Health Technology, Medical Devices
Article | May 22, 2023
Your sales cycle encompasses every action you take to close a new customer as a salesperson. But there is a possibility for the sales cycle to be confused with sales methodology. Sales methodology is a framework in which one practices a sales cycle. Whereas the sales cycle is the step-by-step process of you, as a salesperson, to close a deal with a client.
Piper Drive, a sales CRM and pipeline management platform defines a sales cycle as the series of predictable phases required to sell a product or a service, and that sales cycles can vary greatly among organizations, products, and services, and no one sale will be the same.
Especially with the healthcare industry, a thorough understanding of your health tech sales cycle will make your sales operations more efficient. Shortening the sales cycle without an up-front investment for sales is one of the critical healthcare sales and marketing goals. If you shorten your health tech sales cycle, you get more time to make additional leads. This will ultimately result in having an improved bottom line.
A faster and shorter sales cycle can bring you more advantages in the competitive sales world of your industry. It will indeed allow your company to grow its business by improving market share. Have you ever thought, as a salesperson, about the effective ways to shorten the health tech sales cycle? This article mainly focuses on proactive ways to shorten your sales cycle and improve profitability.
Challenges of Long B2B Health Tech Sales Cycle
According to Marketing Sherpa, a market research institute, the length of the sales cycle can vary from industry to industry. Comparatively, the health tech industry has a longer sales cycle. Still, there are many effective ways to shorten it and bring a positive impact on your sales process.
In general, B2B sales take a lot of time to maintain. Thus, the B2B health tech sales cycle takes even months to close a sale with a prospect and faces many challenges in the process. Some of the challenges you may face, as a health tech salesperson, can be the following on the process:
Turning the Lead to a Sales-Ready Prospect
No health tech salesperson will find a lead ready to make the sale without any persuasion from you. In the health tech sales cycle, lead nurturing should be your best bet to convert a prospect.
With longer sales cycles, it won't be easy to nurture a lead all through the process and make a sales-ready prospect. It would be easier to convert leads when they are ready if you keep in touch with the prospects. People often find it difficult to do so in the long health tech sales cycle and end up not converting potential clients into happy customers.
Maintaining Engagement Over Time
The sales team keeps converting leads on their radar. As days and months pass, it is challenging to memorize each prospect you have interacted with. Neglecting them brings nothing to your business.
It can be a juggle to balance new prospects with existing SQLs. Older ones may get lost in the weeds as new leads come in. No one can tell which one is a higher priority. Whom will you pay more attention to and for how long? It can be a severe obstacle in the long B2B health tech sales cycle.
Keeping Your Sales Team Energized
If your sales team is not engaged with the process itself and enjoys it, they will have a more challenging time dealing with leads. It is a fact that, unfortunately, salespeople can become frustrated or bored due to working with difficult and hesitant leads.
As the health tech sales cycle drags on, it is tough to remain emotionally calm. If you have no strategies to energize them promptly, apathy or discouragement may come into play.
Ensuring Marketing and Sales Alignment
Lack of communication between the sales and healthcare marketing teams can pose the most detrimental challenges. It can impact the health tech sales cycle seriously. This loss of alignment between marketing and sales can hurt lead nurturing and lead to further difficulties like the ones listed above.
When the two teams move out of sync, it often requires a lot of effort to get them on the same page again. These teams can work separately with decisions and different goals, but it would not benefit the entire company.
Five Stages of the Typical Sales Cycle
It is better to understand the five stages of the health tech sales cycle to comprehend how the sales cycle comes into play completely.
Prospect
This is the stage where the sales team attracts leads and listens to them, and learns to offer what they need.
Connect
This is the stage for you to get leads to move forward with your offers. You can utilize all the data you have amassed during prospecting.
Research
As a salesperson, this is when you learn about leads and determine whether the prospect intends to buy.
Present
In this stage of the health tech sales cycle, you offer your product or services as an effective solution for your lead's pain points.
Close
It’s a fit! By now, you know if your lead wants your product or service and move forward.
Benefits of Shortening your Sales Cycle
A shorter health tech sales cycle allows you to meet more prospects within the same time frame. For example, if you take one week for each prospect to complete the cycle, you can meet more people than with a two-week average life cycle for a single prospect. As you meet more people, it allows you to make more money. Moreover, most of the prospects prefer to have shorter sales cycles provided that you fulfill their need and solve their problem.
