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Philips Future Health Index 2025: AI poised to transform global healthcare, urging leaders to act now

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Philips (NYSE: PHG) has released its 10th annual Future Health Index (FHI) 2025 Report, revealing critical insights about AI's potential in healthcare and current system challenges. The report, spanning 16 countries, highlights that 33% of patients experienced deteriorating health due to doctor appointment delays, with some countries facing up to 4-month specialist wait times. Healthcare professionals lose approximately 23 full days annually due to data management issues, with 75% reporting lost clinical time from incomplete patient information.

While AI shows promise in transforming healthcare delivery, a significant trust gap exists - 34% more clinicians see AI's benefits compared to patients. Key concerns include liability for AI-driven errors (75% unclear about accountability), data bias risks, and the need for robust validation. The report suggests that by 2030, AI could potentially double patient capacity through administrative task automation and clinical assistance.

Philips (NYSE: PHG) ha pubblicato il suo 10° Future Health Index (FHI) 2025 Report, svelando importanti approfondimenti sul potenziale dell'IA nella sanità e le sfide attuali del sistema. Il rapporto, che copre 16 paesi, evidenzia che il 33% dei pazienti ha subito un peggioramento della salute a causa dei ritardi nelle visite mediche, con alcuni paesi che affrontano tempi di attesa fino a 4 mesi per specialisti. I professionisti sanitari perdono circa 23 giorni interi all'anno a causa di problemi nella gestione dei dati, con il 75% che segnala perdita di tempo clinico dovuta a informazioni incomplete sui pazienti.

Nonostante l'IA mostri promettenti capacità di trasformare l'erogazione delle cure, esiste un significativo divario di fiducia: il 34% in più di clinici percepisce i benefici dell'IA rispetto ai pazienti. Le principali preoccupazioni riguardano la responsabilità per errori causati dall'IA (75% non ha chiarezza su chi sia responsabile), i rischi di bias nei dati e la necessità di una valida convalida. Il rapporto suggerisce che entro il 2030 l'IA potrebbe potenzialmente raddoppiare la capacità di assistenza ai pazienti grazie all'automazione delle attività amministrative e al supporto clinico.

Philips (NYSE: PHG) ha publicado su décimo Informe Future Health Index (FHI) 2025, revelando datos clave sobre el potencial de la IA en la salud y los desafíos actuales del sistema. El informe, que abarca 16 países, destaca que el 33% de los pacientes experimentaron un deterioro en su salud debido a retrasos en las citas médicas, con algunos países enfrentando esperas de hasta 4 meses para especialistas. Los profesionales de la salud pierden aproximadamente 23 días completos al año por problemas en la gestión de datos, y el 75% reporta pérdida de tiempo clínico por información incompleta de pacientes.

Aunque la IA promete transformar la atención médica, existe una brecha significativa de confianza: un 34% más de clínicos percibe los beneficios de la IA en comparación con los pacientes. Las preocupaciones principales incluyen la responsabilidad por errores causados por IA (75% no tienen claro quién es responsable), riesgos de sesgo en los datos y la necesidad de validación rigurosa. El informe sugiere que para 2030 la IA podría duplicar la capacidad de atención al paciente mediante la automatización de tareas administrativas y asistencia clínica.

필립스 (NYSE: PHG)은 10번째 연례 Future Health Index (FHI) 2025 보고서를 발표하며 의료 분야에서 AI의 잠재력과 현재 시스템의 문제점에 대한 중요한 통찰을 제공했습니다. 16개국을 대상으로 한 이 보고서는 33%의 환자가 의사 예약 지연으로 인해 건강이 악화되었으며, 일부 국가에서는 전문의 대기 시간이 최대 4개월에 달한다고 밝혔습니다. 의료 전문가들은 데이터 관리 문제로 연간 약 23일의 임상 시간을 잃고 있으며, 75%는 불완전한 환자 정보로 인해 임상 시간이 손실되었다고 보고했습니다.

AI가 의료 서비스 혁신에 가능성을 보이지만, 신뢰의 격차가 큽니다 - 임상의 중 34% 더 많은 이 AI의 이점을 인식하는 반면, 환자들은 그렇지 않습니다. 주요 우려 사항으로는 AI 오류에 대한 책임 문제(75%가 책임 소재를 명확히 알지 못함), 데이터 편향 위험, 그리고 강력한 검증의 필요성이 포함됩니다. 보고서는 2030년까지 AI가 행정 업무 자동화와 임상 지원을 통해 환자 수용 능력을 두 배로 늘릴 수 있다고 제안합니다.

Philips (NYSE : PHG) a publié son 10e Future Health Index (FHI) 2025 Report, révélant des informations cruciales sur le potentiel de l'IA dans le domaine de la santé et les défis actuels du système. Le rapport, couvrant 16 pays, souligne que 33 % des patients ont vu leur santé se détériorer à cause de retards dans les rendez-vous médicaux, certains pays faisant face à des délais d'attente jusqu'à 4 mois pour consulter un spécialiste. Les professionnels de santé perdent environ 23 jours complets par an à cause de problèmes de gestion des données, avec 75 % signalant une perte de temps clinique due à des informations patients incomplètes.

