for industry professionals, our continuously updated profiles provide the actionable insights you need to grow your business in the competitive healthcare sector.

Key Features of Success.ai’s US Healthcare Contact Data:

• Comprehensive Healthcare Sector Coverage Access detailed contact information for professionals across the healthcare spectrum:

Hospital Executives: CEOs, CFOs, and COOs managing top-tier facilities. Healthcare Administrators: Decision-makers driving operational excellence. Medical Professionals: Physicians, specialists, and nurse practitioners. Clinic Managers: Leaders in small and mid-sized healthcare organizations.

• AI-Validated Accuracy and Updates

  99% Verified Accuracy: Our advanced AI technology ensures data reliability for optimal engagement. Real-Time Updates: Profiles are continuously refreshed to maintain relevance and accuracy. Minimized Bounce Rates: Save time and resources by reaching verified contacts.

• Customizable Delivery Options Choose how you access the data to match your business requirements:

API Integration: Connect our data directly to your CRM or sales platform. Flat File Delivery: Receive customized datasets in formats suited to your needs.

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• Best Price Guarantee We ensure competitive pricing for our verified contact data, offering the most comprehensive and cost-effective solution in the market.

• Compliance-Driven and Ethical Data Our data collection adheres to strict global standards, including HIPAA, GDPR, and CCPA compliance, ensuring secure and ethical usage.

• Strategic Benefits for Your Business Success.ai’s US healthcare professional data unlocks numerous business opportunities:

Targeted Marketing: Develop tailored campaigns aimed at healthcare executives and decision-makers. Efficient Sales Outreach: Engage with key contacts to accelerate your sales process. Recruitment Optimization: Access verified profiles to identify and recruit top talent in the healthcare industry. Market Intelligence: Use detailed firmographic and demographic insights to guide strategic decisions. Partnership Development: Build valuable relationships within the healthcare ecosystem.

• Data Highlights 170M+ Verified Profiles 50M Direct Phone Numbers 700M Global Professional Profiles 70M Verified Company Profiles

Key APIs for Advanced Functionality

• Enrichment API Enhance your existing contact data with real-time updates, ensuring accuracy and relevance for your outreach initiatives.

• Lead Generation API Drive high-quality lead generation efforts by utilizing verified contact information, including work emails and direct phone numbers, for up to 860,000 API calls per day.

• Use Cases

1. Healthcare Marketing Campaigns Target verified executives and administrators to deliver personalized and impactful marketing campaigns.

2. Sales Enablement Connect with key decision-makers in healthcare organizations, ensuring higher conversion rates and shorter sales cycles.

3. Talent Acquisition Source and engage healthcare professionals and administrators with accurate, up-to-date contact information.

4. Strategic Partnerships Foster collaborations with healthcare institutions and professionals to expand your business network.

5. Industry Analysis Leverage enriched contact data to gain insights into the US healthcare market, helping you refine your strategies.

• What Sets Success.ai Apart?

Verified Accuracy: AI-driven technology ensures 99% reliability for all contact details. Comprehensive Reach: Covering healthcare professionals from large hospital systems to smaller clinics nationwide. Flexible Access: Customizable data delivery methods tailored to your business needs. Ethical Standards: Fully compliant with healthcare and data protection regulations.

Success.ai’s B2B Contact Data for US Healthcare Professionals is the ultimate solution for connecting with industry leaders, driving impactful marketing campaigns, and optimizing your recruitment strategies. Our commitment to quality, accuracy, and affordability ensures you achieve exceptional results while adhering to ethical and legal standards.

No one beats us on price. Period.