However, even with a short health tech sales cycle, you should have an effective method to track sales information. Along with a short sales cycle, an effective method will increase your team’s efficiency and sales numbers. You will make more profits and improve your sales cycle.
Ways to Shorten your Long Health Tech Sales Cycle
One of the significant challenges faced by healthcare technology salespeople is shortening their health tech sales cycle. Unlike B2C, the B2B process of sales has to deal with many decision-makers and educate them about the value of your products. Typically, it takes a lot of time and effort to convince your prospects that your solution is customized to meet their unique needs.
However, your health tech sales cycle can become agonizingly long as each prospect can have a different perspective about your solution. It can also occur due to the number of people involved in the decision-making in B2B companies. According to the latest Demand Gen Report, the buyer’s journey is getting more complicated and longer. This makes the sales process worse, which is already tedious.
However, the good news is that you can follow these marketing strategies to shorten your health tech sales cycle tactically.
Understand Your Buyer Personas
Keep yourself away from trying to engage the wrong people. This will not bring you any results in the end. Before commencing the sales process, you should have a clear idea of who your targeted audience is. The decision-makers or influencers in the organizations you are targeting are your buyer personas.
After identifying your personas, by answering the following questions, you can outline their qualities:
• What are their goals?
• What are their responsibilities?
• What trigger drives them to buy?
• What problems are they dealing with?
• How do they like to research?
• What inhibits a purchase?
As you answer these questions, you will get a clear idea of the best way to approach them.
Send an Introductory Video
The prospects get to know the salesperson only in the in-person meeting. So before the in-person meeting, you can consider sending them an introduction video. This would add value and explain why you are interested in them with a ‘call-to-action. It creates familiarity by the time you connect with them. This is a very creative step to shorten your health tech sales cycle.
Provide Pre-Sales Appointment Content
Having a sales appointment with a prospect, who does not know anything about your solution, is one of the biggest mistakes you can make in your health tech sales cycle. This means you may have to have several meetings to convince the client. This problem can be eliminated with a lead nurturing email with informative content. This email can have a link to an informative blog about your product, which was written previously. It will make them peruse your website before the actual sales meeting with you. It saves your time by eliminating many meetings to educate the prospect about your product.
Provide Post-Sales Appointment Content
The prospect is expected to come out with some concerns and objections after the first sales appointment. As a healthcare tech company salesperson, it is your responsibility to eliminate all those obstacles by addressing them strategically. Sending follow-up emails, videos, and case studies helps address those concerns. The content can be used to guide other prospects too. Overcoming these obstacles with effective content can shorten your health tech sales cycle effectively.
Come Clean with Pricing
Pricing of your products can be one of the main concerns for your prospects. Many salespeople address it only at the last stage of the health tech sales cycle. Not revealing the price at the beginning will only lengthen your process. Moreover, it may result in losing trust in you. Be transparent and reveal the price, to save yourself from such issues.
Leverage Social Proof
One of the smartest ways to win the trust of your prospect is to provide social proof. It will also make the deal close sooner. The best social proofs are case studies with the impact of your products or ROI. Remember to make that the company featured in the case study is similar to the particular prospect's company.
In the health tech sales cycle, it is crucial to thoroughly understand the prospect. Your sales cycle should connect with the process of lead nurturing, where you act as an advisor. This will also help you build trust with the prospects and increase your chances of closing the deal before the expected time.
Executing all of these alone would be challenging. At Media7, we help companies market their healthcare technology product with innovative strategies and support by implementing these strategies effectively. Our strategies help attract prospects, convert them and turn them into your happy customers forever. To know more about us, visit https://media7.com/
Frequently Asked Questions
What are the stages in the health tech sales cycle?
B2B health tech sales cycles include seven main stages. They are sales prospecting, making contact, qualifying the lead, nurturing the lead, making an offer, handling objections, and closing the sale. Following these steps help a salesperson to close the sale effectively.
How does the health tech sales cycle help?
The health tech sales cycle helps you identify potential clients and nurture them through the process of sales. It makes you effectively and efficiently guide your clients and gives them the confidence to go forward with more effort.
What are the best practices for the health tech sales cycle?
The best practices for the health tech sales cycle can be attracting more prospects through content marketing, building trust by understanding clients better, focusing on your customers' clients, and knowing the prospect’s organizational chart.