Bien que l'IA montre un fort potentiel pour transformer la prestation des soins, un important déficit de confiance subsiste : 34 % de cliniciens en plus perçoivent les bénéfices de l'IA par rapport aux patients. Les principales préoccupations concernent la responsabilité en cas d'erreurs liées à l'IA (75 % ignorent qui est responsable), les risques de biais des données et la nécessité d'une validation rigoureuse. Le rapport suggère qu'en 2030, l'IA pourrait potentiellement doubler la capacité d'accueil des patients grâce à l'automatisation des tâches administratives et à l'assistance clinique.

Philips (NYSE: PHG) hat seinen 10. jährlichen Future Health Index (FHI) 2025 Bericht veröffentlicht, der wichtige Erkenntnisse über das Potenzial von KI im Gesundheitswesen und aktuelle Systemherausforderungen offenlegt. Der Bericht, der 16 Länder umfasst, zeigt, dass 33 % der Patienten aufgrund von Arztterminverzögerungen eine Verschlechterung ihres Gesundheitszustands erlebten, wobei einige Länder Wartezeiten von bis zu 4 Monaten für Spezialisten haben. Gesundheitsfachkräfte verlieren jährlich etwa 23 volle Tage durch Datenmanagementprobleme, wobei 75 % berichten, dass unvollständige Patienteninformationen zu Zeitverlust in der klinischen Arbeit führen.

Obwohl KI vielversprechend ist, um die Gesundheitsversorgung zu transformieren, besteht eine erhebliche Vertrauenslücke – 34 % mehr Kliniker sehen die Vorteile von KI im Vergleich zu Patienten. Wichtige Bedenken sind die Haftung für KI-Fehler (75 % sind sich der Verantwortlichkeit unklar), Risiken durch Datenverzerrungen und der Bedarf an robuster Validierung. Der Bericht legt nahe, dass KI bis 2030 die Patientenkapazität durch Automatisierung administrativer Aufgaben und klinische Unterstützung potenziell verdoppeln könnte.

Positive
  • AI implementation could potentially double patient capacity by 2030
  • 69% of clinicians are already involved in AI and digital technology development
  • AI shows potential to reduce administrative burden and clinician burnout
  • Report provides comprehensive data from 16 countries to guide healthcare transformation
Negative
  • 33% of patients experiencing worsening health due to care delays
  • 75% of healthcare professionals lose clinical time due to data management issues
  • Significant trust gap exists between clinicians and patients regarding AI adoption
  • 75% of stakeholders unclear about liability for AI-driven errors
  • Only 38% of clinicians believe current AI tools meet real-world needs

Insights

Philips positions itself at forefront of healthcare AI transformation while highlighting adoption challenges that could affect industry growth timeline.

Philips' 10th annual Future Health Index report offers valuable strategic insights into how the company is positioning itself in the evolving healthcare AI landscape. The report strategically frames Philips as a thought leader in healthcare transformation at a critical moment when the industry faces severe operational challenges – lengthy wait times, clinician burnout, and data overload – problems their AI solutions aim to address.

The data presented paints a compelling case for AI adoption: 33% of patients experiencing worsening health due to care delays, clinicians losing 23 full days annually to data inefficiencies, and 46% of healthcare professionals concerned about missed early diagnoses without AI implementation. These statistics effectively build the business case for Philips' AI-enabled solutions.

However, the report also candidly acknowledges significant obstacles to AI adoption. The trust gap between clinicians and patients (34% more clinicians see AI benefits) represents a meaningful market barrier that could slow implementation timelines. More concerning for near-term revenue implications is that only 38% of clinicians believe current tools meet real-world needs, suggesting Philips still faces product-market fit challenges.

From an investment perspective, this report signals Philips' strategic commitment to healthcare AI while simultaneously managing expectations about adoption velocity. By highlighting both the urgent need and implementation challenges, Philips is setting realistic timelines for investors while positioning itself as a company driving solutions to healthcare's most pressing challenges through AI integration.


May 15, 2025

AI has the power to cut care delays and manage data overload, but trust gaps among clinicians and patients threaten to slow adoption and impact


Amsterdam, the Netherlands –
Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, has released its 10th annual Future Health Index (FHI) report, highlighting the growing strain on global healthcare systems. The FHI 2025 Report, the largest global survey of its kind analyzing key concerns of healthcare professionals and patients, indicates AI holds promise for transforming care delivery. However, gaps in trust threaten to stall progress at a time when innovation is most needed.

“The need to transform healthcare delivery has never been more urgent,” said Carla Goulart Peron, M.D., Chief Medical Officer at Philips. “In more than half of the 16 countries surveyed, patients are waiting nearly two months or more for specialist appointments, with waits in Canada and Spain extending to four months or longer. As healthcare systems face mounting pressures, AI is rapidly emerging as a powerful ally, offering unprecedented opportunities to transform care and overcome today’s toughest challenges.”