Why is the sales cycle important in health tech?
The sales cycle in the health tech industry helps the sales managers to forecast the accurate picture of your sales. This because they know where your salespersons are in the sales cycle. It also gives a clear picture of how many deals your salespeople close out of a given number of leads.
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Health Technology
Article | July 5, 2023
Discover the potential of EHR implementation in revolutionizing clinical processes. Uncover strategies for addressing EHR ethical issues, ensuring integration that prioritizes patient-centered care.
Amidst the fusion of healthcare and technology, integrating electronic health records (EHRs) has emerged as a transformative element in modern medical practice. As a digital repository for a patient's medical journey, EHRs present unprecedented prospects for elevated care quality, improved data accessibility, and cost-effectiveness. Nevertheless, these advancements bring forth an array of EHR ethical issues that demand meticulous attention. In this context, establishing and adhering to the best practices for the ethical training of EHRs assumes paramount importance and a moral obligation. By skillfully navigating the intricate convergence of technology, patient confidentiality, and conscientious healthcare, these ethical EHR best practices illuminate the path toward a future where innovation and ethical principles harmoniously coexist.
1. Upholding Privacy and Confidentiality
Revealing a patient's information to external parties should strictly happen with the patient's explicit consent or within the parameters defined by legal regulations. Data stemming from clinical interactions is confidential and requires rigorous protection. The effective operation of EHRs requires authorized access by healthcare institutions, insurers, and related entities. Access by users is contingent upon predefined role-based privileges. The administrator identifies users, specifies the extent of information accessibility, and allocates exclusive usernames and passwords. Users must be conscientious about responsibly utilizing the information they access within their designated roles. Therefore, assigning user privileges plays a pivotal role in securing medical records. However, while regulating data access remains crucial, it doesn’t completely ensure confidentiality. Strengthening security through comprehensive privacy and security protocols remains essential for reinforcing patient data's inviolabilit.
2. Safeguarding Against Data Breaches
Ensuring patient privacy and safeguarding sensitive medical data is paramount in EHR ethical training. The imperatives of inadequate data security, encompassing compromised medical information, unauthorized access due to weak password safeguards, and the lack of encryption, accentuate the immediate need for a holistic approach. Employing strategies such as secure cloud storage, robust password protocols, two-factor authentication, and encryption is pivotal in enhancing data security, preventing the mishandling of patient records, and abiding by ethical standards. The potential legal and financial consequences of breaches underscore the criticality of these practices in maintaining patient trust and confidentiality within the digital healthcare domain.
3. EHR System Implementation
The integration of EHRs within healthcare organizations poses significant challenges, including resource waste, provider dissatisfaction, diminished patient trust, and potential safety risks. Successful EHR development, implementation, and upkeep demand substantial investment and collaboration among stakeholders, including clinicians, IT experts, educators, and consultants. Clinicians' active engagement is often underestimated, leading to the failure of EHR projects; therefore, clinician-led guidance is crucial in tasks such as EHR selection, workflow design, and quality improvement. Thoroughly mapping workflows before selecting an EHR is crucial, while maintaining user-friendly interfaces remains essential for success. Neglecting these aspects can reduce efficiency, compromise care, and increase safety threats. By prioritizing comprehensive planning, engaging clinicians, and optimizing user interfaces, healthcare institutions can ensure ethical and efficient EHR integration, ultimately enhancing patient care and safety.
4. Maintaining Data Accuracy
Upholding data accuracy stands as a fundamental principle in the ethical EHR domain. The integrity of information guarantees its unaltered and precise nature, contributing significantly to the enhancement of patient safety, reduction of healthcare errors, mitigation of health disparities, and betterment of public health. Nevertheless, concerns have been voiced regarding the reliability of data input into electronic records. The improper utilization of functionalities such as 'cut and paste' can lead to misleading portrayals of a patient's condition and treatment, breaching ethical standards. This practice poses elevated risks to patients and increases the liability of clinicians and institutions. Challenges also arise from drop-down menus that limit a clinician's choices, potentially giving rise to substantial errors, especially under time constraints. The collaborative efforts of clinicians and vendors can address software concerns, promoting user-friendly, reliable EHRs while tackling EHR ethical issues. Furthermore, data loss during transfers raises pertinent concerns about the accuracy of the database, a critical aspect as patient care decisions hinge on this data.
5. Guaranteeing Data Authenticity
The assurance of documentation integrity pertains to the accurate and precise nature of the comprehensive health record. This includes principles of information governance, identifying patients, validating authorship, handling amendments and corrections in records, and auditing documentation validity while submitting reimbursement claims. EHR tools offer flexible documentation options through the utilization of templates and smart phrases, assisting in precise record-keeping. However, if these tools are misused, doubts about data integrity can arise, making information unreliable and possibly raising concerns about fraudulent activity. Established policies and procedures, including audit functions, must be in place to ensure proper billing. With adequate safeguards, records may accurately represent the patient's condition at admission and over time. Providers must understand the importance of reviewing and refining default data to ensure that only patient-specific information for that visit is recorded. In contrast, irrelevant data from default templates is removed.
6. Validating Dictation to Prevent Errors
Voice recognition systems lacking a validation step pose considerable challenges in maintaining data accuracy and preventing documentation errors within organizations, particularly when it comes to ethical issues with electronic health records. EHR companies need to implement a protocol requiring providers to promptly assess, modify, and validate dictated information. Given these documents' frequent use and sharing, precise and high-quality documentation in EHR systems is of utmost significance. The adoption of EHRs has led to substantial shifts in provider workflows and documentation processes. However, providers still need to clearly outline or fully understand comprehensive best practices for maintaining high-quality documentation in EHRs. Advancements are necessary to enhance documentation tools and methods, with a renewed emphasis on the essential aspects of data accuracy and quality. This should precede the widespread implementation of interoperable health information exchange initiatives.
7. Ensuring Accurate Documentation
Maintaining the integrity of documentation is compromised when incorrect information finds its way onto the wrong patient's health record. Patient identification errors can influence clinical decisions, endanger patient safety, violate privacy and security, and lead to redundant testing and escalated expenses for patients as well as providers. The propagation of patient identification mistakes can rapidly expand within EHR, personal health records, and Health Information Exchange (HIE) networks as information disseminates. Failing to implement advanced front-end solutions that incorporate robust matching algorithms or innovative techniques like biometrics or fingerprinting can expose organizations to risk. EHRs can incorporate targeted alerts to anticipate safety problems, like blood type inconsistencies or allergies, during treatment, addressing EHR issues. Organizations must institute a patient identity integrity program, integrating performance improvement metrics to monitor error rates and duplicate records in their electronic master patient index. Policies and procedures must ensure the accuracy of critical demographic data, facilitating the linkage of records within and across systems. Addressing the initial point of data capture as a primary front-end verification is also vital within policies.
8. Preserving the Authenticity of Audit Trails
Effective audits are crucial to ensuring that the health record documentation aligns with the reported level of service, fulfills reimbursement requirements set by payers, and guarantees that only authorized personnel access patient medical records and make entries. The audit trail must encompass the user's name, the triggering application, workstation details, the specific document, a description of the audited event (such as amendments, corrections, or deletions), and the timestamp. This audit trail outlines modifications (including deletions) within the health record and provides auditors with a foundation for compliance audits. Inadequate audit trail functionality within EHRs raises concerns about the integrity of health record documentation, potentially exposing organizations to legal liabilities and inadvertently fostering or shielding criminal activities. It may become challenging to ascertain if corrections or amendments were executed, who authorized the changes, or the nature of the modifications. In addition to the inherent unintentional errors that documentation might encounter, audit trail functionality can aid in detecting instances where records are altered to obstruct the disclosure of detrimental information. Organizations can utilize EHR trends to leverage audit trail features for identifying and analyzing patterns in health record usage. Typically, users can generate reports over specific time frames categorized by provider or provider type, with results directed to a compliance committee or the organization's governing body.
9. Fostering Compliance Awareness
Enhancing ethical EHR training involves a strategic focus on ensuring providers are well-versed in compliance and legal risks, starting from the EHR training phase. To address EHR problems, organizations should implement educational initiatives aimed at mitigating compliance issues. Staff education must emphasize the integrity of health record documentation, with a continuous program monitored and provided quarterly or annually. Addressing the 'who, what, why, and how' ensures a solid grasp of organizational practices that uphold individual best practices, encompassing identifying potential fraud, universal and administrative security measures, data validity, authorship, continual education's significance, and strategies for daily fraud prevention.