Long waits, worsening outcomes
The FHI 2025 report reveals 33% of patients have experienced worsening health due to delays in seeing a doctor, and more than 1 in 4 end up in the hospital due to long wait times. “Cardiac patients face especially dangerous delays, with 31% being hospitalized before even seeing a specialist. Without urgent action, a projected shortfall of 11 million health workers by 2030 could leave millions without timely care,” Dr. Peron added.

Clinician burnout and data burdens call for digital relief

More than 75% of healthcare professionals report losing clinical time due to incomplete or inaccessible patient data, with one-third losing over 45 minutes per shift, adding up to 23 full days a year lost by each professional. “These inefficiencies amplify stress on already understaffed teams and contribute to burnout,” said Gretchen Brown, RN, VP and Chief Nursing Information Officer at Stanford Health Care. “Recognizing this, as clinicians, we see AI as a solution and understand that delayed adoption can also carry major risks.”   

Of the nearly 2,000 healthcare professionals surveyed, if AI is not implemented:

  • 46% fear missed opportunities for early diagnosis and intervention
  • 46% cite growing burnout from non-clinical tasks
  • 42% worry about an expanding patient backlog

Trust gaps remain the biggest barrier to widespread AI adoption
While clinicians are generally optimistic, the FHI 2025 report highlights a significant trust gap with patients – 34% more clinicians see AI’s benefits than patients do, with optimism especially lower among patients aged 45 and older. Even among clinicians, skepticism remains: 69% are involved in AI and digital technology development, but only 38% believe these tools meet real-world needs. Concerns around accountability persist, with over 75% unclear about liability for AI-driven errors. Data bias is another major worry, as it risks deepening healthcare disparities if left unaddressed. “To build trust with clinicians, we need education, transparency in decision-making, rigorous validation of models, and the involvement of healthcare professionals in every step of the process,” Brown added. 

The path forward: human-centric AI integration

Patients want AI to work safely and effectively, reducing errors, improving outcomes, and enabling more personalized, compassionate care. Clinicians say trust hinges on clear legal and ethical standards, strong scientific validation, and continuous oversight. As AI reshapes healthcare, building trust is essential to delivering life-saving innovation faster and at scale.

“To realize the full potential of AI, regulatory frameworks must evolve to balance rapid innovation with robust safeguards to ensure patient safety and foster trust among clinicians,” said Shez Partovi, Chief Innovation Officer at Philips. “By 2030, AI could transform healthcare by automating administrative tasks, potentially doubling patient capacity as AI agents assist, learn, and adapt alongside clinicians. To that end, we must design AI with people at the center—built in collaboration with clinicians, focused on safety, fairness, and representation—to earn trust and deliver real impact in patient care.”


About the Future Health Index 2025
The Future Health Index is the largest global survey of its kind, analyzing the priorities and perspectives of healthcare professionals and patients across multiple countries. The Future Health Index 2025 investigates how innovative technologies, particularly AI, can empower healthcare professionals to deliver better care to more people. For more information, or to download the full FHI 2025 Global Report, visit www.philips.com/futurehealthindex-2025.

For further information, please contact:

Kathy O’Reilly
Philips Global External Relations
Tel.: +1 978-807-1449
E-mail: kathy.oreilly@philips.com


About Royal Philips

Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people’s health and well-being through meaningful innovation. Philips’ patient- and people-centric innovation leverages advanced technology and deep clinical and consumer insights to deliver personal health solutions for consumers and professional health solutions for healthcare providers and their patients in the hospital and the home.

Headquartered in the Netherlands, the company is a leader in diagnostic imaging, ultrasound, image-guided therapy, monitoring and enterprise informatics, as well as in personal health. Philips generated 2024 sales of EUR 18 billion and employs approximately 67,200 employees with sales and services in more than 100 countries. News about Philips can be found at www.philips.com/newscenter.

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FAQ

What are the key findings of Philips (PHG) Future Health Index 2025 report about healthcare delays?

The report reveals that 33% of patients experienced worsening health due to appointment delays, with some countries facing up to 4-month specialist wait times. 31% of cardiac patients are hospitalized before seeing a specialist.

How much time do healthcare professionals lose due to data management issues according to Philips' 2025 report?

Healthcare professionals lose approximately 23 full days annually, with 75% reporting lost clinical time due to incomplete or inaccessible patient data. One-third lose over 45 minutes per shift.

What is the trust gap between clinicians and patients regarding AI adoption in healthcare?

The report shows 34% more clinicians see AI's benefits compared to patients, with lower optimism among patients aged 45 and older. 75% are unclear about liability for AI-driven errors.

How could AI impact healthcare capacity by 2030 according to Philips' FHI report?

According to the report, AI could potentially double patient capacity by 2030 through automation of administrative tasks and AI agents assisting, learning, and adapting alongside clinicians.

What are the main concerns about AI implementation in healthcare according to PHG's 2025 report?

Key concerns include unclear liability for AI-driven errors, data bias risks deepening healthcare disparities, lack of trust among patients, and only 38% of clinicians believing current AI tools meet real-world needs.
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