10. Conducting Feedback Sessions
Contrary to common assumptions, ongoing training is essential post-EHR implementation. After installing the EHR and initiating patient interactions, challenges inevitably emerge—be it staff unfamiliarity with functions or the need to revamp workflow processes. Promptly identifying these concerns to prevent errors and swiftly resolving them involves collecting feedback from EHR users among the staff, particularly in relation to EHR ethical issues. During the weeks after the system's launch, contemplate arranging routine meetings to gather insights. Ensuring diverse representation, including clinical staff, physicians, administrators, billing, and front desk personnel, is crucial. Seek input on their adaptation to changes and areas requiring improvement. Determine if specific training concepts need reinforcement. Surveys can be used in place of frequent meetings. Subsequently, prioritizing problem areas aids focused resolution by promptly addressing critical matters. The introduction of incremental changes helps staff adapt to the EHR seamlessly, safeguarding patient care continuity during the transition.
The Path Ahead
Following these ethical EHR training best practices ensures the accuracy and reliability of patient data, leading to improved clinical decision-making and patient safety. By maintaining documentation integrity, professionals can confidently provide quality care and reduce the risk of errors. Ethical EHR training further strengthens compliance with legal regulations, safeguarding both the organization as well as the healthcare provider from potential legal liabilities. Moreover, adhering to best practices promotes efficient workflows, enhancing productivity, and streamlining operations. Patient trust and confidence are strengthened as professionals demonstrate their commitment to data security, confidentiality, and ethical conduct. Ultimately, by upholding ethical EHR training standards, professionals contribute to a robust healthcare system by fostering positive patient outcomes, maintaining trust, and supporting the principles of ethical healthcare delivery.
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Health Technology
Article | July 3, 2023
Momentum in digital healthcare transformation… it’s massive, and much needed.
As organizations adapt to new modes of care, demands on resources, and consumer expectations, payors and providers are eyeing opportunities to reduce costs, improve care, build awareness, and expand relationships.Here are 8 trends we’re currently tracking into 2021:
TREND 1
The evolution of healthcare will be characterized by a reengineering of clinical care and operations around digital health and pervasive real-time use of data and advanced analytics. Gartner
TREND 2
The current landscape has underscored the importance of improving workflows, achieving greater clinical efficiencies and better integrating data across organizations through tools like natural language processing, remote process automation, and cloud-based technologies. Becker’s Hospital Review
TREND 3
Now more than ever, healthcare organizations must build a multi-channel digital experience portfolio to deliver personalized consumer-centric experiences that drive engagement and reduce costs. Becker’s Hospital Review
TREND 4
With increasing emphasis on cross-platform (EHR, CRM, CMS, virtual health, etc.) and cross-organizational data portability, advanced APIs and interoperability should ensure secure and efficient data exchanges between EHR systems, devices, and various channels of care. Forbes
TREND 5
COVID-19 has pushed telehealth into the mainstream, and adoption has gained impressive traction. Expect expansions of asynchronous virtual care leveraging integrated wearable technologies. Business Insider Intelligence / Research and Markets
TREND 6
With more healthcare data available, artificial intelligence and machine learning technologies will provide greater speed and insights to analyze and predict outcomes that drive change in patient care. Gartner / Forrester
TREND 7
Organizations will continue looking to Social Determinant of Health strategies to help understand health disparities – including those highlighted through COVID-19 infections – and alleviate some of the financial strains while delivering high quality care. Fierce Healthcare / Healthify
TREND 8
Successfully making the transition to offering greater price transparency will not only put healthcare organizations in compliance, but help satisfy patient demand, increasing patient engagement and even point-of-service payments. Health Leaders Media
The strategy imperative
With so much call for transformation, it’s vital to resist the pull of “shiny object” point solutions and to, instead, build a fully-considered digital strategy. Need help getting started? Our healthcare experts help the nation’s largest providers and payers navigate and execute their north star strategy, tackling specific challenges through assessments, best-practice advice, strategy, and roadmaps. Explore our thought leadership and connect with us to learn more today.
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AI
Article | December 21, 2021
Global efforts to tackle gender inequality have grown in recent years. But there is still so much to be done. Figures from the United Nations show that outcomes for women and girls continue to lag across a range of issues, including poverty, education, work and health. And according to the World Economic Forum, at the current rate, it will take 108 years to close the gender gap.
Although healthcare is founded in objectivity and science, gender bias is still remarkably common. We wanted to understand more about female perceptions of healthcare, so we undertook consumer research that delved into the experiences of women compared to men. The results pointed to a clear disparity, finding that women are less likely to visit the doctor when they have symptoms of ill health and, in some cases, are taken less seriously when they do seek medical advice.
Women being left behind
According to our research, a significant proportion of British women feel disappointed in the healthcare they receive, with one in five reporting they weren’t taken seriously when presenting symptoms to a healthcare provider. What’s more, a staggering one in four said they are reluctant to seek medical advice at all for fear of wasting a GP’s time. These statistics suggest that, not only are female experiences of healthcare damaging their relationship with clinicians, but they could be eroding confidence in recognising and acting on warning signs and symptoms too.
This sentiment is particularly evident when focusing on cardiac care. One in eight women (13%) feel ignored when presenting symptoms of heart disease to healthcare professionals, compared to just 4% of men. And of UK adults who have received a coronary heart disease (CHD) diagnosis, women experiencing symptoms were 55% more likely than men to visit the doctor multiple times before receiving a referral for further investigation. On top of this, women are five times more likely to receive a false finding from the cardiac stress tests that are traditionally used to assess heart health.
“There does appear to be a gender bias in onward referral to secondary care and for diagnostics in the local area, which is influenced by the attending healthcare professionals’ risk assessment. Traditional teaching has led to gender bias, as we are programmed to attribute a lower level of pre-test probability and risk to females. This may have contributed to a general lack of awareness around cardiovascular health in women. For example, in a survey I carried out among more than 600 female employees working within North West Anglia NHS Foundation Trust, 82% said they didn’t feel informed about their cardiovascular health. Considering participants included some of the most medically informed women in the UK, the results speak volumes about how we view cardiac health among women.”
- Dr Rebecca Schofield, consultant cardiologist at North West Anglia NHS Foundation Trust
These widespread misconceptions around heart disease and heart attacks are often exacerbated by what we see in the media – think of the countless TV stereotypes of male characters clutching their chests and falling to the floor.
But given that CHD is responsible for one in 13 female deaths, it appears that public health efforts have failed to make people aware of the risks for women. It is, perhaps, not surprising then that 42% of women with CHD did not immediately recognise their symptoms as signs of heart disease. In short, women are missing out on time-critical diagnoses and treatment due to a lack of awareness and education among both healthcare providers and the public.
Technologies making a difference
Thankfully, progress is being made to improve healthcare outcomes for women. Innovative technologies are increasingly providing diagnostic solutions that can reduce incidences of human bias and give clinicians greater clarity on the presence or severity of different conditions in their female patients.
For example, AI is already being used to detect diseases such as cancer more accurately. Its adoption is facilitating reviews and translations of mammograms 30 times faster, with 99% accuracy, reducing the need for unnecessary biopsies.
There’s extraordinary potential for AI and healthcare, and it’s something the NHS continues to recognise, most recently with the launch of its Artificial Intelligence Laboratory (AI Lab) and NHS England’s (NHSE) MedTech Funding Mandate. The latter aims to accelerate the uptake of selected innovative medical devices, diagnostics, and digital products to patients.
As part of the NHS efforts, NHSE has mandated the HeartFlow Analysis for use in hospitals across England for patients, male or female, who might otherwise be sent for a cardiac stress test. The HeartFlow Analysis is a gender-neutral technology that takes data from a coronary CT scan of the heart and leverages deep learning (a form of AI) and highly trained analysts to create a personalised, digital 3D model of each patient’s coronary arteries. This then helps clinicians to quickly diagnose CHD and decide the appropriate treatment for patients of any gender. Time spent in hospital is minimised for patients and often layered testing and unnecessary invasive diagnostic procedures can be avoided.
Final thoughts
While AI is helping us tackle gender bias in certain areas such as oncologic and cardiac testing, healthcare professionals are not absolved of responsibility when it comes to confronting this problem. It remains incumbent upon clinicians to recognise unconscious bias that would deter them from referring women or minority patients for much-needed testing.
Outside of the hospital, public health education efforts must expand so that far more of us can recognise shortness of breath, nausea, vomiting, back or jaw pain, and other symptoms beyond chest pain to be indicators of a heart attack in a woman. Knowing what to look for and overcoming personal bias that might lead to these signs being disregarded, may allow us to help one of the more than 100 women who will experience a heart attack in the UK today.
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